Computer Vision for Automated Medical Diagnosis
Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion-
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[supp]
[arXiv]
[bibtex]@InProceedings{Azad_2025_ICCV, author = {Azad, Md Abulkalam and Nyberg, John and Dalen, Havard and Grenne, Bj{\o}rnar and Lovstakken, Lasse and {\O}stvik, Andreas}, title = {Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1104-1113} }
Artifact Correction in Panoramic Radiographs using Deep De-shadowing-
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[bibtex]@InProceedings{Dan_2025_ICCV, author = {Dan, Omri and Lilek, Samuel and Hirschhorn, Ariel and Kats, Lazar and Kiryati, Nahum and Mayer, Arnaldo}, title = {Artifact Correction in Panoramic Radiographs using Deep De-shadowing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1008-1016} }
MPromer: A Unified Diffusion-Based Framework for Scalable and Generalizable Multi-Modal Medical Image Segmentation-
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[bibtex]@InProceedings{Al_Ghallabi_2025_ICCV, author = {Al Ghallabi, Wafa and Dudhane, Akshay and Zamir, Syed Waqas and Khan, Salman and Khan, Fahad Shahbaz}, title = {MPromer: A Unified Diffusion-Based Framework for Scalable and Generalizable Multi-Modal Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {919-927} }
From Cosmos to Clinic: Interpretable Spatial Statistics for Histopathology Prognosis-
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[bibtex]@InProceedings{Barna_2025_ICCV, author = {Barna, Attila and Kilim, Oz and Csabai, Istvan}, title = {From Cosmos to Clinic: Interpretable Spatial Statistics for Histopathology Prognosis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {911-918} }
UGPL: Uncertainty-Guided Progressive Learning for Evidence-Based Classification in Computed Tomography-
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[arXiv]
[bibtex]@InProceedings{Venkatraman_2025_ICCV, author = {Venkatraman, Shravan and S, Pavan and Madavan, Rakesh Raj and S, Chandrakala}, title = {UGPL: Uncertainty-Guided Progressive Learning for Evidence-Based Classification in Computed Tomography}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {958-968} }
Knowledge-Driven Query Network with Adaptive Cross-View Attention for Structured Radiology Report Generation-
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[bibtex]@InProceedings{Hou_2025_ICCV, author = {Hou, Xuege and Li, Yali and Wang, Shengjin}, title = {Knowledge-Driven Query Network with Adaptive Cross-View Attention for Structured Radiology Report Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1234-1243} }
Endonama: Graph Neural Networks based In-Silico Transcriptomics from Histology Whole Slide Images for Fertility Diagnostics-
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[bibtex]@InProceedings{Wright_2025_ICCV, author = {Wright, George and Brighton, Paul and Muter, Joanne and Brosens, Jan and Minhas, Fayyaz}, title = {Endonama: Graph Neural Networks based In-Silico Transcriptomics from Histology Whole Slide Images for Fertility Diagnostics}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {998-1007} }
Latent Gene Diffusion for Spatial Transcriptomics Completion-
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[bibtex]@InProceedings{Cardenas_2025_ICCV, author = {C\'ardenas, Paula and Manrique, Leonardo and Vega, Daniela and Ruiz, Daniela and Arbel\'aez, Pablo}, title = {Latent Gene Diffusion for Spatial Transcriptomics Completion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {901-910} }
BAMPolyp: Bi-Axial Mamba Bottleneck for Gastrointestinal Polyp Segmentation-
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[bibtex]@InProceedings{Islam_2025_ICCV, author = {Islam, Md. Farhadul and Ahmed, Tashik and Chanda, Partho and Mondal, Joyanta Jyoti and Manab, Meem Arafat and Zabeen, Sarah and Noor, Jannatun}, title = {BAMPolyp: Bi-Axial Mamba Bottleneck for Gastrointestinal Polyp Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1082-1092} }
Impact of Black-Box Adversarial Attacks on Deep Neural Networks for Skin Imaging-
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[bibtex]@InProceedings{Moniak_2025_ICCV, author = {Moniak, Bart{\l}omiej and Jaworek-Korjakowska, Joanna}, title = {Impact of Black-Box Adversarial Attacks on Deep Neural Networks for Skin Imaging}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1134-1142} }
MK-UNet: Multi-kernel Lightweight CNN for Medical Image Segmentation-
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[bibtex]@InProceedings{Rahman_2025_ICCV, author = {Rahman, Md Mostafijur and Marculescu, Radu}, title = {MK-UNet: Multi-kernel Lightweight CNN for Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1042-1051} }
L3Seg: Lean Linear Layers for Language-Guided Vision Transformer in Medical Image Segmentation-
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[bibtex]@InProceedings{Bhardwaj_2025_ICCV, author = {Bhardwaj, Rahul and Tambe, Utkarsh Yashwant and Neog, Debanga Raj}, title = {L3Seg: Lean Linear Layers for Language-Guided Vision Transformer in Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1244-1253} }
Multiplicative Loss for Enhancing Semantic Segmentation in Medical and Cellular Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yokoi_2025_ICCV, author = {Yokoi, Yuto and Hotta, Kazuhiro}, title = {Multiplicative Loss for Enhancing Semantic Segmentation in Medical and Cellular Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1273-1281} }
CARDIUM: Congenital Anomaly Recognition with Diagnostic Images and Unified Medical records-
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[bibtex]@InProceedings{Vega_2025_ICCV, author = {Vega, Daniela and Ceballos, Hannah V. and Vera, Javier S. and Rodriguez, Santiago and Perez, Alejandra and Castillo, Angela and Escobar, Maria and Londo\~no, Dario and Sarmiento, Luis A. and Castro, Camila I. and Rodriguez, Nadiezhda and Brice\~no, Juan C. and Arbelaez, Pablo}, title = {CARDIUM: Congenital Anomaly Recognition with Diagnostic Images and Unified Medical records}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1193-1202} }
Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses-
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[arXiv]
[bibtex]@InProceedings{Kaczmarek_2025_ICCV, author = {Kaczmarek, Emily and Szeto, Justin and Nichyporuk, Brennan and Arbel, Tal}, title = {Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1310-1319} }
Automated Assessment of Aesthetic Outcomes in Facial Plastic Surgery-
[pdf]
[arXiv]
[bibtex]@InProceedings{Varghaei_2025_ICCV, author = {Varghaei, Pegah and Abraham-Aggarwal, Kiran and Abraham, Manoj T. and Ross, Arun}, title = {Automated Assessment of Aesthetic Outcomes in Facial Plastic Surgery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {928-937} }
QPolypNet: A Quantum-Inspired Deep Learning Model for Polyp Segmentation-
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[supp]
[bibtex]@InProceedings{Islam_2025_ICCV, author = {Islam, Md Majedul and Akash, Rashik Shahriar and Azim, Sayed Mehedi and He, Selena}, title = {QPolypNet: A Quantum-Inspired Deep Learning Model for Polyp Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {969-978} }
Increasing the Classification Rates of the Trained Models using Invariant Dataset Augmentation-
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[bibtex]@InProceedings{Milczarski_2025_ICCV, author = {Milczarski, Piotr}, title = {Increasing the Classification Rates of the Trained Models using Invariant Dataset Augmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1072-1081} }
Weakly Supervised Intracranial Aneurysm Detection and Segmentation in MR angiography via Multi-task UNet with Vesselness Prior-
[pdf]
[arXiv]
[bibtex]@InProceedings{Rainville_2025_ICCV, author = {Rainville, Erin and Rasoulian, Amirhossein and Rivaz, Hassan and Xiao, Yiming}, title = {Weakly Supervised Intracranial Aneurysm Detection and Segmentation in MR angiography via Multi-task UNet with Vesselness Prior}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {938-947} }
CECT-Mamba: a Hierarchical Contrast-enhanced-aware Model for Pancreatic Tumor Subtyping from Multi-phase CECT-
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[bibtex]@InProceedings{Gong_2025_ICCV, author = {Gong, Zhifang and Gao, Shuo and Zhao, Ben and Xu, Yingjing and Yang, Yijun and Ju, Shenghong and Zhou, Guangquan}, title = {CECT-Mamba: a Hierarchical Contrast-enhanced-aware Model for Pancreatic Tumor Subtyping from Multi-phase CECT}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1161-1171} }
MedBLINK: Probing Visual Perception in Multimodal Language Models for Medicine-
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[bibtex]@InProceedings{Bigverdi_2025_ICCV, author = {Bigverdi, Mahtab and Ikezogwo, Wisdom and Zhang, Kevin and Jeong, Hyewon and Lu, Mingyu and Cho, Sungjae and Shapiro, Linda and Krishna, Ranjay}, title = {MedBLINK: Probing Visual Perception in Multimodal Language Models for Medicine}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1223-1233} }
SurGen-Net: A Generative Approach for Surgical VQA with Structured Text Generation-
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[bibtex]@InProceedings{Jeon_2025_ICCV, author = {Jeon, Yongjun and Park, Seonmin and Shin, Jongmin and Park, Kanggil and Kim, Bogeun and Oh, Namkee and Jung, Kyu-Hwan}, title = {SurGen-Net: A Generative Approach for Surgical VQA with Structured Text Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1292-1299} }
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics-
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[supp]
[arXiv]
[bibtex]@InProceedings{Gindra_2025_ICCV, author = {Gindra, Rushin H and Palla, Giovanni and Nguyen, Mathias and Wagner, Sophia J. and Tran, Manuel and Theis, Fabian J and Saur, Dieter and Crawford, Lorin and Peng, Tingying}, title = {A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1182-1192} }
Render2Seg: Landmark-Guided Patch-wise Segmentation for Robust 3D Dental Mesh Analysis-
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[supp]
[bibtex]@InProceedings{Lee_2025_ICCV, author = {Lee, Sena and Kim, Geunhye and Jin, YongKyu and Yang, Sejung}, title = {Render2Seg: Landmark-Guided Patch-wise Segmentation for Robust 3D Dental Mesh Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1052-1061} }
MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction-
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[bibtex]@InProceedings{Zheng_2025_ICCV, author = {Zheng, Shunjie-Fabian and Lee, Hyeonjun and Kooi, Thijs and Diba, Ali}, title = {MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1213-1222} }
MedSAM-Guided Curriculum Learning for White Matter Tract Segmentation in Block Face Imaging of Fetal Brain-
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[bibtex]@InProceedings{Shibu_2025_ICCV, author = {Shibu, Athira Kalladayil and Ramanarayanan, Sriprabha and Kanna, Vinoth and Jayakumar, Jaikishan and Ram, Keerthi and Sivaprakasam, Mohanasankar}, title = {MedSAM-Guided Curriculum Learning for White Matter Tract Segmentation in Block Face Imaging of Fetal Brain}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1034-1041} }
Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease-
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[bibtex]@InProceedings{Sharshar_2025_ICCV, author = {Sharshar, Ahmed and Ashraf, Yasser and Bakr, Tameem and Hassan, Salma and Elgendy, Hosam and Yaqub, Mohammad and Guizani, Mohsen}, title = {Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1300-1309} }
Dual-LVT: A Dual Attention Language-Vision Transformer for Tumor Segmentation-
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[bibtex]@InProceedings{Zhang_2025_ICCV, author = {Zhang, Shiman and Zheng, Songzhu and Ma, Ming}, title = {Dual-LVT: A Dual Attention Language-Vision Transformer for Tumor Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1172-1181} }
Efficient Self-Supervised Adaptation for Medical Image Analysis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sorkhei_2025_ICCV, author = {Sorkhei, Moein and Konuk, Emir and Guo, Jingyu and Meng, Chanjuan and Matsoukas, Christos and Smith, Kevin}, title = {Efficient Self-Supervised Adaptation for Medical Image Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {873-880} }
Comparison of Digital Histology AI Models with Low-Dimensional Genomic and Clinical Models in Survival Modeling for Prostate Cancer-
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[supp]
[bibtex]@InProceedings{McLoughlin_2025_ICCV, author = {McLoughlin, Aidan and Ho, Ho Yin and Zhao, Xin and Hakansson, Alexander Karl and Moradi, Alireza and Xu, Qi Joslove and Liu, Yang}, title = {Comparison of Digital Histology AI Models with Low-Dimensional Genomic and Clinical Models in Survival Modeling for Prostate Cancer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {881-891} }
Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kriz_2025_ICCV, author = {Kriz, Anita and Janes, Elizabeth Laura and Shen, Xing and Arbel, Tal}, title = {Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1320-1329} }
Unsupervised Domain Adaptation via Content Alignment for Hippocampus Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kalabizadeh_2025_ICCV, author = {Kalabizadeh, Hoda and Griffanti, Ludovica and Yeung, Pak-Hei and Namburete, Ana I. L. and Dinsdale, Nicola K. and Kamnitsas, Konstantinos}, title = {Unsupervised Domain Adaptation via Content Alignment for Hippocampus Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1093-1103} }
Breast Cancer Detection with Topological Deep Learning-
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[supp]
[bibtex]@InProceedings{Nuwagira_2025_ICCV, author = {Nuwagira, Brighton and Rodriguez, Adrian and Li, Qiwei and Coskunuzer, Baris}, title = {Breast Cancer Detection with Topological Deep Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {987-997} }
CytoDiff: AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Boada_2025_ICCV, author = {Boada, Jan Carreras and Umer, Rao Muhammad and Marr, Carsten}, title = {CytoDiff: AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1125-1133} }
TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound-
[pdf]
[bibtex]@InProceedings{Spiegler_2025_ICCV, author = {Spiegler, Pascal and Koleilat, Taha and Harirpoush, Arash and Miller, Corey S. and Rivaz, Hassan and Kersten-Oertel, Marta and Xiao, Yiming}, title = {TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {948-957} }
Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities-
[pdf]
[arXiv]
[bibtex]@InProceedings{Das_2025_ICCV, author = {Das, Anindya Bijoy and Sakib, Shahnewaz Karim and Ahmed, Shibbir}, title = {Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1265-1272} }
Unsupervised Nuclei Segmentation by Improving Pseudo Labels from Segment Anything Model-
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[bibtex]@InProceedings{Nakai_2025_ICCV, author = {Nakai, Ryota and Hotta, Kazuhiro}, title = {Unsupervised Nuclei Segmentation by Improving Pseudo Labels from Segment Anything Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1025-1033} }
Enhancing the Reliability of Auto-Prompting SAM for Medical Image Segmentation with Uncertainty Estimation and Rectification-
[pdf]
[bibtex]@InProceedings{Zhang_2025_ICCV, author = {Zhang, Yichi and Hu, Shiyao and Xue, Le and Ren, Sijie and Hu, Zixin and Cheng, Yuan and Qi, Yuan}, title = {Enhancing the Reliability of Auto-Prompting SAM for Medical Image Segmentation with Uncertainty Estimation and Rectification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1282-1291} }
A Dynamic Agent Framework for Large Language Model Reasoning for Medical and Visual Question Answering-
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[supp]
[bibtex]@InProceedings{Xiao_2025_ICCV, author = {Xiao, Ziyan and Zhang, Ruiyang and Feng, Yushi and Zhu, Lingting and Peng, Liang and Yu, Lequan}, title = {A Dynamic Agent Framework for Large Language Model Reasoning for Medical and Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1143-1152} }
PMC-Vid: A Large-Scale Biomedical Video Captioning Dataset-
[pdf]
[bibtex]@InProceedings{Yamagishi_2025_ICCV, author = {Yamagishi, Yosuke and Saito, Kuniaki and Hashimoto, Atsushi and Ushiku, Yoshitaka}, title = {PMC-Vid: A Large-Scale Biomedical Video Captioning Dataset}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1254-1264} }
MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kumar_2025_ICCV, author = {Kumar, Gurucharan Marthi Krishna and Chadha, Aman and Mendola, Janine D. and Shmuel, Amir}, title = {MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1114-1124} }
Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Moradinasab_2025_ICCV, author = {Moradinasab, Nazanin and Sengupta, Saurav and Liu, Jiebei and Syed, Sana and Brown, Donald E.}, title = {Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1203-1212} }
Autoregressive-Conditioned Diffusion for Semi-Supervised Thyroid Ultrasound Segmentation with Optical Flow-Based Pseudo Labels-
[pdf]
[bibtex]@InProceedings{Liu_2025_ICCV, author = {Liu, Xiaorui and Yang, Yijun and Xu, Yingjing and Zhu, Lei}, title = {Autoregressive-Conditioned Diffusion for Semi-Supervised Thyroid Ultrasound Segmentation with Optical Flow-Based Pseudo Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1340-1350} }
Generative Counterfactual Augmentation for Bias Mitigation-
[pdf]
[bibtex]@InProceedings{Uwaeze_2025_ICCV, author = {Uwaeze, Jason and Kulkarni, Pranav and Braverman, Vladimir and Jacobs, Michael A. and Parekh, Vishwa S.}, title = {Generative Counterfactual Augmentation for Bias Mitigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1153-1160} }
GADA: Graph Attention-based Detection Aggregation for Ultrasound Video Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2025_ICCV, author = {Chen, Li and Balaraju, Naveen and Kruecker, Jochen and Raju, Balasundar I. and Chen, Alvin}, title = {GADA: Graph Attention-based Detection Aggregation for Ultrasound Video Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {892-900} }
Diffusion-Based Data Augmentation for Medical Image Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Nazir_2025_ICCV, author = {Nazir, Maham and Aqeel, Muhammad and Setti, Francesco}, title = {Diffusion-Based Data Augmentation for Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1330-1339} }
Unsupervised Abnormality Segmentation in Chest CT with Anatomy-Guided Latent Diffusion Model and Adaptive Thresholding-
[pdf]
[bibtex]@InProceedings{Guo_2025_ICCV, author = {Guo, Xueqi and Shinagawa, Yoshihisa and Farhand, Sepehr and Yerebakan, Halid and Iyer, Kritika and Wolf, Matthias and Valadez, Gerardo Hermosillo}, title = {Unsupervised Abnormality Segmentation in Chest CT with Anatomy-Guided Latent Diffusion Model and Adaptive Thresholding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1017-1024} }
EchoNet-Quality: Denoising Echocardiograms via Deep Generative Modeling of Ultrasound Noise-
[pdf]
[bibtex]@InProceedings{Choi_2025_ICCV, author = {Choi, David and Vukadinovic, Milos and He, Bryan and Binder, Christina and Sahashi, Yuki and Ouyang, David}, title = {EchoNet-Quality: Denoising Echocardiograms via Deep Generative Modeling of Ultrasound Noise}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {979-986} }
DCEtriformer: A Hybrid Attention Transformer for DCE-MRI Synthesis in Prostate Imaging-
[pdf]
[bibtex]@InProceedings{S_2025_ICCV, author = {S, Sadhana and Ramanarayanan, Sriprabha and Kumar, Kishore and Ram, Keerthi and Agarwal, Harsh and Venkatesan, Ramesh and Sivaprakasam, Mohanasankar}, title = {DCEtriformer: A Hybrid Attention Transformer for DCE-MRI Synthesis in Prostate Imaging}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {1062-1071} }