|External evaluation of 3 commercial artificial intelligence algorithms for independent assessment of screening mammograms|
M Salim, E Wňhlin, 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 Wňhlin, Y Liu, M Salim, K Smith, P Lindholm, M Eklund, ...
The Lancet Digital Health 2 (9), e468-e474, 2020
|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
|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-assistedá…, 2020
|CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer|
M Sorkhei, Y Liu, H Azizpour, E Azavedo, K Dembrower, D Ntoula, ...
arXiv preprint arXiv:2112.01330, 2021
|Recurrent knowledge distillation|
SL Pintea, Y Liu, JC van Gemert
2018 25th IEEE International Conference on Image Processing (ICIP), 3393-3397, 2018