All papers that have not been peer-reviewed will not appear here, including preprints. You can access my all of papers at 🔗Google Scholar.

2025

Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks
Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks

Shizhan Gong, Huayu Wang, Xiaofan Zhang, Qi Dou

Information Processing in Medical Imaging (IPMI) 2025 ConferencePoster

Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks
Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks

Shizhan Gong, Huayu Wang, Xiaofan Zhang, Qi Dou

Information Processing in Medical Imaging (IPMI) 2025 ConferencePoster

Boosting the Visual Interpretability of CLIP via Adversarial Fine-tuning
Boosting the Visual Interpretability of CLIP via Adversarial Fine-tuning

Shizhan Gong, Haoyu Lei, Qi Dou, Farzan Farnia

International Conference on Learning Representations (ICLR) 2025 ConferencePoster

[Paper]

Boosting the Visual Interpretability of CLIP via Adversarial Fine-tuning
Boosting the Visual Interpretability of CLIP via Adversarial Fine-tuning

Shizhan Gong, Haoyu Lei, Qi Dou, Farzan Farnia

International Conference on Learning Representations (ICLR) 2025 ConferencePoster

[Paper]

2024

3DSAM-Adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Tumor Segmentation
3DSAM-Adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Tumor Segmentation

Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou

Medical Image Analysis 2024 Journal

[Paper]

3DSAM-Adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Tumor Segmentation
3DSAM-Adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Tumor Segmentation

Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou

Medical Image Analysis 2024 Journal

[Paper]

A Super-pixel-based Approach to the Stable Interpretation of Neural Networks
A Super-pixel-based Approach to the Stable Interpretation of Neural Networks

Shizhan Gong, Jingwei Zhang, Qi Dou, Farzan Farnia

The British Machine Vision Conference (BMVC) 2024 ConferencePoster

[Paper]

A Super-pixel-based Approach to the Stable Interpretation of Neural Networks
A Super-pixel-based Approach to the Stable Interpretation of Neural Networks

Shizhan Gong, Jingwei Zhang, Qi Dou, Farzan Farnia

The British Machine Vision Conference (BMVC) 2024 ConferencePoster

[Paper]

Self-Supervised Cyclic Diffeomorphic Mapping for Soft Tissue Deformation Recovery in Robotic Surgery Scenes
Self-Supervised Cyclic Diffeomorphic Mapping for Soft Tissue Deformation Recovery in Robotic Surgery Scenes

Shizhan Gong, Yonghao Long, Kai Chen, Jiaqi Liu, Yuliang Xiao, Alexis Cheng, Zerui Wang, Qi Dou

IEEE Transactions on Medical Imaging 2024 Journal

[Paper]

Self-Supervised Cyclic Diffeomorphic Mapping for Soft Tissue Deformation Recovery in Robotic Surgery Scenes
Self-Supervised Cyclic Diffeomorphic Mapping for Soft Tissue Deformation Recovery in Robotic Surgery Scenes

Shizhan Gong, Yonghao Long, Kai Chen, Jiaqi Liu, Yuliang Xiao, Alexis Cheng, Zerui Wang, Qi Dou

IEEE Transactions on Medical Imaging 2024 Journal

[Paper]

Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training

Shizhan Gong, Qi Dou, Farzan Farnia

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 ConferencePoster

[Paper]

Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training

Shizhan Gong, Qi Dou, Farzan Farnia

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 ConferencePoster

[Paper]

Segmentation of Tiny Intracranial Hemorrhage via Learning-to-Rank Local Feature Enhancement
Segmentation of Tiny Intracranial Hemorrhage via Learning-to-Rank Local Feature Enhancement

Shizhan Gong, Yuan Zhong, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou

IEEE International Symposium on Biomedical Imaging (ISBI) 2024 ConferencePoster

[Paper]

Segmentation of Tiny Intracranial Hemorrhage via Learning-to-Rank Local Feature Enhancement
Segmentation of Tiny Intracranial Hemorrhage via Learning-to-Rank Local Feature Enhancement

Shizhan Gong, Yuan Zhong, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou

IEEE International Symposium on Biomedical Imaging (ISBI) 2024 ConferencePoster

[Paper]

2023

Diffusion Model Based Semi-Supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Diffusion Model Based Semi-Supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification

Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou

Information Processing in Medical Imaging (IPMI) 2023 ConferenceOral

[Paper]

Diffusion Model Based Semi-Supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Diffusion Model Based Semi-Supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification

Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou

Information Processing in Medical Imaging (IPMI) 2023 ConferenceOral

[Paper]