Physical, Statistical and AI modeling of Spatiotemporal Medical Imaging
FOCUS · MAR-J57 · ID: 3998118
Presentations
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AMPERE: A Global Physics Framework for Advancing Medical Physics Research, Education, and Workforce Development
ORAL · Invited
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Presenters
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Stephen M Avery
- University of Pennsylvania
Authors
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Stephen M Avery
- University of Pennsylvania
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Complex Time and the Principle of Least Entropic Purpose
ORAL · Invited
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Presenters
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Michael C Parker
- University of Essex
Authors
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Michael C Parker
- University of Essex
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Chris Jeynes
- University of Surrey (retired)
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Stuart D Walker
- University of Essex
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Exploring the Relevance of Thermal Spacetime Quantum Mechanics to Data Science and Medical Imaging
ORAL · Invited
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Presenters
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Russell B Thompson
- University of Waterloo
Authors
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Russell B Thompson
- University of Waterloo
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Second-order Statistical Image Texture Features from Spectral X-ray Images when using Photon-Counting Spectral Detectors
ORAL
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Presenters
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Oliver Namuwonge
- University of Houston
Authors
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Oliver Namuwonge
- University of Houston
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Diego Andrade
- University of Houston
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Mini Das
- University of Houston
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Estimating Uncertainty of a Deep Learning–Based Breast Cancer Risk Prediction Model Using Test-Time Augmentations
ORAL
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Presenters
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Zan Klanecek
- University of Ljubljana, Faculty of Mathematics and Physics
Authors
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Zan Klanecek
- University of Ljubljana, Faculty of Mathematics and Physics
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Yao Kuan Wang
- KU Leuven
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Tobias Wagner
- KU Leuven
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Lesley Cockmartin
- UZ Leuven
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Nicholas Marshall
- KU Leuven, UZ Leuven
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Andrej Studen
- Jožef Stefan Institute, University of Ljubljana
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Katja Jarm
- Institute of Oncology Ljubljana
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Mateja Krajc
- Institute of Oncology Ljubljana
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Miloš Vrhovec
- Institute of Oncology Ljubljana
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Hilde Bosmans
- KU Leuven, UZ Leuven
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Ali Deatsch
- University of Wisconsin-Madison
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Robert Jeraj
- Jožef Stefan Institute, University of Ljubljana, University of Wisconsin - Madison
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