Title
MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction Shunjie-Fabian Zheng Hyeonjun Lee Thijs Kooi Ali Diba 80 0 0 30 Oct 2025
SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Jong Bum Won W. D. Neve J. Vankerschaver Utku Ozbulak 68 0 0 02 Oct 2025
Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models Suaiba Amina Salahuddin Teresa Dorszewski Marit Almenning Martiniussen Tone Hovda Antonio Portaluri Solveig Thrun Michael C. Kampffmeyer Elisabeth Wetzer Kristoffer Wickstrøm Robert Jenssen VLM 103 0 0 25 Sep 2025
Is ChatGPT-5 Ready for Mammogram VQA? Qiang Li Shansong Wang Mingzhe Hu Mojtaba Safari Zachary Eidex Xiaofeng Yang LM&MA 64 0 0 15 Aug 2025
Beyond Explainability: The Case for AI Validation Dalit Ken-Dror Feldman Daniel Benoliel 126 1 0 27 May 2025
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study Jungkyu Park Jan Witowski Yanqi Xu Hari M. Trivedi J. Gichoya ... Malte Westerhoff Linda Moy Laura Heacock Alana A. Lewin Krzysztof J. Geras 212 3 0 08 Apr 2025
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification D. Petrini Hae Yong Kim 178 0 0 25 Mar 2025
Integrating AI for Human-Centric Breast Cancer Diagnostics: A Multi-Scale and Multi-View Swin Transformer FrameworkInternational Conferences on Human-Machine Systems (ICCHS), 2025 Farnoush Bayatmakou Reza Taleei Milad Amir Toutounchian Arash Mohammadi 179 0 0 17 Mar 2025
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets H. Q. Vo Samira Zare S. Ly Lin Wang Chika F. Ezeana Xiaohui Yu Kelvin K. Wong Stephen T. C. Wong H. Nguyen OOD 147 0 0 09 Mar 2025
XFMamba: Cross-Fusion Mamba for Multi-View Medical Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Xiaoyu Zheng Xu Chen Shaogang Gong Xavier Griffin Greg Slabaugh Mamba 232 0 0 04 Mar 2025
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application Gonzalo Iñaki Quintana Laurence Vancamberg Vincent Jugnon Agnès Desolneux Mathilde Mougeot MedIm 281 2 0 28 Jan 2025
Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading with Cataract Fan Xiao Junlin Hou Ruiwei Zhao Rui Feng Haidong Zou Lina Lu Yongjun Xu Juzhao Zhang MedIm 109 1 0 01 Nov 2024
A training regime to learn unified representations from complementary breast imaging modalities Umang Sharma Jungkyu Park Laura Heacock S. Chopra Krzysztof Geras 93 0 0 16 Aug 2024
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions Huajun Zhou Fengtao Zhou Chenyu Zhao Yingxue Xu Luyang Luo Hao Chen 260 18 0 28 Jun 2024
Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography Xuxin Chen Yuheng Li Mingzhe Hu Ella Salari Xiaoqian Chen Richard L. J. Qiu Bin Zheng Xiaofeng Yang VLM 166 12 0 24 Apr 2024
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset Shadab Ahamed Yixi Xu I. Bloise J. O C. Uribe Rahul Dodhia J. L. Lavista Ferres Arman Rahmim 121 3 0 11 Mar 2024
Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms Jun Bai Annie Jin Madison Adams Clifford Yang S. Nabavi 174 0 0 28 Dec 2023
View it like a radiologist: Shifted windows for deep learning augmentation of CT imagesInternational Workshop on Machine Learning for Signal Processing (MLSP), 2023 E. A. Østmo Kristoffer Wickstrøm Keyur Radiya Michael C. Kampffmeyer Robert Jenssen OOD MedIm 223 4 0 25 Nov 2023
TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection Hoang C. Nguyen Chi Phan Hieu H. Pham 118 3 0 09 Nov 2023
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data Yiqiu Shen Jungkyu Park Frank Yeung Eliana Goldberg Laura Heacock Farah E. Shamout Krzysztof J. Geras 163 11 0 06 Nov 2023
Multi-view learning for automatic classification of multi-wavelength auroral imagesIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023 Qiuju Yang Hang Su Lili Liu Yixuan Wang Ze-Jun Hu 198 2 0 06 Nov 2023
Intelligent Breast Cancer Diagnosis with Heuristic-assisted Trans-Res-U-Net and Multiscale DenseNet using Mammogram Images Muhammad Yaqub Jinchao Feng 132 2 0 30 Oct 2023
Attention-Map Augmentation for Hypercomplex Breast Cancer ClassificationPattern Recognition Letters (PR), 2023 Eleonora Lopez Filippo Betello Federico Carmignani Eleonora Grassucci Danilo Comminiello 168 16 0 11 Oct 2023
Multi-task Explainable Skin Lesion Classification Mahapara Khurshid Mayank Vatsa Richa Singh 112 3 0 11 Oct 2023
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis Thanh-Huy Nguyen Q. Kha Thai Ngoc Toan Truong Ba Thinh Lam Ba-Hung Ngo Quang Vinh Dinh N. Le 107 18 0 07 Sep 2023
Delving into Ipsilateral Mammogram Assessment under Multi-View Network Thai Ngoc Toan Truong Thanh-Huy Nguyen Ba Thinh Lam Duy V.M. Nguyen Hong Phuc Nguyen 144 14 0 05 Sep 2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening Yijun Yang Shujun Wang Lihao Liu S. Hickman F. Gilbert Carola-Bibiane Schönlieb Angelica I. Aviles-Rivero 92 12 0 02 Aug 2023
Clinical Trial Active LearningACM International Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 2023 Zoe Fowler Kiran Kokilepersaud Mohit Prabhushankar Ghassan AlRegib 189 8 0 20 Jul 2023
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis Muhammad Osama Khan Yi Fang 160 4 0 20 Jul 2023
Systematic comparison of semi-supervised and self-supervised learning for medical image classificationComputer Vision and Pattern Recognition (CVPR), 2023 Zhe Huang Ruijie Jiang Shuchin Aeron M. C. Hughes SSL OOD 265 12 0 18 Jul 2023
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial LearningInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Xin Eric Wang Longxuan Zhao Yuan Gao Luyi Han Tianyu Zhang Chun-Fang Lu R. Beets-Tan Ruisheng Su R. Mann MedIm 91 7 0 06 Jul 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance LearningMachine Learning in Health Care (MLHC), 2023 Zhe Huang B. Wessler M. C. Hughes 423 8 0 25 May 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future DirectionsIEEE Reviews in Biomedical Engineering (RBME), 2023 Luyang Luo Xi Wang Yi Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 334 88 0 13 Apr 2023
RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement H. Yeoh Andre Liew Raphael Phan Fredrik Strand K. Rahmat T. Nguyen J. Hopper Maxine Tan MedIm 103 9 0 01 Apr 2023
Pretrained ViTs Yield Versatile Representations For Medical Images Christos Matsoukas Johan Fredin Haslum Magnus P Soderberg Kevin Smith MedIm ViT 229 15 0 13 Mar 2023
Learning Confident Classifiers in the Presence of Label NoiseSDM (SDM), 2023 Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 388 2 0 02 Jan 2023
Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus ImagesIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022 Junlin Hou Jilan Xu Fan Xiao Ruiwei Zhao Yuejie Zhang H. Zou Lina Lu Wenwen Xue Rui Feng MedIm 231 14 0 26 Nov 2022
Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance Mats L. Richter C. Pal 150 5 0 26 Nov 2022
Computer-Aided Cancer Diagnosis via Machine Learning and Deep Learning: A comparative review Solene Bechelli 152 5 0 19 Oct 2022
An efficient deep neural network to find small objects in large 3D images Jungkyu Park Jakub Chlkedowski Stanislaw Jastrzebski Jan Witowski Yan Xu ... Melanie Wegener Linda Moy Laura Heacock B. Reig Krzysztof J. Geras MedIm 150 1 0 16 Oct 2022
On the Influence of Cognitive Styles on Users' Understanding of ExplanationsInternational Conference on Interaction Sciences (ICIS), 2022 Lara Riefle Patrick Hemmer Carina Benz Michael Vossing Jannik Pries 176 7 0 05 Oct 2022
An Interactive Interpretability System for Breast Cancer Screening with Deep Learning Yuzhe Lu Adam Perer 117 3 0 30 Sep 2022
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Chong Wang Yuanhong Chen Yuyuan Liu Yu Tian Fengbei Liu Davis J. McCarthy M. Elliott Helen Frazer G. Carneiro 245 24 0 26 Sep 2022
Moving from 2D to 3D: volumetric medical image classification for rectal cancer stagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Joohyun Lee J. Oh Inkyu Shin You-sung Kim D. Sohn Tae-Sung Kim In So Kweon MedIm 103 5 0 13 Sep 2022
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest RadiographIEEE Access (IEEE Access), 2021 Hieu H. Pham H. Q. Nguyen H. T. Nguyen T. Le M. Dao MedIm 146 20 0 06 Aug 2022
Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions Tengfei Xue Fan Zhang Chaoyi Zhang Yuqian Chen Yang Song A. Golby N. Makris Yogesh Rathi Weidong (Tom) Cai L. O’Donnell 167 43 0 18 Jul 2022
Independent evaluation of state-of-the-art deep networks for mammography O. M. Velarde Lucas Parrra OOD 94 1 0 22 Jun 2022
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms Xuxin Chen Keqin Zhang Neman Abdoli Patrik W. Gilley Ximing Wang Hong Liu Bin Zheng Y. Qiu ViT MedIm 159 64 0 21 Jun 2022
Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical UtilizationScientific Reports (Sci Rep), 2022 Weiwei Zong Eric N Carver Simeng Zhu E. Schaff Daniel Chapman ... I. Chetty B. Movsas W. Wen Tarik K. Alafif X. Zong MedIm 85 4 0 13 Jun 2022
Robust and Efficient Medical Imaging with Self-Supervision Shekoofeh Azizi Laura J. Culp Jan Freyberg Basil Mustafa Sebastien Baur ... Geoffrey E. Hinton N. Houlsby Alan Karthikesalingam Mohammad Norouzi Vivek Natarajan OOD 187 69 0 19 May 2022