Published in: Dagstuhl Reports, Volume 13, Issue 1 (2023)
George Biros, Andreas Mang, Björn H. Menze, and Miriam Schulte. Inverse Biophysical Modeling and Machine Learning in Personalized Oncology (Dagstuhl Seminar 23022). In Dagstuhl Reports, Volume 13, Issue 1, pp. 36-67, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
@Article{biros_et_al:DagRep.13.1.36, author = {Biros, George and Mang, Andreas and Menze, Bj\"{o}rn H. and Schulte, Miriam}, title = {{Inverse Biophysical Modeling and Machine Learning in Personalized Oncology (Dagstuhl Seminar 23022)}}, pages = {36--67}, journal = {Dagstuhl Reports}, ISSN = {2192-5283}, year = {2023}, volume = {13}, number = {1}, editor = {Biros, George and Mang, Andreas and Menze, Bj\"{o}rn H. and Schulte, Miriam}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.1.36}, URN = {urn:nbn:de:0030-drops-191189}, doi = {10.4230/DagRep.13.1.36}, annote = {Keywords: Bayesian inverse problems, image segmentation, inverse problems, machine learning, medical image analysis, parallel computing, tumor growth simulation and modeling} }
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