Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate <scp>MRI</scp>

Authors

Lavanya Umapathy (ORCID: https://orcid.org/0000-0002-7224-0930)
Daniel K. Sodickson (ORCID: https://orcid.org/0000-0002-2436-4664)
Kai Tobias Block (ORCID: https://orcid.org/0000-0003-3426-965X)
Luke Ginocchio (ORCID: https://orcid.org/0000-0002-0183-7246)
Tarun Dutt (ORCID: https://orcid.org/0009-0003-7683-4271)
Angela Tong (ORCID: https://orcid.org/0000-0002-4733-3414)
Patricia M. Johnson (ORCID: https://orcid.org/0000-0003-1547-9969)
Hersh Chandarana (ORCID: https://orcid.org/0000-0002-6807-4589)
Sumit Chopra (ORCID: https://orcid.org/0009-0009-6637-2230)
Amanpreet Singh Saimbhi

Institutions

Courant Institute of Mathematical Sciences (US)
New York University (US)

Publication Details

Journal: Journal of Magnetic Resonance Imaging
Published: 2025-04-22
DOI: https://doi.org/10.1002/jmri.29798
Citations: 7
Primary Topic: Prostate Cancer Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 10.63

Funders

National Institute of Biomedical Imaging and Bioengineering

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article

Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI

Lavanya Umapathy, Daniel K. Sodickson, Kai Tobias Block, Luke Ginocchio et al.

Apr 22, 2025

7 citations

Journal of Magnetic Resonance Imaging

Prostate Cancer Diagnosis and Treatment

10.63

article

Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI

Lavanya Umapathy, Daniel K. Sodickson, Kai Tobias Block, Luke Ginocchio, Tarun Dutt, Angela Tong, Patricia M. Johnson, Hersh Chandarana, Sumit Chopra, Amanpreet Singh Saimbhi

April 22, 2025article en

7 citations

Abstract

No abstract available for this paper.

Journal of Magnetic Resonance ImagingVol. 62(3)

Courant Institute of Mathematical Sciences (US), New York University (US)

National Institute of Biomedical Imaging and Bioengineering

Openalex Percentile: Top 2%

Prostate Cancer Diagnosis and Treatment

10.63

DOI Source OpenAlex

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