PhD Position in Computer Vision/Artificial Intelligence for Healthcare
Self-supervision for Anatomy and Activity Recognition in Endoscopic Videos
The operating room is a high-tech environment in which the surgical devices generate a lot of data about the underlying surgical activities. Our research group aims at making use of this large amount of multi-modal data coming from both cameras and surgical devices to develop an artificial intelligence system that can assist clinicians and staff in the surgical workflow. A core component of such an AI assistance system is the recognition of the surgical activities performed by clinicians and staff.
Surgical activities can be easily captured in surgical videos, but their annotations is highly challenging and costly due to the nature of the videos. In traditional computer vision, recent work has demonstrated the high potential of self-supervision methods for reducing the required amount of annotations, but little work has been done on clinical data.
This PhD fellowship will focus on designing and evaluating self-supervision methods to exploit large datasets of unlabelled endoscopic videos, with the goal to improve the segmentation and recognition of surgical anatomy and activity. One major clinical application will be the automated assessment of critical safety steps during the performance of the surgery. To carry out this work, the successful candidate will have access to a unique database of videos stemming from several clinical institutions and also have the possibility to interact with highly motivated clinicians. By providing news ways to scale up recognition with unlabelled data, he/she will facilitate the deployment of AI in hospitals.
Requirements:
- Master in Computer Science or equivalent
- C++/Python programming skills
- Strong knowledge in computer vision and machine learning
- Proficiency in English (oral and written)
- Experience with Deep Learning is a plus
Environment:
The position is located in Strasbourg, France. Strasbourg is a lively, green and cosmopolitan city situated in the heart of Europe and is also home to the European parliament. The successful candidate will be hosted within the AI team of the IHU institute at the University Hospital of Strasbourg. He/She will thereby have direct contact with clinicians, industrial partners and also have access to an exceptional international research environment offering state-of-the-art computing resources and unique clinical facilities. This PhD fellowship is funded by project AI4ORSafety, one of the 43 French national Chairs in Artificial Intelligence.
Benefits:
Cutting-edge research in an interdisciplinary and leading international research environment
Ability to work at the forefront of a rapidly growing field at the intersection of computer science, artificial intelligence and medicine
Development of real-world AI-based solutions for the operating room
To Apply:
Please send a long CV, motivation letter and academic transcripts to Nicolas Padoy.
Links:
ICube laboratory
IRCAD Institute
IHU MixSurg Institute
Laboratory of excellence CAMI