A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling

Autor: Ezhov, I, Rosier, M, Zimmer, L, Kofler, F, Shit, S, Paetzold, J, Scibilia, K, Maechler, L, Franitza, K, Amiranashvili, T, Menten, MJ, Metz, M, Conjeti, S, Wiestler, B, Menze, B

Publikováno v: NeurIPS 2022

Solving the inverse problem is the key step in evaluating the capacity of a physical model to describe real phenomena. In medical image computing, it aligns with the classical theme of image-based model personalization. Traditionally, a solution to t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3027b805b3eedb567b88d3a2e4973674
http://arxiv.org/abs/2205.04550

Real-time 4D dose reconstruction for tracked dynamic MLC deliveries for lung SBRT

Autor: Kamerling, CP, Fast, MF, Ziegenhein, P, Menten, MJ, Nill, S, Oelfke, U

Purpose This study provides a proof of concept for real‐time 4D dose reconstruction for lung stereotactic body radiation therapy (SBRT) with multileaf collimator (MLC) tracking and assesses the impact of tumor tracking on the size of target margins

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1032::2123f65cc3789299e831223dc50864c2
http://hdl.handle.net/10044/1/72464

Deep Learning-Based Detection of Carotid Plaques Informs Cardiovascular Risk Prediction and Reveals Genetic Drivers of Atherosclerosis.

Autor: Omarov M; Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany., Zhang L; Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany., Jorshery SD; Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA., Malik R; Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany., Das B; Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany., Bellomo TR; Division of Vascular and Endovascular Surgery, Massachusetts General Hospital, Boston, MA, USA., Mansmann U; Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, LMU Munich, Munich, Germany., Menten MJ; BioMedIA, Department of Computing, Imperial College London, London, United Kingdom.; Institute for AI in Healthcare and Medicine, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany., Natarajan P; Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Boston, MA, USA.; Department of Medicine, Harvard Medical School, Boston, MA, USA., Dichgans M; Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany.; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.; German Center for Neurodegenerative Diseases, (DZNE, Munich), Munich, Germany.; German Centre for Cardiovascular Research (DZHK, Munich), Munich, Germany., Raghu VK; Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA., Anderson CD; Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.; McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA.; Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA., Georgakis MK; Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany.; Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.

Publikováno v: MedRxiv : the preprint server for health sciences [medRxiv] 2024 Oct 18. Date of Electronic Publication: 2024 Oct 18.

Retinal small vessel pathology is associated with disease burden in multiple sclerosis.

Autor: Wicklein R; Department of Neurology, Klinikum rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany., Kreitner L; Institute for AI and Informatics in Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany., Wild A; Department of Neurology, Klinikum rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany., Aly L; Department of Neurology, Klinikum rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany., Rueckert D; Institute for AI and Informatics in Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.; BioMedIA, Imperial College London, London, UK., Hemmer B; Department of Neurology, Klinikum rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.; Munich Cluster of Systems Neurology (SyNergy), Munich, Germany., Korn T; Department of Neurology, Klinikum rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.; Munich Cluster of Systems Neurology (SyNergy), Munich, Germany.; Institute for Experimental Neuroimmunology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany., Menten MJ; Institute for AI and Informatics in Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.; BioMedIA, Imperial College London, London, UK., Knier B; Department of Neurology, Klinikum rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.; Department of Neurology and Geriatric Neurology, Diakonie Klinikum Schwäbisch Hall, Schwäbisch Hall, Germany.

Publikováno v: Multiple sclerosis (Houndmills, Basingstoke, England) [Mult Scler] 2024 Jun; Vol. 30 (7), pp. 812-819. Date of Electronic Publication: 2024 May 15.

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations.

Autor: Kreitner L, Paetzold JC, Rauch N, Chen C, Hagag AM, Fayed AE, Sivaprasad S, Rausch S, Weichsel J, Menze BH, Harders M, Knier B, Rueckert D, Menten MJ

Publikováno v: IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2024 Jun; Vol. 43 (6), pp. 2061-2073. Date of Electronic Publication: 2024 Jun 03.