Biomedical Image and Signal Computing for Unbiasedness, Interpretability, and Trustworthiness
Measuring and Addressing Information Leakage in Concept Bottleneck Models-
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[bibtex]@InProceedings{Schoen_2025_ICCV, author = {Schoen, Raffael and Abeloos, Baptiste and Herbin, St\'ephane}, title = {Measuring and Addressing Information Leakage in Concept Bottleneck Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {624-632} }
Evaluating the Trustworthiness of Foundation Models for Skin Lesion Segmentation-
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[bibtex]@InProceedings{Chu_2025_ICCV, author = {Chu, Yusung and Oh, Byungho and Yang, Sejung}, title = {Evaluating the Trustworthiness of Foundation Models for Skin Lesion Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {562-572} }
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays-
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[bibtex]@InProceedings{Dack_2025_ICCV, author = {Dack, Ethan and Dai, Chengliang}, title = {Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {573-583} }
TrustMatch: Mitigating Pseudo-Label Bias in Semi-Supervised Learning with Trust-Aware Refinement-
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[bibtex]@InProceedings{He_2025_ICCV, author = {He, Hongyang and Hong, Yundi}, title = {TrustMatch: Mitigating Pseudo-Label Bias in Semi-Supervised Learning with Trust-Aware Refinement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {594-603} }
Dino2-DR: A Trustworthy and Explainable Vision Transformer for Cross-Domain Diabetic Retinopathy Grading-
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[bibtex]@InProceedings{Cascone_2025_ICCV, author = {Cascone, Lucia and Di Biasi, Luigi and Genito, Giuseppe and Nappi, Michele}, title = {Dino2-DR: A Trustworthy and Explainable Vision Transformer for Cross-Domain Diabetic Retinopathy Grading}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {584-593} }
Are Medical Image Generative Models Biologically Trustworthy?-
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[bibtex]@InProceedings{Ahn_2025_ICCV, author = {Ahn, Suhyun and Park, Wonjung and Park, Jinah}, title = {Are Medical Image Generative Models Biologically Trustworthy?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {633-643} }
WaveDamp: Enhancing Natural Robustness in Endoscopy Through Wavelet-Based Frequency Damping-
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[bibtex]@InProceedings{Middeljans_2025_ICCV, author = {Middeljans, Haiko and Kusters, Carolus H. J. and Jaspers, Tim J. M. and Jong, Martijn R. and Van Eijck Van Heslinga, Rixta A. H. and Slooter, Florance C. and De Groof, Albert J. and Bergman, Jacques J. and De With, Peter H. N. and Van Der Sommen, Fons}, title = {WaveDamp: Enhancing Natural Robustness in Endoscopy Through Wavelet-Based Frequency Damping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {604-614} }
AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing-
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[bibtex]@InProceedings{Jahin_2025_ICCV, author = {Jahin, Md Abrar and Fuad, Taufikur Rahman and Mridha, M. F. and Fahad, Nafiz and Hossen, Md. Jakir}, title = {AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {552-561} }
SAM-SPJunc: Self-Prompting for Junction Detection in Retinal Images via Radius-Based Representations-
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[bibtex]@InProceedings{Attari_2025_ICCV, author = {Attari, Minasadat and Palaniappan, Kannappan and Bunyak, Filiz}, title = {SAM-SPJunc: Self-Prompting for Junction Detection in Retinal Images via Radius-Based Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {615-623} }