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Journal of Medical Imaging (Bellingham, Wash.)|October 13, 2017
Classifying symmetrical differences and temporal change for the detection of malignant masses in mammography using deep neural networksThijs Kooi, Nico KarssemeijerMedical Physics|January 18, 2017
Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural networkThijs Kooi, Bram van Ginneken, Nico Karssemeijer, et al.Radiology. Artificial Intelligence|June 9, 2023
Transformer-based Deep Neural Network for Breast Cancer Classification on Digital Breast Tomosynthesis ImagesWeonsuk Lee, Hyeonsoo Lee, Hyunjae Lee, et al.Radiology. Artificial Intelligence|April 3, 2024
Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation TimeEun Kyung Park, SooYoung Kwak, Weonsuk Lee, et al.Journal of Medical Imaging (Bellingham, Wash.)|January 18, 2018
Fully automated detection of breast cancer in screening MRI using convolutional neural networksMehmet Ufuk Dalmış, Suzan Vreemann, Thijs Kooi, et al.Medical Image Analysis|August 7, 2016
Large scale deep learning for computer aided detection of mammographic lesionsThijs Kooi, Geert Litjens, Bram van Ginneken, et al.Diagnostics (Basel, Switzerland)|June 27, 2024
Artificial Intelligence-Powered Imaging Biomarker Based on Mammography for Breast Cancer Risk PredictionEun Kyung Park, Hyeonsoo Lee, Minjeong Kim, et al.Medical Image Analysis|August 5, 2017
A survey on deep learning in medical image analysisGeert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, et al.Nature Methods|February 12, 2024
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, et al.Arxiv|March 22, 2023
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, et al.Pageof 1