J
Julien Jomier
Researcher at Kitware
Publications - 46
Citations - 1316
Julien Jomier is an academic researcher from Kitware. The author has contributed to research in topics: Visualization & Image registration. The author has an hindex of 20, co-authored 44 publications receiving 1136 citations. Previous affiliations of Julien Jomier include University of North Carolina at Chapel Hill.
Papers
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Journal ArticleDOI
ITK: enabling reproducible research and open science
TL;DR: The multiple tools, methodologies, and practices that the ITK community has adopted, refined, and followed during the past decade, in order to become one of the research communities with the most modern reproducibility verification infrastructure are described.
Patent
Methods, systems, and computer program products for hierarchical registration between a blood vessel and tissue surface model for a subject and a blood vessel and tissue surface image for the subject
TL;DR: In this paper, a vascular model is mapped to a target image using a global rigid transformation to produce a global-rigid-transformed model and piecewise deformable transformations are applied to branches in the vascular tree in the piecewise-deformably transformed model.
Journal ArticleDOI
Registration and Analysis of Vascular Images
TL;DR: An evaluation of the consistency of that method for rigidly aligning images of tubes for three-dimensional images of human vasculature shows that the method's insensitivity to non-rigid deformations enables the localization, quantification, and visualization of those deformations.
Journal ArticleDOI
The Image-Guided Surgery Toolkit IGSTK: An Open Source C++ Software Toolkit
Andinet Enquobahrie,Patrick Cheng,Kevin Gary,Luis Ibanez,David G. Gobbi,Frank Lindseth,Ziv Yaniv,Stephen R. Aylward,Julien Jomier,Kevin Cleary +9 more
TL;DR: IGSTK is an open source C++ software library that provides the basic components needed to develop image-guided surgery applications and the IGSTK team is following several key strategies to build an active user community.
Journal ArticleDOI
Computer-automated quantification of plus disease in retinopathy of prematurity.
TL;DR: A computer program that captures digital images from a video-indirect ophthalmoscope, identifies and traces the major posterior pole blood vessels, measures the dilation and tortuosity of each vessel, and calculates whether or not an eye has plus disease has very good sensitivity and specificity compared with masked examiners' determination of the presence or absence of plus disease.