Zongwei Zhou | 周纵苇
Zongwei Zhou | 周纵苇
Postdoctoral Researcher, Johns Hopkins University
Email verificata su asu.edu - Home page
Titolo
Citata da
Citata da
Anno
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
8582018
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
2522017
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
1832019
Comparison of Machine Learning Methods for Classifying Mediastinal Lymph Node Metastasis of Non-small Cell Lung Cancer from 18F-FDG PET/CT Images
W Hongkai, Z Zongwei, L Yingci, C Zhonghua, L Peiou, W Wenzhi, ...
EJNMMI Research 7 (1), 11, 2017
146*2017
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
822019
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, ...
Proceedings of the IEEE International Conference on Computer Vision, 191-200, 2019
22*2019
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
182019
Models Genesis
Z Zhou, V Sodha, J Pang, MB Gotway, J Liang
Medical Image Analysis 67, 101840, 2020
132020
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
11*2018
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
72020
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction
R Feng, Z Zhou, MB Gotway, J Liang
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
32020
Systems, methods, and/or media, for selecting candidates for annotation for use in training a classifier
J Liang, Z Zhou, J Shin
US Patent App. 15/965,691, 2018
22018
Methods, systems, and media for selecting candidates for annotation for use in training classifiers
J Liang, Z Zhou, J Shin
US Patent 10,956,785, 2021
12021
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
12021
Methods, systems, and media for segmenting images
Z Zhou, MM Rahman Siddiquee, N Tajbakhsh, J Liang
US Patent App. 16/885,579, 2020
12020
Methods, systems, and media for discriminating and generating translated images
MM Siddiquee, Rahman Siddiquee, Z Zhou, R Feng, N Tajbakhsh, ...
US Patent App. 16/875,680, 2020
1*2020
Systems, methods, and apparatuses for implementing a multi-resolution neural network for use with imaging intensive applications including medical imaging
J Liang, Z Zhou, MM Rahman Siddiquee, N Tajbakhsh
US Patent App. 16/556,130, 2020
12020
Towards Annotation-Efficient Deep Learning for Computer-Aided Diagnosis
Z Zhou
Arizona State University, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–18