6 citations · 11 across the 5 of their papers we have counts for
5 papers
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation
Jie Luo, Matt Toews, Ines Machado +10
A reliable Ultrasound (US)-to-US registration method to compensate for brain shift would substantially improve Image-Guided Neurological Surgery. Developing such a registration met…
Variational Inference for Gaussian Process with Panel Count Data
Hongyi Ding, Young Lee, Issei Sato +1
We present the first framework for Gaussian-process-modulated Poisson processes when the temporal data appear in the form of panel counts. Panel count data frequently arise when ex…
Misdirected Registration Uncertainty
Jie Luo, Karteek Popuri, Dana Cobzas +3
Being a task of establishing spatial correspondences, medical image registration is often formalized as finding the optimal transformation that best aligns two images. Since the tr…
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling
Hongyi Ding, Mohammad Emtiyaz Khan, Issei Sato +1
Analyzing the underlying structure of multiple time-sequences provides insights into the understanding of social networks and human activities. In this work, we present the \emph{B…
Reinterpreting the Transformation Posterior in Probabilistic Image Registration
Jie Luo, Karteek Popuri, Dana Cobzas +2
Probabilistic image registration methods estimate the posterior distribution of transformation. The conventional way of interpreting the transformation posterior is to use the mode…