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2020 – today
- 2023
[i53]Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li:
Diffusion Model for Generative Image Denoising. CoRR abs/2302.02398 (2023)- [i52]Gary Y. Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li:
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images. CoRR abs/2302.03861 (2023) - [i51]Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li:
ChatAug: Leveraging ChatGPT for Text Data Augmentation. CoRR abs/2302.13007 (2023) - [i50]Rui Hu, Yunmei Chen, Kyung Sang Kim, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Quanzheng Li, Huafeng Liu:
DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction. CoRR abs/2303.04661 (2023) - [i49]Jiang Hu, Kangkang Deng, Na Li, Quanzheng Li:
Decentralized Riemannian natural gradient methods with Kronecker-product approximations. CoRR abs/2303.09611 (2023) - [i48]Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, Xiang Li:
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4. CoRR abs/2303.11032 (2023) - [i47]Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li:
Unsupervised Image Denoising with Score Function. CoRR abs/2304.08384 (2023) - [i46]Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu:
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. CoRR abs/2304.09138 (2023) - [i45]Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun:
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR abs/2305.17100 (2023) - 2022
- [j37]Jianan Cui, Kuang Gong, Ning Guo, Kyung Sang Kim, Huafeng Liu, Quanzheng Li:
Unsupervised PET logan parametric image estimation using conditional deep image prior. Medical Image Anal. 80: 102519 (2022) - [j36]Nuobei Xie
, Kuang Gong, Ning Guo, ZhiXing Qin, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Penalized-Likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding. IEEE Trans. Biomed. Eng. 69(1): 4-14 (2022) - [j35]Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li:
Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior. IEEE Trans. Medical Imaging 41(3): 680-689 (2022) - [c66]Mo Zhang, Bin Dong, Quanzheng Li:
Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis. ISBI 2022: 1-5 - [c65]Mo Zhang, Bin Dong, Quanzheng Li:
Joint Attention for Medical Image Segmentation. ISBI 2022: 1-5 - [c64]Jerome Charton, Hui Ren, Jay Khambhati, Jeena DeFrancesco, Justin Cheng, Anam A. Waheed, Sylwia Marciniak, Filipe Moura, Rhanderson Cardoso, Bruno B. Lima, Erik Steen, Eigil Samset, Michael H. Picard, Xiang Li, Quanzheng Li:
View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging. ASMUS@MICCAI 2022: 64-71 - [c63]Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li:
A Noise-Level-Aware Framework for PET Image Denoising. MLMIR@MICCAI 2022: 75-83 - [c62]Jianan Cui, Yutong Xie, Anand A. Joshi, Kuang Gong, Kyung Sang Kim, Young-Don Son, Jong Hoon Kim, Richard M. Leahy, Huafeng Liu, Quanzheng Li:
PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss. MICCAI (4) 2022: 173-183 - [c61]Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li:
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. MLMI@MICCAI 2022: 269-278 - [c60]Yutong Xie, Quanzheng Li:
Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. MICCAI (6) 2022: 655-664 - [c59]Pengcheng Xu, Kyung Sang Kim, Huafeng Liu, Quanzheng Li:
Attention-Fused CNN Model Compression with Knowledge Distillation for Brain Tumor Segmentation. MIUA 2022: 328-338 - [e3]Xiang Li, Jinglei Lv, Yuankai Huo, Bin Dong, Richard M. Leahy, Quanzheng Li:
Multiscale Multimodal Medical Imaging - Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13594, Springer 2022, ISBN 978-3-031-18813-8 [contents] - [i44]Jin-Hyun Ahn, Kyung Sang Kim, Jeongwan Koh, Quanzheng Li:
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning. CoRR abs/2202.00195 (2022) - [i43]Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li:
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. CoRR abs/2202.03674 (2022) - [i42]Yutong Xie, Quanzheng Li:
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction. CoRR abs/2203.03623 (2022) - [i41]Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li:
A Noise-level-aware Framework for PET Image Denoising. CoRR abs/2203.08034 (2022) - [i40]Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong:
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising. CoRR abs/2209.03300 (2022) - [i39]Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li:
FedDAR: Federated Domain-Aware Representation Learning. CoRR abs/2209.04007 (2022) - [i38]Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan:
PET image denoising based on denoising diffusion probabilistic models. CoRR abs/2209.06167 (2022) - [i37]Homgmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li:
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. CoRR abs/2211.02849 (2022) - [i36]Arman Rahmim, Tyler J. Bradshaw, Irène Buvat, Joyita Dutta, Abhinav K. Jha, Paul E. Kinahan, Quanzheng Li, Chi Liu, Melissa D. McCradden, Babak Saboury, Eliot L. Siegel, John J. Sunderland, Richard L. Wahl:
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022). CoRR abs/2211.03783 (2022) - [i35]Ye Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li:
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation. CoRR abs/2212.10724 (2022) - 2021
- [j34]Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li:
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. Medical Image Anal. 70: 101993 (2021) - [j33]Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network. NeuroImage 240: 118380 (2021) - [j32]Mengjia Xu, David López-Sanz, Pilar Garcés, Fernando Maestú, Quanzheng Li, Dimitrios Pantazis:
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks. IEEE Trans. Biomed. Eng. 68(5): 1579-1588 (2021) - [j31]Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li:
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. IEEE J. Biomed. Health Informatics 25(9): 3541-3553 (2021) - [e2]Tanveer F. Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard M. Leahy, Bin Dong, Hongzhi Wang:
Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13050, Springer 2021, ISBN 978-3-030-89846-5 [contents] - [i34]Varun Buch, Aoxiao Zhong, Xiang Li, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Dufan Wu, Hui Ren, Jiahui Guan, Andrew Liteplo, Sayon Dutta, Ittai Dayan, Quanzheng Li:
Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection. CoRR abs/2103.11269 (2021) - [i33]Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li:
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. CoRR abs/2104.03768 (2021) - [i32]Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li:
Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior. CoRR abs/2106.10359 (2021) - 2020
- [j30]Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh:
Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study. IEEE Access 8: 36728-36740 (2020) - [j29]Mengjia Xu, Zhijiang Wang, Haifeng Zhang, Dimitrios Pantazis, Huali Wang, Quanzheng Li:
A new Graph Gaussian embedding method for analyzing the effects of cognitive training. PLoS Comput. Biol. 16(9) (2020) - [j28]Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. 12(3): 451-460 (2020) - [j27]Jun Ying, Joyita Dutta, Ning Guo, Chenhui Hu, Dan Zhou, Arkadiusz Sitek, Quanzheng Li:
Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks. IEEE J. Biomed. Health Informatics 24(6): 1805-1813 (2020) - [j26]Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li:
Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease. IEEE J. Biomed. Health Informatics 24(11): 3095-3102 (2020) - [j25]Dufan Wu, Kuang Gong, Chiara Daniela Arru, Fatemeh Homayounieh, Bernardo Bizzo, Varun Buch, Hui Ren, Kyung Sang Kim, Nir Neumark, Pengcheng Xu, Zhiyuan Liu, Wei Fang, Nuobei Xie, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Alessandro Carriero, Luca Saba, Mahsa Masjedi, Hamidreza Talari, Rosa Babaei, Hadi Karimi Mobin, Shadi Ebrahimian, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li:
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. IEEE J. Biomed. Health Informatics 24(12): 3529-3538 (2020) - [c58]Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li:
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. IEEE BigData 2020: 4257-4263 - [c57]Wei Qiu, Yangsibo Huang, Quanzheng Li:
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks. IEEE BigData 2020: 4715-4723 - [c56]Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li:
ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. ISBI 2020: 144-148 - [c55]Hexin Dong, Fei Yu, Han Jiang, Hua Zhang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images. ISBI 2020: 354-358 - [c54]Dufan Wu, Kyung Sang Kim, Quanzheng Li:
Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth Resolution. ISBI 2020: 656-659 - [c53]Kyung Sang Kim, Inki Hong, Young-Don Son, Jong Hoon Kim, Quanzheng Li:
Residual Simplified Reference Tissue Model with Covariance Estimation. ISBI 2020: 777-780 - [c52]Fei Yu, Hexin Dong, Mo Zhang, Jie Zhao, Bin Dong, Quanzheng Li, Li Zhang:
AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network. ISBI 2020: 1503-1507 - [c51]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li:
A Novel fMRI Representation Learning Framework with GAN. MLMI@MICCAI 2020: 21-29 - [c50]Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li:
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network. MLMI@MICCAI 2020: 50-59 - [c49]Mo Zhang, Bin Dong, Quanzheng Li:
Deep Active Contour Network for Medical Image Segmentation. MICCAI (4) 2020: 321-331 - [c48]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li:
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) 2020: 498-507 - [c47]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li:
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. MICCAI (7) 2020: 508-517 - [c46]Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li:
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. MICCAI (5) 2020: 775-785 - [c45]Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network. MICCAI (7) 2020: 793-802 - [e1]Quanzheng Li, Richard M. Leahy, Bin Dong, Xiang Li:
Multiscale Multimodal Medical Imaging - First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11977, Springer 2020, ISBN 978-3-030-37968-1 [contents] - [i31]Mengjia Xu, David López-Sanz, Pilar Garcés, Fernando Maestú, Quanzheng Li, Dimitrios Pantazis:
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks. CoRR abs/2005.05784 (2020) - [i30]Dufan Wu, Hui Ren, Quanzheng Li:
Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks. CoRR abs/2005.09766 (2020) - [i29]Ziheng Duan, Daniel Montes, Yangsibo Huang, Dufan Wu, Javier M. Romero, Ramon Gilberto Gonzalez, Quanzheng Li:
Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography. CoRR abs/2005.11098 (2020) - [i28]Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network. CoRR abs/2009.05901 (2020) - [i27]Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li:
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network. CoRR abs/2009.06129 (2020) - [i26]Young-Gon Kim, Kyung Sang Kim, Dufan Wu, Hui Ren, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Mannudeep K. Kalra, Quanzheng Li:
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis. CoRR abs/2009.12610 (2020) - [i25]Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li:
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19. CoRR abs/2012.03663 (2020) - [i24]Yutong Xie, Gaoxiang Chen, Quanzheng Li:
A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions. CoRR abs/2012.04428 (2020) - [i23]Wei Qiu, Yangsibo Huang, Quanzheng Li:
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks. CoRR abs/2012.12581 (2020) - [i22]Mo Zhang, Quanzheng Li:
MS-GWNN: multi-scale graph wavelet neural network for breast cancer diagnosis. CoRR abs/2012.14619 (2020)
2010 – 2019
- 2019
- [j24]Xiang Li, Ning Guo, Quanzheng Li:
Functional Neuroimaging in the New Era of Big Data. Genom. Proteom. Bioinform. 17(4): 393-401 (2019) - [j23]Ronghui Ju, Chenhui Hu, Pan Zhou, Quanzheng Li:
Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 244-257 (2019) - [j22]Tzu-An Song, Fan Yang, Samadrita Roy Chowdhury, Kyung Sang Kim, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Joyita Dutta:
PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior. IEEE Trans. Computational Imaging 5(4): 530-539 (2019) - [j21]Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38(2): 550-560 (2019) - [j20]Kuang Gong, Jiahui Guan, Kyung Sang Kim, Xuezhu Zhang, Jaewon Yang, Youngho Seo, Georges El Fakhri, Jinyi Qi, Quanzheng Li:
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. IEEE Trans. Medical Imaging 38(3): 675-685 (2019) - [j19]Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li:
PET Image Reconstruction Using Deep Image Prior. IEEE Trans. Medical Imaging 38(7): 1655-1665 (2019) - [c44]Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li:
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. IEEE BigData 2019: 5359-5363 - [c43]Tzu-An Song, Samadrita Roy Chowdhury, Fan Yang, Heidi I. L. Jacobs, Georges El Fakhri, Quanzheng Li, Keith A. Johnson, Joyita Dutta:
Graph Convolutional Neural Networks For Alzheimer's Disease Classification. ISBI 2019: 414-417 - [c42]Han Bao, Hui Ren, Zhiling Zhou, Xiang Li, Ning Guo, Quanzheng Li:
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification. ISBI 2019: 789-792 - [c41]Xuandong Zhao, Xiang Li, Ning Guo, Zhiling Zhou, Xiaxia Meng, Quanzheng Li:
Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks. ISBI 2019: 837-840 - [c40]Zhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li, Quanzheng Li:
Novel Radiomic Features Based on Graph Theory for PET Image Analysis. ISBI 2019: 1311-1314 - [c39]Jie Zhao, Quanzheng Li, Xiang Li, Hongfeng Li, Li Zhang:
Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble Model. ISBI 2019: 1514-1518 - [c38]Zhe Guo, Ning Guo, Kuang Gong, Quanzheng Li:
Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-Net. Medical Imaging: Computer-Aided Diagnosis 2019: 1095009 - [c37]Hongfeng Li, Jian Zhao, Li Zhang, Jie Zhao, Li Yang, Quanzheng Li:
Feature Pyramid Based Attention for Cervical Image Classification. MMMI@MICCAI 2019: 35-42 - [c36]Meng Li, Jie Zhao, Yan Zhang, Danmei He, Jinqiong Zhou, Jia Jia, Haicheng She, Quanzheng Li, Li Zhang:
Automated Classification of Arterioles and Venules for Retina Fundus Images Using Dual Deeply-Supervised Network. MMMI@MICCAI 2019: 59-67 - [c35]Yini Pan, Hongfeng Li, Lili Liu, Quanzheng Li, Xinlin Hou, Bin Dong:
aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection. MMMI@MICCAI 2019: 76-84 - [c34]Danlei Feng, Weichen Wu, Hongfeng Li, Quanzheng Li:
Speckle Noise Removal in Ultrasound Images Using a Deep Convolutional Neural Network and a Specially Designed Loss Function. MMMI@MICCAI 2019: 85-92 - [c33]Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. MICCAI (2) 2019: 714-722 - [c32]Dufan Wu, Kuang Gong, Kyung Sang Kim, Xiang Li, Quanzheng Li:
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. MICCAI (4) 2019: 741-749 - [i21]Dufan Wu, Kuang Gong, Kyung Sang Kim, Quanzheng Li:
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. CoRR abs/1906.03639 (2019) - [i20]Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li:
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. CoRR abs/1907.03241 (2019) - [i19]Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. CoRR abs/1907.11483 (2019) - [i18]Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li:
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. CoRR abs/1910.00185 (2019) - [i17]Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li:
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. CoRR abs/1910.02672 (2019) - [i16]Nuobei Xie, Kuang Gong, Ning Guo, ZhiXin Qin, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding. CoRR abs/1912.07180 (2019) - 2018
- [j18]Dimitrios Pantazis, Mingtong Fang, Sheng Qin, Yalda Mohsenzadeh, Quanzheng Li, Radoslaw Martin Cichy:
Decoding the orientation of contrast edges from MEG evoked and induced responses. NeuroImage 180(Part): 267-279 (2018) - [j17]Xiaoqian Wang, Xiantong Zhen, Quanzheng Li, Dinggang Shen, Heng Huang:
Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression. Neuroinformatics 16(3-4): 285-294 (2018) - [j16]Kyung Sang Kim, Dufan Wu, Kuang Gong, Joyita Dutta, Jong Hoon Kim, Young-Don Son, Hang-Keun Kim, Georges El Fakhri, Quanzheng Li:
Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting. IEEE Trans. Medical Imaging 37(6): 1478-1487 (2018) - [c31]Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong:
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICLR (Workshop) 2018 - [c30]Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong:
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICML 2018: 3282-3291 - [c29]Zhe Guo, Xiang Li, Heng Huang, Ning Quo, Quanzheng Li:
Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes. ISBI 2018: 903-907 - [c28]Dufan Wu, Kyung Sang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li:
End-to-End Lung Nodule Detection in Computed Tomography. MLMI@MICCAI 2018: 37-45 - [c27]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). MICCAI (3) 2018: 181-189 - [c26]Jiasha Liu, Xiang Li, Hui Ren, Quanzheng Li:
Multi-estimator Full Left Ventricle Quantification Through Ensemble Learning. STACOM@MICCAI 2018: 459-465