Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Daniel Rückert"'
Autor:
Felix Meissen, Svenja Breuer, Moritz Knolle, Alena Buyx, Ruth Müller, Georgios Kaissis, Benedikt Wiestler, Daniel Rückert
Publikováno v:
EBioMedicine, Vol 101, Iss , Pp 105002- (2024)
Summary: Background: With the ever-increasing amount of medical imaging data, the demand for algorithms to assist clinicians has amplified. Unsupervised anomaly detection (UAD) models promise to aid in the crucial first step of disease detection. Whi
Externí odkaz:
https://doaj.org/article/d62efed5f9a843a4a8bf244eda853221
Autor:
Olga Zolotareva, Reza Nasirigerdeh, Julian Matschinske, Reihaneh Torkzadehmahani, Mohammad Bakhtiari, Tobias Frisch, Julian Späth, David B. Blumenthal, Amir Abbasinejad, Paolo Tieri, Georgios Kaissis, Daniel Rückert, Nina K. Wenke, Markus List, Jan Baumbach
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-26 (2021)
Abstract Aggregating transcriptomics data across hospitals can increase sensitivity and robustness of differential expression analyses, yielding deeper clinical insights. As data exchange is often restricted by privacy legislation, meta-analyses are
Externí odkaz:
https://doaj.org/article/5c366bccf02e4ca6913437d78c473f04
Autor:
Markus Ploner, Alena Buyx, Jens Gempt, Julijana Gjorgjieva, Ruth Müller, Josef Priller, Daniel Rückert, Bernhard Wolfrum, Simon N. Jacob
Publikováno v:
Nature Mental Health. 1:5-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::092394cb003ce459b0fa9d841a5aba12
https://doi.org/10.1038/s44220-022-00011-x
https://doi.org/10.1038/s44220-022-00011-x
Autor:
Josef A Buchner, Jan C Peeken, Lucas Etzel, Ivan Ezhov, Michael Mayinger, Sebastian M Christ, Thomas B Brunner, Andrea Wittig, Björn Menze, Claus Zimmer, Bernhard Meyer, Matthias Guckenberger, Nicolaus Andratschke, Rami A El Shafie, Jürgen Debus, Susanne Rogers, Oliver Riesterer, Katrin Schulze, Horst J Feldmann, Oliver Blanck, Constantinos Zamboglou, Konstantinos Ferentinos, Angelika Bilger, Anca L Grosu, Robert Wolff, Jan S Kirschke, Kerstin A Eitz, Stephanie E Combs, Denise Bernhardt, Daniel Rückert, Marie Piraud, Benedikt Wiestler, Florian Kofler
BackgroundMany automatic approaches to brain tumor segmentation employ multiple magnetic resonance imaging (MRI) sequences. The goal of this project was to compare different combinations of input sequences to determine which MRI sequences are needed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca8b0f17afc29386571657e6865c97ae
https://doi.org/10.1101/2023.05.02.23289342
https://doi.org/10.1101/2023.05.02.23289342
Autor:
Turkay Kart, Marc Fischer, Stefan Winzeck, Ben Glocker, Wenjia Bai, Robin Bülow, Carina Emmel, Lena Friedrich, Hans-Ulrich Kauczor, Thomas Keil, Thomas Kröncke, Philipp Mayer, Thoralf Niendorf, Annette Peters, Tobias Pischon, Benedikt Schaarschmidt, Börge Schmidt, Matthias Schulze, Lale Umutlu, Henry Völzke, Thomas Küstner, Fabian Bamberg, Bernhard Schoelkopf, Daniel Rückert, Sergios Gatidis
Large epidemiological studies such as the UK Biobank (UKBB) or German National Cohort (NAKO) provide unprecedented health-related data of the general population aiming to better understand determinants of health and disease. As part of these studies,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c938a38779d6b48bde7b5639e96a08da
https://doi.org/10.21203/rs.3.rs-1840125/v1
https://doi.org/10.21203/rs.3.rs-1840125/v1
Autor:
Congyu Zou, Mikhael Djajapermana, Utschick Wolfgang, Phillip Jan Müller, Daniel Rückert, Alexander Müller, Alexander Steger, Matthias Becker, Eimo Martens
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0e8da84e84f1179acb14415f5118abd
https://doi.org/10.2139/ssrn.4138904
https://doi.org/10.2139/ssrn.4138904
Autor:
Daniel Pinto dos Santos, Dominik Heim, Tobias Czempiel, Judith E. Spiro, Claus Zimmer, Nassir Navab, Jan S. Kirschke, Hendrik Burwinkel, Martin J. Gruber, Benedikt Wiestler, Florian Hinterwimmer, Matthias Keicher, Dennis M. Hedderich, Daniel Rückert
Publikováno v:
Healthcare, Vol 9, Iss 1278, p 1278 (2021)
Healthcare
Volume 9
Issue 10
Healthcare
Volume 9
Issue 10
Successful adoption of artificial intelligence (AI) in medical imaging requires medical professionals to understand underlying principles and techniques. However, educational offerings tailored to the need of medical professionals are scarce. To fill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9212e05fb94c559acffb1f886f105b0d
https://www.mdpi.com/2227-9032/9/10/1278
https://www.mdpi.com/2227-9032/9/10/1278
Autor:
Igor Lazic, Florian Hinterwimmer, Severin Langer, Florian Pohlig, Christian Suren, Fritz Seidl, Daniel Rückert, Rainer Burgkart, Rüdiger von Eisenhart-Rothe
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 8; Pages: 2147
Background: Machine Learning (ML) in arthroplasty is becoming more popular, as it is perfectly suited for prediction models. However, results have been heterogeneous so far. We hypothesize that an accurate ML model for outcome prediction in THA must
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c9ec74a6c3c1467ccfe5b5dc6e951a5
https://doi.org/10.3390/jcm11082147
https://doi.org/10.3390/jcm11082147
Autor:
Alessa Hering, Julia Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias Heinrich, Daniel Rueckert
This book constitutes the refereed proceedings of the 10th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Munich, Germany, in July 2022.The 11 full and poster papers together with 17 short papers
Autor:
Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach
This book constitutes the refereed proceedings of the 10th International Workshop on Clinical Image-Based Procedures, CLIP 2021, Second MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, First MICCAI Workshop, LL-COVID19, First Sec