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2020 – today
- 2025
[j113]Yunzhi Huang
, Luyi Han, Haoran Dou, Sahar Ahmad, Pew-Thian Yap:
Symmetric deformable registration of multimodal brain magnetic resonance images via appearance residuals. Comput. Methods Programs Biomed. 261: 108578 (2025)- [j112]Guoye Lin, Shuo Yang, Yangfan Chen, Qing Xu, Pew-Thian Yap, Zhaoqiang Yun, Qianjin Feng:
TransFArchNet: Predicting dental arch curves based on facial point clouds in personalized panoramic X-ray imaging. Expert Syst. Appl. 270: 126577 (2025) - [j111]Xiaochuan Wang, Yuqi Fang, Qianqian Wang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu:
Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection. Medical Image Anal. 101: 103403 (2025) - [j110]Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu:
Disentangled latent energy-based style translation: An image-level structural MRI harmonization framework. Neural Networks 184: 107039 (2025) - [j109]Qianqian Wang, Junhao Zhang, Long Li, Lishan Qiao, Pew-Thian Yap, Mingxia Liu:
Graph augmentation guided federated knowledge distillation for multisite functional MRI analysis. Pattern Recognit. 164: 111559 (2025) - 2024
- [j108]Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Ming-Xia Liu:
Source-free unsupervised domain adaptation: A survey. Neural Networks 174: 106230 (2024) - [j107]Khoi Minh Huynh, Wei-Tang Chang, Ye Wu, Pew-Thian Yap:
Optimal shrinkage denoising breaks the noise floor in high-resolution diffusion MRI. Patterns 5(4): 100954 (2024) - [j106]Hao Guan, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu:
Federated learning for medical image analysis: A survey. Pattern Recognit. 151: 110424 (2024) - [j105]Xiaoyang Chen, Qin Liu, Hannah H. Deng, Tianshu Kuang, Hung-Ying Lin, Deqiang Xiao, Jaime Gateno, James J. Xia, Pew-Thian Yap:
Improving image segmentation with contextual and structural similarity. Pattern Recognit. 152: 110489 (2024) - [j104]Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu:
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. IEEE Trans. Biomed. Eng. 71(8): 2391-2401 (2024) - [c145]Geng Chen, Hao Yang, Runlin Zhang, Musa Bakarr, Yong Xia, Pew-Thian Yap:
Unsupervised Super-Resolution of Diffusion-Weighted Images via Deep Diffusion Prior. BIBM 2024: 3092-3095 - [c144]Yilin Liu, Yunkui Pang, Jiang Li, Yong Chen, Pew-Thian Yap:
Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization. ECCV (14) 2024: 341-358 - [c143]Guoshi Li, Kim-Han Thung, Hoyt Patrick Taylor, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Sahar Ahmad, Pew-Thian Yap:
Development of Effective Connectome from Infancy to Adolescence. MICCAI (3) 2024: 131-140 - [c142]Yunkui Pang, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian:
SinoSynth: A Physics-Based Domain Randomization Approach for Generalizable CBCT Image Enhancement. MICCAI (7) 2024: 646-656 - [i30]Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu:
Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework. CoRR abs/2402.06875 (2024) - [i29]Mengqi Wu, Minhui Yu, Shuaiming Jing, Pew-Thian Yap, Zhengwu Zhang, Mingxia Liu:
Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion. CoRR abs/2408.09315 (2024) - [i28]Yunkui Pang, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian:
SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement. CoRR abs/2409.18355 (2024) - 2023
- [j103]Pengli Zhu, Siyuan Liu, Yancheng Liu, Pew-Thian Yap:
METER: Multi-task efficient transformer for no-reference image quality assessment. Appl. Intell. 53(24): 29974-29990 (2023) - [j102]Lei Ma, Chunfeng Lian, Dae-Seung Kim, Deqiang Xiao, Dongming Wei, Qin Liu, Tianshu Kuang, Maryam Ghanbari, Guoshi Li, Jaime Gateno, Steve Guo-Fang Shen, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning. Medical Image Anal. 83: 102644 (2023) - [j101]Geng Chen, Yoonmi Hong, Khoi Minh Huynh, Pew-Thian Yap:
Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions. Medical Image Anal. 85: 102742 (2023) - [j100]Gabriel Girard, Jonathan Rafael-Patino, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz, Tomasz Pieciak, Matteo Frigo, Sara Sedlar, Samuel Deslauriers-Gauthier, Ivana Kojcic, Mauro Zucchelli, Hiba Laghrissi, Yang Ji, Rachid Deriche, Kurt G. Schilling, Bennett A. Landman, Alberto Cacciola, Gianpaolo Antonio Basile, Salvatore Bertino, Nancy Newlin, Praitayini Kanakaraj, Francois Rheault, Patryk Filipiak, Timothy M. Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada, Steven H. Baete, Erick Hernandez-Gutierrez, Alonso Ramirez-Manzanares, Ricardo Coronado-Leija, Pablo Stack-Sánchez, Luis Concha, Maxime Descoteaux, Sina Mansour L, Caio Seguin, Andrew Zalesky, Kenji Marshall, Erick Jorge Canales-Rodríguez, Ye Wu, Sahar Ahmad, Pew-Thian Yap, Antoine Théberge, Florence Gagnon, Frédéric Massi, Elda Fischi Gomez, Remy Gardier, Juan Luis Villarreal-Haro, Marco Pizzolato, Emmanuel Caruyer, Jean-Philippe Thiran:
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. NeuroImage 277: 120231 (2023) - [j99]Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap:
Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. Pattern Recognit. 143: 109715 (2023) - [j98]Zhanlong Yang, Linzhi Yang, Geng Chen, Pew-Thian Yap:
Improved polar complex exponential transform for robust local image description. Pattern Recognit. 143: 109786 (2023) - [j97]Hao Guan, Ling Yue, Pew-Thian Yap, Shifu Xiao, Andrea Bozoki, Mingxia Liu:
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI. IEEE J. Biomed. Health Informatics 27(6): 2980-2989 (2023) - [j96]Huazhu Fu, Yitian Zhao, Pew-Thian Yap, Carola-Bibiane Schönlieb, Alejandro F. Frangi:
Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. IEEE Trans. Medical Imaging 42(2): 332-335 (2023) - [j95]Lei Ma, Deqiang Xiao, Daeseung Kim, Chunfeng Lian, Tianshu Kuang, Qin Liu, Hannah H. Deng, Erkun Yang, Michael A. K. Liebschner, Jaime Gateno, James J. Xia, Pew-Thian Yap:
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning. IEEE Trans. Medical Imaging 42(2): 336-345 (2023) - [j94]Feng Cheng, Yilin Liu, Yong Chen, Pew-Thian Yap:
High-Resolution 3D Magnetic Resonance Fingerprinting With a Graph Convolutional Network. IEEE Trans. Medical Imaging 42(3): 674-683 (2023) - [j93]Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - [c141]Yilin Liu, Jiang Li, Yunkui Pang, Dong Nie, Pew-Thian Yap:
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior. ICCV 2023: 12374-12383 - [c140]Junjie Zhao, Siyuan Liu, Sahar Ahmad, Pew-Thian Yap:
MeshDeform: Surface Reconstruction of Subcortical Structures via Human Brain MRI. IPMI 2023: 536-547 - [c139]Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen:
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. MICCAI (8) 2023: 25-34 - [c138]Khoi Minh Huynh, Ye Wu, Sahar Ahmad, Pew-Thian Yap:
Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments. MICCAI (8) 2023: 131-141 - [c137]Ye Wu, Xiaoming Liu, Xinyuan Zhang, Khoi Minh Huynh, Sahar Ahmad, Pew-Thian Yap:
Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture. MICCAI (8) 2023: 152-162 - [c136]Hoyt Patrick Taylor, Pew-Thian Yap:
Dynamic Functional Connectome Harmonics. MICCAI (8) 2023: 268-276 - [c135]Xiaoyang Chen, Junjie Zhao, Siyuan Liu, Sahar Ahmad, Pew-Thian Yap:
SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI. MICCAI (8) 2023: 380-388 - [c134]Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu:
Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. MLMI@MICCAI (1) 2023: 1-11 - [c133]Cheng Che Tsai, Xiaoyang Chen, Sahar Ahmad, Pew-Thian Yap:
Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior. MLMI@MICCAI (1) 2023: 42-51 - [i27]Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu:
Source-Free Unsupervised Domain Adaptation: A Survey. CoRR abs/2301.00265 (2023) - [i26]Xiaoyang Chen, Jinjian Wu, Wenjiao Lyu, Yicheng Zou, Kim-Han Thung, Siyuan Liu, Ye Wu, Sahar Ahmad, Pew-Thian Yap:
Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning. CoRR abs/2301.01369 (2023) - [i25]Yilin Liu, Jiang Li, Yunkui Pang, Dong Nie, Pew-Thian Yap:
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior. CoRR abs/2304.11409 (2023) - [i24]Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu:
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. CoRR abs/2306.14080 (2023) - [i23]Xiaoyang Chen, Junjie Zhao, Siyuan Liu, Sahar Ahmad, Pew-Thian Yap:
Reconstruction of Cortical Surfaces with Spherical Topology from Infant Brain MRI via Recurrent Deformation Learning. CoRR abs/2312.05986 (2023) - [i22]Yilin Liu, Yunkui Pang, Jiang Li, Yong Chen, Pew-Thian Yap:
Towards Architecture-Insensitive Untrained Network Priors for Accelerated MRI Reconstruction. CoRR abs/2312.09988 (2023) - 2022
- [j92]Tiantian Xu, Ye Wu, Yoonmi Hong, Sahar Ahmad, Khoi Minh Huynh, Zhixing Wang, Weili Lin, Wei-Tang Chang, Pew-Thian Yap:
Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding. Medical Image Anal. 81: 102548 (2022) - [j91]Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto De Luca, Josien P. W. Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick Jorge Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prckovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki:
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257: 119327 (2022) - [j90]Maryam Ghanbari, Zhen Zhou, Li-Ming Hsu, Ying Han, Yu Sun, Pew-Thian Yap, Han Zhang, Dinggang Shen:
Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease. Neuroinformatics 20(2): 391-403 (2022) - [j89]Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen:
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. 124: 108420 (2022) - [j88]Dongming Wei, Sahar Ahmad, Yuyu Guo, Liyun Chen, Yunzhi Huang, Lei Ma, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen, Qian Wang:
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. IEEE Trans. Medical Imaging 41(5): 1219-1229 (2022) - [j87]Yankun Lang, Chunfeng Lian, Deqiang Xiao, Han Deng, Kim-Han Thung, Peng Yuan, Jaime Gateno, Tianshu Kuang, David M. Alfi, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning. IEEE Trans. Medical Imaging 41(10): 2856-2866 (2022) - [j86]Xu Chen, Tianshu Kuang, Hannah H. Deng, Steve H. Fung, Jaime Gateno, James J. Xia, Pew-Thian Yap:
Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation. IEEE Trans. Medical Imaging 41(11): 3445-3453 (2022) - [c132]Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap:
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. MICCAI (1) 2022: 113-122 - [c131]Hao Guan, Siyuan Liu, Weili Lin, Pew-Thian Yap, Mingxia Liu:
Fast Image-Level MRI Harmonization via Spectrum Analysis. MLMI@MICCAI 2022: 201-209 - [c130]Sahar Ahmad, Fang Nan, Ye Wu, Zhengwang Wu, Weili Lin, Li Wang, Gang Li, Di Wu, Pew-Thian Yap:
Harmonization of Multi-site Cortical Data Across the Human Lifespan. MLMI@MICCAI 2022: 220-229 - [c129]Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang:
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. MICCAI (4) 2022: 258-267 - [c128]Yankun Lang, Xiaoyang Chen, Hannah H. Deng, Tianshu Kuang, Joshua C. Barber, Jaime Gateno, Pew-Thian Yap, James J. Xia:
DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models. MICCAI (2) 2022: 444-452 - [c127]Yunkui Pang, Xu Chen, Yunzhi Huang, Pew-Thian Yap, Jun Lian:
Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer. MICCAI (6) 2022: 485-494 - [d8]Sahar Ahmad, Pew-Thian Yap:
Surface-Volume Atlases of the Infant Brain. Zenodo, 2022
- [i21]Hao Guan, Ling Yue, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu:
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI. CoRR abs/2206.12480 (2022) - [i20]Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang:
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. CoRR abs/2206.15254 (2022) - [i19]Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap:
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network. CoRR abs/2208.04825 (2022) - 2021
- [j85]Gregory Szalkowski, Dong Nie, Tong Zhu, Pew-Thian Yap, Jun Lian:
Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept. Comput. Biol. Medicine 138: 104917 (2021) - [j84]Yunzhi Huang, Sahar Ahmad, Jingfan Fan, Dinggang Shen, Pew-Thian Yap:
Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images. Medical Image Anal. 67: 101817 (2021) - [j83]Feihong Liu, Jun Feng, Geng Chen, Dinggang Shen, Pew-Thian Yap:
Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. Medical Image Anal. 68: 101828 (2021) - [j82]Yue Zhou, Houjin Chen, Yanfeng Li, Qin Liu, Xuanang Xu, Shu Wang, Pew-Thian Yap, Dinggang Shen:
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images. Medical Image Anal. 70: 101918 (2021) - [j81]Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Diverse data augmentation for learning image segmentation with cross-modality annotations. Medical Image Anal. 71: 102060 (2021) - [j80]Hao Guan, Yunbi Liu, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. Medical Image Anal. 71: 102076 (2021) - [j79]Xuanang Xu, Chunfeng Lian, Shuai Wang, Tong Zhu, Ronald C. Chen, Andrew Z. Wang, Trevor J. Royce, Pew-Thian Yap, Dinggang Shen, Jun Lian:
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images. Medical Image Anal. 72: 102116 (2021) - [j78]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3(1): 60-67 (2021) - [j77]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Publisher Correction: Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3(2): 181 (2021) - [j76]Deqiang Xiao, Chunfeng Lian, Li Wang, Hannah H. Deng, Hung-Ying Lin, Kim-Han Thung, Jihua Zhu, Peng Yuan, Leonel Perez Jr., Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects. IEEE Trans. Biomed. Eng. 68(2): 362-373 (2021) - [j75]Deqiang Xiao, Chunfeng Lian, Han Deng, Tianshu Kuang, Qin Liu, Lei Ma, Daeseung Kim, Yankun Lang, Xu Chen, Jaime Gateno, Steve Guo-Fang Shen, James J. Xia, Pew-Thian Yap:
Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning. IEEE J. Biomed. Health Informatics 25(8): 2958-2966 (2021) - [j74]Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 40(1): 274-285 (2021) - [j73]Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen:
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Trans. Medical Imaging 40(2): 503-513 (2021) - [j72]Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Trans. Medical Imaging 40(4): 1279-1289 (2021) - [j71]Xiaoyang Chen, Chunfeng Lian, Hannah H. Deng, Tianshu Kuang, Hung-Ying Lin, Deqiang Xiao, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN. IEEE Trans. Medical Imaging 40(12): 3867-3878 (2021) - [c126]Luyi Han, Haoran Dou, Yunzhi Huang, Pew-Thian Yap:
Deformable Registration of Brain MR Images via a Hybrid Loss. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 141-146 - [c125]Yilin Liu, Yong Chen, Pew-Thian Yap:
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting. MICCAI (6) 2021: 161-170 - [c124]Khoi Minh Huynh, Wei-Tang Chang, Sang Hun Chung, Yong Chen, Yueh Lee, Pew-Thian Yap:
Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values. MICCAI (6) 2021: 191-200 - [c123]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap:
Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation. MICCAI (7) 2021: 381-389 - [c122]Sahar Ahmad, Ye Wu, Pew-Thian Yap:
Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates. MICCAI (7) 2021: 390-399 - [c121]Lei Ma, Daeseung Kim, Chunfeng Lian, Deqiang Xiao, Tianshu Kuang, Qin Liu, Yankun Lang, Hannah H. Deng, Jaime Gateno, Ye Wu, Erkun Yang, Michael A. K. Liebschner, James J. Xia, Pew-Thian Yap:
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning. MICCAI (4) 2021: 459-468 - [c120]Ye Wu, Yoonmi Hong, Sahar Ahmad, Pew-Thian Yap:
Active Cortex Tractography. MICCAI (7) 2021: 467-476 - [c119]Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guo-Fang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. MICCAI (4) 2021: 469-477 - [c118]Ye Wu, Sahar Ahmad, Pew-Thian Yap:
Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters. MICCAI (7) 2021: 477-486 - [c117]Yankun Lang, Hannah H. Deng, Deqiang Xiao, Chunfeng Lian, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia:
DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models. MICCAI (4) 2021: 478-487 - [c116]Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia:
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. MLMI@MICCAI 2021: 606-614 - [c115]Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
Skull Segmentation from CBCT Images via Voxel-Based Rendering. MLMI@MICCAI 2021: 615-623 - [c114]Yoonmi Hong, Sahar Ahmad, Ye Wu, Siyuan Liu, Pew-Thian Yap:
Vox2Surf: Implicit Surface Reconstruction from Volumetric Data. MLMI@MICCAI 2021: 644-653 - [i18]Yilin Liu, Yong Chen, Pew-Thian Yap:
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting. CoRR abs/2107.08120 (2021) - [i17]Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guo-Fang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. CoRR abs/2109.05191 (2021) - [i16]Siyuan Liu, Pew-Thian Yap:
Learning Multi-Site Harmonization of Magnetic Resonance Images Without Traveling Human Phantoms. CoRR abs/2110.00041 (2021) - [i15]Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia:
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. CoRR abs/2110.03828 (2021) - [i14]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Learning MRI Artifact Removal With Unpaired Data. CoRR abs/2110.04604 (2021) - [i13]Shuai Wang, Theodore Yanagihara, Bhishamjit Chera, Colette Shen, Pew-Thian Yap, Jun Lian:
Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images. CoRR abs/2110.12192 (2021) - [i12]Luyi Han, Haoran Dou, Yunzhi Huang, Pew-Thian Yap:
Deformable Registration of Brain MR Images via a Hybrid Loss. CoRR abs/2110.15027 (2021) - 2020
- [j70]Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. Medical Image Anal. 59 (2020) - [j69]Liangqiong Qu, Yongqin Zhang, Shuai Wang, Pew-Thian Yap, Dinggang Shen:
Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains. Medical Image Anal. 62: 101663 (2020) - [j68]Dongming Wei, Sahar Ahmad, Jiayu Huo, Pu Huang, Pew-Thian Yap, Zhong Xue, Jianqi Sun, Wentao Li, Dinggang Shen, Qian Wang:
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors. Medical Image Anal. 65: 101763 (2020) - [j67]Yang Li, Jingyu Liu, Zi-Wen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen:
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. Neuroinformatics 18(1): 1-24 (2020) - [j66]Zhenyu Tang, Xianli Liu, Yang Li, Pew-Thian Yap, Dinggang Shen:
Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks. IEEE Trans. Image Process. 29: 6864-6872 (2020) - [j65]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. IEEE Trans. Image Process. 29: 7697-7706 (2020) - [j64]Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. IEEE Trans. Medical Imaging 39(3): 644-655 (2020) - [j63]Xu Chen, James J. Xia, Dinggang Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, Steve H. Fung, Dong Nie, Kim-Han Thung, Pew-Thian Yap, Jaime Gateno:
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Trans. Medical Imaging 39(3): 787-796 (2020) - [j62]Chunfeng Lian, Li Wang, Tai-Hsien Wu, Fan Wang, Pew-Thian Yap, Ching-Chang Ko, Dinggang Shen:
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners. IEEE Trans. Medical Imaging 39(7): 2440-2450 (2020) - [j61]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. IEEE Trans. Medical Imaging 39(11): 3607-3618 (2020) - [j60]Siyuan Liu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations. IEEE Trans. Medical Imaging 39(11): 3691-3702 (2020) - [c113]Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. MLMI@MICCAI 2020: 1-10 - [c112]Maryam Ghanbari, Li-Ming Hsu, Zhen Zhou, Amir Ghanbari, Zhanhao Mo, Pew-Thian Yap, Han Zhang, Dinggang Shen:
A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease. MICCAI (7) 2020: 3-12 - [c111]Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. DART/DCL@MICCAI 2020: 31-40 - [c110]Sahar Ahmad, Ye Wu, Khoi Minh Huynh, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. MICCAI (2) 2020: 34-43 - [c109]Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. MLMI@MICCAI 2020: 111-119 - [c108]Feng Cheng, Yong Chen, Xiaopeng Zong, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network. MICCAI (2) 2020: 158-166 - [c107]Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. MICCAI (1) 2020: 191-201 - [c106]Ye Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. MICCAI (7) 2020: 251-259 - [c105]Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. MICCAI (7) 2020: 260-269 - [c104]Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. MICCAI (7) 2020: 280-290 - [c103]Khoi Minh Huynh, Ye Wu, Kim-Han Thung, Sahar Ahmad, Hoyt Patrick Taylor IV, Dinggang Shen, Pew-Thian Yap:
Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging. MICCAI (7) 2020: 354-363 - [c102]Chunfeng Lian, Fan Wang, Hannah H. Deng, Li Wang, Deqiang Xiao, Tianshu Kuang, Hung-Ying Lin, Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. MICCAI (4) 2020: 807-816 - [c101]Yankun Lang, Chunfeng Lian, Deqiang Xiao, Hannah H. Deng, Peng Yuan, Jaime Gateno, Steve Guo-Fang Shen, David M. Alfi, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network. MICCAI (4) 2020: 817-826 - [d7]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24 shells diffusion MRI. Version 1. Zenodo, 2020 [all versions] - [d6]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Version 2. Zenodo, 2020 [all versions] - [d5]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Version 3. Zenodo, 2020 [all versions] - [d4]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Version 4. Zenodo, 2020 [all versions] - [d3]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Code used in article "Learning MRI artefact removal with unpaired data". Version 3. Zenodo, 2020 [all versions] - [d2]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Code used in article "Learning MRI Artefact Removal With Unpaired Data". Version 1. Zenodo, 2020 [all versions] - [d1]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Code used in article "Learning MRI artefact removal with unpaired data". Version 2. Zenodo, 2020 [all versions] - [i11]Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). CoRR abs/2002.10908 (2020) - [i10]Dongming Wei, Sahar Ahmad, Yunzhi Huang, Lei Ma, Qian Wang, Pew-Thian Yap, Dinggang Shen:
An Auto-Context Deformable Registration Network for Infant Brain MRI. CoRR abs/2005.09230 (2020) - [i9]Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. CoRR abs/2009.02797 (2020)
2010 – 2019
- 2019
- [j59]Sahar Ahmad, Jingfan Fan, Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations. Frontiers Neuroinformatics 13: 34 (2019) - [j58]Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen:
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. Medical Image Anal. 52: 80-96 (2019) - [j57]Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space. Medical Image Anal. 53: 79-94 (2019) - [j56]Jingfan Fan, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
BIRNet: Brain image registration using dual-supervised fully convolutional networks. Medical Image Anal. 54: 193-206 (2019) - [j55]Yongqin Zhang, Pew-Thian Yap, Geng Chen, Weili Lin, Li Wang, Dinggang Shen:
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. Medical Image Anal. 55: 76-87 (2019) - [j54]Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. Medical Image Anal. 57: 44-55 (2019) - [j53]Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Surface-constrained volumetric registration for the early developing brain. Medical Image Anal. 58 (2019) - [j52]Jingfan Fan, Xiaohuan Cao, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Adversarial learning for mono- or multi-modal registration. Medical Image Anal. 58 (2019) - [j51]Brittany R. Howell, Martin A. Styner, Wei Gao, Pew-Thian Yap, Li Wang, Kristine Baluyot, Essa Yacoub, Geng Chen, Taylor Potts, Andrew P. Salzwedel, Gang Li, John H. Gilmore, Joseph Piven, J. Keith Smith, Dinggang Shen, Kâmil Ugurbil, Hongtu Zhu, Weili Lin, Jed T. Elison:
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. NeuroImage 185: 891-905 (2019) - [j50]Gang Li, Li Wang, Pew-Thian Yap, Fan Wang, Zhengwang Wu, Yu Meng, Pei Dong, Jaeil Kim, Feng Shi, Islem Rekik, Weili Lin, Dinggang Shen:
Computational neuroanatomy of baby brains: A review. NeuroImage 185: 906-925 (2019) - [j49]Zhenyu Tang, Pew-Thian Yap, Dinggang Shen:
A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration. IEEE Trans. Biomed. Eng. 66(8): 2192-2199 (2019) - [j48]Yongqin Zhang, Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen:
Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images. IEEE Trans. Cybern. 49(2): 662-674 (2019) - [j47]Zhenyu Tang, Pew-Thian Yap, Dinggang Shen:
A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases. IEEE Trans. Image Process. 28(5): 2293-2304 (2019) - [j46]Khoi Minh Huynh, Geng Chen, Ye Wu, Dinggang Shen, Pew-Thian Yap:
Multi-Site Harmonization of Diffusion MRI Data via Method of Moments. IEEE Trans. Medical Imaging 38(7): 1599-1609 (2019) - [j45]Yoonmi Hong, Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks. IEEE Trans. Medical Imaging 38(12): 2717-2725 (2019) - [j44]Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. IEEE Trans. Medical Imaging 38(12): 2838-2848 (2019) - [c100]Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. IPMI 2019: 277-288 - [c99]Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Asymmetry Spectrum Imaging for Baby Diffusion Tractography. IPMI 2019: 319-331 - [c98]Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen:
Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data. IPMI 2019: 530-541 - [c97]Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. GLMI@MICCAI 2019: 88-95 - [c96]Yankun Lang, Li Wang, Pew-Thian Yap, Chunfeng Lian, Hannah H. Deng, Kim-Han Thung, Deqiang Xiao, Peng Yuan, Steve Guo-Fang Shen, Jaime Gateno, Tianshu Kuang, David M. Alfi, James J. Xia, Dinggang Shen:
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN. GLMI@MICCAI 2019: 130-137 - [c95]Deqiang Xiao, Li Wang, Hannah H. Deng, Kim-Han Thung, Jihua Zhu, Peng Yuan, Yriu L. Rodrigues, Leonel Perez Jr., Christopher E. Crecelius, Jaime Gateno, Tiansku Kuang, Steve Guo-Fang Shen, Daeseung Kim, David M. Alfi, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects. MICCAI (5) 2019: 327-335 - [c94]Hoyt Patrick Taylor IV, Zhengwang Wu, Ye Wu, Dinggang Shen, Han Zhang, Pew-Thian Yap:
Automated Parcellation of the Cortex Using Structural Connectome Harmonics. MICCAI (3) 2019: 475-483 - [c93]Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang:
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. MICCAI (5) 2019: 512-520 - [c92]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks. MICCAI (3) 2019: 521-528 - [c91]Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen:
Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks. MICCAI (3) 2019: 529-537 - [c90]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. MICCAI (3) 2019: 547-555 - [c89]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. MICCAI (3) 2019: 556-563 - [c88]Guoshi Li, Yujie Liu, Yanting Zheng, Ye Wu, Pew-Thian Yap, Shijun Qiu, Han Zhang, Dinggang Shen:
Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI. MICCAI (3) 2019: 682-690 - [c87]Liangqiong Qu, Shuai Wang, Pew-Thian Yap, Dinggang Shen:
Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI. MICCAI (4) 2019: 786-794 - [c86]Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. MICCAI (2) 2019: 815-822 - [e9]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11764, Springer 2019, ISBN 978-3-030-32238-0 [contents] - [e8]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11765, Springer 2019, ISBN 978-3-030-32244-1 [contents] - [e7]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11766, Springer 2019, ISBN 978-3-030-32247-2 [contents] - [e6]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV. Lecture Notes in Computer Science 11767, Springer 2019, ISBN 978-3-030-32250-2 [contents] - [e5]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V. Lecture Notes in Computer Science 11768, Springer 2019, ISBN 978-3-030-32253-3 [contents] - [e4]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI. Lecture Notes in Computer Science 11769, Springer 2019, ISBN 978-3-030-32225-0 [contents] - [i8]Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation Distributions. CoRR abs/1904.03328 (2019) - [i7]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. CoRR abs/1904.03639 (2019) - [i6]Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. CoRR abs/1906.03051 (2019) - [i5]Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang:
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. CoRR abs/1907.13020 (2019) - [i4]Feihong Liu, Jun Feng, Pew-Thian Yap, Dinggang Shen:
Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context. CoRR abs/1908.06307 (2019) - 2018
- [j43]Ping He, Xiaohua Xu, Han Zhang, Gang Li, Jingxin Nie, Pew-Thian Yap, Dinggang Shen:
Spatiotemporal Analysis of Developing Brain Networks. Frontiers Neuroinformatics 12: 48 (2018) - [j42]Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. Frontiers Neuroinformatics 12: 57 (2018) - [j41]Kim-Han Thung, Pew-Thian Yap, Ehsan Adeli, Seong-Whan Lee, Dinggang Shen:
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion. Medical Image Anal. 45: 68-82 (2018) - [j40]Xiaohuan Cao, Jianhua Yang, Jun Zhang, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Deformable Image Registration Using a Cue-Aware Deep Regression Network. IEEE Trans. Biomed. Eng. 65(9): 1900-1911 (2018) - [j39]Mingxia Liu, Yue Gao, Pew-Thian Yap, Dinggang Shen:
Multi-Hypergraph Learning for Incomplete Multimodality Data. IEEE J. Biomed. Health Informatics 22(4): 1197-1208 (2018) - [j38]Mingxia Liu, Jun Zhang, Dong Nie, Pew-Thian Yap, Dinggang Shen:
Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 22(5): 1476-1485 (2018) - [j37]Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser:
Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes. IEEE Trans. Medical Imaging 37(1): 185-199 (2018) - [j36]Zhenyu Tang, Sahar Ahmad, Pew-Thian Yap, Dinggang Shen:
Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery. IEEE Trans. Medical Imaging 37(10): 2224-2235 (2018) - [c85]Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Penalized Geodesic Tractography for Mitigating Gyral Bias. MICCAI (3) 2018: 12-19 - [c84]Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions. MICCAI (3) 2018: 45-52 - [c83]Kim-Han Thung, Pew-Thian Yap, Dinggang Shen:
Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data. PRIME@MICCAI 2018: 51-59 - [c82]Yongqin Zhang, Jie-Zhi Cheng, Lei Xiang, Pew-Thian Yap, Dinggang Shen:
Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI. MICCAI (1) 2018: 410-417 - [c81]Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen:
Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration. MICCAI (1) 2018: 739-746 - [c80]Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage. MICCAI (1) 2018: 819-826 - [i3]Jingfan Fan, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks. CoRR abs/1802.04692 (2018) - 2017
- [j35]Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen:
View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data. Medical Image Anal. 36: 123-134 (2017) - [j34]Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. NeuroImage 152: 411-424 (2017) - [c79]Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. MICCAI (1) 2017: 49-56 - [c78]Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment. Patch-MI@MICCAI 2017: 65-73 - [c77]Kim-Han Thung, Pew-Thian Yap, Dinggang Shen:
Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning. DLMIA/ML-CDS@MICCAI 2017: 160-168 - [c76]Yang Li, Jingyu Liu, Mei-Lin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification. MLMI@MICCAI 2017: 299-306 - [c75]Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification. MLMI@MICCAI 2017: 307-315 - [c74]Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Novel Effective Connectivity Network Inference for MCI Identification. MLMI@MICCAI 2017: 316-324 - [c73]Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen:
Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. MICCAI (1) 2017: 416-423 - [c72]Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Multimodal Hyper-connectivity Networks for MCI Classification. MICCAI (1) 2017: 433-441 - [c71]Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
q-Space Upsampling Using x-q Space Regularization. MICCAI (1) 2017: 620-628 - [c70]Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. MICCAI (1) 2017: 629-637 - [e3]Marc Niethammer, Martin Styner, Stephen R. Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen:
Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Lecture Notes in Computer Science 10265, Springer 2017, ISBN 978-3-319-59049-3 [contents] - [i2]Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser:
Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes. CoRR abs/1706.06682 (2017) - 2016
- [j33]Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen:
A dynamic tree-based registration could handle possible large deformations among MR brain images. Comput. Medical Imaging Graph. 52: 1-7 (2016) - [j32]Haiyong Wu, Geng Chen, Yan Jin, Dinggang Shen, Pew-Thian Yap:
Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning. Frontiers Neuroinformatics 10: 25 (2016) - [j31]Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Denoising magnetic resonance images using collaborative non-local means. Neurocomputing 177: 215-227 (2016) - [j30]Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Multi-Tissue Decomposition of Diffusion MRI Signals via ℓ0 Sparse-Group Estimation. IEEE Trans. Image Process. 25(9): 4340-4353 (2016) - [j29]Yuyao Zhang, Feng Shi, Guorong Wu, Li Wang, Pew-Thian Yap, Dinggang Shen:
Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. IEEE Trans. Medical Imaging 35(12): 2568-2577 (2016) - [c69]Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen:
Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency. Patch-MI@MICCAI 2016: 9-16 - [c68]Kim-Han Thung, Ehsan Adeli, Pew-Thian Yap, Dinggang Shen:
Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis. MICCAI (2) 2016: 88-96 - [c67]Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. MICCAI (1) 2016: 210-218 - [c66]Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang, Dinggang Shen:
Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling. MLMI@MICCAI 2016: 213-220 - [c65]Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen:
Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data. MICCAI (1) 2016: 308-316 - [c64]Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen:
Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. MICCAI (3) 2016: 561-569 - [c63]Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching. MICCAI (3) 2016: 587-595 - 2015
- [j28]Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Robust anatomical landmark detection with application to MR brain image registration. Comput. Medical Imaging Graph. 46: 277-290 (2015) - [c62]Jian Cheng, Dinggang Shen, Peter J. Basser, Pew-Thian Yap:
Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI. IPMI 2015: 782-793 - [c61]Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Collaborative non-local means denoising of magnetic resonance images. ISBI 2015: 564-567 - [c60]Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser:
Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes. MICCAI (1) 2015: 28-36 - [c59]Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Block-Based Statistics for Robust Non-parametric Morphometry. Patch-MI@MICCAI 2015: 62-70 - [c58]Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen:
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. MICCAI (3) 2015: 63-71 - [c57]Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification. MICCAI (3) 2015: 132-139 - [c56]Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen:
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation. MCV@MICCAI 2015: 137-145 - [c55]Yan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen:
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. MLMI 2015: 170-177 - [c54]Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser:
Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. MICCAI (1) 2015: 174-182 - [c53]Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization. MICCAI (1) 2015: 183-190 - [c52]Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties. MICCAI (1) 2015: 223-230 - [c51]Yuyao Zhang, Feng Shi, Pew-Thian Yap, Dinggang Shen:
Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases. MICCAI (2) 2015: 255-262 - [c50]Kim-Han Thung, Pew-Thian Yap, Ehsan Adeli-Mosabbeb, Dinggang Shen:
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion. MICCAI (3) 2015: 527-534 - 2014
- [j27]Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large deformation diffeomorphic registration of diffusion-weighted imaging data. Medical Image Anal. 18(8): 1290-1298 (2014) - [j26]Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen:
Fiber-driven resolution enhancement of diffusion-weighted images. NeuroImage 84: 939-950 (2014) - [j25]Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen:
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion. NeuroImage 91: 386-400 (2014) - [j24]Jian Cheng, Rachid Deriche, Tianzi Jiang, Dinggang Shen, Pew-Thian Yap:
Non-Negative Spherical Deconvolution (NNSD) for estimation of fiber Orientation Distribution Function in single-/multi-shell diffusion MRI. NeuroImage 101: 750-764 (2014) - [j23]Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen:
Uncertainty Estimation in Diffusion MRI Using the Nonlocal Bootstrap. IEEE Trans. Medical Imaging 33(8): 1627-1640 (2014) - [c49]Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen:
Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images. STIA 2014: 67-76 - [c48]Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Robust Anatomical Landmark Detection for MR Brain Image Registration. MICCAI (1) 2014: 186-193 - [c47]Jian Cheng, Dinggang Shen, Pew-Thian Yap:
Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code. MICCAI (3) 2014: 281-288 - [p1]Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap:
Machine Learning Techniques for AD/MCI Diagnosis and Prognosis. Machine Learning in Healthcare Informatics 2014: 147-179 - 2013
- [c46]Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen:
The Non-Local Bootstrap - Estimation of Uncertainty in Diffusion MRI. IPMI 2013: 390-401 - [c45]Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization. MICCAI (2) 2013: 27-34 - [c44]Jian Cheng, Rachid Deriche, Tianzi Jiang, Dinggang Shen, Pew-Thian Yap:
Non-negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation. CDMRI/MMBC@MICCAI 2013: 81-93 - [c43]Chong-Yaw Wee, Sen Yang, Pew-Thian Yap, Dinggang Shen:
Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification. MLMI 2013: 139-146 - [c42]Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen:
Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrap. CDMRI/MMBC@MICCAI 2013: 139-148 - [c41]Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen:
Low-Rank Total Variation for Image Super-Resolution. MICCAI (1) 2013: 155-162 - [c40]Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen:
Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion. MLMI 2013: 163-170 - [c39]Pei Zhang, Chong-Yaw Wee, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding. MICCAI (1) 2013: 292-299 - [c38]Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen:
A Generative Model for Resolution Enhancement of Diffusion MRI Data. MICCAI (3) 2013: 527-534 - [c37]Jian Cheng, Tianzi Jiang, Rachid Deriche, Dinggang Shen, Pew-Thian Yap:
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. MICCAI (1) 2013: 639-646 - [c36]Yaping Wang, Gang Li, Jingxin Nie, Pew-Thian Yap, Lei Guo, Dinggang Shen:
Consistent 4D brain extraction of serial brain MR images. Image Processing 2013: 86693I - [e2]Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin:
Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings. Lecture Notes in Computer Science 8159, Springer 2013, ISBN 978-3-319-02125-6 [contents] - [i1]Jian Cheng, Tianzi Jiang, Rachid Deriche, Dinggang Shen, Pew-Thian Yap:
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. CoRR abs/1307.0776 (2013) - 2012
- [j22]Hongjun Jia, Pew-Thian Yap, Dinggang Shen:
Iterative multi-atlas-based multi-image segmentation with tree-based registration. NeuroImage 59(1): 422-430 (2012) - [j21]Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen:
Identification of MCI individuals using structural and functional connectivity networks. NeuroImage 59(3): 2045-2056 (2012) - [j20]Feng Shi, Pew-Thian Yap, Wei Gao, Weili Lin, John H. Gilmore, Dinggang Shen:
Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks. NeuroImage 62(3): 1622-1633 (2012) - [j19]Manhua Liu, Pew-Thian Yap:
Invariant representation of orientation fields for fingerprint indexing. Pattern Recognit. 45(7): 2532-2542 (2012) - [j18]Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
A General Fast Registration Framework by Learning Deformation-Appearance Correlation. IEEE Trans. Image Process. 21(4): 1823-1833 (2012) - [j17]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data. IEEE Trans. Medical Imaging 31(11): 1993-2005 (2012) - [j16]Pew-Thian Yap, Dinggang Shen:
Spatial Transformation of DWI Data Using Non-Negative Sparse Representation. IEEE Trans. Medical Imaging 31(11): 2035-2049 (2012) - [c35]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. CVPR 2012: 925-931 - [c34]Pew-Thian Yap, Dinggang Shen:
Resolution Enhancement of Diffusion-Weighted Images by Local Fiber Profiling. MICCAI (3) 2012: 18-25 - [c33]Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen:
Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease. MLMI 2012: 27-35 - [c32]Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Group Sparsity Constrained Automatic Brain Label Propagation. MLMI 2012: 45-53 - [c31]Pei Zhang, Pew-Thian Yap, Dinggang Shen, Timothy F. Cootes:
Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models. MICCAI (3) 2012: 156-163 - [c30]Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images. MICCAI (2) 2012: 171-178 - [c29]Yaping Wang, Hongjun Jia, Pew-Thian Yap, Bo Cheng, Chong-Yaw Wee, Lei Guo, Dinggang Shen:
Groupwise Segmentation Improves Neuroimaging Classification Accuracy. MBIA 2012: 185-193 - [c28]Pew-Thian Yap, Dinggang Shen:
DWI Denoising Using Spatial, Angular, and Radiometric Filtering. MBIA 2012: 194-202 - [c27]Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen:
Constrained Sparse Functional Connectivity Networks for MCI Classification. MICCAI (2) 2012: 212-219 - [c26]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Non-local Means Resolution Enhancement of Lung 4D-CT Data. MICCAI (1) 2012: 214-222 - [c25]Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen:
Tree-Guided Sparse Coding for Brain Disease Classification. MICCAI (3) 2012: 239-247 - [c24]Pew-Thian Yap, Dinggang Shen:
Spatial Warping of DWI Data Using Sparse Representation. MICCAI (2) 2012: 331-338 - [e1]Pew-Thian Yap, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, Li Shen:
Multimodal Brain Image Analysis - Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings. Lecture Notes in Computer Science 7509, Springer 2012, ISBN 978-3-642-33529-7 [contents] - 2011
- [j15]Hongjun Jia, Pew-Thian Yap, Guorong Wu, Qian Wang, Dinggang Shen:
Intermediate templates guided groupwise registration of diffusion tensor images. NeuroImage 54(2): 928-939 (2011) - [j14]Chong-Yaw Wee, Pew-Thian Yap, Wenbin Li, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen:
Enriched white matter connectivity networks for accurate identification of MCI patients. NeuroImage 54(3): 1812-1822 (2011) - [j13]Pew-Thian Yap, Yasheng Chen, Hongyu An, Yang Yang, John H. Gilmore, Weili Lin, Dinggang Shen:
SPHERE: SPherical Harmonic Elastic REgistration of HARDI data. NeuroImage 55(2): 545-556 (2011) - [j12]Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
PopTract: Population-Based Tractography. IEEE Trans. Medical Imaging 30(10): 1829-1840 (2011) - [c23]Luping Zhou, Yaping Wang, Yang Li, Pew-Thian Yap, Dinggang Shen:
Hierarchical anatomical brain networks for MCI prediction by partial least square analysis. CVPR 2011: 1073-1080 - [c22]Yaping Wang, Paul Chastain, Pew-Thian Yap, Jie-Zhi Cheng, David Kaufman, Lei Guo, Dinggang Shen:
Automated DNA fiber tracking and measurement. ISBI 2011: 1349-1352 - [c21]Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Fiber Modeling and Clustering Based on Neuroanatomical Features. MICCAI (2) 2011: 17-24 - [c20]Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates. MICCAI (2) 2011: 66-73 - [c19]Li Wang, Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. MBIA 2011: 93-101 - [c18]Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations. MICCAI (2) 2011: 133-140 - [c17]Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Diffusion Tensor Image Registration with Combined Tract and Tensor Features. MICCAI (2) 2011: 200-208 - [c16]Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen:
Identification of Individuals with MCI via Multimodality Connectivity Networks. MICCAI (2) 2011: 277-284 - [c15]Yaping Wang, Jingxin Nie, Pew-Thian Yap, Feng Shi, Lei Guo, Dinggang Shen:
Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies. MICCAI (3) 2011: 635-642 - 2010
- [j11]Guorong Wu, Pew-Thian Yap, Minjeong Kim, Dinggang Shen:
TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation. NeuroImage 49(3): 2225-2233 (2010) - [j10]Qian Wang, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Attribute vector guided groupwise registration. NeuroImage 50(4): 1485-1496 (2010) - [j9]Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen:
Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation. NeuroImage 51(2): 684-693 (2010) - [j8]Pew-Thian Yap, Xudong Jiang, Alex ChiChung Kot:
Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation. IEEE Trans. Pattern Anal. Mach. Intell. 32(7): 1259-1270 (2010) - [j7]Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Human Brain Connectomics: Networks, Techniques, and Applications [Life Sciences]. IEEE Signal Process. Mag. 27(4): 131-134 (2010) - [j6]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
F-TIMER: Fast Tensor Image Morphing for Elastic Registration. IEEE Trans. Medical Imaging 29(5): 1192-1203 (2010) - [c14]Guorong Wu, Pew-Thian Yap, Qian Wang, Dinggang Shen:
Groupwise registration from exemplar to group mean: xtending HAMMER to groupwise registration. ISBI 2010: 396-399 - [c13]Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen:
Neonatal brain MRI segmentation by building multi-region-multireference atlases. ISBI 2010: 964-967 - [c12]Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images. MIAR 2010: 42-50 - [c11]Pew-Thian Yap, Yasheng Chen, Hongyu An, John H. Gilmore, Weili Lin, Dinggang Shen:
Hierachical Spherical Harmonics Based Deformable HARDI Registration. MIAR 2010: 228-236 - [c10]Qian Wang, Pew-Thian Yap, Hongjun Jia, Guorong Wu, Dinggang Shen:
Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features. MIAR 2010: 448-456 - [c9]Chong-Yaw Wee, Pew-Thian Yap, Jeffery N. Browndyke, Guy G. Potter, David C. Steffens, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen:
Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network. MLMI 2010: 140-147 - [c8]Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
A Generalized Learning Based Framework for Fast Brain Image Registration. MICCAI (2) 2010: 306-314
2000 – 2009
- 2009
- [j5]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
TIMER: Tensor Image Morphing for Elastic Registration. NeuroImage 47(2): 549-563 (2009) - [c7]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
TIMER: Tensor Image Morphing for Elastic Registration. CVPR Workshops 2009: 1-8 - [c6]Feng Shi, Pew-Thian Yap, Yong Fan, Jie-Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen:
Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. CVPR Workshops 2009: 39-45 - [c5]Songyuan Tang, Yong Fan, Hongtu Zhu, Pew-Thian Yap, Wei Gao, Weili Lin, Dinggang Shen:
Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. CVPR Workshops 2009: 52-57 - [c4]Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Attribute Vector Guided Groupwise Registration. MICCAI (1) 2009: 656-663 - [c3]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
Fast Tensor Image Morphing for Elastic Registration. MICCAI (1) 2009: 721-729 - 2008
- [c2]Pew-Thian Yap, Xudong Jiang, Alex ChiChung Kot:
Boosted complex moments for discriminant rotation invariant object recognition. ICPR 2008: 1-4 - 2007
- [j4]Pew-Thian Yap, Paramesran Raveendran, Seng-Huat Ong:
Image Analysis Using Hahn Moments. IEEE Trans. Pattern Anal. Mach. Intell. 29(11): 2057-2062 (2007) - [j3]Pew-Thian Yap, Paramesran Raveendran:
Eigenmoments. Pattern Recognit. 40(4): 1234-1244 (2007) - 2005
- [j2]Pew-Thian Yap, Paramesran Raveendran:
An Efficient Method for the Computation of Legendre Moments. IEEE Trans. Pattern Anal. Mach. Intell. 27(12): 1996-2002 (2005) - 2003
- [j1]Pew-Thian Yap, Paramesran Raveendran, Seng-Huat Ong:
Image analysis by Krawtchouk moments. IEEE Trans. Image Process. 12(11): 1367-1377 (2003) - 2002
- [c1]Pew-Thian Yap, P. Raveendran:
Image restoration of noisy images using Tchebichef moments. APCCAS (2) 2002: 525-528
Coauthor Index
[j108] [c143] [j99] [c134] [i27] [j92] [j88] [c131] [c130] [i19] [j78] [j77] [c123] [i14] [j65] [j61] [j60] [c110] [c108] [c106] [c105] [c104] [d7] [d6] [d5] [d4] [d3] [d2] [d1] [i11] [j55] [j54] [j53] [j51] [j50] [j45] [j44] [c99] [c92] [c90] [c89] [c86] [i7] [j42] [j34] [c79] [c67] [c58] [j20] [j13] [j12] [c20] [c19] [c18] [j9] [j6] [c13] [c12] [c11] [j5] [c7] [c6] [c5] [c3]
[j102] [j90] [j89] [j88] [j87] [j84] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [j76] [j74] [j73] [j72] [j71] [c119] [c115] [i17] [i14] [j70] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [d7] [d6] [d5] [d4] [d3] [d2] [d1] [i11] [i10] [i9] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [e9] [e8] [e7] [e6] [e5] [e4] [i8] [i7] [i6] [i5] [i4] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [c85] [c84] [c83] [c82] [c81] [c80] [i3] [j35] [j34] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [e3] [i2] [j33] [j32] [j31] [j30] [j29] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [j28] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [j27] [j26] [j25] [j24] [j23] [c49] [c48] [c47] [p1] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [e2] [i1] [j22] [j21] [j20] [j18] [j17] [j16] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [e1] [j15] [j14] [j13] [j12] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j11] [j10] [j9] [j7] [j6] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j5] [c7] [c6] [c5] [c4] [c3]
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-06-21 01:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
