| 22q11. 2 deletion syndrome in diverse populations P Kruszka, YA Addissie, DE McGinn, AR Porras, E Biggs, M Share, ... American Journal of Medical Genetics Part A 173 (4), 879-888, 2017 | 142 | 2017 |
| Down syndrome in diverse populations P Kruszka, AR Porras, AK Sobering, FA Ikolo, S La Qua, V Shotelersuk, ... American Journal of Medical Genetics Part A 173 (1), 42-53, 2017 | 106 | 2017 |
| Noonan syndrome in diverse populations P Kruszka, AR Porras, YA Addissie, A Moresco, S Medrano, GTK Mok, ... American Journal of Medical Genetics Part A 173 (9), 2323-2334, 2017 | 91 | 2017 |
| Williams–Beuren syndrome in diverse populations P Kruszka, AR Porras, DH De Souza, A Moresco, V Huckstadt, AD Gill, ... American Journal of Medical Genetics Part A 176 (5), 1128-1136, 2018 | 79 | 2018 |
| 3D strain assessment in ultrasound (straus): A synthetic comparison of five tracking methodologies M De Craene, S Marchesseau, B Heyde, H Gao, M Alessandrini, ... IEEE transactions on medical imaging 32 (9), 1632-1646, 2013 | 79 | 2013 |
| Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study AR Porras, K Rosenbaum, C Tor-Diez, M Summar, MG Linguraru The Lancet Digital Health 3 (10), e635-e643, 2021 | 53 | 2021 |
| Cornelia de Lange syndrome in diverse populations L Dowsett, AR Porras, P Kruszka, B Davis, T Hu, E Honey, E Badoe, ... American Journal of Medical Genetics Part A 179 (2), 150-158, 2019 | 51 | 2019 |
| Early detection of ureteropelvic junction obstruction using signal analysis and machine learning: a dynamic solution to a dynamic problem ES Blum, AR Porras, E Biggs, PR Tabrizi, RD Sussman, BM Sprague, ... The Journal of Urology 199 (3), 847-852, 2018 | 49 | 2018 |
| Identification of dysmorphic syndromes using landmark-specific local texture descriptors JJ Cerrolaza, AR Porras, A Mansoor, Q Zhao, M Summar, MG Linguraru 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1080-1083, 2016 | 48 | 2016 |
| Quantification of head shape from three-dimensional photography for presurgical and postsurgical evaluation of craniosynostosis AR Porras, L Tu, D Tsering, E Mantilla, A Oh, A Enquobahrie, R Keating, ... Plastic and reconstructive surgery 144 (6), 1051e-1060e, 2019 | 42 | 2019 |
| Using sequential pattern mining for links recommendation in adaptive hypermedia educational systems CR Morales, AR Porras, SV Soto, CH Martınez, A Zafra Current Developments in Technology-Assisted Education 2, 1016-1020, 2006 | 32 | 2006 |
| Locally affine diffeomorphic surface registration and its application to surgical planning of fronto-orbital advancement AR Porras, B Paniagua, S Ensel, R Keating, GF Rogers, A Enquobahrie, ... IEEE transactions on medical imaging 37 (7), 1690-1700, 2018 | 28 | 2018 |
| Personalized optimal planning for the surgical correction of metopic craniosynostosis AR Porras, D Zukic, A Equobahrie, GF Rogers, MG Linguraru Clinical Image-Based Procedures. Translational Research in Medical Imaging …, 2016 | 16 | 2016 |
| Unsupervised MRI homogenization: application to pediatric anterior visual pathway segmentation C Tor-Diez, AR Porras, RJ Packer, RA Avery, MG Linguraru Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 15 | 2020 |
| Analysis of 3D facial dysmorphology in genetic syndromes from unconstrained 2D photographs L Tu, AR Porras, A Boyle, MG Linguraru Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 15 | 2018 |
| Intracranial volume quantification from 3D photography L Tu, AR Porras, S Ensel, D Tsering, B Paniagua, A Enquobahrie, A Oh, ... International Workshop on Computer-Assisted and Robotic Endoscopy, 116-123, 2017 | 14 | 2017 |
| Temporal diffeomorphic free form deformation to quantify changes induced by left and right bundle branch block and pacing G Piella, AR Porras, M De Craene, N Duchateau, AF Frangi Statistical Atlases and Computational Models of the Heart. Imaging and …, 2013 | 14 | 2013 |
| FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare K Lekadir, A Feragen, AJ Fofanah, AF Frangi, A Buyx, A Emelie, A Lara, ... arXiv preprint arXiv:2309.12325, 2023 | 13 | 2023 |
| Objective differential diagnosis of Noonan and Williams–Beuren syndromes in diverse populations using quantitative facial phenotyping AR Porras, M Summar, MG Linguraru Molecular Genetics & Genomic Medicine, e1636, 2021 | 13 | 2021 |
| Interventional endocardial motion estimation from electroanatomical mapping data: Application to scar characterization AR Porras, G Piella, A Berruezo, C Hoogendoorn, D Andreu, ... IEEE Transactions on Biomedical Engineering 60 (5), 1217-1224, 2012 | 13 | 2012 |
