Zhennan Yan

发表

Virtual Surgery Deformable Modelling Employing GPU Based Computation

Lixu Gu, Pengfei Huang, Xiao Yu, 2007, 17th International Conference on Artificial Reality and Telexistence (ICAT 2007).

Fully Automatic Segmentation Of Short-Axis Cardiac MRI Using Modified Deep Layer Aggregation

Dimitris N. Metaxas, Leon Axel, Zhongyu Li, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

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.

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..

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).

Bodypart Recognition Using Multi-stage Deep Learning

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

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

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

Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition

Dimitris N. Metaxas, Shaoting Zhang, Yiqiang Zhan, 2017, Deep Learning for Medical Image Analysis.

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

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

Calibrationless Parallel Dynamic MRI with Joint Temporal Sparsity

Yang Yu, Dimitris N. Metaxas, Leon Axel, 2015, MCV@MICCAI.

How intelligent are convolutional neural networks? pdf

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

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).

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 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).

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

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

Mouse LV 3D motion and strain analysis using tagged MRI

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

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

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

Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation

Dimitris N. Metaxas, Shaoting Zhang, Kang Li, 2015, Patch-MI@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).

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).

Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation

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

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.

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

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

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.

Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI

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

A deep-learning based automatic pulmonary nodule detection system

Liang Zhao, Yiqiang Zhan, Yiyuan Zhao, 2018, 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.

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

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

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

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

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.

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..

Deformation modeling using global medial representation structures and evaluation by biset mesh matching

Lixu Gu, Pengfei Huang, Feng Chen, 2008, 2008 IEEE International Conference on Multimedia and Expo.

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

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