Zobrazeno 1 - 10
of 59
pro vyhledávání: '"M A Selver"'
Autor:
A. Emre Kavur, Naciye Sinem Gezer, Mustafa Barış, Yusuf Şahin, Savaş Özkan, Bora Baydar, Ulaş Yüksel, Çağlar Kılıkçıer, Şahin Olut, Gözde Bozdağı Akar, Gözde Ünal, Oğuz Dicle, M. Alper Selver
Publikováno v:
Diagnostic and Interventional Radiology, Vol 26, Iss 1, Pp 11-21 (2020)
PURPOSE:To compare the accuracy and repeatability of emerging machine learning based (i.e. deep) automatic segmentation algorithms with those of well-established semi-automatic (interactive) methods for determining liver volume in living liver transp
Externí odkaz:
https://doaj.org/article/20139c9b3c984837993694b11ba5322f
Publikováno v:
Convolutional Neural Networks for Medical Image Processing Applications ISBN: 9781003215141
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b11417c5b1290773955a39d2c39ccd69
https://doi.org/10.1201/9781003215141-3
https://doi.org/10.1201/9781003215141-3
Publikováno v:
The Imaging Science Journal. 67:123-135
Image compression has become an inevitable tool along with the advancing medical data acquisition and telemedicine systems. The run-length encoding (RLE), one of the most effective and practical lossless compression techniques, is widely used in two-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::823345b8df0b68b0b01f683bb1e3a69c
https://doi.org/10.1080/13682199.2019.1565695
https://doi.org/10.1080/13682199.2019.1565695
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
Object classification using late-time resonant scattering electromagnetic signals is a significant problem found in different areas of application. Due to their unique properties, spherical objects play an essential role in this field both as a chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a413275cc0248baa5fccef7c15ee46b
https://avesis.deu.edu.tr/publication/details/cdfe497c-7d5f-4b4f-a01a-a862b13f8e25/oai
https://avesis.deu.edu.tr/publication/details/cdfe497c-7d5f-4b4f-a01a-a862b13f8e25/oai
Autor:
M. Alper Selver
The amount, distribution, and morphology of the impurities in a marble block determine both its aesthetic quality and compressive strength (CS). Although the former property has been studied extensively, CS prediction is rarely investigated. The exis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a30a3e00bd375007f163e867feacf2c4
https://avesis.deu.edu.tr/publication/details/34e73356-fda8-451f-9c00-2cea1ff8994c/oai
https://avesis.deu.edu.tr/publication/details/34e73356-fda8-451f-9c00-2cea1ff8994c/oai
Publikováno v:
AICCSA
© 2020 IEEE.Pedestrian Detection (PD) is one of the most challenging problems for advanced driving assistance systems. Although deep models have achieved significant performance, their limited generalization ability prevents real-life implementation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0774b0cf4858d25cb9988d3096e3661b
https://avesis.deu.edu.tr/publication/details/42e1c775-ae08-4612-af6e-7fc6e4066e15/oai
https://avesis.deu.edu.tr/publication/details/42e1c775-ae08-4612-af6e-7fc6e4066e15/oai
Publikováno v:
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE).
© 2020 IEEE.Evolutionary enhancements are involved by deep learning in computer vision for getting better performance at human-computer interaction. One of the subjects that are known as Pedestrian Detection (PD), is criticized with a lot of problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::573781b73a1e6d39db26e19f68b7733b
https://doi.org/10.1109/icecce49384.2020.9179457
https://doi.org/10.1109/icecce49384.2020.9179457
2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 -- 15 October 2020 through 17 October 2020 -- -- 165305
This study presents and discusses the outcomes of different de-noising approaches, which are applied to low SN
This study presents and discusses the outcomes of different de-noising approaches, which are applied to low SN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411a919fd224c9f7f9d0a3b065792add
https://hdl.handle.net/11454/71055
https://hdl.handle.net/11454/71055
Autor:
Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, Ali Emre Kavur, Pierre-Henri Conze, François Rousseau, Emilie Cornec-Le Gall
Publikováno v:
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine, Elsevier, 2021, 117, pp.102109. ⟨10.1016/j.artmed.2021.102109⟩
Artificial Intelligence in Medicine, Elsevier, 2021, 117, pp.102109. ⟨10.1016/j.artmed.2021.102109⟩
Objective : Abdominal anatomy segmentation is crucial for numerous applications from computer-assisted diagnosis to image-guided surgery. In this context, we address fully-automated multi-organ segmentation from abdominal CT and MR images using deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c92eeba9be57000e1c7498ab230f245