Zhennan Yan

发表

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Dimitris N. Metaxas, Ding Liu, L. Axel, 2022, International Conference on Medical Image Computing and Computer-Assisted Intervention.

A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Dimitris N. Metaxas, Ding Liu, Shaoting Zhang, 2022, 2203.00131.

Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation

Dimitris N. Metaxas, Leon Axel, Qi Chang, 2021, STACOM@MICCAI.

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

Dimitris N. Metaxas, Ding Liu, Zhennan Yan, 2022, ArXiv.

Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation

Dimitris N. Metaxas, Qing Xia, Zhennan Yan, 2020, MLMI@MICCAI.

An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging

Dimitris N. Metaxas, L. Axel, S. Al’Aref, 2021, STACOM@MICCAI.

Federated Synthetic Learning from Multi-institutional and Heterogeneous Medical Data

Dimitris N. Metaxas, Shaoting Zhang, Qi Chang, 2021 .

A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Dimitris N. Metaxas, Ding Liu, Shaoting Zhang, 2022, 2203.00131.

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Dimitris N. Metaxas, Ding Liu, L. Axel, 2022, MICCAI.

Modality Bank: Learn multi-modality images across data centers without sharing medical data

Dimitris N. Metaxas, Qi Chang, Hui Qu, 2022, Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

Dimitris N. Metaxas, Ding Liu, Zhennan Yan, 2022, MICCAI.

Based on pre-treatment and region growing segmentation method of liver

Zhennan Yan, Wenhan Wang, Hexin Yu, 2010, 2010 3rd International Congress on Image and Signal Processing.

A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification

Dimitris N. Metaxas, Shaoting Zhang, Kang Li, 2016, Comput. Vis. Image Underst..

Robust medical image recognition and segmentation

Zhennan Yan, Zhennan Yan, 2016 .

tlas-based liver segmentation and hepatic fat-fraction assessment or clinical trials

Dimitris N. Metaxas, Shaoting Zhang, Hongxing Qin, 2014 .

Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI

Yan Zhou, Dimitris N. Metaxas, Shaoting Zhang, 2014, 2014 22nd International Conference on Pattern Recognition.

Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas

Dimitris N. Metaxas, Shaoting Zhang, Albert Montillo, 2013, MCV.

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

Dimitris N. Metaxas, Shaoting Zhang, Albert Montillo, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning

Dimitris N. Metaxas, O. Gevaert, Mu Zhou, 2021, npj Precision Oncology.

Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT

Junzhou Huang, Karl Prado, Zhennan Yan, 2015, Comput. Medical Imaging Graph..

Efficient deformable model with sparse shape composition prior on compromised right lung segmentation in CT

Dimitris N. Metaxas, Karl Prado, Baoshe Zhang, 2014, The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014).

Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI

Junzhou Huang, Dimitris N. Metaxas, Leon Axel, 2011, FIMH.

Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning

Liang Zhao, Shaoting Zhang, Chang-gui Liu, 2023, Medical Image Anal..

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

Dimitris N. Metaxas, Qiaoying Huang, Pengxiang Wu, 2020, IEEE Transactions on Medical Imaging.

Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss

Dimitris N. Metaxas, Hui Qu, Zhennan Yan, 2019, MICCAI.

How intelligent are convolutional neural networks? pdf

Xiang Sean Zhou, Zhennan Yan, Zhennan Yan, 2017, ArXiv.

Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation

Dimitris N. Metaxas, Ning Huang, Zhiqiang Hu, 2021, IEEE Transactions on Medical Imaging.

A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Dimitris N. Metaxas, Ding Liu, Shaoting Zhang, 2022, 2203.00131.

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images

Dimitris N. Metaxas, Qiaoying Huang, L. Axel, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation pdf

Dimitris N. Metaxas, Shaoting Zhang, Kang Li, 2019, MICCAI.

Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation

Dimitris N. Metaxas, Kang Li, Liang Zhao, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh

Dimitris N. Metaxas, Shaoting Zhang, Zhennan Yan, 2014, 2014 22nd International Conference on Pattern Recognition.

A novel and robust automatic seed point selection method for breast ultrasound images

Dimitris N. Metaxas, Kazi Khairul Islam, Brian S. Garra, 2016, 2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec).

Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues

Fei Yang, Matthew L. Jensen, Norah E. Dunbar, 2015, IEEE Transactions on Cybernetics.

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition

Shu Liao, Dimitris N. Metaxas, Shaoting Zhang, 2016, IEEE Transactions on Medical Imaging.

Bodypart Recognition Using Multi-stage Deep Learning

Shu Liao, Dimitris N. Metaxas, Yoshihisa Shinagawa, 2015, IPMI.

Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning

Dimitris N. Metaxas, Kang Li, Lichi Zhang, 2021, Medical Image Anal..

Towards large-scale MR thigh image analysis via an integrated quantification framework

Dimitris N. Metaxas, Kang Li, Pengxiang Wu, 2017, Neurocomputing.

Accurate thigh inter-muscular adipose quantification using a data-driven and sparsity-constrained deformable model

Dimitris N. Metaxas, Kang Li, Dong Yang, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Deformable models, sparsity and learning-based segmentation for cardiac MRI based analytics

Dimitris N. Metaxas, Zhennan Yan, Zhennan Yan, 2020 .

Automated anatomical landmark detection ondistal femur surface using convolutional neural network

Dimitris N. Metaxas, Shaoting Zhang, Kang Li, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing

Jin Fan, Chao Chen, Tingting Wu, 2018, MICCAI.

Computerized Medical Imaging and Graphics Atlas-based Liver Segmentation and Hepatic Fat-fraction Assessment for Clinical Trials

Dimitris N. Metaxas, Shaoting Zhang, Chaowei Tan, 2022 .

Automatic Rapid Segmentation of Human Lung from 2 D Chest X-Ray Images

Dimitris N. Metaxas, Shaoting Zhang, Jing Zhang, 2012 .

Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information pdf

Yikai Zhang, Dimitris N. Metaxas, Hui Qu, 2020, ArXiv.

Mining multi-center heterogeneous medical data with distributed synthetic learning

Dimitris N. Metaxas, Hongsheng Li, Shaoting Zhang, 2023, Nature communications.

Modulus reconstruction from prostate ultrasound images using finite element modeling

Dimitris N. Metaxas, Shaoting Zhang, Ernest J. Feleppa, 2012, Medical Imaging.

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

Dimitris N. Metaxas, Ding Liu, Zhennan Yan, 2022, MICCAI.

Learn distributed GAN with Temporary Discriminators pdf

Yikai Zhang, Dimitris N. Metaxas, Chao Chen, 2020, ECCV.

AVDNet: Joint coronary artery and vein segmentation with topological consistency

S. Nie, Zhennan Yan, Qing Xia, 2023, Medical Image Anal..

Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks

Shu Liao, Yu Zhao, Tianming Liu, 2018, MICCAI.

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images

Dong Yang, Leon Axel, Dimitris N. Metaxas, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).