Western University – IBM Research Collaboration
My post-doctoral fellowship (codename PERSEUS for PERceptive UltraSound) was all about using AI to identify anatomical regions in ultrasound images of the spine. This is a very hard task for any human (and most machines), but worth exploring as it could help minimize damage to the spine in procedures such as epidural injections and spinal taps (lumbar punctures).
ICCV Poster – Short Presentation
Ph.D. in Biomedical Engineering
Western University, Canada
My doctoral research focused on diagnosing temporal lobe epilepsy using magnetic resonance imaging (MRI). You can find my thesis here. For this, I studied quantitative imaging (pure T1 and T2 maps) along with diffusion tensor imaging (DTI) and I performed machine learning analyses. My algorithms were implemented using python numpy and the scikit-learn library. The results were published in the Computerized Medical Imaging and Graphics Journal
Master’s degree in Systems and Computing Engineering
University of The Andes, Colombia
My master’s project consisted of the measurement of atherosclerotic plaque from CT images, in the context of cardiovascular disease. For this purpose, I implemented the fast marching algorithm in C++ to model and 3D print vascular models. With my interest in software design, my code followed the OSGI specification. Since OSGI is a Java-native component-based architecture, I wrote and tested the corresponding C++ framework. My master thesis received the “Gonzalo Esguerra” national award conferred by the Colombian Radiology Association.
Bachelor’s degree in Automation Engineering (Robotics)
La Salle University, Colombia
My final year project was a robot that was able to follow a person’s gaze and then use this information to position the cursor on a computer screen. This final project consisted of a pan-tilt mechanism, the control, and communications circuitry, and software. The relevant code was written using the Java Media Framework and LabView.