| 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 | 1366 | 2018 |
| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 255 | 2022 |
| ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ... Frontiers in neurology 9, 679, 2018 | 134 | 2018 |
| Hand pose estimation for pediatric bone age assessment M Escobar, C González, F Torres, L Daza, G Triana, P Arbeláez Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 33 | 2019 |
| Volumetric multimodality neural network for brain tumor segmentation LS Castillo, LA Daza, LC Rivera, P Arbeláez 13th international conference on medical information processing and analysis …, 2017 | 23 | 2017 |
| Towards robust general medical image segmentation L Daza, JC Pérez, P Arbeláez Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 16 | 2021 |
| SIMBA: Specific identity markers for bone age assessment C González, M Escobar, L Daza, F Torres, G Triana, P Arbeláez Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 11 | 2020 |
| Brain tumor segmentation and parsing on mris using multiresolution neural networks LS Castillo, LA Daza, LC Rivera, P Arbeláez Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 10 | 2018 |
| PharmaNet: Pharmaceutical discovery with deep recurrent neural networks P Ruiz Puentes, N Valderrama, C González, L Daza, C Muñoz-Camargo, ... Plos one 16 (4), e0241728, 2021 | 9 | 2021 |
| QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... arXiv preprint arXiv:2112.10074, 2021 | 8 | 2021 |
| Lung nodule malignancy prediction in sequential ct scans: Summary of isbi 2018 challenge Y Balagurunathan, A Beers, M Mcnitt-Gray, L Hadjiiski, S Napel, ... IEEE transactions on medical imaging 40 (12), 3748-3761, 2021 | 5 | 2021 |
| Lucas: Lung cancer screening with multimodal biomarkers L Daza, A Castillo, M Escobar, S Valencia, B Pinzón, P Arbeláez Multimodal Learning for Clinical Decision Support and Clinical Image-Based …, 2020 | 5 | 2020 |
| Video swin transformers for egocentric video understanding@ ego4d challenges 2022 M Escobar, L Daza, C González, J Pont-Tuset, P Arbeláez arXiv preprint arXiv:2207.11329, 2022 | 4 | 2022 |
| QU-BraTS: MICCAI BraTS 2020 Challenge on QuantifyingUncertainty in Brain Tumor Segmentation-Analysis of Ranking Scores and Benchmarking Results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... Journal of Machine Learning for Biomedical Imaging 1, 2022 | 4 | 2022 |
| Cerberus: a multi-headed network for brain tumor segmentation L Daza, C Gómez, P Arbeláez Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 4 | 2021 |
| Predicting target–ligand interactions with graph convolutional networks for interpretable pharmaceutical discovery P Ruiz Puentes, L Rueda-Gensini, N Valderrama, I Hernández, ... Scientific reports 12 (1), 1-17, 2022 | 3 | 2022 |
| An empirical study on global bone age assessment F Torres, C González, MC Escobar, L Daza, G Triana, P Arbeláez 15th International Symposium on Medical Information Processing and Analysis …, 2020 | 3 | 2020 |
| SAMA: Spatially-Aware Multimodal Network with Attention For Early Lung Cancer Diagnosis M Roa, L Daza, M Escobar, A Castillo, P Arbelaez Multimodal Learning for Clinical Decision Support: 11th International …, 2021 | 2 | 2021 |
| Adversarially Robust Panoptic Segmentation (ARPaS) Benchmark L Daza, J Pont-Tuset, P Arbeláez Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023 | | 2023 |
| Modeling Protein-Ligand Interactions with Graph Convolutional Networks for Interpretable Pharmaceutical Discovery PR Puentes, L Rueda-Gensini, N Valderrama, I Hernández, C González, ... | | 2022 |
Pablo ArbelaezUniversidad de los Andes, ColombiaVerified email at uniandes.edu.co
