Joaquín De Ferrari

PhD student in Computer Science at UC Chile. I work on machine learning for medical imaging and clinical language, with a focus on models that learn from the imperfect supervision real hospitals produce.

Currently: 3D vision-language models for chest CT at the Millennium Institute iHealth.

A predicted mask (red) in the right upper lobe. Drag to rotate.

Selected publications

All publications

A Framework for Extraction of Clinical Information from Radiological Mammography Reports Using Large Language Models and Retrieval Augmented Generation

Godoy, E.*, De Ferrari, J.*, Lazo, S., Pacheco, C., Mellado, D., Saez, A., Chabert, S., Salas, R.

BMC Medical Informatics and Decision Making, Vol. 26, Article 345, 2026.

Co-first authorWoS Q1DOI: 10.1186/s12911-026-03633-8
Assessing GPT as a Weak Oracle for Annotating Radiological Studies

De Ferrari, J., Ñanculef, R., Benoit, D., Araya, M., Solar, M.

Artificial Intelligence in Medicine (AIME 2025), Pavia, Italy, LNCS vol. 15734, pp. 98–109, Springer, 2025.

First authorOral presentationDOI: 10.1007/978-3-031-95838-0_10
Automatic detection of contextual laterality in Mammography Reports using Large Language Models

Godoy, E.*, De Ferrari, J.*, Chabert, S., Mellado, D., Salas, R.

IEEE International Conference on Pattern Recognition Systems (ICPRS 2024), London, UK, pp. 1–6, 2024.

Co-first authorDOI: 10.1109/ICPRS62101.2024.10677842

From my notes

All notes

Study notes from my courses, with interactive figures you can play with.

Computer Vision

Homogeneous coordinates

Points and lines in the plane, summarized for review, with interactive figures.

Joaquín De Ferrari

Selected publications

From my notes

Homogeneous coordinates