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Shizhan Gong
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2020 – today
- 2025
- [i5]Haoyu Lei, Shizhan Gong, Qi Dou, Farzan Farnia:
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning. CoRR abs/2503.14925 (2025) - 2024
- [j2]Shizhan Gong, Yuan Zhong
, Wenao Ma, Jinpeng Li
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation. Medical Image Anal. 98: 103324 (2024) - [j1]Shizhan Gong
Self-Supervised Cyclic Diffeomorphic Mapping for Soft Tissue Deformation Recovery in Robotic Surgery Scenes. IEEE Trans. Medical Imaging 43(12): 4356-4367 (2024) - [c4]Shizhan Gong, Qi Dou, Farzan Farnia:
Structured Gradient-Based Interpretations via Norm-Regularized Adversarial Training. CVPR 2024: 11009-11018 - [c3]Shizhan Gong, Yuan Zhong, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Segmentation of Tiny Intracranial Hemorrhage Via Learning-to-Rank Local Feature Enhancement. ISBI 2024: 1-5 - [i4]Shizhan Gong, Qi Dou, Farzan Farnia:
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training. CoRR abs/2404.04647 (2024) - [i3]Shizhan Gong, Jingwei Zhang, Qi Dou, Farzan Farnia:
A Super-pixel-based Approach to the Stable Interpretation of Neural Networks. CoRR abs/2412.14509 (2024) - 2023
- [c2]Shizhan Gong
Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. IPMI 2023: 69-81 - [i2]Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. CoRR abs/2301.00409 (2023) - [i1]Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou:
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation. CoRR abs/2306.13465 (2023) - 2022
- [c1]Shizhan Gong, Weitao Lu, Jize Xie, Xiaofan Zhang, Shaoting Zhang, Qi Dou:
Robust Cardiac MRI Segmentation with Data-Centric Models to Improve Performance via Intensive Pre-training and Augmentation. STACOM@MICCAI 2022: 494-504
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