| 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 | 1879 | 2018 |
| Deep Learning applied to NLP MM Lopez, J Kalita arXiv preprint arXiv:1703.03091, 2017 | 276 | 2017 |
| Dilated convolutions for brain tumor segmentation in MRI scans M Moreno Lopez, J Ventura Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 65 | 2018 |
| Evaluation of MRI denoising methods using unsupervised learning M Moreno López, JM Frederick, J Ventura Frontiers in Artificial Intelligence 4, 642731, 2021 | 33 | 2021 |
| Deep Learning for Brain Tumor Segmentation MM Lopez University of Colorado Colorado Springs, 2017 | 1 | 2017 |
| Evaluating the Interference of Noise when Performing MRI Segmentation MM Lopez University of Colorado Colorado Springs, 2021 | | 2021 |
