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Laura Daza
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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
9432018
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
1152018
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, BA Landman, G Litjens, ...
arXiv preprint arXiv:2106.05735, 2021
542021
Hand pose estimation for pediatric bone age assessment
M Escobar, C González, F Torres, L Daza, G Triana, P Arbeláez
International conference on medical image computing and computer-assisted …, 2019
182019
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
182017
Brain tumor segmentation and parsing on mris using multiresolution neural networks
LS Castillo, LA Daza, LC Rivera, P Arbeláez
International MICCAI Brainlesion Workshop, 332-343, 2017
112017
Towards robust general medical image segmentation
L Daza, JC Pérez, P Arbeláez
International Conference on Medical Image Computing and Computer-Assisted …, 2021
52021
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
52021
SIMBA: Specific identity markers for bone age assessment
C González, M Escobar, L Daza, F Torres, G Triana, P Arbeláez
International Conference on Medical Image Computing and Computer-Assisted …, 2020
52020
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
42020
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
32021
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
22020
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
2022
Modeling Protein-Ligand Interactions with Graph Convolutional Networks for Interpretable Pharmaceutical Discovery
PR Puentes, L Rueda-Gensini, N Valderrama, I Hernández, C González, ...
2022
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
2021
SAMA: Spatially-Aware Multimodal Network with Attention For Early Lung Cancer Diagnosis
M Roa, L Daza, M Escobar, A Castillo, P Arbelaez
International Workshop on Multimodal Learning for Clinical Decision Support …, 2021
2021
Learning to segment brain tumors
L Daza, C Gómez, P Arbeláez
15th International Symposium on Medical Information Processing and Analysis …, 2020
2020
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