Laura Daza
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Year
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
2832018
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
462018
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
92017
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
32019
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
32017
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
SIMBA: Specific Identity Markers for Bone Age Assessment
C González, M Escobar, L Daza, F Torres, G Triana, P Arbeláez
arXiv preprint arXiv:2007.05454, 2020
2020
Learning to segment brain tumors
L Daza, C Gómez, P Arbeláez
15th International Symposium on Medical Information Processing and Analysis …, 2020
2020
LUCAS: LUng CAncer Screening with Multimodal Biomarkers
L Daza, A Castillo, M Escobar, S Valencia, B Pinzón, P Arbeláez
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