Retrospective relaxometry from conventional contrasts by physics-informed deep learning: A pilot on Tumor, MS, Stroke and Epilepsy patients

Jelmer van Lune; Stefano Mandija; Martin Schilder; Luuk Jacobs; Jordi Kleinloog; Matteo Maspero; Sarah Jacobs; Cornelis van den Berg; Alessandro Sbrizzi

Retrospective relaxometry from conventional contrasts by physics-informed deep learning: A pilot on Tumor, MS, Stroke and Epilepsy patients

Jelmer van Lune
, Stefano Mandija
, Martin Schilder
, Luuk Jacobs
, Jordi Kleinloog
, Matteo Maspero
, Sarah Jacobs
, Cornelis van den Berg
, Alessandro Sbrizzi

Research output: Contribution to conference › Abstract › Academic

Original language	English
Publication status	Published - 1 May 2025

Access to Document

http://echo.ismrm.org/abstracts/view/4ceaf397-54e6-4034-bece-69c7064f2b0b

Cite this

@conference{95b755a37f494f808ece0b2df206d618,

title = "Retrospective relaxometry from conventional contrasts by physics-informed deep learning: A pilot on Tumor, MS, Stroke and Epilepsy patients",

author = "\{van Lune\}, Jelmer and Stefano Mandija and Martin Schilder and Luuk Jacobs and Jordi Kleinloog and Matteo Maspero and Sarah Jacobs and \{van den Berg\}, Cornelis and Alessandro Sbrizzi",

note = "Program Number: 1045",

year = "2025",

month = may,

day = "1",

language = "English",

}

TY - CONF

T1 - Retrospective relaxometry from conventional contrasts by physics-informed deep learning: A pilot on Tumor, MS, Stroke and Epilepsy patients

AU - van Lune, Jelmer

AU - Mandija, Stefano

AU - Schilder, Martin

AU - Jacobs, Luuk

AU - Kleinloog, Jordi

AU - Maspero, Matteo

AU - Jacobs, Sarah

AU - van den Berg, Cornelis

AU - Sbrizzi, Alessandro

N1 - Program Number: 1045

PY - 2025/5/1

Y1 - 2025/5/1

M3 - Abstract

ER -