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2020 – today
- 2022
[j58]Xiangde Luo
, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching. Medical Image Anal. 75: 102287 (2022)- [j57]Qingbo Kang, Qicheng Lao, Yiyue Li, Zekun Jiang, Yue Qiu, Shaoting Zhang, Kang Li:
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning. Medical Image Anal. 79: 102443 (2022) - [j56]Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou, Shaoting Zhang:
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention. IEEE Trans. Medical Imaging 41(3): 531-542 (2022) - [c125]Jianghao Wu, Ran Gu, Guiming Dong, Guotai Wang, Shaoting Zhang:
FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation. ISBI 2022: 1-5 - [i45]Zhuowei Li, Zihao Liu, Zhiqiang Hu, Qing Xia, Ruiqin Xiong, Shaoting Zhang, Dimitris N. Metaxas, Tingting Jiang:
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation. CoRR abs/2201.08779 (2022) - [i44]Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitris N. Metaxas:
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications. CoRR abs/2202.08916 (2022) - [i43]Xiangde Luo, Minhao Hu, Wenjun Liao, Shuwei Zhai, Tao Song, Guotai Wang, Shaoting Zhang:
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision. CoRR abs/2203.02106 (2022) - [i42]Ran Gu, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Xiaofan Zhang, Guotai Wang, Shaoting Zhang:
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation. CoRR abs/2205.06551 (2022) - [i41]Hao Fu, Guotai Wang, Wenhui Lei, Wei Xu, Qianfei Zhao, Shichuan Zhang, Kang Li, Shaoting Zhang:
HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy. CoRR abs/2206.02959 (2022) - [i40]Zhuowei Li, Yibo Gao, Zhenzhou Zha, Zhiqiang Hu, Qing Xia, Shaoting Zhang, Dimitris N. Metaxas:
Towards Self-supervised and Weight-preserving Neural Architecture Search. CoRR abs/2206.04125 (2022) - 2021
- [j55]Shaoting Zhang, Fangying Chen, Xiaolu Ma, Minjie Wang, Guanyu Yu, Fu Shen, Xianhua Gao, Jianping Lu:
MRI-based nomogram analysis: recognition of anterior peritoneal reflection and its relationship to rectal cancers. BMC Medical Imaging 21(1): 50 (2021) - [j54]Hongsheng Li, Shaoting Zhang, Dimitris N. Metaxas:
Guest editorial: Deep learning for medical image analysis. Neurocomputing 438: 209-210 (2021) - [j53]Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss. Neurocomputing 442: 184-199 (2021) - [j52]Yang Qu, Xiaomin Li, Zhennan Yan, Liang Zhao, Lichi Zhang, Chang Liu, Shuaining Xie, Kang Li, Dimitris N. Metaxas, Wen Wu, Yongqiang Hao, Kerong Dai, Shaoting Zhang, Xiaofeng Tao, Songtao Ai:
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning. Medical Image Anal. 69: 101954 (2021) - [j51]Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. Medical Image Anal. 72: 102102 (2021) - [j50]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. IEEE Trans. Medical Imaging 40(2): 699-711 (2021) - [j49]Wenji Wang, Qing Xia, Zhiqiang Hu, Zhennan Yan, Zhuowei Li, Yang Wu, Ning Huang, Yue Gao, Dimitris N. Metaxas, Shaoting Zhang:
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation. IEEE Trans. Medical Imaging 40(10): 2629-2641 (2021) - [j48]Lu Wang, Dong Guo, Guotai Wang, Shaoting Zhang:
Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning. IEEE Trans. Medical Imaging 40(10): 2795-2807 (2021) - [c124]Yibo Gao, Huan Wang, Xinglong Liu, Ning Huang, Guotai Wang, Shaoting Zhang:
A Denoising Self-supervised Approach for COVID-19 Pneumonia Lesion Segmentation with Limited Annotated CT Images. EMBC 2021: 3705-3708 - [c123]Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang:
Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction. IJCAI 2021: 3677-3683 - [c122]Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Shichuan Zhang, Guotai Wang:
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images. MICCAI (2) 2021: 155-165 - [c121]Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang:
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. MICCAI (3) 2021: 241-250 - [c120]Minhao Hu, Tao Song, Yujun Gu, Xiangde Luo, Jieneng Chen, Yinan Chen, Ya Zhang, Shaoting Zhang:
Fully Test-Time Adaptation for Image Segmentation. MICCAI (3) 2021: 251-260 - [c119]Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang:
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. MICCAI (5) 2021: 302-312 - [c118]Jiahui Li, Wen Chen, Xiaodi Huang, Shuang Yang, Zhiqiang Hu, Qi Duan, Dimitris N. Metaxas, Hongsheng Li, Shaoting Zhang:
Hybrid Supervision Learning for Pathology Whole Slide Image Classification. MICCAI (8) 2021: 309-318 - [c117]Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Nianyong Chen, Guotai Wang, Shaoting Zhang:
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency. MICCAI (2) 2021: 318-329 - [c116]Yuanfeng Ji, Ruimao Zhang, Huijie Wang, Zhen Li, Lingyun Wu, Shaoting Zhang, Ping Luo:
Multi-compound Transformer for Accurate Biomedical Image Segmentation. MICCAI (1) 2021: 326-336 - [c115]Zhuowei Li, Qing Xia, Zhiqiang Hu, Wenji Wang, Lijian Xu, Shaoting Zhang:
A Deep Reinforced Tree-Traversal Agent for Coronary Artery Centerline Extraction. MICCAI (5) 2021: 418-428 - [i39]Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss. CoRR abs/2102.01897 (2021) - [i38]Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching. CoRR abs/2104.05215 (2021) - [i37]Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning. CoRR abs/2104.12166 (2021) - [i36]Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang:
Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction. CoRR abs/2105.06709 (2021) - [i35]Jinxi Xiang, Zhuowei Li, Wenji Wang, Qing Xia, Shaoting Zhang:
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation. CoRR abs/2105.12924 (2021) - [i34]Yuanfeng Ji, Ruimao Zhang, Huijie Wang, Zhen Li, Lingyun Wu, Shaoting Zhang, Ping Luo:
Multi-Compound Transformer for Accurate Biomedical Image Segmentation. CoRR abs/2106.14385 (2021) - [i33]Jiahui Li, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Dimitris N. Metaxas, Shaoting Zhang:
Mixed Supervision Learning for Whole Slide Image Classification. CoRR abs/2107.00934 (2021) - [i32]Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang:
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. CoRR abs/2107.03609 (2021) - [i31]Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang:
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. CoRR abs/2109.08852 (2021) - [i30]Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou, Shaoting Zhang:
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention. CoRR abs/2109.14172 (2021) - [i29]Xiangde Luo, Wenjun Liao, Jianghong Xiao, Tao Song, Xiaofan Zhang, Kang Li, Guotai Wang, Shaoting Zhang:
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region. CoRR abs/2111.02403 (2021) - [i28]Wenhui Lei, Qi Su, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang:
One-shot Weakly-Supervised Segmentation in Medical Images. CoRR abs/2111.10773 (2021) - [i27]Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang:
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer. CoRR abs/2112.04894 (2021) - 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) - [c114]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 - [c113]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 - [c112]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 - [c111]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 - [c110]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 - [c109]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) - [c108]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 - [c107]Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji:
Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. ICDM 2019: 806-815 - [c106]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 - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [c101]Huan Wang, Guotai Wang, Ze Sheng, Shaoting Zhang:
Automated Segmentation of Skin Lesion Based on Pyramid Attention Network. MLMI@MICCAI 2019: 435-443 - [c100]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 - [c99]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) - [c98]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 - [c97]Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. IJCAI 2018: 942-948 - [c96]Zhongyu Li, Chaowei Fang, Shaoting Zhang:
Deep feature representation for the computational analytics of 3D neuronal morphology. ISBI 2018: 926-929 - [c95]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) - [c94]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 - [c93]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]