250 citations · 531 across the 23 of their papers we have counts for
25 papers
Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO)
Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna +2
The extraction of consensus segmentations from several binary or probabilistic masks is important to solve various tasks such as the analysis of inter-rater variability or the fusi…
Real-Time Dynamic Data Driven Deformable Registration for Image-Guided Neurosurgery: Computational Aspects
Nikos Chrisochoides, Andrey Fedorov, Yixun Liu +10
Current neurosurgical procedures utilize medical images of various modalities to enable the precise location of tumors and critical brain structures to plan accurate brain tumor re…
Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery
Nikos Chrisochoides, Andriy Fedorov, Fotis Drakopoulos +9
During neurosurgery, medical images of the brain are used to locate tumors and critical structures, but brain tissue shifts make pre-operative images unreliable for accurate remova…
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Huiyu Li, Nicholas Ayache, Hervé Delingette
In privacy-preserving machine learning, it is common that the owner of the learned model does not have any physical access to the data. Instead, only a secured remote access to a d…
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou, Hoang Ngan Le, Khoa Luu +2
Deep reinforcement learning (DRL) augments the reinforcement learning framework, which learns a sequence of actions that maximizes the expected reward, with the representative powe…
Combining Bayesian and Deep Learning Methods for the Delineation of the Fan in Ultrasound Images
Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau +2
Ultrasound (US) images usually contain identifying information outside the ultrasound fan area and manual annotations placed by the sonographers during exams. For those images to b…