In order to combine preoperative data with intraoperative scans for image-guided neurosurgery visualization, accurate registration is necessary. It has been determined previously t...
Corey Kemper, Ion-Florin Talos, Alexandra Golby, P...
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...
Detection of the best symmetry plane in 3D images can be treated as a registration problem between the original and the reflected images. The registration is performed in a 3D sp...
Alexander V. Tuzikov, Olivier Colliot, Isabelle Bl...
This paper introduces new parsing and context-aware scanning algorithms in which the scanner uses contextual information to disambiguate lexical syntax. The parser uses a slightly...
Multi-category bootstrapping algorithms were developed to reduce semantic drift. By extracting multiple semantic lexicons simultaneously, a category's search space may be res...