“Shaping the Future through Innovations: From Medical Imaging to Precision Medicine”, Comaniciu et al., Medical Image Analysis, 2016
Designing an inverse modeling approach to estimate the parameters of a computational model of cardiac function can be challenging, in particular when available clinical data is sparse and noisy. Instead, we propose to train an artificial agent exactly like a new user is trained: first learn how the computational model behaves by random and playful experiments. Then let it devise the optimal strategy for parameter identification through reinforcement learning. Applied on several problems, the agent could learn its new task and perform it much more efficiently and accurately than available inverse modeling strategies!
“A Self-Taught Artificial Agent for Multi-Physics Computational Model Personalization“, D. Neumann et al., Medical Image Analysis 2016
A big congratulations to the team (Ingmar Voigt, Razvan Ionasec, Etienne Assoumou Mengue, Bogdan Georgescu and Dorin Comaniciu) for receiving the NJ 2015 Patent Award in medical informatics, for our patent on “Valve Treatment Simulation from Medical Diagnostic Imaging Data” (U.S. Patent 8,920,322). More information here.
Chloé Audigier received the Outstanding Paper Award for the below paper at the 6th International Workshop on Abdominal Imaging: Computational and Clinical Applications, held in conjunction with MICCAI 2014 on September 14, 2014, Cambridge, USA. The Outstanding Paper Award aims at recognizing outstanding scientific work and clinical applications that are presented at the workshop.
Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation C. Audigier, T Mansi, H. Delingette, S. Rapaka, V. Mihalef, D. Carnegie, E. Boctor, M. Choti, A. Kamen, D. Comaniciu, and N. Ayache
A big congratulation to Oliver Zettinig who won the prestigious MICCAI Young Scientist Award for the paper “Towards patient-specific models of cardiac electrophysiology thanks to a clever personalization of a concise model from clinical ECG measurements”!
Congratulation also to Ozan Oktay, who also got the honorable mention for his paper “Biomechanically Driven Registration of Pre- to Intra- Operative 3D Images for Laparoscopic Surgery”.
More information here.