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Zhennan Yan
Zhennan Yan
Senior Research Scientist, SenseBrain
Verified email at sensebrain.site
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Cited by
Year
Multi-instance deep learning: Discover discriminative local anatomies for bodypart recognition
Z Yan, Y Zhan, Z Peng, S Liao, Y Shinagawa, S Zhang, DN Metaxas, ...
IEEE transactions on medical imaging 35 (5), 1332-1343, 2016
2292016
Automated anatomical landmark detection ondistal femur surface using convolutional neural network
D Yang, S Zhang, Z Yan, C Tan, K Li, D Metaxas
2015 IEEE 12th international symposium on biomedical imaging (ISBI), 17-21, 2015
922015
Weakly supervised deep nuclei segmentation using partial points annotation in histopathology images
H Qu, P Wu, Q Huang, J Yi, Z Yan, K Li, GM Riedlinger, S De, S Zhang, ...
IEEE transactions on medical imaging 39 (11), 3655-3666, 2020
692020
Improving nuclei/gland instance segmentation in histopathology images by full resolution neural network and spatial constrained loss
H Qu, Z Yan, GM Riedlinger, S De, DN Metaxas
International conference on medical image computing and computer-assisted …, 2019
53*2019
Bodypart recognition using multi-stage deep learning
Z Yan, Y Zhan, Z Peng, S Liao, Y Shinagawa, DN Metaxas, XS Zhou
International conference on information processing in medical imaging, 449-461, 2015
502015
Is interactional dissynchrony a clue to deception? insights from automated analysis of nonverbal visual cues
X Yu, S Zhang, Z Yan, F Yang, J Huang, NE Dunbar, ML Jensen, ...
Cybernetics, IEEE Transactions on 45 (3), 492-506, 2015
402015
Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials
Z Yan, S Zhang, C Tan, H Qin, B Belaroussi, HJ Yu, C Miller, DN Metaxas
Computerized Medical Imaging and Graphics 41, 80-92, 2015
312015
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation
C Tan, L Zhao, Z Yan, K Li, D Metaxas, Y Zhan
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
272018
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT
J Zhou, Z Yan, G Lasio, J Huang, B Zhang, N Sharma, K Prado, ...
Computerized Medical Imaging and Graphics 46, 47-55, 2015
252015
Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning
H Qu, M Zhou, Z Yan, H Wang, VK Rustgi, S Zhang, O Gevaert, ...
NPJ precision oncology 5 (1), 1-11, 2021
172021
Few-shot learning by a cascaded framework with shape-constrained pseudo label assessment for whole heart segmentation
W Wang, Q Xia, Z Hu, Z Yan, Z Li, Y Wu, N Huang, Y Gao, D Metaxas, ...
IEEE Transactions on Medical Imaging 40 (10), 2629-2641, 2021
172021
Soft tissue deformation simulation in virtual surgery using nonlinear finite element method
Z Yan, L Gu, P Huang, S Lv, X Yu, X Kong
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
172007
Multi-instance multi-stage deep learning for medical image recognition
Z Yan, Y Zhan, S Zhang, D Metaxas, XS Zhou
Deep Learning for Medical Image Analysis, 83-104, 2017
152017
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
Z Yan, S Zhang, X Liu, DN Metaxas, A Montillo
2013 IEEE 10th International Symposium on Biomedical Imaging, 1202-1205, 2013
152013
Deeptag: An unsupervised deep learning method for motion tracking on cardiac tagging magnetic resonance images
M Ye, M Kanski, D Yang, Q Chang, Z Yan, Q Huang, L Axel, D Metaxas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
142021
Virtual surgery deformable modelling employing GPU based computation
P Huang, L Gu, J Zhang, X Yu, S Lv, Z Yan, L Zhang, H Zhou, X Du
17th International Conference on Artificial Reality and Telexistence (ICAT …, 2007
142007
A deep-learning based automatic pulmonary nodule detection system
Y Zhao, L Zhao, Z Yan, M Wolf, Y Zhan
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 713-719, 2018
132018
How intelligent are convolutional neural networks?
Z Yan, XS Zhou
arXiv preprint arXiv:1709.06126, 2017
132017
An automated and robust framework for quantification of muscle and fat in the thigh
C Tan, Z Yan, S Zhang, B Belaroussi, HJ Yu, C Miller, DN Metaxas
2014 22nd International Conference on Pattern Recognition, 3173-3178, 2014
132014
Collaborative multi-agent learning for MR knee articular cartilage segmentation
C Tan, Z Yan, S Zhang, K Li, DN Metaxas
International Conference on Medical Image Computing and Computer-Assisted …, 2019
112019
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