Career Profile

I am an undergraduate student in Computer Science and Biomedical Engineering. My main interests include machine learning, computer vision, biomedical image analysis and natural language processing. I am currently seeking an internship or research opportunity that will allow me to further develop my abilities in the field of computer science.

Experience

Undergraduate research assistant,

Biomedical Computer Vision

Jan 2018 - Present
Universidad de los Andes, Bogotá
  • Member of the Biomedical Computer Vision (BCV) group at Uniandes led by Prof. Pablo Arbeláez.
  • Applying computer science skills in biomedical imaging problems.
  • Working on teams to develop automated solutions to biomedical problems.
  • Writing paper submissions for international conferences.
  • Undergraduate teaching assistant

    Jan 2017 - Dec 2018
    Universidad de los Andes, Bogotá

    In carge of assisting students during midterms and office hours, designing and grading midterms, designing review exercises for each class and review lessons.

  • Analysis and Processing of Biomedical Images
  • Scientific Programming
  • Algorithm and Object-Oriented Programming I
  • Freshman students' Support Program
  • Conferences

    International Conference on Medical Image Computing and Computer
    Assisted Intervention (MICCAI)

    Oct 2019
    Shenzhen, China

    The project Hand Pose Estimation for Pediatric Bone Age Assessment accepted as an oral presentation in the category of Computer Aided Diagnosis, Detection and Classification with an acceptance rate of less than 3%

    International Symposium on Medical Information Processing and Analysis

    Nov 2019
    Medellín, Colombia

    The project An Empirical Study on Global Bone Age Assessment was accepted as an oral presentation.

    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.

    An Empirical Study on Global Bone Age Assessment

    Felipe Torres, Cristina González, Maria C. Escobar, Laura Daza, Gustavo Triana and Pablo Arbeláez
    15th International Symposium on Medical Information Processing and Analysis (SIPAIM), 2019.

    Awards

    Robust Medical Instrument Segmentation (ROBUST-MIS) Challenge 2019

    Oct 2019
    Laura Bravo*, Cristina González* and Pablo Arbeláez
    Endoscopic Vision Challenge, MICCAI 2019

    1st place:

  • Multiple Instance Detection task.
  • Normalized Surface Dice Generalization ranking of the Multiple Instance Segmentation task.

  • 2nd place:

  • Dice Similarity Coefficient Generalization ranking of the Multiple Instance Segmentation task.
  • Dice Similarity Coefficient Robustness ranking of the Multiple Instance Segmentation task.
  • Normalized Surface Dice Robustness ranking of the Multiple Instance Segmentation task.

  • Our performance shows that our method was the most robust of the competition.

    Skills & Proficiency

    Pytorch

    Python

    Matlab

    Java

    JavaScript

    SQL