| 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 | 8993 | 2018 |
| 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 | 3772 | 2019 |
| Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally Z Zhou, J Shin, L Zhang, S Gurudu, M Gotway, J Liang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 509 | 2017 |
| Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis Z Zhou, V Sodha, MM Rahman Siddiquee, R Feng, N Tajbakhsh, ... MICCAI 🏆 Young Scientist Award, 2019 | 374 | 2019 |
| Models Genesis Z Zhou, V Sodha, J Pang, MB Gotway, J Liang Medical Image Analysis 🏆 Best Paper Award 67, 101840, 2020 | 340 | 2020 |
| 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 | 310 | 2017 |
| 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) 🏆1st in MSD Competition, 2023 | 222 | 2023 |
| 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 | 132 | 2021 |
| 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 | 117* | 2019 |
| 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 | 92 | 2023 |
| Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration F Haghighi, MR Hosseinzadeh Taher, Z Zhou, MB Gotway, J Liang Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020 | 85 | 2020 |
| 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 | 84 | 2021 |
| 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 | 82 | 2022 |
| 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 | 76* | 2018 |
| 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 | 64* | 2023 |
| AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks C Qu, T Zhang, H Qiao, J Liu, Y Tang, A Yuille, Z Zhou Conference on Neural Information Processing Systems (NeurIPS), 2023 | 61* | 2023 |
| Towards Generalizable Tumor Synthesis Q Chen, X Chen, H Song, Z Xiong, A Yuille, C Wei, Z Zhou IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 43 | 2024 |
| 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 | 43* | 2023 |
| 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 | 43 | 2019 |
| How Well Do Supervised Models Transfer to 3D Image Segmentation? W Li, A Yuille, Z Zhou The Twelfth International Conference on Learning Representations (ICLR), 2024 | 41* | 2024 |
Jianming LiangArizona State UniversityVerified email at asu.edu
