S. Wetstein

发表

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Marleen de Bruijne, M. Veta, B. Ginneken, 2020, Medical Image Anal..

Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk

Allison M. Onken, Michael E. Pyle, M. Veta, 2019, PloS one.

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

M. Veta, J. Pluim, P. V. van Diest, 2020, Laboratory Investigation.

Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

M. Veta, J. Pluim, P. V. van Diest, 2022, Scientific Reports.

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset

Navid Alemi Koohbanani, M. Veta, Shadi Albarqouni, 2023, ArXiv.

Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk

Allison M. Onken, G. Colditz, M. Veta, 2020, Cancer Epidemiology, Biomarkers & Prevention.

Detection of acini in histopathology slides: towards automated prediction of breast cancer risk

Mitko Veta, Josien P. W. Pluim, Yujing J. Heng, 2019, Medical Imaging.

Adversarial Attack Vulnerability of Medical Image Analysis Systems

Marleen de Bruijne, M. Veta, B. Ginneken, 2020 .

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Mitko Veta, Bram van Ginneken, Laurens Hogeweg, 2020, Medical Image Anal..

Are female investors driven dierently by sentiments than male investors

S. Wetstein, 2014 .