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2020 – today
- 2020
[j47]Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu:
Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation. Neurocomputing 417: 114-127 (2020)- [j46]Guotai Wang
, Tao Song, Qiang Dong, Mei Cui, Ning Huang, Shaoting Zhang:
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks. Medical Image Anal. 65: 101787 (2020) - [j45]Guotai Wang, Xinglong Liu, Chaoping Li, Zhiyong Xu, Jiugen Ruan, Haifeng Zhu, Tao Meng, Kang Li, Ning Huang, Shaoting Zhang:
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images. IEEE Trans. Medical Imaging 39(8): 2653-2663 (2020) - [j44]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. IEEE Trans. Medical Imaging 39(11): 3655-3666 (2020) - [c113]Rui Huang, Yuanjie Zheng, Zhiqiang Hu, Shaoting Zhang, Hongsheng Li:
Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets. MICCAI (4) 2020: 146-155 - [c112]Zuhao Liu, Huan Wang, Shaoting Zhang, Guotai Wang, Jin Qi:
NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification. MICCAI (1) 2020: 263-272 - [c111]Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. MICCAI (4) 2020: 279-288 - [c110]Kexin Ding, Qiao Liu, Edward Lee, Mu Zhou, Aidong Lu, Shaoting Zhang:
Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer. MICCAI (2) 2020: 294-304 - [c109]Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo:
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation. MICCAI (1) 2020: 346-356 - [c108]Tao Song, Jieneng Chen, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang, Yinan Chen, Zhaoxiang Ye, Huaqiang Sheng, Shaoting Zhang, Guotai Wang:
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans. MICCAI (6) 2020: 550-559 - [i26]Qi Duan, Guotai Wang, Rui Wang, Chao Fu, Xinjun Li, Maoliang Gong, Xinglong Liu, Qing Xia, Xiaodi Huang, Zhiqiang Hu, Ning Huang, Shaoting Zhang:
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization. CoRR abs/2004.07031 (2020) - [i25]Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu:
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation. CoRR abs/2005.13366 (2020) - [i24]Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. CoRR abs/2007.00833 (2020) - [i23]Guotai Wang, Tao Song, Qiang Dong, Mei Cui, Ning Huang, Shaoting Zhang:
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks. CoRR abs/2007.03294 (2020) - [i22]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. CoRR abs/2007.05448 (2020) - [i21]Rui Huang, Yuanjie Zheng, Zhiqiang Hu, Shaoting Zhang, Hongsheng Li:
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets. CoRR abs/2008.07149 (2020) - [i20]Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang:
Semi-supervised Medical Image Segmentation through Dual-task Consistency. CoRR abs/2009.04448 (2020) - [i19]Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo:
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation. CoRR abs/2009.07501 (2020) - [i18]Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. CoRR abs/2009.10549 (2020) - [i17]Xu Chen, Xiangde Luo, Yitian Zhao, Shaoting Zhang, Guotai Wang, Yalin Zheng:
Learning Euler's Elastica Model for Medical Image Segmentation. CoRR abs/2011.00526 (2020) - [i16]Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang:
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma. CoRR abs/2012.07042 (2020) - [i15]Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Guotai Wang:
One-Shot Object Localization in Medical Images based on Relative Position Regression. CoRR abs/2012.07043 (2020) - [i14]Qi Chang, Zhennan Yan, Lohendran Baskaran, Hui Qu, Yikai Zhang, Tong Zhang, Shaoting Zhang, Dimitris N. Metaxas:
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information. CoRR abs/2012.08604 (2020) - [i13]Lu Wang, Dong Guo, Guotai Wang, Shaoting Zhang:
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning. CoRR abs/2012.14584 (2020)
2010 – 2019
- 2019
- [j43]Hao Yuan, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, Shuiwang Ji:
Computational modeling of cellular structures using conditional deep generative networks. Bioinform. 35(12): 2141-2149 (2019) - [j42]Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas:
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1947-1962 (2019) - [j41]Rahil Mehrizi, Xi Peng, Dimitris N. Metaxas, Xu Xu, Shaoting Zhang, Kang Li:
Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach. IEEE Trans. Hum. Mach. Syst. 49(1): 85-94 (2019) - [c107]Huan Wang, Guotai Wang, Zijian Liu, Shaoting Zhang:
Global and Local Multi-scale Feature Fusion Enhancement for Brain Tumor Segmentation and Pancreas Segmentation. BrainLes@MICCAI (1) 2019: 80-88 - [c106]Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji:
Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. ICDM 2019: 806-815 - [c105]Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin:
Residual Attention Based Network for Hand Bone Age Assessment. ISBI 2019: 1158-1161 - [c104]Willis Fulmer, Tahir Mahmood, Zhongyu Li, Shaoting Zhang, Jian Huang, Aidong Lu:
ImWeb: cross-platform immersive web browsing for online 3D neuron database exploration. IUI 2019: 367-378 - [c103]Wenhui Lei, Huan Wang, Ran Gu, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 61-69 - [c102]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Shaoting Zhang, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. MICCAI (2) 2019: 264-272 - [c101]Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas:
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation. MICCAI (2) 2019: 282-290 - [c100]Huan Wang, Guotai Wang, Ze Sheng, Shaoting Zhang:
Automated Segmentation of Skin Lesion Based on Pyramid Attention Network. MLMI@MICCAI 2019: 435-443 - [c99]Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang:
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. MICCAI (5) 2019: 521-529 - [c98]Huan Wang, Guotai Wang, Zhihan Xu, Wenhui Lei, Shaoting Zhang:
High- and Low-Level Feature Enhancement for Medical Image Segmentation. MLMI@MICCAI 2019: 611-619 - [i12]Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin:
Residual Attention based Network for Hand Bone Age Assessment. CoRR abs/1901.05876 (2019) - [i11]Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Kunlin Cao, Qi Song, Shaoting Zhang, Siwei Lyu, Youbing Yin:
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding. CoRR abs/1902.10053 (2019) - [i10]Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas:
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation. CoRR abs/1908.04469 (2019) - [i9]Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang:
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. CoRR abs/1910.07638 (2019) - 2018
- [j40]Xi Peng, Shaoting Zhang, Yang Yu, Dimitris N. Metaxas:
Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild. Int. J. Comput. Vis. 126(2-4): 184-197 (2018) - [j39]Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang:
Large-scale retrieval for medical image analytics: A comprehensive review. Medical Image Anal. 43: 66-84 (2018) - [j38]Zhongyu Li, Erik Butler, Kang Li, Aidong Lu, Shuiwang Ji, Shaoting Zhang:
Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality. Neuroinformatics 16(3-4): 339-349 (2018) - [c97]Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas:
Quantized Densely Connected U-Nets for Efficient Landmark Localization. ECCV (3) 2018: 348-364 - [c96]Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. IJCAI 2018: 942-948 - [c95]Zhongyu Li, Chaowei Fang, Shaoting Zhang:
Deep feature representation for the computational analytics of 3D neuronal morphology. ISBI 2018: 926-929 - [c94]Bin Kong, Shanhui Sun, Xin Wang, Qi Song, Shaoting Zhang:
Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning. MICCAI (2) 2018: 156-164 - [i8]Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. CoRR abs/1806.11191 (2018) - [i7]Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas:
Quantized Densely Connected U-Nets for Efficient Landmark Localization. CoRR abs/1808.02194 (2018) - 2017
- [j37]Yuanjie Zheng, Shaoting Zhang, Junzhou Huang, Weidong Cai:
Guest Editorial: Special issue on advances in computing techniques for big medical image data. Neurocomputing 229: 1-2 (2017) - [j36]Xiaodan Sui, Yuanjie Zheng, Benzheng Wei, Hongsheng Bi, Jianfeng Wu, Xuemei Pan, Yilong Yin, Shaoting Zhang:
Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks. Neurocomputing 237: 332-341 (2017) - [j35]Zhongyu Li, Ruogu Fang, Fumin Shen, Amin Katouzian, Shaoting Zhang:
Indexing and mining large-scale neuron databases using maximum inner product search. Pattern Recognit. 63: 680-688 (2017) - [j34]Jingjing Liu, Shaoting Zhang, Wei Liu, Cheng Deng, Yuanjie Zheng, Dimitris N. Metaxas:
Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2450-2460 (2017) - [j33]Yanhua Yang, Cheng Deng, Dapeng Tao, Shaoting Zhang, Wei Liu, Xinbo Gao:
Latent Max-Margin Multitask Learning With Skelets for 3-D Action Recognition. IEEE Trans. Cybern. 47(2): 439-448 (2017) - [c93]Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris N. Metaxas, Leon Axel:
Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration. IPMI 2017: 80-92 - [c92]Bin Kong, Xin Wang, Zhongyu Li, Qi Song, Shaoting Zhang:
Cancer Metastasis Detection via Spatially Structured Deep Network. IPMI 2017: 236-248 - [p2]Zhennan Yan, Yiqiang Zhan, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou:
Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition. Deep Learning for Medical Image Analysis 2017: 83-104 - [p1]Hai Su, Fuyong Xing, Xiangfei Kong, Yuanpu Xie, Shaoting Zhang, Lin Yang:
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 257-278 - [e3]Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7 [contents] - [i6]Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas:
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. CoRR abs/1710.10916 (2017) - [i5]Yan Zhu, Shaoting Zhang, Dimitris N. Metaxas:
Interactive Reinforcement Learning for Object Grounding via Self-Talking. CoRR abs/1712.00576 (2017) - 2016
- [j32]Chaowei Tan, Kang Li, Zhennan Yan, Dong Yang, Shaoting Zhang, Hui Jing Yu, Klaus Engelke, Colin Miller, Dimitris N. Metaxas:
A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification. Comput. Vis. Image Underst. 151: 80-89 (2016) - [j31]Shaoting Zhang, Dimitris N. Metaxas:
Large-Scale medical image analytics: Recent methodologies, applications and Future directions. Medical Image Anal. 33: 98-101 (2016) - [j30]Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas:
Scalable histopathological image analysis via supervised hashing with multiple features. Medical Image Anal. 34: 3-12 (2016) - [j29]Sailesh Conjeti, Sepideh Mesbah, Mohammadreza Negahdar, Philipp L. Rautenberg, Shaoting Zhang, Nassir Navab, Amin Katouzian:
Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases. Neuroinformatics 14(4): 369-385 (2016) - [j28]Xiang Yu, Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas:
Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2212-2226 (2016) - [j27]Xiaofan Zhang, Hang Dou, Tao Ju, Jun Xu, Shaoting Zhang:
Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis. IEEE J. Biomed. Health Informatics 20(5): 1377-1383 (2016) - [j26]Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou:
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition. IEEE Trans. Medical Imaging 35(5): 1332-1343 (2016) - [c91]Jingjing Liu, Shaoting Zhang, Shu Wang, Dimitris N. Metaxas:
Multispectral Deep Neural Networks for Pedestrian Detection. BMVC 2016 - [c90]Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang:
Embedding Label Structures for Fine-Grained Feature Representation. CVPR 2016: 1114-1123 - [c89]Han Zhang, Tao Xu, Mohamed Elhoseiny, Xiaolei Huang, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas:
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition. CVPR 2016: 1143-1152 - [c88]Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas:
Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method. IJCAI 2016: 1760-1766 - [c87]Xiang Yu, Zhe L. Lin, Shaoting Zhang, Dimitris N. Metaxas:
Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment. IJCAI 2016: 2711-2717 - [c86]Shu Wang, Shaoting Zhang, Wei Liu, Dimitris N. Metaxas:
Visual Tracking with Reliable Memories. IJCAI 2016: 3491-3497 - [c85]Zhongyu Li, Fumin Shen, Ruogu Fang, Sailesh Conjeti, Amin Katouzian, Shaoting Zhang:
Maximum inner product search for morphological retrieval of large-scale neuron data. ISBI 2016: 602-606 - [c84]Menglin Jiang, Shaoting Zhang, Yuanjie Zheng, Dimitris N. Metaxas:
Mammographic Mass Segmentation with Online Learned Shape and Appearance Priors. MICCAI (2) 2016: 35-43 - [c83]Tao Xu, Han Zhang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas:
Multimodal Deep Learning for Cervical Dysplasia Diagnosis. MICCAI (2) 2016: 115-123 - [c82]Bin Kong, Yiqiang Zhan, Min Shin, Thomas Denny, Shaoting Zhang:
Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network. MICCAI (3) 2016: 264-272 - [e2]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9601, Springer 2016, ISBN 978-3-319-42015-8 [contents] - [i4]Shu Wang, Shaoting Zhang, Wei Liu, Dimitris N. Metaxas:
Visual Tracking via Reliable Memories. CoRR abs/1602.01887 (2016) - [i3]Jingjing Liu, Shaoting Zhang, Shu Wang, Dimitris N. Metaxas:
Multispectral Deep Neural Networks for Pedestrian Detection. CoRR abs/1611.02644 (2016) - [i2]Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaolei Huang, Xiaogang Wang, Dimitris N. Metaxas:
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks. CoRR abs/1612.03242 (2016) - 2015
- [j25]Zhennan Yan, Shaoting Zhang, Chaowei Tan, Hongxing Qin, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, Dimitris N. Metaxas:
Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials. Comput. Medical Imaging Graph. 41: 80-92 (2015) - [j24]Ruogu Fang, Tsuhan Chen, Dimitris N. Metaxas, Pina C. Sanelli, Shaoting Zhang:
Sparsity techniques in medical imaging. Comput. Medical Imaging Graph. 46: 1 (2015) - [j23]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas:
From circle to 3-sphere: Head pose estimation by instance parameterization. Comput. Vis. Image Underst. 136: 92-102 (2015) - [j22]Yang Yu, Shaoting Zhang, Fei Yang, Dimitris N. Metaxas:
Multi-Pose and Occluded Facial Landmark Localization Via Sparse Shape Representation. Int. J. Artif. Intell. Tools 24(4): 1540019:1-1540019:15 (2015) - [j21]Guotai Wang, Shaoting Zhang, Hongzhi Xie, Dimitris N. Metaxas, Lixu Gu:
A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning. Medical Image Anal. 19(1): 176-186 (2015) - [j20]Xiaofan Zhang, Fuyong Xing, Hai Su, Lin Yang, Shaoting Zhang:
High-throughput histopathological image analysis via robust cell segmentation and hashing. Medical Image Anal. 26(1): 306-315 (2015) - [j19]Shaoting Zhang, Ming Yang, Timothée Cour, Kai Yu, Dimitris N. Metaxas:
Query Specific Rank Fusion for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 803-815 (2015) - [j18]Menglin Jiang, Shaoting Zhang, Hongsheng Li, Dimitris N. Metaxas:
Computer-Aided Diagnosis of Mammographic Masses Using Scalable Image Retrieval. IEEE Trans. Biomed. Eng. 62(2): 783-792 (2015) - [j17]Xiang Yu, Shaoting Zhang, Zhennan Yan, Fei Yang, Junzhou Huang, Norah E. Dunbar, Matthew L. Jensen, Judee K. Burgoon, Dimitris N. Metaxas:
Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues. IEEE Trans. Cybern. 45(3): 506-520 (2015) - [j16]Xiaofan Zhang, Wei Liu, Murat Dundar, Sunil Badve, Shaoting Zhang:
Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval. IEEE Trans. Medical Imaging 34(2): 496-506 (2015) - [j15]Ruogu Fang, Shaoting Zhang, Tsuhan Chen, Pina C. Sanelli:
Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization. IEEE Trans. Medical Imaging 34(7): 1533-1548 (2015) - [c81]Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang:
Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval. CVPR 2015: 5361-5368 - [c80]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas:
Three-dimensional head pose estimation in-the-wild. FG 2015: 1-6 - [c79]Xi Peng, Shaoting Zhang, Yu Yang, Dimitris N. Metaxas:
PIEFA: Personalized Incremental and Ensemble Face Alignment. ICCV 2015: 3880-3888 - [c78]Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, Heng Tao Shen:
Learning Binary Codes for Maximum Inner Product Search. ICCV 2015: 4148-4156 - [c77]Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang:
Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images. IPMI 2015: 303-314 - [c76]Dong Yang, Shaoting Zhang, Zhennan Yan, Chaowei Tan, Kang Li, Dimitris N. Metaxas:
Automated anatomical landmark detection ondistal femur surface using convolutional neural network. ISBI 2015: 17-21 - [c75]Menglin Jiang, Shaoting Zhang, Ruogu Fang, Dimitris N. Metaxas:
Leveraging coupled multi-index for scalable retrieval of mammographic masses. ISBI 2015: 276-280 - [c74]Xiaofan Zhang, Hang Dou, Tao Ju, Shaoting Zhang:
Fusing heterogeneous features for the image-guided diagnosis of intraductal breast lesions. ISBI 2015: 1288-1291 - [c73]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Weidong Cai, Dimitris N. Metaxas:
Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015). MCV@MICCAI 2015: 3-9 - [c72]Chaowei Tan, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation. Patch-MI@MICCAI 2015: 95-103 - [c71]Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas:
Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis. MICCAI (3) 2015: 366-373 - [c70]Hai Su, Fuyong Xing, Xiangfei Kong, Yuanpu Xie, Shaoting Zhang, Lin Yang:
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. MICCAI (3) 2015: 383-390 - [c69]Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang:
Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction. MICCAI (2) 2015: 700-707 - [c68]Andrew Brinker, Annika Fredrikson, Xiaofan Zhang, Richard Sourvenir, Shaoting Zhang:
Toward consistent cell segmentation: quality assessment of cell segments via appearance and geometry features. Medical Imaging: Digital Pathology 2015: 94200O - [i1]Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang:
Embedding Label Structures for Fine-Grained Feature Representation. CoRR abs/1512.02895 (2015) - 2014
- [j14]Jingjing Liu, Bo Liu, Shaoting Zhang, Fei Yang, Peng Yang, Dimitris N. Metaxas, Carol Neidle:
Non-manual grammatical marker recognition based on multi-scale, spatio-temporal analysis of head pose and facial expressions. Image Vis. Comput. 32(10): 671-681 (2014) - [j13]Hongxing Qin, XiaoYang Hong, Bin Xiao, Shaoting Zhang, Guo-Yin Wang:
Blue noise sampling method based on mixture distance. J. Electronic Imaging 23(6): 063015 (2014) - [j12]Yang Yu, Shaoting Zhang, Kang Li, Dimitris N. Metaxas, Leon Axel:
Deformable models with sparsity constraints for cardiac motion analysis. Medical Image Anal. 18(6): 927-937 (2014) - [j11]Hongsheng Li, Xiaolei Huang, Junzhou Huang, Shaoting Zhang:
Feature Matching with Affine-Function Transformation Models. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2407-2422 (2014) - [j10]