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2020 – today
- 2024
[j11]Wenji Wang
, Qing Xia, Zhennan Yan, Zhiqiang Hu, Yinan Chen, Wen Zheng, Xiao Wang, Shaoping Nie, Dimitris N. Metaxas, Shaoting Zhang:
AVDNet: Joint coronary artery and vein segmentation with topological consistency. Medical Image Anal. 91: 102999 (2024)- 2023
- [j10]Yiwei Wang, Wenjun Xia, Zhennan Yan, Liang Zhao, Xiaohe Bian, Chang Liu, Zhengnan Qi, Shaoting Zhang, Zisheng Tang:
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning. Medical Image Anal. 85: 102750 (2023) - 2022
- [c30]Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas:
Modality Bank: Learn multi-modality images across data centers without sharing medical data. EMBC 2022: 4758-4763 - [c29]Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas:
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. MICCAI (5) 2022: 485-495 - [c28]Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method. MICCAI (4) 2022: 567-577 - [i9]Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas:
Modality Bank: Learn multi-modality images across data centers without sharing medical data. CoRR abs/2201.08955 (2022) - [i8]Di Liu, Yunhe Gao, Qilong Zhangli, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas:
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. CoRR abs/2203.10726 (2022) - [i7]Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method. CoRR abs/2206.07163 (2022) - 2021
- [j9]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) - [j8]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) - [c27]Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas:
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. CVPR 2021: 7261-7271 - [c26]Qi Chang, Zhennan Yan, Meng Ye, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging. STACOM@MICCAI 2021: 141-150 - [c25]Di Liu, Zhennan Yan, Qi Chang, Leon Axel, Dimitris N. Metaxas:
Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation. STACOM@MICCAI 2021: 315-322 - [i6]Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas:
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. CoRR abs/2103.02772 (2021) - 2020
- [j7]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) - [c24]Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas:
Learn Distributed GAN with Temporary Discriminators. ECCV (27) 2020: 175-192 - [c23]Qi Chang, Zhennan Yan, Yixuan Lou, Leon Axel, Dimitris N. Metaxas:
Soft-Label Guided Semi-Supervised Learning for Bi-Ventricle Segmentation in Cardiac Cine MRI. ISBI 2020: 1752-1755 - [c22]Zhuowei Li, Qing Xia, Wenji Wang, Zhennan Yan, Ruohan Yin, Changjie Pan, Dimitris N. Metaxas:
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation. MLMI@MICCAI 2020: 130-138 - [i5]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) - [i4]Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas:
Learn distributed GAN with Temporary Discriminators. CoRR abs/2007.09221 (2020) - [i3]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)
2010 – 2019
- 2019
- [c21]Zhongyu Li, Yixuan Lou, Zhennan Yan, Subhi Al'Aref, James K. Min, Leon Axel, Dimitris N. Metaxas:
Fully Automatic Segmentation Of Short-Axis Cardiac MRI Using Modified Deep Layer Aggregation. ISBI 2019: 793-797 - [c20]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 - [c19]Hui Qu, Zhennan Yan, Gregory M. Riedlinger, Subhajyoti De, Dimitris N. Metaxas:
Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss. MICCAI (1) 2019: 378-386 - [i2]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) - 2018
- [c18]Chaowei Tan, Liang Zhao, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Yiqiang Zhan:
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation. ISBI 2018: 1221-1224 - [c17]Yiyuan Zhao, Liang Zhao, Zhennan Yan, Matthias Wolf, Yiqiang Zhan:
A deep-learning based automatic pulmonary nodule detection system. Medical Imaging: Computer-Aided Diagnosis 2018: 1057537 - [c16]Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan:
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks. MICCAI (1) 2018: 286-294 - [c15]Xiuyan Ni, Zhennan Yan, Tingting Wu, Jin Fan, Chao Chen:
A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing. MICCAI (3) 2018: 302-310 - 2017
- [j6]Chaowei Tan, Kang Li, Zhennan Yan, Jingru Yi, Pengxiang Wu, Hui Jing Yu, Klaus Engelke, Dimitris N. Metaxas:
Towards large-scale MR thigh image analysis via an integrated quantification framework. Neurocomputing 229: 63-76 (2017) - [p1]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 - [i1]Zhennan Yan, Xiang Sean Zhou:
How intelligent are convolutional neural networks? CoRR abs/1709.06126 (2017) - 2016
- [j5]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) - [j4]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) - 2015
- [j3]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) - [j2]Jinghao Zhou, Zhennan Yan, Giovanni Lasio, Junzhou Huang, Baoshe Zhang, Navesh Sharma, Karl Prado, Warren D. D'Souza:
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT. Comput. Medical Imaging Graph. 46: 47-55 (2015) - [j1]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) - [c14]Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Dimitris N. Metaxas, Xiang Sean Zhou:
Bodypart Recognition Using Multi-stage Deep Learning. IPMI 2015: 449-461 - [c13]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 - [c12]Chaowei Tan, Zhennan Yan, Dong Yang, Kang Li, Hui Jing Yu, Klaus Engelke, Colin Miller, Dimitris N. Metaxas:
Accurate thigh inter-muscular adipose quantification using a data-driven and sparsity-constrained deformable model. ISBI 2015: 1130-1134 - [c11]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 - [c10]Yang Yu, Zhennan Yan, Li Feng, Dimitris N. Metaxas, Leon Axel:
Calibrationless Parallel Dynamic MRI with Joint Temporal Sparsity. MCV@MICCAI 2015: 95-102 - 2014
- [c9]Chaowei Tan, Zhennan Yan, Shaoting Zhang, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, Dimitris N. Metaxas:
An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh. ICPR 2014: 3173-3178 - [c8]Zhennan Yan, Chaowei Tan, Shaoting Zhang, Yan Zhou, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, Dimitris N. Metaxas:
Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI. ICPR 2014: 3280-3285 - [c7]Jinghao Zhou, Giovanni Lasio, Baoshe Zhang, Karl Prado, Warren D. D'Souza, Zhennan Yan, Dimitris N. Metaxas:
Efficient deformable model with sparse shape composition prior on compromised right lung segmentation in CT. ICSAI 2014: 764-768 - 2013
- [c6]Yang Yu, Shaoting Zhang, Zhennan Yan, Song Chen, Rong Zhou, Dimitris N. Metaxas:
Mouse LV 3D motion and strain analysis using tagged MRI. ISBI 2013: 1190-1193 - [c5]Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo:
Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer'S disease. ISBI 2013: 1202-1205 - [c4]Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo:
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas. MCV 2013: 65-73 - 2011
- [c3]Shaoting Zhang, Mustafa Gökhan Uzunbas, Zhennan Yan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas, Leon Axel:
Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI. FIMH 2011: 88-94
2000 – 2009
- 2008
- [c2]Yanyan Zou, Pengfei Huang, Lixu Gu, Jianghua Wu, Zhennan Yan, Sizhe Lv, Feng Chen, Jiasi Song, Hongshan Zhou, Qi Duan:
Deformation modeling using global medial representation structures and evaluation by biset mesh matching. ICME 2008: 937-940 - 2007
- [c1]Pengfei Huang, Lixu Gu, Jingsi Zhang, Xiao Yu, Sizhe Lv, Zhennan Yan, Luyang Zhang, Hongshan Zhou, Xiaoshan Du:
Virtual Surgery Deformable Modelling Employing GPU Based Computation. ICAT 2007: 221-227
Coauthor Index
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