Zhuotun Zhu, 朱卓暾
Zhuotun Zhu, 朱卓暾
Research Associate, JHU
Adresse e-mail validée de jhu.edu - Page d'accueil
Titre
Citée par
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Année
Deep learning representation using autoencoder for 3D shape retrieval
Z Zhu, X Wang, S Bai, C Yao, X Bai
Neurocomputing 204, 41-50, 2016
1482016
A 3D coarse-to-fine framework for volumetric medical image segmentation
Z Zhu, Y Xia, W Shen, E Fishman, A Yuille
2018 International conference on 3D vision (3DV), 682-690, 2018
81*2018
3D shape matching via two layer coding
X Bai, S Bai, Z Zhu, LJ Latecki
IEEE transactions on pattern analysis and machine intelligence 37 (12), 2361 …, 2015
812015
Relaxed multiple-instance SVM with application to object discovery
X Wang, Z Zhu, C Yao, X Bai
Proceedings of the IEEE International Conference on Computer Vision, 1224-1232, 2015
772015
Bridging the gap between 2d and 3d organ segmentation with volumetric fusion net
Y Xia, L Xie, F Liu, Z Zhu, EK Fishman, AL Yuille
International Conference on Medical Image Computing and Computer-Assisted …, 2018
452018
3d semi-supervised learning with uncertainty-aware multi-view co-training
Y Xia, F Liu, D Yang, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
402020
Object Recognition with and without Objects
Z Zhu, L Xie, AL Yuille
arXiv preprint arXiv:1611.06596, 2016
372016
V-nas: Neural architecture search for volumetric medical image segmentation
Z Zhu, C Liu, D Yang, A Yuille, D Xu
2019 International Conference on 3D Vision (3DV), 240-248, 2019
362019
Multi-scale coarse-to-fine segmentation for screening pancreatic ductal adenocarcinoma
Z Zhu, Y Xia, L Xie, EK Fishman, AL Yuille
International conference on medical image computing and computer-assisted …, 2019
262019
Application of deep learning to pancreatic cancer detection: lessons learned from our initial experience
LC Chu, S Park, S Kawamoto, Y Wang, Y Zhou, W Shen, Z Zhu, Y Xia, ...
Journal of the American College of Radiology 16 (9), 1338-1342, 2019
252019
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Y Xia, D Yang, Z Yu, F Liu, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth
Medical Image Analysis 65, 101766, 2020
172020
Volumetric medical image segmentation: a 3D deep coarse-to-fine framework and its adversarial examples
Y Li, Z Zhu, Y Zhou, Y Xia, W Shen, EK Fishman, AL Yuille
Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019
102019
Organ at risk segmentation for head and neck cancer using stratified learning and neural architecture search
D Guo, D Jin, Z Zhu, TY Ho, AP Harrison, CH Chao, J Xiao, L Lu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
72020
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
CH Chao, Z Zhu, D Guo, K Yan, TY Ho, J Cai, AP Harrison, X Ye, J Xiao, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
52020
Detecting scatteredly-distributed, small, andcritically important objects in 3d oncologyimaging via decision stratification
Z Zhu, K Yan, D Jin, J Cai, TY Ho, AP Harrison, D Guo, CH Chao, X Ye, ...
arXiv preprint arXiv:2005.13705, 2020
42020
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy
Z Zhu, D Jin, K Yan, TY Ho, X Ye, D Guo, CH Chao, J Xiao, A Yuille, L Lu
International Conference on Medical Image Computing and Computer-Assisted …, 2020
32020
Segmentation for classification of screening pancreatic neuroendocrine tumors
Z Zhu, Y Lu, W Shen, EK Fishman, AL Yuille
arXiv preprint arXiv:2004.02021, 2020
22020
Bag reference vector for multi-instance learning
H Song, Z Zhu, X Wang
arXiv preprint arXiv:1512.00994, 2015
12015
ImageNet Classification with Complementary Networks
Z Zhu
University of California, Los Angeles, 2016
2016
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