Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Duc-Duy Pham"'
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:
Kavur, A. Emre, Gezer, N. Sinem, Baris, Mustafa, Aslan, Sinem, Conze, Pierre-Henri, Groza, Vladimir, Duc Duy Pham, Chatterjee, Soumick, Ernst, Philipp, Ozkan, Savas, Baydar, Bora, Lachinov, Dmitry, Han, Shuo, Pauli, Josef, Isensee, Fabian, Perkonigg, Matthias, Sathish, Rachana, Rajan, Ronnie, Sheet, Debdoot, Dovletov, Gurbandurdy
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=r39c86a4b39b::0f51e6782253b3aa09576d30a1ac8e0d
https://aperta.ulakbim.gov.tr/record/232090
https://aperta.ulakbim.gov.tr/record/232090
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
Publikováno v:
BIOIMAGING
With the success of deep convolutional neural networks for semantic segmentation in the medical imaging domain, there is a high demand for labeled training data, that is often not available or expensive to acquire. Training with little data usually l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24b955f694fb640d7a614293c8f54c19
https://doi.org/10.5220/0010303101740181
https://doi.org/10.5220/0010303101740181
Publikováno v:
1ST VAN LANG INTERNATIONAL CONFERENCE ON HERITAGE AND TECHNOLOGY CONFERENCE PROCEEDING, 2021: VanLang-HeriTech, 2021.
Concrete-Filled Steel Tube (CFST) columns need to be reliably analyzed and estimated under axial compression. This research contributes to solving the above problem by using an integrated Ansys Workbench application, Ansys DesignXplorer. This approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a0fedfbac5db792f75fdbe4e99641b0
https://doi.org/10.1063/5.0067180
https://doi.org/10.1063/5.0067180
Autor:
Jonas Müller, Torsten Zesch, Josef Pauli, Duc Duy Pham, Amit Khatri, Piush Aggarwal, Mayank Sharma
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687625
ICPR Workshops (1)
ICPR Workshops (1)
While in developed countries routine dental consultations are often covered by insurance, access to prophylactic dental examinations is often expensive in developing countries. Therefore, sufficient oral health prevention, particularly early caries d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::108628182ea0fc3302b096f37e458a71
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85104336480
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85104336480
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030712778
GCPR
GCPR
In this paper we propose using a novel differentiable convolutional distance transform layer for segmentation networks such as U-Net to regularize the training process. In contrast to related work, we do not need to learn the distance transform, but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6657e71456995f716e1246a65c73d60b
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85104897100
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85104897100
Autor:
Duc Duy Pham, Gurbandurdy Dovletov, Marcus Jäger, Sebastian Serong, Josef Pauli, Stefan Landgraeber
Publikováno v:
Informatik aktuell ISBN: 9783658292669
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
In this paper, we present a 2D deep multitask learning approach for the segmentation of small structures on the example of avascular necrosis of the femoral head (AVNFH) in MRI. It consists of one joint encoder and three separate decoder branches, ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aabf7fd0142748a12e2957c660ea0a68
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85083078054
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85083078054
Autor:
Josef Pauli, Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Serong, Stefan Landgraeber, Marcus Jäger, Melanie Lausen
Publikováno v:
Informatik aktuell ISBN: 9783658292669
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
In this paper, we investigate the feasibility of using a standard U-Net for Few-Shot segmentation tasks in very constraint settings. We demonstrate on the example of femur segmentation in X-ray images, that a U-Net architecture only needs few samples
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cd486f481a412ebf4230a2b5594043e
https://doi.org/10.1007/978-3-658-29267-6_62
https://doi.org/10.1007/978-3-658-29267-6_62