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CKM receives DFG funding for Project "Prädiktion von Therapieansprechen und Outcome beim lokal fortgeschrittenen Rektum-Karzinom mittels Radiomics und Deep Learning: eine beispielhafte Anwendung für eine allgemein verwendbare, Deep Learning basierte Prozessierungs-Pipeline für die Bild-Klassifikation" read more.
Alena-Kathrin Schnurr presented on our research on AI in medical imaging @ Research Plus forum
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Dr. Mathias Davids wins the I. I. Rabi Award of the International Society for Magnetic Resonance in Medicine (ISMRM),
read more, article in local newspaper (Mannheimer Morgen)
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Dr. sc. hum. Nadia Paschke

Dr. sc. hum. Nadia Paschke
Office : House 3, Level 4, Room 121
Phone : +49 (0) 621 383 5125
Fax : +49 (0) 621 383 5123
Email : nadia.paschke@medma.uni-heidelberg.de

Postal Address:
Computer Assisted Clinical Medicine
Medical Faculty Mannheim
Heidelberg University
Theodor-Kutzer-Ufer 1-3
68167 Mannheim
Germany

Nadia Paschke finished her electrical engineering studies at the Karlsruhe Institute of Technology (KIT) in May 2014 (M.Sc.). In her Masterís thesis written at the Department of Biomedical Engineering, Kingís College London she did research on respiratory motion compensated reconstruction approaches of high-resolution MR images. In 2014 she joined the institute of Computer Assisted Clinical Medicine for her doctoral thesis investigating the 23Na MRI technique for non-invasive quantification of tissue sodium concentration. The research is funded by the MITIGATE project (European Union, grant no 602306).





List of publications
Contact: Dr. Frank Zöllner last modified: 01.07.2020
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