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Zongwei Zhou
Zongwei Zhou
Other names周纵苇
Postdoctoral Researcher, Johns Hopkins University
Verified email at jh.edu - Homepage
Title
Cited by
Cited by
Year
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Z Zhou, MM Rahman Siddiquee, N Tajbakhsh, J Liang
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
61392018
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Z Zhou, MM Rahman Siddiquee, N Tajbakhsh, J Liang
IEEE Transactions on Medical Imaging, 2019
23812019
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally
Z Zhou, J Shin, L Zhang, S Gurudu, M Gotway, J Liang
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
4642017
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Z Zhou, V Sodha, MM Rahman Siddiquee, R Feng, N Tajbakhsh, ...
International Conference on Medical Image Computing and Computer Assisted …, 2019
3032019
Comparison of Machine Learning Methods for Classifying Mediastinal Lymph Node Metastasis of Non-small Cell Lung Cancer from 18F-FDG PET/CT Images
H Wang, Z Zhou, Y Li, Z Chen, P Lu, W Wang, W Liu, L Yu
EJNMMI Research 7 (1), 11, 2017
2772017
Models Genesis
Z Zhou, V Sodha, J Pang, MB Gotway, J Liang
Medical Image Analysis 67, 101840, 2020
2452020
Learning Fixed Points in Generative Adversarial Networks: From Image-to-image Translation to Disease Detection and Localization
MM Rahman Siddiquee, Z Zhou, N Tajbakhsh, R Feng, MB Gotway, ...
International Conference on Computer Vision (ICCV), 191-200, 2019
100*2019
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
F Haghighi, MR Hosseinzadeh Taher, Z Zhou, MB Gotway, J Liang
IEEE Transactions on Medical Imaging, 2021
852021
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
F Haghighi, MR Hosseinzadeh Taher, Z Zhou, MB Gotway, J Liang
International Conference on Medical Image Computing and Computer Assisted …, 2020
682020
Clip-driven universal model for organ segmentation and tumor detection
J Liu, Y Zhang, JN Chen, J Xiao, Y Lu, BA Landman, Y Yuan, A Yuille, ...
International Conference on Computer Vision (ICCV), 2023
652023
Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts
Z Zhou, JY Shin, SR Gurudu, MB Gotway, J Liang
Medical Image Analysis, 2018
61*2018
Learning from Temporal Gradient for Semi-supervised Action Recognition
J Xiao, L Jing, L Zhang, J He, Q She, Z Zhou, A Yuille, Y Li
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
522021
Integrating Active Learning and Transfer Learning for Carotid Intima-media Thickness Video Interpretation
Z Zhou, J Shin, R Feng, RT Hurst, CB Kendall, J Liang
Journal of digital imaging 32 (2), 290-299, 2019
402019
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
J Xiao, Y Bai, A Yuille, Z Zhou
Winter Conference on Applications of Computer Vision (WACV), 2022
382022
Label-Free Liver Tumor Segmentation
Q Hu, Y Chen, J Xiao, S Sun, J Chen, A Yuille, Z Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
282023
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
T Xiang, Y Lu, AL Yuille, C Zhang, W Cai, Z Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
282023
Towards annotation-efficient deep learning for computer-aided diagnosis
Z Zhou
Arizona State University, 2021
252021
Parts2whole: Self-supervised contrastive learning via reconstruction
R Feng, Z Zhou, MB Gotway, J Liang
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
232020
Making your first choice: to address cold start problem in medical active learning
L Chen, Y Bai, S Huang, Y Lu, B Wen, A Yuille, Z Zhou
Medical Imaging with Deep Learning (MIDL), 2023
21*2023
MT-TransUNet: Mediating multi-task tokens in transformers for skin lesion segmentation and classification
J Chen, J Chen, Z Zhou, B Li, A Yuille, Y Lu
arXiv preprint arXiv:2112.01767, 2021
192021
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