Data science, AI, and machine learning in physics II

Presentations

• Optical label-free determination of mitochondrial dynamics using deep learning

  ORAL

  March 8, 2024, 11:30 AM – March 8, 2024, 11:42 AM

  Presenters

  • Neha Goswami

    • University of Illinois Urbana-Champaign

  Authors

  • Neha Goswami

    • University of Illinois Urbana-Champaign

  • YoungJae Lee

    • University of Illinois Urbana-Champaign

  • Gabriel Popescu

    • University of Illinois at Urbana-Champaign

  • Mark A Anastasio

    • University of Illinois Urbana-Champaign

  View abstract →

• Longitudinal Interpretability of Deep-Learning based Breast Cancer Risk Prediction Model

  ORAL

  March 8, 2024, 11:42 AM – March 8, 2024, 11:54 AM

  Presenters

  • Brayden Schott

    • University of Wisconsin - Madison

  Authors

  • Zan Klanecek

    • University of Ljubljana, Faculty of Mathematics and Physics
    • Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia
    • University of Ljubljana, Faculty of Mathematics and Physics, Medical Physics, Ljubljana, Slovenia

  • Yao Kuan Wang

    • KU Leuven, Department of Imaging and Pathology, Division of Medical Physics & Quality Assessment, Leuven, Belgium

  • Tobias Wagner

    • KU Leuven, Department of Imaging and Pathology, Division of Medical Physics & Quality Assessment, Leuven, Belgium

  • Lesley Cockmartin

    • UZ Leuven, Department of Radiology, Leuven, Belgium

  • Nicholas Marshall

    • KU Leuven, Department of Imaging and Pathology, Division of Medical Physics & Quality Assessment, Leuven, Belgium and UZ Leuven, Department of Radiology, Leuven, Belgium

  • Brayden Schott

    • University of Wisconsin - Madison

  • Alison Deatsch

    • University of Wisconsin - Madison

  • Andrej Studen

    • Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia; Experimental Particle Physics Department, Jožef Stefan Institute, Ljubljana, Slovenia
    • University of Ljubljana, Faculty of Mathematics and Physics, Medical Physics, Ljubljana, Slovenia and Jožef Stefan Institute, Ljubljana, Slovenia

  • Miloš Vrhovec

    • Institute of Oncology Ljubljana, Ljubljana, Slovenia

  • Hilde Bosmans

    • KU Leuven, Department of Imaging and Pathology, Division of Medical Physics & Quality Assessment, Leuven, Belgium and UZ Leuven, Department of Radiology, Leuven, Belgium

  • Robert Jeraj

    • University of Ljubljana, Faculty of Mathematics and Physics, Slovenia; Jožef Stefan Institute, Ljubljana, Slovenia; University of Wisconsin - Madison, USA
    • University of Ljubljana, Faculty of Mathematics and Physics, Slovenia and Jožef Stefan Institute, Slovenia and University of Wisconsin-Madison, Madison, U.S.A.

  View abstract →

• Assessing the impact of CNN architectures for whole organ segmentation on predictive models of organ toxicity

  ORAL

  March 8, 2024, 11:54 AM – March 8, 2024, 12:06 PM

  Presenters

  • Katja Strasek

    • Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia

  Authors

  • Katja Strasek

    • Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia

  • Daniel Huff

    • Department of Medical Physics, University of Wisconsin - Madison

  • Nežka Hribernik

    • Department of Medical Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia

  • Victor S Fernandes

    • University of Wisconsin - Madison
    • Department of Medical Physics, University of Wisconsin - Madison

  • Vincent T Ma

    • University of Wisconsin Carbone Cancer Center, Madison, WI; Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI

  • Zan Klanecek

    • University of Ljubljana, Faculty of Mathematics and Physics
    • Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia
    • University of Ljubljana, Faculty of Mathematics and Physics, Medical Physics, Ljubljana, Slovenia

  • Andrej Studen

    • Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia; Experimental Particle Physics Department, Jožef Stefan Institute, Ljubljana, Slovenia
    • University of Ljubljana, Faculty of Mathematics and Physics, Medical Physics, Ljubljana, Slovenia and Jožef Stefan Institute, Ljubljana, Slovenia

  • Katarina Zevnik

    • Department of Nuclear Medicine, Institute of Oncology Ljubljana, Ljubljana, Slovenia

  • Martina Reberšek

    • Department of Medical Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia

  • Robert Jeraj

    • University of Ljubljana, Faculty of Mathematics and Physics, Slovenia; Jožef Stefan Institute, Ljubljana, Slovenia; University of Wisconsin - Madison, USA
    • University of Ljubljana, Faculty of Mathematics and Physics, Slovenia and Jožef Stefan Institute, Slovenia and University of Wisconsin-Madison, Madison, U.S.A.

  View abstract →

• Spatially Resolved IR Hyperspectral Imaging for Malignant Cell Detection

  ORAL

  March 8, 2024, 12:06 PM – March 8, 2024, 12:18 PM

  Publication: Kalpa de Silva, Proity Nayeeb Akbar*, Reinhold Blumel. Space-resolved chemical information from infrared extinction spectra. Scientific Reports, 2023; 13(557).

  Presenters

  • Proity N Akbar

    • Wesleyan University

  Authors

  • Proity N Akbar

    • Wesleyan University

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• Radiomics assisted machine learning model for predication of prostate specific antigen levels

  ORAL

  March 8, 2024, 12:18 PM – March 8, 2024, 12:30 PM

  Presenters

  • Saad Bin Saeed Ahmed

    • Florida Atlantic University

  Authors

  • Saad Bin Saeed Ahmed

    • Florida Atlantic University

  • Agha Hammad Khan

    • McGill University

  • Wazir Muhammad

    • Florida Atlantic University

  View abstract →

• Deep learning for image analysis of breast and prostate cancer cell cultures

  ORAL

  March 8, 2024, 12:30 PM – March 8, 2024, 12:42 PM

  Publication: 1. O. Ronneberger, P. Fischer, and T. Brox, U-Net: Convolutional Networks for Biomedical Image Segmentation, in MICCAI 2015, pp. 234–241 (2015)
  2. O. Oktay et al., Attention U-Net: Learning Where to Look for the Pancreas, ArXiv 1804:03999 (2018)
  

  Presenters

  • Aliakbar Sepehri

    • University of North Dakota

  Authors

  • Aliakbar Sepehri

    • University of North Dakota

  • Ian Bergerson

    • University of North Dakota

  • Yen Lee Loh

    • University of North Dakota

  • Lucas Bierscheid

    • North dakota university state

  • John Wilkinson

    • North Dakota State University

  View abstract →

• Structure prediction of iron hydrides across pressure range with transferable machine-learned interatomic potential

  ORAL

  March 8, 2024, 12:42 PM – March 8, 2024, 12:54 PM

  Publication: Hossein Tahmasbi, Kushal Ramakrishna, Mani Lokamani, and Attila Cangi "Machine Learning-Driven Structure Prediction for Iron Hydrides", In preparation

  Presenters

  • Hossein Tahmasbi

    • Center for Advanced Systems Understanding (CASUS), HZDR

  Authors

  • Hossein Tahmasbi

    • Center for Advanced Systems Understanding (CASUS), HZDR

  • Kushal Ramakrishna

    • Helmholtz Zentrum Dresden-Rossendorf

  • Mani Lokamani

    • Helmholtz-Zentrum Dresden-Rossendorf

  • Attila Cangi

    • Helmholtz Zentrum Dresden-Rossendorf

  View abstract →

• Development of a Machine Learning Interatomic Potential for Uranium Nitride

  ORAL

  March 8, 2024, 12:54 PM – March 8, 2024, 1:06 PM

  Presenters

  • Lorena Alzate-Vargas

    • Los Alamos National Laboratory

  Authors

  • Lorena Alzate-Vargas

    • Los Alamos National Laboratory

  • Richard A Messerly

    • Los Alamos National Laboratory

  • Roxanne M Tutchton

    • Los Alamos National Laboratory

  • Kashi N Subedi

    • Los Alamos National Laboratory

  • Michael Cooper

    • Los Alamos National Laboratory

  • Tammie Gibson

    • Los Alamos National Laboratory

  View abstract →

• Fast Generation of Ab Initio Training Data for Large-Scale Applications of Neural Network Potentials

  ORAL

  March 8, 2024, 1:06 PM – March 8, 2024, 1:18 PM

  Presenters

  • Jaesuk Park

    • University of Texas at Austin

  Authors

  • Jaesuk Park

    • University of Texas at Austin

  • Feliciano Giustino

    • University of Texas at Austin
    • University of Texas

  View abstract →

• Graph-Transformer Model for Direct Band Structure Prediction from Crystal Structures

  ORAL

  March 8, 2024, 1:18 PM – March 8, 2024, 1:30 PM

  Presenters

  • Weiyi Gong

    • Northeastern University

  Authors

  • Weiyi Gong

    • Northeastern University

  • Tao Sun

    • Stony Brook University

  • Hexin Bai

    • Temple University

  • Jeng-Yuan Tsai

    • Northeastern University

  • Haibin Ling

    • Stony Brook University

  • Qimin Yan

    • Northeastern University

  View abstract →

• Global structure optimization and metastable structure enumeration using polynomial machine learning potentials

  ORAL

  March 8, 2024, 1:30 PM – March 8, 2024, 1:42 PM

  Publication: [1] A. Seko, J. Appl. Phys. 133, 011101 (2023)
  [2] A. Seko, in preparation.
  [3] H. Wakai, A. Seko, and I. Tanaka, J. Ceram. Soc. Jpn., 131, 762 (2023).

  Presenters

  • Atsuto Seko

    • Kyoto University

  Authors

  • Atsuto Seko

    • Kyoto University

  View abstract →

• Developing generalizable machine learning models using electronic structure-based features

  ORAL

  March 8, 2024, 1:42 PM – March 8, 2024, 1:54 PM

  Presenters

  • Clara Kirkvold

    • University of Minnesota

  Authors

  • Clara Kirkvold

    • University of Minnesota

  • Jason D Goodpaster

    • University of Minnesota

  View abstract →

• Accurate Prediction of Magnetic Properties of Permanent Magnets Using Machine Learning

  ORAL

  March 8, 2024, 1:54 PM – March 8, 2024, 2:06 PM

  Presenters

  • Churna B Bhandari

    • Iowa State University

  Authors

  • Churna B Bhandari

    • Iowa State University

  • Gavin N Nop

    • Iowa State University

  • Durga Paudyal

    • Ames National Laboratory

  View abstract →

• Uncertainty Quantification for Deep Learning-based Metastatic Tumor Delineation on ⁶⁸Ga-DOTATATE PET/CT Images

  ORAL

  March 8, 2024, 2:06 PM – March 8, 2024, 2:18 PM

  Presenters

  • Brayden Schott

    • University of Wisconsin - Madison

  Authors

  • Brayden Schott

    • University of Wisconsin - Madison

  • Victor S Fernandes

    • University of Wisconsin - Madison
    • Department of Medical Physics, University of Wisconsin - Madison

  • Zan Klanecek

    • University of Ljubljana, Faculty of Mathematics and Physics
    • Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia
    • University of Ljubljana, Faculty of Mathematics and Physics, Medical Physics, Ljubljana, Slovenia

  • Dmitry Pinchuk

    • University of Wisconsin - Madison

  • Robert Jeraj

    • University of Wisconsin - Madison

  View abstract →