most citedGBM Volumetry using the 3D Slicer Medical Image Computing Platform

259 citations · 260 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV20181 cited

Deep Information Theoretic Registration

Alireza Sedghi, Jie Luo, Alireza Mehrtash +5

This paper establishes an information theoretic framework for deep metric based image registration techniques. We show an exact equivalence between maximum profile likelihood and m…

cs.CV2018

Repeatability of Multiparametric Prostate MRI Radiomics Features

Michael Schwier, Joost van Griethuysen, Mark G Vangel +7

In this study we assessed the repeatability of the values of radiomics features for small prostate tumors using test-retest Multiparametric Magnetic Resonance Imaging (mpMRI) image…

cs.CV2018

Semi-Supervised Deep Metrics for Image Registration

Alireza Sedghi, Jie Luo, Alireza Mehrtash +5

Deep metrics have been shown effective as similarity measures in multi-modal image registration; however, the metrics are currently constructed from aligned image pairs in the trai…

cs.CV2018

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…

cs.CV2013259 cited

GBM Volumetry using the 3D Slicer Medical Image Computing Platform

Jan Egger, Tina Kapur, Andriy Fedorov +7

Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MR…