Our colleague André Anjos, head of our Biosignal Processing group, speaked during the IFI colloquium talks organized by the Department of Informatics of University of Zurich on April 29, 2021.
Medical Artificial Intelligence
Group News
What if artificial intelligence could analyze an electro-cardiogram (ECG) or a medical image scan and highlight results that physicians should be looking at in priority? Thanks to signal and image processing, and machine learning techniques, that is the goal of the new Biosignal Processing Group at the Idiap Research Institute.
Idiap Research Institute and the School of Engineering at EPFL invite applications for the directorship of Idiap. The successful candidate will also hold a faculty position as full professor at EPFL School of Engineering.
Group Job Openings
Our group is regularly posting job openings ranging from internships to researcher positions. To check the opportunities currently available or to submit a speculative applications use the link below.Our group is regularly posting job openings ranging from internships to researcher positions. To check the opportunities currently available or to submit a speculative applications use the link below.
Current Group Members
The group is led by André Anjos.
RABELLO DOS ANJOS, André
(Research Scientist)
- website
JIMÉNEZ DEL TORO, Oscar (Alfonso)
(Postdoctoral Researcher)
- website
ÖZBULAK, Gokhan
(PhD Student / Research Assistant)
- website
MENENDEZ RUIZ DE AZUA, Pablo
(Research Intern)
KOPP, Damian
(Research Intern)
PULVIRENTI, Roberto
(Research Intern)
ARMANI RENZO, Matheus
(Research Intern)
QUEIROZ NETO, Dilermando
(Visitor)
PALLANCA, Olivier
(Visitor)
- website
Alumni
Please note that this list is not exhaustive.
Active Research Grants
- CAD4IED - Computer assisted detection and grading of inflammatory eye diseases via fluorescein angiograms and novel biomarkers
- COLLABCLOUD - A Collaborative Research Cloud Infrastructure powering Discovery and Exchange
- FAIRMI - FairMI - Machine Learning Fairness with Application to Medical Images
- MELAS-KPI - Towards the development of predictive biomarkers for patient stratification and immunotherapy response in cancer