Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lachinov, Dmitry"'
In this paper, we address the problem of automatic three-dimensional cephalometric analysis. Cephalometric analysis performed on lateral radiographs doesn't fully exploit the structure of 3D objects due to projection onto the lateral plane. With the
Externí odkaz:
http://arxiv.org/abs/2007.10052
Autor:
Kavur, A. Emre, Gezer, N. Sinem, Barış, Mustafa, Aslan, Sinem, Conze, Pierre-Henri, Groza, Vladimir, Pham, Duc Duy, Chatterjee, Soumick, Ernst, Philipp, Özkan, Savaş, Baydar, Bora, Lachinov, Dmitry, Han, Shuo, Pauli, Josef, Isensee, Fabian, Perkonigg, Matthias, Sathish, Rachana, Rajan, Ronnie, Sheet, Debdoot, Dovletov, Gurbandurdy, Speck, Oliver, Nürnberger, Andreas, Maier-Hein, Klaus H., Akar, Gözde Bozdağı, Ünal, Gözde, Dicle, Oğuz, Selver, M. Alper
Publikováno v:
Med. Image Anal. 69 (2021) 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) have introduced new state-of-the-art segmentation systems. In order to expand t
Externí odkaz:
http://arxiv.org/abs/2001.06535
Autor:
Lachinov, Dmitry, Turlapov, Vadim
The problem of non-rigid point set registration is a key problem for many computer vision tasks. In many cases the nature of the data or capabilities of the point detection algorithms can give us some prior information on point sets distribution. In
Externí odkaz:
http://arxiv.org/abs/1812.05869
MRI analysis takes central position in brain tumor diagnosis and treatment, thus it's precise evaluation is crucially important. However, it's 3D nature imposes several challenges, so the analysis is often performed on 2D projections that reduces the
Externí odkaz:
http://arxiv.org/abs/1810.04008
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
Akademický článek
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Autor:
Kavur AE; Graduate School of Natural and Applied Sciences, Dokuz Eylul University, Izmir, Turkey., Gezer NS; Department of Radiology, Faculty Of Medicine, Dokuz Eylul University, Izmir, Turkey., Barış M; Department of Radiology, Faculty Of Medicine, Dokuz Eylul University, Izmir, Turkey., Aslan S; Ca' Foscari University of Venice, ECLT and DAIS, Venice, Italy; Ege University, International Computer Institute, Izmir, Turkey., Conze PH; IMT Atlantique, LaTIM UMR 1101, Brest, France., Groza V; Median Technologies, Valbonne, France., Pham DD; Intelligent Systems, Faculty of Engineering, University of Duisburg-Essen, Germany., Chatterjee S; Data and Knowledge Engineering Group, Otto von Guericke University, Magdeburg, Germany; Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Germany., Ernst P; Data and Knowledge Engineering Group, Otto von Guericke University, Magdeburg, Germany., Özkan S; Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey., Baydar B; Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey., Lachinov D; Department of Ophthalmology and Optometry, Medical Uni. of Vienna, Austria., Han S; Johns Hopkins University, Baltimore, USA., Pauli J; Intelligent Systems, Faculty of Engineering, University of Duisburg-Essen, Germany., Isensee F; Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany., Perkonigg M; CIR Lab Dept of Biomedical Imaging and Image-guided Therapy Medical Uni. of Vienna, Austria., Sathish R; Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India., Rajan R; School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India., Sheet D; Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India., Dovletov G; Intelligent Systems, Faculty of Engineering, University of Duisburg-Essen, Germany., Speck O; Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Germany., Nürnberger A; Data and Knowledge Engineering Group, Otto von Guericke University, Magdeburg, Germany., Maier-Hein KH; Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany., Bozdağı Akar G; Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey., Ünal G; Faculty of Computer and Informatics Engineering, İstanbul Technical University, İstanbul, Turkey., Dicle O; Department of Radiology, Faculty Of Medicine, Dokuz Eylul University, Izmir, Turkey., Selver MA; Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey. Electronic address: alper.selver@deu.edu.tr.
Publikováno v:
Medical image analysis [Med Image Anal] 2021 Apr; Vol. 69, pp. 101950. Date of Electronic Publication: 2020 Dec 25.