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Eclinicalmedicine|July 29, 2025
Exploring personalized neoadjuvant therapy selection strategies in breast cancer: an explainable multi-modal response modelLuyi Han, Tianyu Zhang, Anna D'Angelo, et al.
Radiology. Artificial Intelligence|December 17, 2025
Visualizing Radiologic Connections: An Explainable Coarse-to-Fine Foundation Model with Multiview Mammograms and Associated ReportsYuan Gao, Hong-Yu Zhou, Xin Wang, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 4, 2024
Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trialsSena Alaeikhanehshir, Madelon M Voets, Frederieke H van Duijnhoven, et al.
NPJ Precision Oncology|January 29, 2026
Multi-omics deep learning improves FDG PET-CT-based long-term prognostication of breast cancerXinglong Liang, Tianyu Zhang, Miguel Braga, et al.
European Radiology|April 18, 2019
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility studyAlejandro Rodriguez-Ruiz, Kristina Lång, Albert Gubern-Merida, et al.
Clinical and Translational Radiation Oncology|November 12, 2021
Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registryKareem A Wahid, Sara Ahmed, Renjie He, et al.
Radiology|January 4, 2022
Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic FeaturesRui Hou, Lars J Grimm, Maciej A Mazurowski, et al.
Radiology|November 18, 2025
Cross-National Radiomics Validation Using Mammography to Predict Occult Invasion in Ductal Carcinoma in SituRui Hou, Lars J Grimm, Jeffrey R Marks, et al.
European Radiology|April 2, 2026
Diagnostic assessment of artificial intelligence reconstruction on accelerated prostate MRI: a retrospective, paired, multi-reader multi-case studyQuintin van Lohuizen, Stefan Johannes Fransen, George Yiasemis, et al.
British Journal of Cancer|April 5, 2025
Development of radiomics-based models on mammograms with mass lesions to predict prognostically relevant characteristics of invasive breast cancer in a screening cohortJim Peters, Merle M van Leeuwen, Nikita Moriakov, et al.
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