CVPR 2026 Open Access Repository

PHAROS AI Factory for Medical Imaging & Healthcare

A Robust Spatial-Temporal Multitask Deep Learning Pipeline to Predict CT Perfusion Parameters: Boan Zhu,

Bohuai Wu,

Elizabeth Tong,

S.-H. Gary Chan; [pdf]
[bibtex]
@InProceedings{Zhu_2026_CVPR, author = {Zhu, Boan and Wu, Bohuai and Tong, Elizabeth and Chan, S.-H. Gary}, title = {A Robust Spatial-Temporal Multitask Deep Learning Pipeline to Predict CT Perfusion Parameters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6485-6494} }
Anomaly-Driven Prompting for Label-Free Skin Lesion Segmentation Using Foundation Models: Mulham Fawakherji,

Sapthak Mohajon Turjya; [pdf]
[bibtex]
@InProceedings{Fawakherji_2026_CVPR, author = {Fawakherji, Mulham and Turjya, Sapthak Mohajon}, title = {Anomaly-Driven Prompting for Label-Free Skin Lesion Segmentation Using Foundation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6186-6192} }
Phase-map synthesis from magnitude-only MR images using conditional score-based diffusion models with application in training of accelerated MRI reconstruction models: M. Berk Sahin,

Dilek Yalcinkaya,

Abolfazl Hashemi,

Behzad Sharif; [pdf] [arXiv]
[bibtex]
@InProceedings{Sahin_2026_CVPR, author = {Sahin, M. Berk and Yalcinkaya, Dilek and Hashemi, Abolfazl and Sharif, Behzad}, title = {Phase-map synthesis from magnitude-only MR images using conditional score-based diffusion models with application in training of accelerated MRI reconstruction models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6349-6357} }
ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows: Alvaro Lopez Pellicer,

Plamen Angelov,

Marwan Bukhari,

Yi Li,

Eduardo Soares,

Jemma Kerns; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pellicer_2026_CVPR, author = {Pellicer, Alvaro Lopez and Angelov, Plamen and Bukhari, Marwan and Li, Yi and Soares, Eduardo and Kerns, Jemma}, title = {ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6275-6284} }
Medical Vision-Language Models for Robust Disease Diagnosis: Ali Algumaei,

Wassim Bouachir,

Nizar Bouguila; [pdf]
[bibtex]
@InProceedings{Algumaei_2026_CVPR, author = {Algumaei, Ali and Bouachir, Wassim and Bouguila, Nizar}, title = {Medical Vision-Language Models for Robust Disease Diagnosis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6104-6113} }
Cross-Modal Knowledge Distillation for PET-Free Amyloid-Beta Detection from MRI: Francesco Chiumento,

Julia Dietlmeier,

Ronan P. Killeen,

Kathleen M. Curran,

Noel E. O'Connor,

Mingming Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chiumento_2026_CVPR, author = {Chiumento, Francesco and Dietlmeier, Julia and Killeen, Ronan P. and Curran, Kathleen M. and O'Connor, Noel E. and Liu, Mingming}, title = {Cross-Modal Knowledge Distillation for PET-Free Amyloid-Beta Detection from MRI}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6164-6175} }
Unpaired-to-Paired Data Synthesis: Learning to Model Disease Effects via Contrastive Analysis of Neuroimaging-derived Features: Sai Spandana Chintapalli,

Pratik Chaudhari,

Christos Davatzikos; [pdf]
[bibtex]
@InProceedings{Chintapalli_2026_CVPR, author = {Chintapalli, Sai Spandana and Chaudhari, Pratik and Davatzikos, Christos}, title = {Unpaired-to-Paired Data Synthesis: Learning to Model Disease Effects via Contrastive Analysis of Neuroimaging-derived Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6157-6163} }
Debiasing Ultrasound Video Learning via Motion-Aware State-Space Modeling: Richa Thakur,

Chetan Arora,

Aditya Nigam; [pdf]
[bibtex]
@InProceedings{Thakur_2026_CVPR, author = {Thakur, Richa and Arora, Chetan and Nigam, Aditya}, title = {Debiasing Ultrasound Video Learning via Motion-Aware State-Space Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6389-6398} }
Continual Learning in 3D Vision: Mitigating Catastrophic Forgetting and Domain Shift via Deep Latent Adapters and Covariate-Guided Fusion: Paraskevi-Antonia Theofilou,

Paraskevi Tzouveli,

Stefanos Kollias; [pdf]
[bibtex]
@InProceedings{Theofilou_2026_CVPR, author = {Theofilou, Paraskevi-Antonia and Tzouveli, Paraskevi and Kollias, Stefanos}, title = {Continual Learning in 3D Vision: Mitigating Catastrophic Forgetting and Domain Shift via Deep Latent Adapters and Covariate-Guided Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6408-6417} }
CrossStream-Seg: A Cross-Guided Two-Stream Learning for Boundary-Sensitive ROI Segmentation: Nasir Rahim,

Muzammal Shafique,

Ghaus Malik,

Khalid Malik; [pdf]
[bibtex]
@InProceedings{Rahim_2026_CVPR, author = {Rahim, Nasir and Shafique, Muzammal and Malik, Ghaus and Malik, Khalid}, title = {CrossStream-Seg: A Cross-Guided Two-Stream Learning for Boundary-Sensitive ROI Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6319-6327} }
PHAROS-AIF-MIH: Transparent and Secure Use of AI in Medical Imaging and Healthcare: Dimitrios Kollias,

Anastasios Arsenos,

Stefanos Kollias; [pdf]
[bibtex]
@InProceedings{Kollias_2026_CVPR, author = {Kollias, Dimitrios and Arsenos, Anastasios and Kollias, Stefanos}, title = {PHAROS-AIF-MIH: Transparent and Secure Use of AI in Medical Imaging and Healthcare}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6256-6264} }
A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans: Bhavesh Thapar,

Anant Agrawal,

Aadit Nilay,

Mohammad Nayeem Teli; [pdf] [arXiv]
[bibtex]
@InProceedings{Thapar_2026_CVPR, author = {Thapar, Bhavesh and Agrawal, Anant and Nilay, Aadit and Teli, Mohammad Nayeem}, title = {A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6399-6407} }
Genetically-influenced multi-scale brain organization via self-supervised learning: Marilena De Pian,

Junhao Wen,

Christos Davatzikos; [pdf]
[bibtex]
@InProceedings{De_Pian_2026_CVPR, author = {De Pian, Marilena and Wen, Junhao and Davatzikos, Christos}, title = {Genetically-influenced multi-scale brain organization via self-supervised learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6176-6185} }
EntroMix: Clinically-Aware Self-Paced Generative Augmentation for Imbalanced Medical Image Classification: Ritik Kumar,

Habibur Rahaman,

Sumit Kumar Jha,

Debasmita Saha,

Soumen Basu,

Hafizur Rahaman; [pdf]
[bibtex]
@InProceedings{Kumar_2026_CVPR, author = {Kumar, Ritik and Rahaman, Habibur and Jha, Sumit Kumar and Saha, Debasmita and Basu, Soumen and Rahaman, Hafizur}, title = {EntroMix: Clinically-Aware Self-Paced Generative Augmentation for Imbalanced Medical Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6265-6274} }
Can We Go Beyond Visual Features? Neural Tissue Relation Modeling for Relational Graph Analysis in Non-Melanoma Skin Histology: Shravan Venkatraman,

Muthu Subash Kavitha,

Joe Dhanith P R,

V Manikandarajan,

Jia Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Venkatraman_2026_CVPR, author = {Venkatraman, Shravan and Kavitha, Muthu Subash and R, Joe Dhanith P and Manikandarajan, V and Wu, Jia}, title = {Can We Go Beyond Visual Features? Neural Tissue Relation Modeling for Relational Graph Analysis in Non-Melanoma Skin Histology}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6427-6437} }
OPBNet: Oscillatory Phase-Binding Networks for Interpretable Zero-Shot Medical Visual Reasoning Without Pretraining: Ayan Sar,

Pranav Singh Puri,

Sumit Aich,

Sampurna Roy,

Tanupriya Choudhury,

Ajith Abraham; [pdf] [supp]
[bibtex]
@InProceedings{Sar_2026_CVPR, author = {Sar, Ayan and Puri, Pranav Singh and Aich, Sumit and Roy, Sampurna and Choudhury, Tanupriya and Abraham, Ajith}, title = {OPBNet: Oscillatory Phase-Binding Networks for Interpretable Zero-Shot Medical Visual Reasoning Without Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6358-6366} }
ARAN: Leveraging Foundation Models for Vasculature-Tree-Informed ARtery-Aware Intracranial ANeurysm Detection in 3D CTA and ToF-MRA: Muzammal Shafique,

Nasir Rahim,

Muhammad Saad Saeed,

Ghous Malik,

Khalid Malik; [pdf]
[bibtex]
@InProceedings{Shafique_2026_CVPR, author = {Shafique, Muzammal and Rahim, Nasir and Saeed, Muhammad Saad and Malik, Ghous and Malik, Khalid}, title = {ARAN: Leveraging Foundation Models for Vasculature-Tree-Informed ARtery-Aware Intracranial ANeurysm Detection in 3D CTA and ToF-MRA}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6367-6376} }
Halfway to 3D: Ensembling 2.5D and 3D Models for Robust COVID-19 CT Diagnosis: Tuan-Anh Yang,

Bao V. Q. Bui,

Chanh-Quang Vo-Van,

Truong-Son Hy; [pdf]
[bibtex]
@InProceedings{Yang_2026_CVPR, author = {Yang, Tuan-Anh and Bui, Bao V. Q. and Vo-Van, Chanh-Quang and Hy, Truong-Son}, title = {Halfway to 3D: Ensembling 2.5D and 3D Models for Robust COVID-19 CT Diagnosis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6459-6465} }
FAM-Match: Fractal-Aligned Manifold Matching with Adaptive Routing Framework for Semi-Supervised Medical Image Classification: Soumyajit Gayen,

Utathya Aich,

Dmitrii Minenkov,

Dmitrii Kaplun,

Ram Sarkar; [pdf]
[bibtex]
@InProceedings{Gayen_2026_CVPR, author = {Gayen, Soumyajit and Aich, Utathya and Minenkov, Dmitrii and Kaplun, Dmitrii and Sarkar, Ram}, title = {FAM-Match: Fractal-Aligned Manifold Matching with Adaptive Routing Framework for Semi-Supervised Medical Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6193-6201} }
Clinical Priors Guided Lung Disease Detection in 3D CT Scans: Kejin Lu,

Jianfa Bai,

Qingqiu Li,

Runtian Yuan,

Jilan Xu,

Junlin Hou,

Yuejie Zhang,

Rui Feng; [pdf] [arXiv]
[bibtex]
@InProceedings{Lu_2026_CVPR, author = {Lu, Kejin and Bai, Jianfa and Li, Qingqiu and Yuan, Runtian and Xu, Jilan and Hou, Junlin and Zhang, Yuejie and Feng, Rui}, title = {Clinical Priors Guided Lung Disease Detection in 3D CT Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6285-6292} }
Multimodal Abnormality Classifier Using Anatomy-Guided Connection for 3D Medical Images: M. Berk Sahin,

Yoshihisa Shinagawa,

Halid Ziya Yerebakan,

Abolfazl Hashemi,

Behzad Sharif,

Gerardo Hermosillo; [pdf]
[bibtex]
@InProceedings{Sahin_2026_CVPR, author = {Sahin, M. Berk and Shinagawa, Yoshihisa and Yerebakan, Halid Ziya and Hashemi, Abolfazl and Sharif, Behzad and Hermosillo, Gerardo}, title = {Multimodal Abnormality Classifier Using Anatomy-Guided Connection for 3D Medical Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6338-6348} }
Learning What To Ask For When: Image Ordering for In-Context Interactive Medical Image Segmentation: Gianna Torpey,

John Guttag,

Hallee E. Wong; [pdf] [supp]
[bibtex]
@InProceedings{Torpey_2026_CVPR, author = {Torpey, Gianna and Guttag, John and Wong, Hallee E.}, title = {Learning What To Ask For When: Image Ordering for In-Context Interactive Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6418-6426} }
A comparison study between a machine learning model for breast cancer detection in ultrasound images and a manifold based classification of breast cancerous forms: Theodoros Karagiannis,

Georgios Karagiannis,

Aikaterini Skouroliakou,

Elias Zois; [pdf]
[bibtex]
@InProceedings{Karagiannis_2026_CVPR, author = {Karagiannis, Theodoros and Karagiannis, Georgios and Skouroliakou, Aikaterini and Zois, Elias}, title = {A comparison study between a machine learning model for breast cancer detection in ultrasound images and a manifold based classification of breast cancerous forms}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6239-6247} }
Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?: Anam Hashmi,

Mayug Maniparambil,

Julia Dietlmeier,

Kathleen M Curran,

Noel E O'Connor; [pdf] [arXiv]
[bibtex]
@InProceedings{Hashmi_2026_CVPR, author = {Hashmi, Anam and Maniparambil, Mayug and Dietlmeier, Julia and Curran, Kathleen M and E O'Connor, Noel}, title = {Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6202-6211} }
Temporal M-Protein Trajectory Phenotyping and Progression Risk Prediction in Monoclonal Gammopathies via Multivariate Longitudinal Machine Learning: Akshath Sharma,

Tanush Shastry; [pdf]
[bibtex]
@InProceedings{Sharma_2026_CVPR, author = {Sharma, Akshath and Shastry, Tanush}, title = {Temporal M-Protein Trajectory Phenotyping and Progression Risk Prediction in Monoclonal Gammopathies via Multivariate Longitudinal Machine Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6377-6382} }
Hierarchical Uncertainty-Aware Deep Simplex Classification for Open-Set Medical Image Recognition: Amirreza Khoshbakht,

Erchan Aptoula; [pdf]
[bibtex]
@InProceedings{Khoshbakht_2026_CVPR, author = {Khoshbakht, Amirreza and Aptoula, Erchan}, title = {Hierarchical Uncertainty-Aware Deep Simplex Classification for Open-Set Medical Image Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6248-6255} }
Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes: Athanasios Angelakis,

Marta Gomez-Barrero; [pdf]
[bibtex]
@InProceedings{Angelakis_2026_CVPR, author = {Angelakis, Athanasios and Gomez-Barrero, Marta}, title = {Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6114-6122} }
One-Shot Medical Image Segmentation via Error-driven Spatial Weighting Boosting: Takuma Ozaki,

Kazuhito Hotta; [pdf]
[bibtex]
@InProceedings{Ozaki_2026_CVPR, author = {Ozaki, Takuma and Hotta, Kazuhito}, title = {One-Shot Medical Image Segmentation via Error-driven Spatial Weighting Boosting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6293-6302} }
SAM for Robust Mitochondria Instance Segmentation in Fluorescence Microscopy: Suyog Jadhav,

Dilip K. Prasad,

Krishna Agarwal; [pdf]
[bibtex]
@InProceedings{Jadhav_2026_CVPR, author = {Jadhav, Suyog and Prasad, Dilip K. and Agarwal, Krishna}, title = {SAM for Robust Mitochondria Instance Segmentation in Fluorescence Microscopy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6212-6220} }
A Human-in-the-Loop Framework for Efficient Prompt Selection in Microscopy Vision-Language Models: Abhiram Kandiyana,

Ankur Mali,

Lawrence O. Hall,

Peter R. Mouton,

Dmitry Goldgof; [pdf] [arXiv]
[bibtex]
@InProceedings{Kandiyana_2026_CVPR, author = {Kandiyana, Abhiram and Mali, Ankur and Hall, Lawrence O. and Mouton, Peter R. and Goldgof, Dmitry}, title = {A Human-in-the-Loop Framework for Efficient Prompt Selection in Microscopy Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6229-6238} }
Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models: Jialin Wu,

Qianru Zhang,

Georges El Fakhri,

Xiaofeng Liu; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2026_CVPR, author = {Wu, Jialin and Zhang, Qianru and El Fakhri, Georges and Liu, Xiaofeng}, title = {Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6448-6458} }
Geometry-Aware Coreset Selection and Perceptual-Constrained Adversarial Attacks for Efficient and Robust Medical Imaging: Tushar Shinde; [pdf]
[bibtex]
@InProceedings{Shinde_2026_CVPR, author = {Shinde, Tushar}, title = {Geometry-Aware Coreset Selection and Perceptual-Constrained Adversarial Attacks for Efficient and Robust Medical Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6383-6388} }
Few-Shot Joint Segmentation and Classification of Lung Nodules in CT with Self-Supervised Correlation Transformers: Mohammad Asifur Rahim,

Muhammad Awais,

Mufti Mahmud; [pdf]
[bibtex]
@InProceedings{Rahim_2026_CVPR, author = {Rahim, Mohammad Asifur and Awais, Muhammad and Mahmud, Mufti}, title = {Few-Shot Joint Segmentation and Classification of Lung Nodules in CT with Self-Supervised Correlation Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6328-6337} }
Machine Learning enabled Breast Cancer Multidisciplinary Team Treatment Planner: Kofi Appiah,

Emmanuel Amankwaa-Frempong,

Yaw B Mensah,

Joe-Nat Clegg-Lamptey,

Patrick Akakpo,

Bernard K Seshie,

Sze Chai Kwok; [pdf]
[bibtex]
@InProceedings{Appiah_2026_CVPR, author = {Appiah, Kofi and Amankwaa-Frempong, Emmanuel and Mensah, Yaw B and Clegg-Lamptey, Joe-Nat and Akakpo, Patrick and Seshie, Bernard K and Kwok, Sze Chai}, title = {Machine Learning enabled Breast Cancer Multidisciplinary Team Treatment Planner}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6123-6130} }
Do XAI Metrics Agree in Digital Pathology? A Cross-Dataset Study of Explainer Evaluation in Clinically Relevant Histology Models: Aishwarya Budhkar,

Trishita Dhara; [pdf] [supp]
[bibtex]
@InProceedings{Budhkar_2026_CVPR, author = {Budhkar, Aishwarya and Dhara, Trishita}, title = {Do XAI Metrics Agree in Digital Pathology? A Cross-Dataset Study of Explainer Evaluation in Clinically Relevant Histology Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6140-6149} }
Machine Learning-Based Localization of Point Sources in Photon Scattering Medical Imaging: Fengyuan Ye,

Marta Vallejo; [pdf]
[bibtex]
@InProceedings{Ye_2026_CVPR, author = {Ye, Fengyuan and Vallejo, Marta}, title = {Machine Learning-Based Localization of Point Sources in Photon Scattering Medical Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6466-6474} }
Physics-Grounded Interpretable Semi-Supervised Medical Image Segmentation via Annotation-Free Structure Tensor Regularization: Jiahui Zheng,

Yan Chen; [pdf] [supp]
[bibtex]
@InProceedings{Zheng_2026_CVPR, author = {Zheng, Jiahui and Chen, Yan}, title = {Physics-Grounded Interpretable Semi-Supervised Medical Image Segmentation via Annotation-Free Structure Tensor Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6475-6484} }
Scaling In-Context Segmentation with Hierarchical Supervision: Tidiane Camaret Ndir,

Marco Reisert,

Robin T. Schirrmeister; [pdf] [arXiv]
[bibtex]
@InProceedings{Ndir_2026_CVPR, author = {Ndir, Tidiane Camaret and Reisert, Marco and Schirrmeister, Robin T.}, title = {Scaling In-Context Segmentation with Hierarchical Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6150-6156} }
Few-Shot Learning based Multimodal Skin Lesion Classification: Saptarshi Pani,

Ananya Saha,

Aleksandr Sinitca,

Dmitrii Kaplun,

Ram Sarkar; [pdf]
[bibtex]
@InProceedings{Pani_2026_CVPR, author = {Pani, Saptarshi and Saha, Ananya and Sinitca, Aleksandr and Kaplun, Dmitrii and Sarkar, Ram}, title = {Few-Shot Learning based Multimodal Skin Lesion Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6303-6312} }
Vision-Language Model Based Multi-Expert Fusion for CT Image Classification: Jianfa Bai,

Kejin Lu,

Runtian Yuan,

Qingqiu Li,

Jilan Xu,

Junlin Hou,

Yuejie Zhang,

Rui Feng; [pdf] [arXiv]
[bibtex]
@InProceedings{Bai_2026_CVPR, author = {Bai, Jianfa and Lu, Kejin and Yuan, Runtian and Li, Qingqiu and Xu, Jilan and Hou, Junlin and Zhang, Yuejie and Feng, Rui}, title = {Vision-Language Model Based Multi-Expert Fusion for CT Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6131-6139} }
Parameter Efficient Fine-tuning for Domain-specific Gastrointestinal Disease Recognition: Sanjaya Poudel,

Nikita Kunwor,

Raj Simkhada,

Mustafa Munir,

Manish Dhakal,

Khem Poudel; [pdf] [arXiv]
[bibtex]
@InProceedings{Poudel_2026_CVPR, author = {Poudel, Sanjaya and Kunwor, Nikita and Simkhada, Raj and Munir, Mustafa and Dhakal, Manish and Poudel, Khem}, title = {Parameter Efficient Fine-tuning for Domain-specific Gastrointestinal Disease Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6313-6318} }
IonMorphNet: Generalizable Learning of Ion Image Morphologies for Peak Picking in Mass Spectrometry Imaging: Philipp Weigand,

Niels Nawrot,

Nikolas Ebert,

Carsten Hopf,

Oliver Wasenmüller; [pdf] [arXiv]
[bibtex]
@InProceedings{Weigand_2026_CVPR, author = {Weigand, Philipp and Nawrot, Niels and Ebert, Nikolas and Hopf, Carsten and Wasenm\"uller, Oliver}, title = {IonMorphNet: Generalizable Learning of Ion Image Morphologies for Peak Picking in Mass Spectrometry Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6438-6447} }
Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation: Samuel Johnny,

Blessed Guda,

Goodness Obasi,

Aaron Emmanuel,

Moise Busogi; [pdf] [arXiv]
[bibtex]
@InProceedings{Johnny_2026_CVPR, author = {Johnny, Samuel and Guda, Blessed and Obasi, Goodness and Emmanuel, Aaron and Busogi, Moise}, title = {Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6221-6228} }