Zhuotun Zhu, 朱卓暾
Zhuotun Zhu, 朱卓暾
Research Associate, JHU
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
Deep learning representation using autoencoder for 3D shape retrieval
Z Zhu, X Wang, S Bai, C Yao, X Bai
Neurocomputing 204, 41-50, 2016
1572016
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
101*2018
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
842015
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
832015
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
542018
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
532020
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
472019
Object recognition with and without objects
Z Zhu, L Xie, AL Yuille
arXiv preprint arXiv:1611.06596, 2016
422016
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
392019
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
322020
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
302019
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
212020
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
142019
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
112020
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
102020
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
52020
Segmentation for classification of screening pancreatic neuroendocrine tumors
Z Zhu, Y Lu, W Shen, EK Fishman, AL Yuille
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
32021
Bag reference vector for multi-instance learning
H Song, Z Zhu, X Wang
arXiv preprint arXiv:1512.00994, 2015
12015
DEEP LEARNING FOR VOLUMETRIC MEDICAL IMAGE SEGMENTATION
Z Zhu
Johns Hopkins University, 2020
2020
ImageNet Classification with Complementary Networks
Z Zhu
University of California, Los Angeles, 2016
2016
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Articles 1–20