| The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2014 | 4043 | 2014 |
| 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 | 1212 | 2018 |
| A brain tumor segmentation framework based on outlier detection M Prastawa, E Bullitt, S Ho, G Gerig Medical image analysis 8 (3), 275-283, 2004 | 812 | 2004 |
| Regional gray matter growth, sexual dimorphism, and cerebral asymmetry in the neonatal brain JH Gilmore, W Lin, MW Prastawa, CB Looney, YSK Vetsa, ... Journal of Neuroscience 27 (6), 1255-1260, 2007 | 470 | 2007 |
| Automatic segmentation of MR images of the developing newborn brain M Prastawa, JH Gilmore, W Lin, G Gerig Medical image analysis 9 (5), 457-466, 2005 | 398 | 2005 |
| Bach: Grand challenge on breast cancer histology images G Aresta, T Araújo, S Kwok, SS Chennamsetty, M Safwan, V Alex, ... Medical image analysis 56, 122-139, 2019 | 394 | 2019 |
| Automatic brain tumor segmentation by subject specific modification of atlas priors1 M Prastawa, E Bullitt, N Moon, K Van Leemput, G Gerig Academic radiology 10 (12), 1341-1348, 2003 | 300 | 2003 |
| Morphometry of anatomical shape complexes with dense deformations and sparse parameters S Durrleman, M Prastawa, N Charon, JR Korenberg, S Joshi, G Gerig, ... NeuroImage 101, 35-49, 2014 | 242 | 2014 |
| Simulation of brain tumors in MR images for evaluation of segmentation efficacy M Prastawa, E Bullitt, G Gerig Medical image analysis 13 (2), 297-311, 2009 | 185 | 2009 |
| Multi-modal image set registration and atlas formation P Lorenzen, M Prastawa, B Davis, G Gerig, E Bullitt, S Joshi Medical image analysis 10 (3), 440-451, 2006 | 137 | 2006 |
| Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction A Irimia, B Wang, SR Aylward, MW Prastawa, DF Pace, G Gerig, ... NeuroImage: Clinical 1 (1), 1-17, 2012 | 132 | 2012 |
| Dark regions of no-reflow on late gadolinium enhancement magnetic resonance imaging result in scar formation after atrial fibrillation ablation C McGann, E Kholmovski, J Blauer, S Vijayakumar, T Haslam, J Cates, ... Journal of the American College of Cardiology 58 (2), 177-185, 2011 | 127 | 2011 |
| Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain N Sadeghi, M Prastawa, PT Fletcher, J Wolff, JH Gilmore, G Gerig Neuroimage 68, 236-247, 2013 | 92 | 2013 |
| Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... Progression Assessment, and Overall Survival Prediction in the BRATS …, 2018 | 80 | 2018 |
| Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy M Signaevsky, M Prastawa, K Farrell, N Tabish, E Baldwin, N Han, ... Laboratory Investigation 99 (7), 1019-1029, 2019 | 77 | 2019 |
| Comparison of acute and chronic traumatic brain injury using semi-automatic multimodal segmentation of MR volumes A Irimia, MC Chambers, JR Alger, M Filippou, MW Prastawa, B Wang, ... Journal of Neurotrauma 28 (11), 2287-2306, 2011 | 74 | 2011 |
| Synthetic ground truth for validation of brain tumor MRI segmentation M Prastawa, E Bullitt, G Gerig Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005: 8th …, 2005 | 62 | 2005 |
| Robust estimation for brain tumor segmentation M Prastawa, E Bullitt, S Ho, G Gerig Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003: 6th …, 2003 | 60 | 2003 |
| Effects of healthy aging measured by intracranial compartment volumes using a designed MR brain database B Mortamet, D Zeng, G Gerig, M Prastawa, E Bullitt Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005: 8th …, 2005 | 57 | 2005 |
| Topology preserving atlas construction from shape data without correspondence using sparse parameters S Durrleman, M Prastawa, JR Korenberg, S Joshi, A Trouvé, G Gerig Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012 | 52 | 2012 |
Guido GerigNYU Tandon School of Engineering, CSE DepartmentVerified email at nyu.edu
