オープン アクセスを義務付けられた論文 - Krzysztof J. Geras詳細
一般には非公開: 2 件
Lessons from the first DBTex Challenge
J Park, Y Shoshan, R Martí, P Gómez del Campo, V Ratner, D Khapun, ...
Nature Machine Intelligence 3 (8), 735-736, 2021
委任: US National Science Foundation, US National Institutes of Health, Gordon and …
Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images
J Chłędowski, J Park, KJ Geras
2023 International Conference on Digital Image Computing: Techniques and …, 2023
委任: Department of Biotechnology, India, Narodowe Centrum Nauki
一般公開: 29 件
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 Févry, ...
IEEE transactions on medical imaging 39 (4), 1184-1194, 2019
委任: US National Institutes of Health
fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning
F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
Radiology: Artificial Intelligence 2 (1), e190007, 2020
委任: US National Institutes of Health
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
委任: US National Institutes of Health, UK Engineering and Physical Sciences …
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
委任: US National Institutes of Health
Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
Y Shen, FE Shamout, JR Oliver, J Witowski, K Kannan, J Park, N Wu, ...
Nature communications 12 (1), 5645, 2021
委任: US National Science Foundation, US National Institutes of Health, Gordon and …
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Y Shen, N Wu, J Phang, J Park, K Liu, S Tyagi, L Heacock, SG Kim, L Moy, ...
Medical image analysis 68, 101908, 2021
委任: US National Science Foundation, US National Institutes of Health
Prediction of total knee replacement and diagnosis of osteoarthritis by using deep learning on knee radiographs: data from the osteoarthritis initiative
K Leung, B Zhang, J Tan, Y Shen, KJ Geras, JS Babb, K Cho, G Chang, ...
Radiology 296 (3), 584-593, 2020
委任: US National Institutes of Health
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ...
npj Digital Medicine 4 (1), 1-11, 2021
委任: US National Science Foundation, US National Institutes of Health
Machine learning in breast MRI
B Reig, L Heacock, KJ Geras, L Moy
Journal of magnetic resonance imaging 52 (4), 998-1018, 2020
委任: US National Institutes of Health
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
委任: US National Institutes of Health
Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks
N Wu, S Jastrzebski, K Cho, KJ Geras
International Conference on Machine Learning, 24043-24055, 2022
委任: US National Science Foundation, US National Institutes of Health, Gordon and …
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
K Dvijotham, J Winkens, M Barsbey, S Ghaisas, R Stanforth, N Pawlowski, ...
Nature Medicine 29 (7), 1814-1820, 2023
委任: US National Institutes of Health, Cancer Research UK
Catastrophic fisher explosion: Early phase fisher matrix impacts generalization
S Jastrzebski, D Arpit, O Astrand, GB Kerg, H Wang, C Xiong, R Socher, ...
International Conference on Machine Learning, 4772-4784, 2021
委任: Fonds de recherche du Québec - Nature et technologies
Improving breast cancer diagnostics with deep learning for MRI
J Witowski, L Heacock, B Reig, SK Kang, A Lewin, K Pysarenko, S Patel, ...
Science translational medicine 14 (664), eabo4802, 2022
委任: US National Institutes of Health, Gordon and Betty Moore Foundation, Polish …
Multiple instance learning via iterative self-paced supervised contrastive learning
K Liu, W Zhu, Y Shen, S Liu, N Razavian, KJ Geras, C Fernandez-Granda
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
委任: US National Science Foundation, US National Institutes of Health, Gordon and …
Globally-aware multiple instance classifier for breast cancer screening
Y Shen, N Wu, J Phang, J Park, G Kim, L Moy, K Cho, KJ Geras
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
委任: US National Institutes of Health
Weakly-supervised high-resolution segmentation of mammography images for breast cancer diagnosis
K Liu, Y Shen, N Wu, J Chłędowski, C Fernandez-Granda, KJ Geras
Proceedings of machine learning research 143, 268, 2021
委任: US National Science Foundation, US National Institutes of Health, Gordon and …
Artificial intelligence explained for nonexperts
N Razavian, F Knoll, KJ Geras
Seminars in musculoskeletal radiology 24 (01), 003-011, 2020
委任: US National Institutes of Health
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