Krzysztof J. Geras
TitleCited byYear
Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)?
G Urban, KJ Geras, S Ebrahimi Kahou, O Aslan, S Wang, R Caruana, ...
arXiv preprint arXiv:1603.05691, 2016
1052016
High-resolution breast cancer screening with multi-view deep convolutional neural networks
KJ Geras, S Wolfson, Y Shen, N Wu, S Kim, E Kim, L Heacock, U Parikh, ...
arXiv preprint arXiv:1703.07047, 2017
692017
fastmri: An open dataset and benchmarks for accelerated mri
J Zbontar, F Knoll, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
arXiv preprint arXiv:1811.08839, 2018
432018
Blending LSTMs into CNNs
KJ Geras, A Mohamed, R Caruana, G Urban, S Wang, O Aslan, ...
arXiv preprint arXiv:1511.06433, 2015
33*2015
Scheduled denoising autoencoders
KJ Geras, C Sutton
arXiv preprint arXiv:1406.3269, 2014
262014
Analysis of deep neural networks with extended data jacobian matrix
S Wang, A Mohamed, R Caruana, J Bilmes, M Plilipose, M Richardson, ...
International Conference on Machine Learning, 718-726, 2016
212016
Isoelastic agents and wealth updates in machine learning markets
J Millin, K Geras, AJ Storkey
Proceedings of the 29th International Conference on Machine Learning (ICML†…, 2012
19*2012
Breast density classification with deep convolutional neural networks
N Wu, KJ Geras, Y Shen, J Su, SG Kim, E Kim, S Wolfson, L Moy, K Cho
2018 IEEE International Conference on Acoustics, Speech and Signal†…, 2018
172018
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
N Wu, J Phang, J Park, Y Shen, Z Huang, M Zorin, S Jastrzębski, T Fťvry, ...
162019
Multiple-source cross-validation
K Geras, C Sutton
International Conference on Machine Learning, 1292-1300, 2013
132013
New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence
Y Gao, KJ Geras, AA Lewin, L Moy
American Journal of Roentgenology 212 (2), 300-307, 2019
72019
Classifier-agnostic saliency map extraction
K Zołna, KJ Geras, K Cho
Proceedings of the AAAI Conference on Artificial Intelligence 33, 10087-10088, 2019
42019
Machine learning in breast MRI
B Reig, L Heacock, KJ Geras, L Moy
Journal of Magnetic Resonance Imaging, 2019
42019
Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives
KJ Geras, RM Mann, L Moy
Radiology 293 (2), 246-259, 2019
32019
Joint model training
O Aslan, R Caruana, MR Richardson, A Mohamed, M Philipose, K Geras, ...
US Patent App. 15/195,894, 2017
32017
Prediction Markets for Machine Learning
KJ Geras
32011
The NYU breast cancer screening dataset v1
N Wu, J Phang, J Park, Y Shen, SG Kim, L Heacock, L Moy, K Cho, ...
0. Technical report, 2019. Available at https://cs. nyu. edu/~ kgeras†…, 2019
22019
Composite denoising autoencoders
KJ Geras, C Sutton
Joint European Conference on Machine Learning and Knowledge Discovery in†…, 2016
12016
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
L Moy, K Cho, KJ Geras
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019†…, 2019
2019
Screening Mammogram Classification with Prior Exams
J Park, J Phang, Y Shen, N Wu, SG Kim, L Moy, K Cho, KJ Geras
2019
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Articles 1–20