Zobrazeno 1 - 8
of 8
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
This two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in Lapland, Finland, in April 2023.The 67 revised papers presented were carefully reviewed and selected
This book constitutes the refereed proceedings of the 42nd German Conference on Pattern Recognition, DAGM GCPR 2020, which took place during September 28 until October 1, 2020. The conference was planned to take place in Tübingen, Germany, but had t
This volume constitutes the refereed proceedings of the 21st Scandinavian Conference on Image Analysis, SCIA 2019, held in Norrköping, Sweden, in June 2019. The 40 revised papers presented were carefully reviewed and selected from 63 submissions. Th