Medical-Blocks―A Platform for Exploration, Management, Analysis, and Sharing of Data in Biomedical Research: System Development and Integration Results

Autor: Waldo Valenzuela, Fabian Balsiger, Roland Wiest, Olivier Scheidegger

Publikováno v: JMIR Formative Research, Vol 6, Iss 4, p e32287 (2022)

BackgroundBiomedical research requires health care institutions to provide sensitive clinical data to leverage data science and artificial intelligence technologies. However, providing researchers access to health care data in a simple and secure man

Externí odkaz: https://doaj.org/article/564d516987ba4fe687502b52107e6150

Analyzing the Quality and Challenges of Uncertainty Estimations for Brain Tumor Segmentation

Autor: Alain Jungo, Fabian Balsiger, Mauricio Reyes

Publikováno v: Frontiers in Neuroscience, Vol 14 (2020)

Automatic segmentation of brain tumors has the potential to enable volumetric measures and high-throughput analysis in the clinical setting. Reaching this potential seems almost achieved, considering the steady increase in segmentation accuracy. Howe

Externí odkaz: https://doaj.org/article/f7cc5cf22cb644a2af5b155d582b0b73

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

Autor: Florian Kofler, Ivan Ezhov, Fabian Isensee, Fabian Balsiger, Christoph Berger, Maximilian Koerner, Beatrice Demiray, Julia Rackerseder, Johannes Paetzold, Hongwei Li, Suprosanna Shit, Richard McKinley, Marie Piraud, Spyridon Bakas, Claus Zimmer, Nassir Navab, Jan Kirschke, Benedikt Wiestler, Bjoern Menze

Publikováno v: Machine Learning for Biomedical Imaging. 2:27-71

Metrics optimized in complex machine learning tasks are often selected in an ad-hoc manner. It is unknown how they align with human expert perception. We explore the correlations between established quantitative segmentation quality metrics and quali

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c921c22ac4d12040c74853cbbf19469c
https://doi.org/10.59275/j.melba.2023-dg1f

Medical-Blocks―A Platform for Exploration, Management, Analysis, and Sharing of Data in Biomedical Research: System Development and Integration Results (Preprint)

Autor: Waldo Valenzuela, Fabian Balsiger, Roland Wiest, Olivier Scheidegger

BACKGROUND Biomedical research requires health care institutions to provide sensitive clinical data to leverage data science and artificial intelligence technologies. However, providing researchers access to health care data in a simple and secure ma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::80e24169c5dd31516a2febfa4c4cd712
https://doi.org/10.2196/preprints.32287

Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting

Autor: Fabian Balsiger, Benjamin Marty, Mauricio Reyes, Olivier Scheidegger, Alain Jungo, Pierre G. Carlier

Publikováno v: Medical Image Analysis
Medical Image Analysis, Elsevier, 2020, 64, pp.101741-. ⟨10.1016/j.media.2020.101741⟩
Balsiger, Fabian; Jungo, Alain; Scheidegger, Olivier; Carlier, Pierre G; Reyes, Mauricio; Marty, Benjamin (2020). Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting. Medical image analysis, 64(101741), p. 101741. Elsevier 10.1016/j.media.2020.101741
Medical Image Analysis, 2020, 64, pp.101741. ⟨10.1016/j.media.2020.101741⟩

Magnetic resonance fingerprinting (MRF) provides a unique concept for simultaneous and fast acquisition of multiple quantitative MR parameters. Despite acquisition efficiency, adoption of MRF into the clinics is hindered by its dictionary matching-ba

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bcf710eca9dca7160a468db12469c90
https://hal.archives-ouvertes.fr/hal-03490848