Zobrazeno 1 - 10
of 444
pro vyhledávání: '"Koitka, A"'
Autor:
Koitka, Sven, Baldini, Giulia, Schmidt, Cynthia S., Pollok, Olivia B., Pelka, Obioma, Kohnke, Judith, Borys, Katarzyna, Friedrich, Christoph M., Schaarschmidt, Benedikt M., Forsting, Michael, Umutlu, Lale, Haubold, Johannes, Nensa, Felix, Hosch, René
Traditional segmentation networks approach anatomical structures as standalone elements, overlooking the intrinsic hierarchical connections among them. This study introduces Softmax for Arbitrary Label Trees (SALT), a novel approach designed to lever
Externí odkaz:
http://arxiv.org/abs/2407.08878
Autor:
Rückert, Johannes, Bloch, Louise, Brüngel, Raphael, Idrissi-Yaghir, Ahmad, Schäfer, Henning, Schmidt, Cynthia S., Koitka, Sven, Pelka, Obioma, Abacha, Asma Ben, de Herrera, Alba G. Seco, Müller, Henning, Horn, Peter A., Nensa, Felix, Friedrich, Christoph M.
Automated medical image analysis systems often require large amounts of training data with high quality labels, which are difficult and time consuming to generate. This paper introduces Radiology Object in COntext version 2 (ROCOv2), a multimodal dat
Externí odkaz:
http://arxiv.org/abs/2405.10004
Autor:
Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia S. Schmidt, Sven Koitka, Obioma Pelka, Asma Ben Abacha, Alba G. Seco de Herrera, Henning Müller, Peter A. Horn, Felix Nensa, Christoph M. Friedrich
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Automated medical image analysis systems often require large amounts of training data with high quality labels, which are difficult and time consuming to generate. This paper introduces Radiology Object in COntext version 2 (ROCOv2), a multi
Externí odkaz:
https://doaj.org/article/b4e8b98ac67946b9834c61a88bd33d04
Autor:
Sven Koitka, Giulia Baldini, Lennard Kroll, Natalie van Landeghem, Olivia B. Pollok, Johannes Haubold, Obioma Pelka, Moon Kim, Jens Kleesiek, Felix Nensa, René Hosch
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract The Sparsely Annotated Region and Organ Segmentation (SAROS) dataset was created using data from The Cancer Imaging Archive (TCIA) to provide a large open-access CT dataset with high-quality annotations of body landmarks. In-house segmentati
Externí odkaz:
https://doaj.org/article/ad60a52684864fe9b70bb7ded3057d72
Autor:
Dirk Westhölter, Johannes Haubold, Matthias Welsner, Luca Salhöfer, Johannes Wienker, Sivagurunathan Sutharsan, Svenja Straßburg, Christian Taube, Lale Umutlu, Benedikt M. Schaarschmidt, Sven Koitka, Sebastian Zensen, Michael Forsting, Felix Nensa, René Hosch, Marcel Opitz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract A poor nutritional status is associated with worse pulmonary function and survival in people with cystic fibrosis (pwCF). CF transmembrane conductance regulator modulators can improve pulmonary function and body weight, but more data is need
Externí odkaz:
https://doaj.org/article/f083b010ca674e2bb98c97dac99faa1a
Autor:
Dieter P. Hoyer, Saskia Ting, Nina Rogacka, Sven Koitka, René Hosch, Nils Flaschel, Johannes Haubold, Eugen Malamutmann, Björn-Ole Stüben, Jürgen Treckmann, Felix Nensa, Giulia Baldini
Publikováno v:
Journal of Pathology Informatics, Vol 15, Iss , Pp 100345- (2024)
Introduction: Perihilar cholangiocarcinoma (PHCC) is a rare malignancy with limited survival prediction accuracy. Artificial intelligence (AI) and digital pathology advancements have shown promise in predicting outcomes in cancer. We aimed to improve
Externí odkaz:
https://doaj.org/article/1fba50fd11954cf6bc0d7d706821aaef
Autor:
Alexandra Viktoria Busley, Óscar Gutiérrez-Gutiérrez, Elke Hammer, Fabian Koitka, Amin Mirzaiebadizi, Martin Steinegger, Constantin Pape, Linda Böhmer, Henning Schroeder, Mandy Kleinsorge, Melanie Engler, Ion Cristian Cirstea, Lothar Gremer, Dieter Willbold, Janine Altmüller, Felix Marbach, Gerd Hasenfuss, Wolfram-Hubertus Zimmermann, Mohammad Reza Ahmadian, Bernd Wollnik, Lukas Cyganek
Publikováno v:
Cell Reports, Vol 43, Iss 7, Pp 114448- (2024)
Summary: Noonan syndrome patients harboring causative variants in LZTR1 are particularly at risk to develop severe and early-onset hypertrophic cardiomyopathy. In this study, we investigate the mechanistic consequences of a homozygous variant LZTR1L5
Externí odkaz:
https://doaj.org/article/199d047ff2b846ddbbff360254a381ed
Autor:
Busley, Alexandra Viktoria, Gutiérrez-Gutiérrez, Óscar, Hammer, Elke, Koitka, Fabian, Mirzaiebadizi, Amin, Steinegger, Martin, Pape, Constantin, Böhmer, Linda, Schroeder, Henning, Kleinsorge, Mandy, Engler, Melanie, Cirstea, Ion Cristian, Gremer, Lothar, Willbold, Dieter, Altmüller, Janine, Marbach, Felix, Hasenfuss, Gerd, Zimmermann, Wolfram-Hubertus, Ahmadian, Mohammad Reza, Wollnik, Bernd, Cyganek, Lukas
Publikováno v:
In Cell Reports 23 July 2024 43(7)
Autor:
Yap, Moi Hoon, Cassidy, Bill, Byra, Michal, Liao, Ting-yu, Yi, Huahui, Galdran, Adrian, Chen, Yung-Han, Brüngel, Raphael, Koitka, Sven, Friedrich, Christoph M., Lo, Yu-wen, Yang, Ching-hui, Li, Kang, Lao, Qicheng, Ballester, Miguel A. González, Carneiro, Gustavo, Ju, Yi-Jen, Huang, Juinn-Dar, Pappachan, Joseph M., Reeves, Neil D., Chandrabalan, Vishnu, Dancey, Darren, Kendrick, Connah
Publikováno v:
In Medical Image Analysis May 2024 94
Autor:
Keyl, J., Bucher, A., Jungmann, F., Hosch, R., Ziller, A., Armbruster, R., Malkomes, P., Reissig, T.M., Koitka, S., Tzianopoulos, I., Keyl, P., Kostbade, K., Albers, D., Markus, P., Treckmann, J., Nassenstein, K., Haubold, J., Makowski, M., Forsting, M., Baba, H.A., Kasper, S., Siveke, J.T., Nensa, F., Schuler, M., Kaissis, G., Kleesiek, J., Braren, R.
Publikováno v:
In ESMO Open January 2024 9(1)