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Acta Radiologica (Stockholm, Sweden : 1987)|December 20, 2017
New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computersAlejandro Rodriguez-Ruiz, Jonas Teuwen, Suzan Vreemann, et al.
European Journal of Radiology|March 12, 2021
Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRIWendelien B G Sanderink, Jonas Teuwen, Linda Appelman, et al.
European Radiology|May 5, 2021
Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case studySuzanne L van Winkel, Alejandro Rodríguez-Ruiz, Linda Appelman, et al.
Insights Into Imaging|December 5, 2023
Clinicopathological and prognostic value of calcification morphology descriptors in ductal carcinoma in situ of the breast: a systematic review and meta-analysisMerle M van Leeuwen, Shannon Doyle, Alexandra W van den Belt-Dusebout, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Multi-modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer TreatmentYuan Gao, Tao Tan, Xin Wang, et al.
Scientific Reports|January 13, 2026
Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting: a multicenter studyLishan Cai, Mohamed A Abdelatty, Luyi Han, et al.
Cell Reports Methods|August 12, 2025
All-in-one medical image-to-image translationLuyi Han, Tao Tan, Yunzhi Huang, et al.
Cell Reports. Medicine|July 25, 2023
RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast diseaseTianyu Zhang, Tao Tan, Xin Wang, et al.
The Lancet. Digital Health|August 15, 2025
AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort studySuzanne L van Winkel, Jim Peters, Natasja Janssen, et al.
NPJ Breast Cancer|October 30, 2025
Predicting short- to long-term breast cancer risk from longitudinal mammographic screening historyXin Wang, Tao Tan, Yuan Gao, et al.
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