Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Josef Pauli"'
Publikováno v:
Jurnal Teknologi dan Sistem Komputer, Vol 9, Iss 3, Pp 174-179 (2021)
It is necessary to conserve important information, like edges, details, and textures, in CT aortic dissection images, as this helps the radiologist examine and diagnose the disease. Hence, a less noisy image is required to support medical experts in
Externí odkaz:
https://doaj.org/article/c50b6ecf11484405b4cb6b78b7260b77
Autor:
Gurbandurdy Dovletov, Utku Karadeniz, Stefan Lörcks, Josef Pauli, Marcel Gratz, Harald H. Quick
Publikováno v:
Image Analysis ISBN: 9783031314377
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7849617d79f1aa37bec8cbd54d11b8ba
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85161381117
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85161381117
Autor:
Josef Pauli, Martin Moder
Dense crowds are challenging scenes for an autonomous mobile robot. Planning in such an interactive environment requires predicting uncertain human intention and reaction to future robot actions. Concerning these capabilities, we propose a probabilis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c610bf955401f018ee4667042b1c217
https://doi.org/10.36227/techrxiv.19739467
https://doi.org/10.36227/techrxiv.19739467
Autor:
Stefan Lörcks, Josef Pauli
In recent years, hyperspectral imaging (HSI) has emerged to become a crucial method for both remote sensing and close-range surface analysis. In this paper, we present substantial upgrades of our previously published system for multispectral and hype
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87ebedf78548d563276b9024e8d804d0
In this paper, we propose 2D MRI-based pseudo-CT (pCT) generation approaches that are inspired by U-Net and generative adversarial networks (GANs) and that additionally utilize coarse bone segmentation guided attention (SGA) mechanisms for better ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4966955e268aa738eb1b7103f0e00ee6
Autor:
Gurbandurdy Dovletov, Duc Duy Pham, Stefan Lorcks, Josef Pauli, Marcel Gratz, Harald H. Quick
In this paper, we address the task of image-to-image translation from MRI to CT domain. We propose a 2D U-Net-based deep learning approach for pseudo-CT synthesis that incorporates an additional Grad-CAM guided attention mechanism for superior image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a58da4e994e19171c9a123971e7a180
https://www.ncbi.nlm.nih.gov/pubmed/36086041
https://www.ncbi.nlm.nih.gov/pubmed/36086041
Autor:
Savas Ozkan, N. Sinem Gezer, Dmitrii Lachinov, Debdoot Sheet, Fabian Isensee, Gozde Bozdagi Akar, M. Alper Selver, Soumick Chatterjee, Oliver Speck, A. Emre Kavur, Sinem Aslan, Josef Pauli, Oğuz Dicle, Gozde Unal, Pierre-Henri Conze, Andreas Nürnberger, Klaus H. Maier-Hein, Gurbandurdy Dovletov, Ronnie Rajan, Vladimir Groza, Rachana Sathish, Bora Baydar, Matthias Perkonigg, Shuo Han, Philipp Ernst, Duc Duy Pham, Mustafa Baris
Publikováno v:
Medical Image Analysis
Medical Image Analysis, Elsevier, 2021, 69, ⟨10.1016/j.media.2020.101950⟩
Medical Image Analysis, Elsevier, 2021, 69, ⟨10.1016/j.media.2020.101950⟩
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) introduced new state-of-the-art segmentation systems. Despite outperforming the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::062a182f507db13c73a8422353093c1a
https://hdl.handle.net/10278/3736173
https://hdl.handle.net/10278/3736173
Publikováno v:
ISBI
In this paper we address the task of unsupervised domain adaptation for multi-label classification problems with convolutional neural networks. We particularly consider the domain shift in between X-ray data sets. Domain adaptation between different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0099807b4b7f3938dbe65ea74ea7f40b
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85107184317
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85107184317