Laura Daza

Laura Daza

PhD Student

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About Me

I am a Ph.D. student in Engineering and a Research Assistant in the Biomedical Computer Vision Group led by Professor Pablo Arbeláez at Universidad de los Andes. My areas of interest are Computer Vision, Machine Learning and Deep Learning, as well as their application to biomedical problems. My current research is focused on the analysis of 3D diagnostic images to facilitate the segmentation of different regions of interest, such as brain tumors, lung nodules and hepatic vessels. I also work on automatic bone age assesment for determining delayed development in children.

Awards

Google's Latin America Research Awards (LARA), 2019
Lung Nodule Detection and Malignancy Prediction Using Multimodal Neural Networks

Laura Daza and Pablo Arbeláez

Research Projects

project name

Brain Tumor Segmentation

Brain tumors are abnormal formations of mass that apply pressure to the surrounding tissues,causing several health problems such as unexplained nausea, seizures, personality changes or even death. Brain lesion segmentation is a critical application of computer vision to the biomedical image analysis. The difficulty is derived from the great variance between instances, and the high computational cost of processing three dimensional data.

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project name

Bone Age Assessment

Bone Age assessment is a critical factor for determining delayed development in children, which can be a sign of pathologies such as endocrine diseases, growth abnormalities, chromosomal, neurological and congenital disorders among others. Typically, specialists such as pediatric endocrinologists inspect visually an X-ray of the non-dominant hand of the child and compare them against examples from atlases to estimate bone age and predict adult height.

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Publications

Hand Pose Estimation for Pediatric Bone Age Assessment
Maria Escobar*, Cristina González*, Felipe Torres Figueroa, Laura Daza, Gustavo Triana and Pablo Arbeláez

22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

Learning to Segment Brain Tumors
Laura Daza, Catalina Gómez and Pablo Arbeláez

15th International Symposium on Medical Information Processing and Analysis (SIPAIM), 2019.

An Empirical Study on Global Bone Age Assessment
Felipe Torres, Cristina González, María Camila Escobar, Laura Daza, Gustavo Triana, Pablo Arbeláez

15th International Symposium on Medical Information Processing and Analysis (SIPAIM), 2019.

Brain Tumor Segmentation and Parsing on MRIs using Multiresolution Neural Networks
Laura Castillo*, Laura Daza*, Luis Rivera*, Pablo Arbeláez

International MICCAI Brainlesion Workshop, 2018.

Volumetric multimodality neural network for brain tumor segmentation
Laura Castillo*, Laura Daza*, Luis Rivera*, Pablo Arbeláez

13th International Symposium on Medical Information Processing and Analysis (SIPAIM), 2017.

Volumetric multimodality neural network for brain tumor segmentation
Laura Castillo*, Laura Daza*, Luis Rivera*, Pablo Arbeláez

International MICCAI BraTS Challenge proceedings, 2017.