C
Csaba Pinter
Researcher at Queen's University
Publications - 42
Citations - 928
Csaba Pinter is an academic researcher from Queen's University. The author has contributed to research in topics: Medicine & Software. The author has an hindex of 9, co-authored 34 publications receiving 658 citations.
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Journal ArticleDOI
PLUS: open-source toolkit for ultrasound-guided intervention systems.
TL;DR: A freely available open-source software platform-PLUS: Public software Library for Ultrasound-to facilitate rapid prototyping of ultrasound-guided intervention systems for translational clinical research and to become a widely used translational research prototyping platform.
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SlicerRT: radiation therapy research toolkit for 3D Slicer.
TL;DR: SlicerRT aspires to be an open-source toolkit for RT research, providing fast computations, convenient workflows for researchers, and a general image-guided therapy infrastructure to assist clinical translation of experimental therapeutic approaches.
Journal ArticleDOI
Perk Tutor: An Open-Source Training Platform for Ultrasound-Guided Needle Insertions
Tamas Ungi,Derek Sargent,Eric M. Moult,Andras Lasso,Csaba Pinter,Robert McGraw,Gabor Fichtinger +6 more
TL;DR: The Perk Tutor is provided as a free resource to enable research and development of educational programs for US-guided intervention and provides the trainee with quantitative feedback on progress toward the specific learning objectives of each configuration.
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Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.
Tina Kapur,Steve Pieper,Andriy Fedorov,Jean-Christophe Fillion-Robin,Michael Halle,Lauren J. O'Donnell,Andras Lasso,Tamas Ungi,Csaba Pinter,Julien Finet,Sonia Pujol,Jayender Jagadeesan,Junichi Tokuda,Isaiah Norton,Raúl San José Estépar,David T. Gering,Hugo J.W.L. Aerts,Marianna Jakab,Nobuhiko Hata,Luiz Ibanez,Daniel J. Blezek,James H. Miller,Stephen R. Aylward,W. Eric L. Grimson,Gabor Fichtinger,William M. Wells,William E. Lorensen,William J. Schroeder,Ron Kikinis +28 more
TL;DR: What are gaps in the way medical image computing is pursued today; how a well-executed research platform can enable discovery, innovation and reproducible science ("Open Science"); and how the quest to build such a software platform has evolved into a productive and rewarding social engineering exercise in building an open-access community with a shared vision are discussed.
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Polymorph segmentation representation for medical image computing.
TL;DR: A generic software library has been designed and developed for automatic management of multiple data formats in segmentation tasks, enabling fast and convenient manual workflows and quicker and more robust software prototyping.