|Comparison of a deep learning risk score and standard mammographic density score for breast cancer risk prediction|
K Dembrower, Y Liu, H Azizpour, M Eklund, K Smith, P Lindholm, F Strand
Radiology 294 (2), 265-272, 2020
|External evaluation of 3 commercial artificial intelligence algorithms for independent assessment of screening mammograms|
M Salim, E Wåhlin, K Dembrower, E Azavedo, T Foukakis, Y Liu, K Smith, ...
JAMA oncology 6 (10), 1581-1588, 2020
|Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study|
K Dembrower, E Wåhlin, Y Liu, M Salim, K Smith, P Lindholm, M Eklund, ...
The Lancet Digital Health 2 (9), e468-e474, 2020
|Recurrent knowledge distillation|
SL Pintea, Y Liu, JC van Gemert
2018 25th IEEE International Conference on Image Processing (ICIP), 3393-3397, 2018
|Adding seemingly uninformative labels helps in low data regimes|
C Matsoukas, AB Hernandez, Y Liu, K Dembrower, G Miranda, E Konuk, ...
International Conference on Machine Learning, 6775-6784, 2020
|Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models|
Y Liu, H Azizpour, F Strand, K Smith
International Conference on Medical Image Computing and Computer-Assisted …, 2020