UNSURE2023 special issue

https://doi.org/10.59275/j.melba.2024-f9a8

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Guest editors,
  • Christian Baumgartner;
  • Adrian Dalca;
  • Raghav Mehta##;
  • Chen Qin;
  • Carole Sudre;
  • William (Sandy) Wells.
Workshop page

1 paper


Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation cover file

Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation

2024/10/23
UNSURE2023 special issue

McKell WoodlandThe University of Texas MD Anderson Cancer Center, Houston, TX, USA
Rice University, Houston, TX, USA et al.

McKell WoodlandThe University of Texas MD Anderson Cancer Center, Houston, TX, USA
Rice University, Houston, TX, USA, Nihil PatelThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Austin CasteloThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Mais Al TaieThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Mohamed EltaherThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Joshua P. YungThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Tucker J. NethertonThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Tiffany L. CalderoneThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Jessica I. SanchezThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Darrel W. CleereHouston Methodist Hospital, Houston, TX, USA, Ahmed ElsaieyHouston Methodist Hospital, Houston, TX, USA, Nakul GuptaHouston Methodist Hospital, Houston, TX, USA, David VictorHouston Methodist Hospital, Houston, TX, USA, Laura BerettaThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Ankit B. PatelBaylor College of Medicine, Houston, TX, USA
Rice University, Houston, TX, USA, Kristy K. BrockThe University of Texas MD Anderson Cancer Center, Houston, TX, USA

PDF · Code · Video · arXiv