Yannik Glaser

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging.
ShapeMI@MICCAI
Arianna Bunnell, Devon Cataldi, Yannik Glaser, Thomas K. Wolfgruber, Steven B. Heymsfield, Alan B. Zonderman, Thomas L. Kelly, Peter Sadowski, John A. Shepherd
2025 J jnl
Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging.
CoRR
Arianna Bunnell, Devon Cataldi, Yannik Glaser, Thomas K. Wolfgruber, Steven B. Heymsfield, Alan B. Zonderman, Thomas L. Kelly, Peter Sadowski, John A. Shepherd
2024 J jnl
Artificial Intelligence-Informed Handheld Breast Ultrasound for Screening: A Systematic Review of Diagnostic Test Accuracy.
CoRR
Arianna Bunnell, Dustin Valdez, Fredrik Strand, Yannik Glaser, Peter Sadowski, John A. Shepherd
2024 — conf
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound.
MICCAI (3)
Arianna Bunnell, Yannik Glaser, Dustin Valdez, Thomas K. Wolfgruber, Aleen Altamirano, Carol Zamora González, Brenda Y. Hernandez, Peter Sadowski, John A. Shepherd
2024 J jnl
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound.
CoRR
Arianna Bunnell, Yannik Glaser, Dustin Valdez, Thomas K. Wolfgruber, Aleen Altamirano, Carol Zamora González, Brenda Y. Hernandez, Peter Sadowski, John A. Shepherd
2024 J jnl
WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images.
CoRR
Yannik Glaser, Justin E. Stopa, Linnea M. Wolniewicz, Ralph Foster, Douglas C. Vandemark, Alexis Mouche, Bertrand Chapron, Peter Sadowski
2023 J jnl
Diffusion Models for High-Resolution Solar Forecasts.
CoRR
Yusuke Hatanaka, Yannik Glaser, Geoff Galgon, Giuseppe Torri, Peter Sadowski
2022 J jnl
Quantitative Imaging Principles Improves Medical Image Learning.
CoRR
Lambert T. Leong, Michael C. Wong, Yannik Glaser, Thomas K. Wolfgruber, Steven B. Heymsfield, Peter Sadwoski, John A. Shepherd
2021 J jnl
Deep Learning for Predicting Significant Wave Height From Synthetic Aperture Radar.
IEEE Trans. Geosci. Remote. Sens.
Brandon Quach, Yannik Glaser, Justin Edward Stopa, Alexis Aurelien Mouche, Peter J. Sadowski
2021 — conf
Evolution-Informed Neural Networks for Microbiome Data Analysis.
BIBM
Michael Ito, Yannik Glaser, Peter J. Sadowski
2020 — conf
Deep Sensing of Ocean Wave Heights with Synthetic Aperture Radar.
AAAI Spring Symposium: MLPS
Brandon Quach, Yannik Glaser, Justin Stopa, Peter J. Sadowski