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 | 1198 | 2018 |
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 | 79 | 2018 |
Boosting antenatal care attendance and number of hospital deliveries among pregnant women in rural communities: a community initiative in Ghana based on mobile phones … KPAC Benjamin Amoah, Evelyn A. Anto, Prince K. Osei BMC pregnancy and childbirth 16 (1), 1--10, 2016 | 44 | 2016 |
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC … A Crimi, S Bakas, H Kuijf, B Menze, M Reyes Springer, 2018 | 38 | 2018 |
Brainlesion: Glioma A Crimi, S Bakas, H Kuijf, B Menze, M Reyes Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International …, 2017 | 35 | 2017 |
Predictive Value of Imaging Markers at Multiple Sclerosis Disease Onset Based on Gadolinium- and USPIO-Enhanced MRI and Machine Learning A Crimi, O Commowick, A Maarouf, JC Ferre, E Bannier, A Tourbah, ... PLOS-ONE, 2014 | 30 | 2014 |
Whole brain optoacoustic tomography reveals strain-specific regional beta-amyloid densities in Alzheimer’s disease amyloidosis models R Ni, XL Dean-Ben, D Kirschenbaum, M Rudin, Z Chen, A Crimi, FF Voigt, ... bioRxiv, 2020.02. 25.964064, 2020 | 25 | 2020 |
Springer: Cham A Crimi, S Bakas, H Kuijf, F Keyvan, M Reyes, T van Walsum Switzerland, 2020 | 22 | 2020 |
Automatic Measurement of Venous Pressure Using B-Mode Ultrasound A Crimi, M Makhinya, U Baumann, O Thalhammer, C. Goksel Biomedical Engineering, IEEE Transactions on, 1, 2015 | 22 | 2015 |
Genome-wide association study of brain connectivity changes for Alzheimer’s disease SSM Elsheikh, ER Chimusa, NJ Mulder, A Crimi Scientific reports 10 (1), 1433, 2020 | 21 | 2020 |
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain … A Crimi, S Bakas, H Kuijf, F Keyvan, M Reyes, T van Walsum Springer, 2019 | 20 | 2019 |
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany … A Crimi, B Menze, O Maier, M Reyes, H Handels Springer, 2016 | 19 | 2016 |
Case-control discrimination through effective brain connectivity A Crimi, L Dodero, V Murino, D Sona 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 16 | 2017 |
Segmentation of ultrasound images of fetal anatomic structures using random forest for low-cost settings EA Anto, B Amoah, A Crimi 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 16 | 2015 |
Structurally Constrained Effective Brain Connectivity A Crimi, L Dodero, F Sambataro, V Murino, D Sona NeuroImage 239 (1), 118288, 2021 | 14 | 2021 |
Overlaps in brain dynamic functional connectivity between schizophrenia and autism spectrum disorder A Andriamananjara, R Muntari, A Crimi Scientific African 2, e00019, 2019 | 12 | 2019 |
Multi-stage association analysis of glioblastoma gene expressions with texture and spatial patterns SSM Elsheikh, S Bakas, NJ Mulder, ER Chimusa, C Davatzikos, A Crimi Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 11 | 2019 |
MultiLink analysis: brain network comparison via sparse connectivity analysis A Crimi, L Giancardo, F Sambataro, A Gozzi, V Murino, D Sona Scientific reports 9 (1), 65, 2019 | 9 | 2019 |
Automatic fetal measurements for low-cost settings by using local phase bone detection B Amoah, EA Anto, A Crimi 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 9 | 2015 |
A bayesian framework for automated cardiovascular risk scoring on standard lumbar radiographs K Petersen, M Ganz, P Mysling, M Nielsen, L Lillemark, A Crimi, ... IEEE Transactions on Medical Imaging 31 (3), 663-676, 2011 | 9 | 2011 |