Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dovletov, Gurbandurdy"'
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:
Pham, Duc Duy, Dovletov, Gurbandurdy, Warwas, Sebastian, Landgraeber, Stefan, Jäger, Marcus, Pauli, Josef
We propose a 2D Encoder-Decoder based deep learning architecture for semantic segmentation, that incorporates anatomical priors by imitating the encoder component of an autoencoder in latent space. The autoencoder is additionally enhanced by means of
Externí odkaz:
http://arxiv.org/abs/1903.09263
Publikováno v:
Pattern Recognition
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
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
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2022 Jul; Vol. 2022, pp. 2071-2075.
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.