Krzysztof J. Geras
Orcid: 0000-0003-0549-1446Affiliations:
- New York University, Center for Data Science, NY, USA
According to our database1,
Krzysztof J. Geras
authored at least 42 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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on cs.nyu.edu
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Bibliography
2024
IEEE Trans. Medical Imaging, January, 2024
2023
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data.
CoRR, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Machine Learning for Healthcare Conference, 2022
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
2021
A convolutional neural network for common coordinate registration of high-resolution histology images.
Bioinform., November, 2021
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department.
npj Digit. Medicine, 2021
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.
Medical Image Anal., 2021
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.
J. Digit. Imaging, 2021
Towards dynamic multi-modal phenotyping using chest radiographs and physiological data.
CoRR, 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction.
CoRR, 2021
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
IEEE Trans. Medical Imaging, 2020
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability.
CoRR, 2020
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.
CoRR, 2020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department.
CoRR, 2020
Understanding the robustness of deep neural network classifiers for breast cancer screening.
CoRR, 2020
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Improving localization-based approaches for breast cancer screening exam classification.
CoRR, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks.
CoRR, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
CoRR, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Proceedings of the 29th International Conference on Machine Learning, 2012