Talks & Media

KeynoteSep 2026EN

ShapeMI Workshop @ MICCAI 2026

Keynote speaker at the ShapeMI workshop at MICCAI 2026, with a talk on anatomically plausible shapes for medical image segmentation using hybrid graph neural networks.

Event page → InterviewSep 2026ES

El Enjambre IA

Interview on El Enjambre IA (in Spanish) about our work on algorithmic fairness.

Watch on YouTube → PanelSep 2026ES

El impacto de la IA en la investigación científica, Exactas UBA

Participation in a panel organized by Exactas UBA, with researchers from the Faculty of Exact and Natural Sciences, on how artificial intelligence is changing scientific research (in Spanish).

Watch on YouTube → SeminarMay 2026EN

CAIM Talk, Medical University of Vienna

Invited talk at the seminar of the Center for Artificial Intelligence in Medicine (CAIM) at the Medical University of Vienna, on robust anatomical segmentation of medical images.

Event page → SeminarApr 2026EN

Pattern Recognition Lab, FAU Erlangen-Nürnberg

Invited talk at the Pattern Recognition Lab of FAU Erlangen-Nürnberg, on robust anatomical segmentation of medical images.

Event page → InterviewNov 2025ES

El Colectivo

Interview on El Colectivo (in Spanish) about my AI research and its applications in health.

Watch on YouTube → WebinarNov 2025EN

Datasets through the Looking Glass, Webinar

Webinar in the Datasets through the Looking Glass series, dedicated to the data behind artificial intelligence systems, about our experience creating the CheXMask dataset.

Watch on YouTube → WebinarJun 2025EN

FUTURE-AI Webinar #3

Participation in the third webinar organized by the international FUTURE-AI network.

Watch on YouTube → InterviewNov 2024ES

LAB (Laboratorio de Ideas), Episode 01

Interview with Claudio Martínez in the first episode of LAB (Laboratorio de Ideas), in Spanish.

Watch on YouTube → TalkJun 2024ES

Dátame! LCD talks, Universidad de Buenos Aires

Talk in the series of the Data Science degree at the University of Buenos Aires, giving a tour of the recent history of deep learning, from AlexNet to ChatGPT (in Spanish).

Event page → SeminarMay 2024ES

iHEALTH Seminar, Pontificia Universidad Católica de Chile

Invited seminar at iHEALTH, Pontificia Universidad Católica de Chile, on fairness in machine learning for medical image analysis (in Spanish).

Event page → PodcastMar 2024EN

AI-ready Healthcare: Fairness in Medical AI

Conversation with Anirban Mukhopadhyay and Henry Krumb (46 minutes) about fairness in artificial intelligence applied to medicine.

Listen on Spotify → SeminarOct 2023EN

DATAIA Seminar, Université Paris-Saclay

Invited seminar at DATAIA, Université Paris-Saclay, on improving anatomical plausibility and auditing fairness in deep segmentation networks.

Watch on YouTube → InterviewAug 2023ES

Desde el Conocimiento

Interview on Desde el Conocimiento (in Spanish) about using artificial intelligence to predict health diagnoses.

Watch on YouTube → PressAug 2023ES

La Nación: “Google destacó un proyecto argentino que busca sesgos en inteligencia artificial aplicada a la medicina”

Article in La Nación (in Spanish) about our project funded by Google’s Award for Inclusion Research (Google AIR), which develops methods to detect biases in AI systems for medical imaging before they are deployed.

Read article → LecturesApr 2023EN

IEEE EMBS Summer School on Biomedical Imaging, Cartagena

Lectures at the IEEE EMBS Summer School on Biomedical Imaging (Cartagena, Colombia), focused on advanced deep learning for medical imaging: anatomical plausibility and fairness.

Event page → SeminarNov 2022EN

Pioneer Centre for AI, Copenhagen

Invited seminar at the Pioneer Centre for AI (Copenhagen) on fairness of machine learning in medical image analysis.

Event page → PodcastJan 2022ES

TN Podcast, Se tildó: “El algoritmo nos discrimina”

Interview with Jason Mayne on TN's podcast Se tildó, titled “El algoritmo nos discrimina” (“The algorithm discriminates against us”), on algorithmic bias (in Spanish).

Listen on Spotify → SeminarDec 2021EN

AI for Good, ITU (United Nations)

Invited seminar at AI for Good, the United Nations (ITU) platform, on fairness of machine learning classifiers in medical image analysis.

Event page → SeminarNov 2021EN

Responsible AI Seminar, Technical University of Denmark

Seminar at the Technical University of Denmark (DTU) on gender bias in chest X-ray classifiers.

Watch on YouTube → KeynoteMay 2021EN

Khipu 2021

Keynote at Khipu 2021 on self-supervised learning in biomedical image analysis, together with Yann LeCun and Sandra Avila.

Watch recording → PressNov 2020EN

Scientific American: “Health Care AI Systems Are Biased”

Scientific American article featuring our PNAS study on how gender imbalance in medical imaging datasets leads to biased computer-aided diagnosis systems.

Read article → SeminarSep 2020EN

Johns Hopkins University (CIS & MINDS)

Invited seminar at the CIS and MINDS centers of Johns Hopkins University on anatomically plausible medical image segmentation, registration and reconstruction.

Watch recording → Journal clubAug 2020EN

Stanford AIMI Journal Club

Presentation at the Stanford AIMI journal club of our study showing how gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis.

Watch on YouTube → PressMay 2020EN

STAT News: “AI systems are worse at diagnosing disease when training data is skewed by sex”

Article by Rebecca Robbins on our PNAS study, which found that chest X-ray classifiers trained on data that underrepresents one sex are less accurate for patients of that sex.

Read article → PlenaryNov 2019EN

Khipu 2019, Montevideo

Plenary talk at Khipu 2019 (Montevideo), the first Latin American meeting on AI, with an introduction to convolutional neural networks.

Watch on YouTube →