Mateo Gerónimo Ortiz Cruzate
Researcher - Prostate Lesion Segmentation
Professional profile
Master ’ s student in Systems Engineering with a passion for artificial intelligence , deep learning , and medical image segmentation . Experienced in research , model optimization , and deployment using Python , Docker , and computer vision techniques
Work experience
Worked on multi-scale super-resolution for low-resolution satellite images using deep learning architectures.
Major achievementImplemented Autoencoder and U-Net architectures for super-resolution; evaluated with SSIM and PSNR metrics.
Worked on clinically significant prostate lesion segmentation using deep learning, geometric descriptors, and Docker for deployment.
Major achievementResearched medical image segmentation using convolutional networks and SPD-based descriptors; optimized models and deployed with Docker.
Compared object detection models, annotated datasets, and analyzed performance metrics (AP50, mAP) for firearm detection.
Major achievementEvaluated YOLO and DETR models for firearm detection; led data preprocessing and annotation for computer vision tasks.
Education experience
Universidad industrial de santander | Profesional
