Alison Deatsch (Ali Deatsch)

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Convolutional Neural Network

Top Venues

Physics in medicine and biology

This page only lists publications with an associated author ORCID identifier.

Publications

Victor Santoro-Fernandes, Daniel T Huff, Luciano Rivetti, Alison Deatsch, Brayden Schott, Scott Perlman, Robert Jeraj
An automated methodology for whole-body, multimodality tracking of individual cancer lesions. Physics in medicine and biology (2024)
Victor Santoro-Fernandes, Daniel T Huff, Luciano Rivetti, Alison Deatsch, Brayden Schott, Scott B Perlman, Robert Jeraj
An automated methodology for whole-body, multimodality tracking of individual cancer lesions. Physics in medicine and biology 69 (8) (2024)
Brayden Schott, Dmitry Pinchuk, Victor Santoro-Fernandes, Zan Klanecek, Luciano Rivetti, Alison Deatsch, Scott Perlman, Yixuan Li, Robert Jeraj
Uncertainty quantification via localized gradients for deep learning-based medical image assessments. Physics in medicine and biology (2024)
Victor Santoro-Fernandes, Daniel T Huff, Luciano Rivetti, Alison Deatsch, Brayden Schott, Scott B Perlman, Robert Jeraj
An automated methodology for whole-body, multimodality tracking of individual cancer lesions. Physics in medicine and biology 69 (8) (2024)
Brayden Schott, Dmitry Pinchuk, Victor Santoro-Fernandes, Zan Klanecek, Luciano Rivetti, Alison Deatsch, Scott B Perlman, Yixuan Li, Robert Jeraj
Uncertainty quantification via localized gradients for deep learning-based medical image assessments. Physics in medicine and biology 69 (15) (2024)
Zan Klanecek, Tobias Wagner, Yao-Kuan Wang, Lesley Cockmartin, Nicholas W Marshall, Brayden Schott, Alison Deatsch, Andrej Studen, Kristijana Hertl, Katja Jarm, Mateja Krajc, Miloš Vrhovec, Hilde Bosmans, Robert Jeraj
Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout. Physics in medicine and biology 68 (11) (2023)
Zan Klanecek, Tobias Wagner, Yao-Kuan Wang, Lesley Cockmartin, Nicholas W Marshall, Brayden Schott, Alison Deatsch, Andrej Studen, Kristijana Hertl, Katja Jarm, Mateja Krajc, Miloš Vrhovec, Hilde Bosmans, Robert Jeraj
Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout. Physics in medicine and biology 68 (11) (2023)
Zan Klanecek, Tobias Wagner, Yao-Kuan Wang, Lesley Cockmartin, Nicholas W Marshall, Brayden Schott, Alison Deatsch, Andrej Studen, Kristijana Hertl, Katja Jarm, Mateja Krajc, Miloš Vrhovec, Hilde Bosmans, Robert Jeraj
Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout. Physics in medicine and biology (2023)
Alison Deatsch, Matej Perovnik, Mauro Namias, Maja Trošt, Robert Jeraj
Development of a deep learning network for Alzheimer's disease classification with evaluation of imaging modality and longitudinal data. Physics in medicine and biology 67 (19) (2022)