ICCV 2025 Open Access Repository

PHAROS Adaptation, Fairness, Explainability in AI Medical Imaging Workshop

Advancing Lung Disease Diagnosis in 3D CT Scans: Qingqiu Li,

Runtian Yuan,

Junlin Hou,

Jilan Xu,

Yuejie Zhang,

Rui Feng,

Hao Chen; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2025_ICCV, author = {Li, Qingqiu and Yuan, Runtian and Hou, Junlin and Xu, Jilan and Zhang, Yuejie and Feng, Rui and Chen, Hao}, title = {Advancing Lung Disease Diagnosis in 3D CT Scans}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7377-7382} }
Taming Domain Shift in Multi-source CT-Scan Classification via Input-Space Standardization: Chia-Ming Lee,

Bo-Cheng Qiu,

Ting-Yao Chen,

Ming-Han Sun,

Yu-Fan Lin,

Fang-Ying Lin,

Jung-Tse Tsai,

I-An Tsai,

Chih-Chung Hsu; [pdf] [arXiv]
[bibtex]
@InProceedings{Lee_2025_ICCV, author = {Lee, Chia-Ming and Qiu, Bo-Cheng and Chen, Ting-Yao and Sun, Ming-Han and Lin, Yu-Fan and Lin, Fang-Ying and Tsai, Jung-Tse and Tsai, I-An and Hsu, Chih-Chung}, title = {Taming Domain Shift in Multi-source CT-Scan Classification via Input-Space Standardization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7331-7339} }
DeepSeg-MS: A 3D network based on hierarchical multi-scale learning for MRI multiple sclerosis lesion segmentation: Alessia Rondinella,

Francesco Guarnera,

Francesco Rundo,

Sebastiano Battiato; [pdf]
[bibtex]
@InProceedings{Rondinella_2025_ICCV, author = {Rondinella, Alessia and Guarnera, Francesco and Rundo, Francesco and Battiato, Sebastiano}, title = {DeepSeg-MS: A 3D network based on hierarchical multi-scale learning for MRI multiple sclerosis lesion segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7367-7376} }
Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning: Paraskevi-Antonia Theofilou,

Anuhya Thota,

Stefanos Kollias,

Mamatha Thota; [pdf]
[bibtex]
@InProceedings{Theofilou_2025_ICCV, author = {Theofilou, Paraskevi-Antonia and Thota, Anuhya and Kollias, Stefanos and Thota, Mamatha}, title = {Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7340-7349} }
Med-VLM: Enhancing Medical Image Segmentation Accuracy through Vision-Language Model: Yihao Zhao,

Enhao Zhong,

Cuiyun Yuan,

Yang Li,

Man Zhao,

Chunxia Li,

Jun Hu,

Wei Liu,

Chenbin Liu; [pdf]
[bibtex]
@InProceedings{Zhao_2025_ICCV, author = {Zhao, Yihao and Zhong, Enhao and Yuan, Cuiyun and Li, Yang and Zhao, Man and Li, Chunxia and Hu, Jun and Liu, Wei and Liu, Chenbin}, title = {Med-VLM: Enhancing Medical Image Segmentation Accuracy through Vision-Language Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7283-7293} }
Quantifying Inter-Operator Variability and its Causes for Medical Semantic Segmentation: Sophie Fischer,

Irina Voiculescu; [pdf]
[bibtex]
@InProceedings{Fischer_2025_ICCV, author = {Fischer, Sophie and Voiculescu, Irina}, title = {Quantifying Inter-Operator Variability and its Causes for Medical Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7322-7330} }
Multi-Source Covid-19 Detection via Variance Risk Extrapolation: Runtian Yuan,

Qingqiu Li,

Junlin Hou,

Jilan Xu,

Yuejie Zhang,

Rui Feng,

Hao Chen; [pdf] [arXiv]
[bibtex]
@InProceedings{Yuan_2025_ICCV, author = {Yuan, Runtian and Li, Qingqiu and Hou, Junlin and Xu, Jilan and Zhang, Yuejie and Feng, Rui and Chen, Hao}, title = {Multi-Source Covid-19 Detection via Variance Risk Extrapolation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7304-7311} }
Dopamine-Inspired Neuro-Modulated Radiomic Pipeline for Computed-Tomography-Driven Prediction of Immunotherapy Response in Metastatic Cancer Treatment: Francesco Rundo,

Massimo Orazio Spata,

Carmelo Pino,

Sebastiano Battiato; [pdf]
[bibtex]
@InProceedings{Rundo_2025_ICCV, author = {Rundo, Francesco and Spata, Massimo Orazio and Pino, Carmelo and Battiato, Sebastiano}, title = {Dopamine-Inspired Neuro-Modulated Radiomic Pipeline for Computed-Tomography-Driven Prediction of Immunotherapy Response in Metastatic Cancer Treatment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7294-7303} }
ProtoMedX: Towards Explainable Multi-Modal Prototype Learning for Bone Health Classification: Alvaro Lopez Pellicer,

Andre Mariucci,

Plamen Angelov,

Marwan Bukhari,

Jemma G. Kerns; [pdf] [arXiv]
[bibtex]
@InProceedings{Pellicer_2025_ICCV, author = {Pellicer, Alvaro Lopez and Mariucci, Andre and Angelov, Plamen and Bukhari, Marwan and Kerns, Jemma G.}, title = {ProtoMedX: Towards Explainable Multi-Modal Prototype Learning for Bone Health Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7357-7366} }
In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging: Valentina Corbetta,

Floris Six Dijkstra,

Regina Beets-Tan,

Hoel Kervadec,

Kristoffer Wickstrøm,

Wilson Silva; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Corbetta_2025_ICCV, author = {Corbetta, Valentina and Dijkstra, Floris Six and Beets-Tan, Regina and Kervadec, Hoel and Wickstr{\o}m, Kristoffer and Silva, Wilson}, title = {In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7312-7321} }
PHAROS-AFE-AIMI: Multi-source & Fair Disease Diagnosis: Dimitrios Kollias,

Anastasios Arsenos,

Stefanos Kollias; [pdf]
[bibtex]
@InProceedings{Kollias_2025_ICCV, author = {Kollias, Dimitrios and Arsenos, Anastasios and Kollias, Stefanos}, title = {PHAROS-AFE-AIMI: Multi-source \& Fair Disease Diagnosis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7265-7273} }
Proactive HIV Care: AI-Based Comorbidity Prediction from Routine EHR Data: Solomon Russom,

Dimitrios Kollias,

Qianni Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Russom_2025_ICCV, author = {Russom, Solomon and Kollias, Dimitrios and Zhang, Qianni}, title = {Proactive HIV Care: AI-Based Comorbidity Prediction from Routine EHR Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7274-7282} }
Fairness in Breast Cancer Diagnosis with Deep Learning: Laura Mata Le Bot,

Sze Chai Kwok,

Emmanuel Amankwa-Frempong,

Kofi Appiah; [pdf]
[bibtex]
@InProceedings{Le_Bot_2025_ICCV, author = {Le Bot, Laura Mata and Kwok, Sze Chai and Amankwa-Frempong, Emmanuel and Appiah, Kofi}, title = {Fairness in Breast Cancer Diagnosis with Deep Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7350-7356} }