Zhennan Yan

52 papers A* 1A 1B 2Journal 21Unranked 26
YearRankTypeTitle / Venue / Authors
2025 J jnl
Slice2Mesh: 3D Surface Reconstruction From Sparse Slices of Images for the Left Ventricle.
IEEE Trans. Medical Imaging
Jia Xiao, Wen Zheng, Wenji Wang, Qing Xia, Zhennan Yan, Qian Guo, Xiao Wang, Shaoping Nie, Shaoting Zhang
2024 J jnl
AVDNet: Joint coronary artery and vein segmentation with topological consistency.
Medical Image Anal.
Wenji Wang, Qing Xia, Zhennan Yan, Zhiqiang Hu, Yinan Chen, Wen Zheng, Xiao Wang, Shaoping Nie, Dimitris N. Metaxas, Shaoting Zhang
2023 J jnl
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning.
Medical Image Anal.
Yiwei Wang, Wenjun Xia, Zhennan Yan, Liang Zhao, Xiaohe Bian, Chang Liu, Zhengnan Qi, Shaoting Zhang, Zisheng Tang
2022 J jnl
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method.
CoRR
Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas
2022 — conf
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method.
MICCAI (4)
Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas
2022 — conf
Modality Bank: Learn multi-modality images across data centers without sharing medical data.
EMBC
Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas
2022 J jnl
Modality Bank: Learn multi-modality images across data centers without sharing medical data.
CoRR
Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas
2022 — conf
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.
MICCAI (5)
Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas
2022 J jnl
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.
CoRR
Di Liu, Yunhe Gao, Qilong Zhangli, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas
2021 — conf
An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging.
STACOM@MICCAI
Qi Chang, Zhennan Yan, Meng Ye, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas
2021 A* conf
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images.
CVPR
Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas
2021 J jnl
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images.
CoRR
Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas
2021 J jnl
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation.
IEEE Trans. Medical Imaging
Wenji Wang, Qing Xia, Zhiqiang Hu, Zhennan Yan, Zhuowei Li, Yang Wu, Ning Huang, Yue Gao, Dimitris N. Metaxas, Shaoting Zhang
2021 — conf
Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation.
STACOM@MICCAI
Di Liu, Zhennan Yan, Qi Chang, Leon Axel, Dimitris N. Metaxas
2021 J jnl
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning.
Medical Image Anal.
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
2020 — conf
Learn Distributed GAN with Temporary Discriminators.
ECCV (27)
Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas
2020 J jnl
Learn distributed GAN with Temporary Discriminators.
CoRR
Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas
2020 J jnl
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information.
CoRR
Qi Chang, Zhennan Yan, Lohendran Baskaran, Hui Qu, Yikai Zhang, Tong Zhang, Shaoting Zhang, Dimitris N. Metaxas
2020 — conf
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation.
MLMI@MICCAI
Zhuowei Li, Qing Xia, Wenji Wang, Zhennan Yan, Ruohan Yin, Changjie Pan, Dimitris N. Metaxas
2020 — conf
Soft-Label Guided Semi-Supervised Learning for Bi-Ventricle Segmentation in Cardiac Cine MRI.
ISBI
Qi Chang, Zhennan Yan, Yixuan Lou, Leon Axel, Dimitris N. Metaxas
2020 J jnl
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
CoRR
Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas
2020 J jnl
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
IEEE Trans. Medical Imaging
Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas
2019 — conf
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation.
MICCAI (2)
Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas
2019 J jnl
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation.
CoRR
Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas
2019 — conf
Fully Automatic Segmentation Of Short-Axis Cardiac MRI Using Modified Deep Layer Aggregation.
ISBI
Zhongyu Li, Yixuan Lou, Zhennan Yan, Subhi Al'Aref, James K. Min, Leon Axel, Dimitris N. Metaxas
2019 — conf
Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss.
MICCAI (1)
Hui Qu, Zhennan Yan, Gregory M. Riedlinger, Subhajyoti De, Dimitris N. Metaxas
2018 — conf
A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing.
MICCAI (3)
Xiuyan Ni, Zhennan Yan, Tingting Wu, Jin Fan, Chao Chen
2018 — conf
A deep-learning based automatic pulmonary nodule detection system.
Computer-Aided Diagnosis
Yiyuan Zhao, Liang Zhao, Zhennan Yan, Matthias Wolf, Yiqiang Zhan
2018 — conf
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation.
ISBI
Chaowei Tan, Liang Zhao, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Yiqiang Zhan
2018 — conf
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.
MICCAI (1)
Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan
2017 J jnl
How intelligent are convolutional neural networks?
CoRR
Zhennan Yan, Xiang Sean Zhou
2017 — ch.
Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition.
Deep Learning for Medical Image Analysis
Zhennan Yan, Yiqiang Zhan, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou
2017 J jnl
Towards large-scale MR thigh image analysis via an integrated quantification framework.
Neurocomputing
Chaowei Tan, Kang Li, Zhennan Yan, Jingru Yi, Pengxiang Wu, Hui Jing Yu, Klaus Engelke, Dimitris N. Metaxas
2016 J jnl
A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification.
Comput. Vis. Image Underst.
Chaowei Tan, Kang Li, Zhennan Yan, Dong Yang, Shaoting Zhang, Hui Jing Yu, Klaus Engelke, Colin Miller, Dimitris N. Metaxas
2016 J jnl
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.
IEEE Trans. Medical Imaging
Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou
2015 — conf
Accurate thigh inter-muscular adipose quantification using a data-driven and sparsity-constrained deformable model.
ISBI
Chaowei Tan, Zhennan Yan, Dong Yang, Kang Li, Hui Jing Yu, Klaus Engelke, Colin Miller, Dimitris N. Metaxas
2015 J jnl
Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials.
Comput. Medical Imaging Graph.
Zhennan Yan, Shaoting Zhang, Chaowei Tan, Hongxing Qin, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, Dimitris N. Metaxas
2015 — conf
Automated anatomical landmark detection ondistal femur surface using convolutional neural network.
ISBI
Dong Yang, Shaoting Zhang, Zhennan Yan, Chaowei Tan, Kang Li, Dimitris N. Metaxas
2015 J jnl
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.
Jinghao Zhou, Zhennan Yan, Giovanni Lasio, Junzhou Huang, Baoshe Zhang, Navesh Sharma, Karl Prado, Warren D. D'Souza
2015 — conf
Bodypart Recognition Using Multi-stage Deep Learning.
IPMI
Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Dimitris N. Metaxas, Xiang Sean Zhou
2015 — conf
Calibrationless Parallel Dynamic MRI with Joint Temporal Sparsity.
MCV@MICCAI
Yang Yu, Zhennan Yan, Li Feng, Dimitris N. Metaxas, Leon Axel
2015 J jnl
Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues.
IEEE Trans. Cybern.
Xiang Yu, Shaoting Zhang, Zhennan Yan, Fei Yang, Junzhou Huang, Norah E. Dunbar, Matthew L. Jensen, Judee K. Burgoon, Dimitris N. Metaxas
2015 — conf
Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation.
Patch-MI@MICCAI
Chaowei Tan, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Shaoting Zhang
2014 B conf
An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh.
ICPR
Chaowei Tan, Zhennan Yan, Shaoting Zhang, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, Dimitris N. Metaxas
2014 B conf
Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI.
ICPR
Zhennan Yan, Chaowei Tan, Shaoting Zhang, Yan Zhou, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, Dimitris N. Metaxas
2014 — conf
Efficient deformable model with sparse shape composition prior on compromised right lung segmentation in CT.
ICSAI
Jinghao Zhou, Giovanni Lasio, Baoshe Zhang, Karl Prado, Warren D. D'Souza, Zhennan Yan, Dimitris N. Metaxas
2013 — conf
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas.
MCV
Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo
2013 — conf
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
Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo
2013 — conf
Mouse LV 3D motion and strain analysis using tagged MRI.
ISBI
Yang Yu, Shaoting Zhang, Zhennan Yan, Song Chen, Rong Zhou, Dimitris N. Metaxas
2011 — conf
Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI.
FIMH
Shaoting Zhang, Mustafa Gökhan Uzunbas, Zhennan Yan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas, Leon Axel
2008 A conf
Deformation modeling using global medial representation structures and evaluation by biset mesh matching.
ICME
Yanyan Zou, Pengfei Huang, Lixu Gu, Jianghua Wu, Zhennan Yan, Sizhe Lv, Feng Chen, Jiasi Song, Hongshan Zhou, Qi Duan
2007 — conf
Virtual Surgery Deformable Modelling Employing GPU Based Computation.
ICAT
Pengfei Huang, Lixu Gu, Jingsi Zhang, Xiao Yu, Sizhe Lv, Zhennan Yan, Luyang Zhang, Hongshan Zhou, Xiaoshan Du