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Mazhar Shaikh
Mazhar Shaikh
Researcher, connectome.design, Tokyo
Bestätigte E-Mail-Adresse bei connectome.design - Startseite
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Zitiert von
Zitiert von
Jahr
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
17872018
Brain tumor segmentation using dense fully convolutional neural network
M Shaikh, G Anand, G Acharya, A Amrutkar, V Alex, G Krishnamurthi
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
762018
System and method for using images for automatic visual inspection with machine learning
SJ Subramanian, AH Khan, S Sharma, M Shaikh
US Patent App. 16/131,456, 2020
222020
Recurrent attention mechanism networks for enhanced classification of biomedical images
M Shaikh, VA Kollerathu, G Krishnamurthi
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
222019
International MICCAI Brainlesion Workshop
M Shaikh, G Anand, G Acharya, A Amrutkar, V Alex, G Krishnamurthi
Springer, 2017
62017
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