I'm a passionate scientist and educator, holding a MSc. in Electrical Engineering (2012, cum laude) and a PhD in Computer Vision (2017, cum laude). Driven by a personal tragedy, a passion for science and a desire to contribute to this world, I apply my understanding of machine learning and computer vision in healthcare, where I aim to develop novel assistive technologies for medical doctors, helping them with early diagnosis and effective treatment of disease. In particular, in the field of Medical Image Analysis, my research focuses on Computer-Aided Detection and Diagnosis (CADe/CADx) for oncology, striving to increase the detection rates and early diagnosis of developing cancer -- thereby vastly increasing the chances of survival for patients. Towards this goal, I'm working closely with medical specialists in an interdisciplinary team, aiming to translate medical domain knowledge into technical algorithms and vice versa.
Associate professor
Fons van der Sommen
Contact
fvdsommen@tue.nl
Flux 5.092
Department
Electrical Engineering
Group
Healthcare