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Yannik Glaser
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2020 – today
- 2024
- [c3]Arianna Bunnell, Yannik Glaser, Dustin Valdez, Thomas K. Wolfgruber, Aleen Altamirano, Carol Zamora González, Brenda Y. Hernandez, Peter Sadowski, John A. Shepherd:
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound. MICCAI (3) 2024: 650-659 - [i4]Yannik Glaser, Justin E. Stopa, Linnea M. Wolniewicz, Ralph Foster, Douglas C. Vandemark, Alexis Mouche, Bertrand Chapron, Peter Sadowski:
WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images. CoRR abs/2406.18765 (2024) - [i3]Arianna Bunnell, Yannik Glaser, Dustin Valdez, Thomas K. Wolfgruber, Aleen Altamirano, Carol Zamora González, Brenda Y. Hernandez, Peter Sadowski, John A. Shepherd:
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound. CoRR abs/2407.00267 (2024) - 2023
- [i2]Yusuke Hatanaka, Yannik Glaser, Geoff Galgon, Giuseppe Torri, Peter Sadowski:
Diffusion Models for High-Resolution Solar Forecasts. CoRR abs/2302.00170 (2023) - 2022
- [i1]Lambert T. Leong, Michael C. Wong, Yannik Glaser, Thomas K. Wolfgruber, Steven B. Heymsfield, Peter Sadwoski, John A. Shepherd:
Quantitative Imaging Principles Improves Medical Image Learning. CoRR abs/2206.06663 (2022) - 2021
- [j1]Brandon Quach, Yannik Glaser, Justin Edward Stopa, Alexis Aurelien Mouche, Peter J. Sadowski:
Deep Learning for Predicting Significant Wave Height From Synthetic Aperture Radar. IEEE Trans. Geosci. Remote. Sens. 59(3): 1859-1867 (2021) - [c2]Michael Ito, Yannik Glaser, Peter J. Sadowski:
Evolution-Informed Neural Networks for Microbiome Data Analysis. BIBM 2021: 3386-3391 - 2020
- [c1]Brandon Quach, Yannik Glaser, Justin Stopa, Peter J. Sadowski:
Deep Sensing of Ocean Wave Heights with Synthetic Aperture Radar. AAAI Spring Symposium: MLPS 2020
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