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 | 1787 | 2018 |
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 | 76 | 2018 |
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 | 22 | 2020 |
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 | 22 | 2019 |
International MICCAI Brainlesion Workshop M Shaikh, G Anand, G Acharya, A Amrutkar, V Alex, G Krishnamurthi Springer, 2017 | 6 | 2017 |