Detection of acini in histopathology slides: towards automated prediction of breast cancer risk. - Suzanne C. Wetstein; Allison M. Onken; Gabrielle M. Baker; Michael E. Pyle; Josien P. W. Pluim; Rulla M. Tamimi; Yujing J. Heng; Mitko Veta (Digital Pathology, 2019)

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk. - Suzanne C. Wetstein; Allison M. Onken; Christina Luffman; Gabrielle M. Baker; Michael E. Pyle; Kevin H. Kensler; Ying Liu; Bart Bakker; Ruud Vlutters; Marinus B. van Leeuwen; Laura C. Collins; Stuart J. Schnitt; et al. (CoRR, 2019)

Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images. - Suzanne C. Wetstein; Nikolas Stathonikos; Josien P. W. Pluim; Yujing J. Heng; Natalie D. ter Hoeve; Celien P. H. Vreuls; Paul J. van Diest; Mitko Veta (CoRR, 2020)

Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. - Gerda Bortsova; Cristina González-Gonzalo; Suzanne C. Wetstein; Florian Dubost; Ioannis Katramados; Laurens Hogeweg; Bart Liefers; Bram van Ginneken; Josien P. W. Pluim; Mitko Veta; Clara I. Sánchez; Marleen de Bruijne (Medical Image Anal., 2021)

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. - Yiping Jiao; Jeroen van der Laak; Shadi Albarqouni; Zhang Li; Tao Tan; Abhir Bhalerao; Jiabo Ma; Jiamei Sun; Johnathon Pocock; Josien P. W. Pluim; Navid Alemi Koohbanani; Raja Muhammad Saad Bashir; et al. (CoRR, 2023)

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. - Yiping Jiao; Jeroen van der Laak; Shadi Albarqouni; Zhang Li; Tao Tan; Abhir Bhalerao; Shenghua Cheng; Jiabo Ma; John Pocock; Josien P. W. Pluim; Navid Alemi Koohbanani; Raja Muhammad Saad Bashir; et al. (IEEE J. Biomed. Health Informatics, 2024)