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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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