Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Schinz, David"'
Autor:
Atad, Matan, Schinz, David, Moeller, Hendrik, Graf, Robert, Wiestler, Benedikt, Rueckert, Daniel, Navab, Nassir, Kirschke, Jan S., Keicher, Matthias
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
Counterfactual explanations (CEs) aim to enhance the interpretability of machine learning models by illustrating how alterations in input features would affect the resulting predictions. Common CE approaches require an additional model and are typica
Externí odkaz:
http://arxiv.org/abs/2408.01571
Autor:
Sinhamahapatra, Poulami, Shit, Suprosanna, Sekuboyina, Anjany, Husseini, Malek, Schinz, David, Lenhart, Nicolas, Menze, Joern, Kirschke, Jan, Roscher, Karsten, Guennemann, Stephan
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
Vertebral fracture grading classifies the severity of vertebral fractures, which is a challenging task in medical imaging and has recently attracted Deep Learning (DL) models. Only a few works attempted to make such models human-interpretable despite
Externí odkaz:
http://arxiv.org/abs/2404.02830
Autor:
Keicher, Matthias, Atad, Matan, Schinz, David, Gersing, Alexandra S., Foreman, Sarah C., Goller, Sophia S., Weissinger, Juergen, Rischewski, Jon, Dietrich, Anna-Sophia, Wiestler, Benedikt, Kirschke, Jan S., Navab, Nassir
Vertebral fractures are a consequence of osteoporosis, with significant health implications for affected patients. Unfortunately, grading their severity using CT exams is hard and subjective, motivating automated grading methods. However, current app
Externí odkaz:
http://arxiv.org/abs/2303.12031
Autor:
Engstler, Paul, Keicher, Matthias, Schinz, David, Mach, Kristina, Gersing, Alexandra S., Foreman, Sarah C., Goller, Sophia S., Weissinger, Juergen, Rischewski, Jon, Dietrich, Anna-Sophia, Wiestler, Benedikt, Kirschke, Jan S., Khakzar, Ashkan, Navab, Nassir
Do black-box neural network models learn clinically relevant features for fracture diagnosis? The answer not only establishes reliability quenches scientific curiosity but also leads to explainable and verbose findings that can assist the radiologist
Externí odkaz:
http://arxiv.org/abs/2203.16273
Autor:
Liebl, Hans, Schinz, David, Sekuboyina, Anjany, Malagutti, Luca, Löffler, Maximilian T., Bayat, Amirhossein, Husseini, Malek El, Tetteh, Giles, Grau, Katharina, Niederreiter, Eva, Baum, Thomas, Wiestler, Benedikt, Menze, Bjoern, Braren, Rickmer, Zimmer, Claus, Kirschke, Jan S.
With the advent of deep learning algorithms, fully automated radiological image analysis is within reach. In spine imaging, several atlas- and shape-based as well as deep learning segmentation algorithms have been proposed, allowing for subsequent au
Externí odkaz:
http://arxiv.org/abs/2103.06360
Autor:
Wiltgen, Tun, McGinnis, Julian, Schlaeger, Sarah, Kofler, Florian, Voon, CuiCi, Berthele, Achim, Bischl, Daria, Grundl, Lioba, Will, Nikolaus, Metz, Marie, Schinz, David, Sepp, Dominik, Prucker, Philipp, Schmitz-Koep, Benita, Zimmer, Claus, Menze, Bjoern, Rueckert, Daniel, Hemmer, Bernhard, Kirschke, Jan, Mühlau, Mark, Wiestler, Benedikt
Publikováno v:
In NeuroImage: Clinical 2024 42
Autor:
Schmitz-Koep, Benita, Menegaux, Aurore, Gaser, Christian, Brandes, Elin, Schinz, David, Thalhammer, Melissa, Daamen, Marcel, Boecker, Henning, Zimmer, Claus, Priller, Josef, Wolke, Dieter, Bartmann, Peter, Sorg, Christian, Hedderich, Dennis M.
Publikováno v:
In Biological Psychiatry: Cognitive Neuroscience and Neuroimaging May 2023 8(5):495-504
Autor:
Neubauer, Antonia, Menegaux, Aurore, Wendt, Jil, Li, Hongwei Bran, Schmitz-Koep, Benita, Ruzok, Tobias, Thalhammer, Melissa, Schinz, David, Bartmann, Peter, Wolke, Dieter, Priller, Josef, Zimmer, Claus, Rueckert, Daniel, Hedderich, Dennis M., Sorg, Christian
Publikováno v:
In NeuroImage: Clinical 2023 37
Autor:
Wendt, Jil, Neubauer, Antonia, Hedderich, Dennis M., Schmitz‐Koep, Benita, Ayyildiz, Sevilay, Schinz, David, Hippen, Rebecca, Daamen, Marcel, Boecker, Henning, Zimmer, Claus, Wolke, Dieter, Bartmann, Peter, Sorg, Christian, Menegaux, Aurore
Publikováno v:
Human Brain Mapping; Oct2024, Vol. 45 Issue 14, p1-30, 30p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.