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Profil
| Derzeitige Stellung | Professor W-1 und Äquivalente |
|---|---|
| Fachgebiet | Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous and Wearable Computing,Medizininformatik und medizinische Bioinformatik |
| Keywords | fairness in machine learning, biomedical image registration, biomedical image segmentation, computer vision, robustness and fairness in machine learning |
| Auszeichnungen | 2025: Distinguished International Associate Award of the Royal Academy of Engineering (UK) 2020: Mercosur Science and Technology Award 2020: Young Researcher Award of the National Academy of Exact, Physical and Natural Sciences of Argentina |
Aktuelle Kontaktadresse
| Land | Deutschland |
|---|---|
| Ort | München |
| Universität/Institution | Technische Universität München |
Gastgeber*innen während der Förderung
| Prof. Dr. Daniel Rückert | Technische Universität München, München |
|---|---|
| Beginn der ersten Förderung | 01.03.2026 |
Programm(e)
| 2025 | Friedrich Wilhelm Bessel-Forschungspreis-Programm |
|---|
Projektbeschreibung der*des Nominierenden
| Dr. Ferrante is internationally recognised for his contributions to AI and computer vision for biomedical image analysis, and for his influential leadership in advancing AI research and capacity in Latin America. His work has contributed to core medical imaging areas, from image registration and segmentation to robust and fair AI systems for clinical decision support. Dr. Ferrante’s pioneering work on bias in medical image classifiers has helped establish the field of fairness of AI in medical imaging. During his stay in Germany, he will continue his research on devising more reliable and fairer machine-learning models for medical imaging. |