Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Razmara, Majid"'
Medical image diagnosis can be achieved by deep neural networks, provided there is enough varied training data for each disease class. However, a hitherto unknown disease class not encountered during training will inevitably be misclassified, even if
Externí odkaz:
http://arxiv.org/abs/2104.07819
Autor:
Menzies, Scott W *, Sinz, Christoph, Menzies, Michelle, Lo, Serigne N, Yolland, William, Lingohr, Johann, Razmara, Majid, Tschandl, Philipp, Guitera, Pascale, Scolyer, Richard A, Boltz, Florentina, Borik-Heil, Liliane, Herbert Chan, Hsien, Chromy, David, Coker, David J, Collgros, Helena, Eghtedari, Maryam, Corral Forteza, Marina, Forward, Emily, Gallo, Bruna, Geisler, Stephanie, Gibson, Matthew, Hampel, Amelie, Ho, Genevieve, Junez, Laura, Kienzl, Philipp, Martin, Arthur, Moloney, Fergal J, Regio Pereira, Amanda, Ressler, Julia Maria, Richter, Susanne, Silic, Katharina, Silly, Thomas, Skoll, Michael, Tittes, Julia, Weber, Philipp, Weninger, Wolfgang, Weiss, Doris, Woo-Sampson, Ping, Zilberg, Catherine, Kittler, Harald
Publikováno v:
In The Lancet Digital Health October 2023 5(10):e679-e691
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features
Publikováno v:
Tschandl P, Argenziano G, Razmara M, Yap J. Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features. Br J Dermatol 2018 Sep 12. doi: 10.1111/bjd.17189
Background: Automated classification of medical images through neural networks can reach high accuracy rates but lack interpretability. Objectives: To compare the diagnostic accuracy obtained by using content based image retrieval (CBIR) to retrieve
Externí odkaz:
http://arxiv.org/abs/1810.09487
Autor:
Razmara, Majid
The importance of Question Answering is growing with the expansion of information and text documents on the web. Techniques in Question Answering have significantly improved during the last decade especially after the introduction of TREC Question An
Externí odkaz:
http://spectrum.library.concordia.ca/976071/1/MR45712.pdf
Publikováno v:
In Computerized Medical Imaging and Graphics 2011 35(2):137-143
Akademický článek
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Autor:
Razmara, Majid
Statistical machine translation (SMT) is often faced with the problem of having insufficient training data for many language pairs. We propose several approaches to leveraging other available sources in SMT systems to enhance the quality of translati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______497::62ba15eba18ec978e1a68bc184f04f96
http://summit.sfu.ca/item/13542
http://summit.sfu.ca/item/13542
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate sentences in a new domain. We propose a novel approach, ensemble decoding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1674::3e403efef45df79a57712aa409843116
https://nrc-publications.canada.ca/eng/view/object/?id=3a79c192-af06-4ff4-84a8-fbc03003c772
https://nrc-publications.canada.ca/eng/view/object/?id=3a79c192-af06-4ff4-84a8-fbc03003c772
Autor:
King, David B., Sixsmith, Andrew, Shahir, Hamed Yaghoubi, Sadeghi, Maryam, Razmara, Majid, O'Rourke, Norm
Publikováno v:
Gerontechnology; 2016, Vol. 14 Issue 2, p105-109, 5p
Autor:
Sankaran, Baskaran, Razmara, Majid, Farzindar, Atefeh, Khreich, Wael, Popowich, Fred, Sarkar, Anoop
Publikováno v:
Advances in Artificial Intelligence (9783642303524); 2012, p158-169, 12p