Parnesh Raniga

22 papers A 1Journal 6Unranked 15
YearRankTypeTitle / Venue / Authors
2023 — conf
A FHIR Native Radiology Informatics Platform.
MedInfo
Parnesh Raniga, Hang Min, Hugo Leroux
2023 — conf
An Approach for Generating Realistic Australian Synthetic Healthcare Data.
MedInfo
Ibrahima Diouf, John Grimes, Mitchell J. O'Brien, Hamed Hassanzadeh, Donna Truran, Hoa Ngo, Parnesh Raniga, Michael Lawley, Denis C. Bauer, David P. Hansen, Sankalp Khanna, Roc Reguant
2023 — conf
An Informatics Platform for the Management of Data for Australian Dementia Network (ADNeT) Initiative.
MedInfo
Julie Trinder, Pierrick Bourgeat, Ying Xia, Jurgen Fripp, Parnesh Raniga
2023 A conf
DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations.
WACV
Joshua Peters, Léo Lebrat, Rodrigo Santa Cruz, Aaron Nicolson, Gregg Belous, Salamata Konate, Parnesh Raniga, Vincent Doré, Pierrick Bourgeat, Jurgen Mejan-Fripp, Clinton Fookes, Olivier Salvado
2021 — conf
Towards a generalization of the MP2RAGE partial volume estimation model to account for B1
ISBI
Jeremy Beaumont, Oscar Acosta, Parnesh Raniga, Giulio Gambarota, Jurgen Fripp
2018 — conf
A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging.
MICCAI (1)
Amir Fazlollahi, Scott Ayton, Pierrick Bourgeat, Ibrahima Diouf, Parnesh Raniga, Jurgen Fripp, James Doecke, David Ames, Colin L. Masters, Christopher C. Rowe, Victor L. Villemagne, Ashley I. Bush, Olivier Salvado
2018 J jnl
Combining images and anatomical knowledge to improve automated vein segmentation in MRI.
NeuroImage
Phillip G. D. Ward, Nicholas J. Ferris, Parnesh Raniga, David L. Dowe, Amanda C. L. Ng, David G. Barnes, Gary F. Egan
2018 — conf
Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI.
SASHIMI@MICCAI
Saba Momeni, Amir Fazlollahi, Pierrick Bourgeat, Parnesh Raniga, Paul A. Yates, Nawaf Yassi, Patricia M. Desmond, Jurgen Fripp, Yongsheng Gao, Olivier Salvado
2018 J jnl
MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting.
Comput. Medical Imaging Graph.
José V. Manjón, Pierrick Coupé, Parnesh Raniga, Ying Xia, Patricia M. Desmond, Jurgen Fripp, Olivier Salvado
2017 — conf
A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping.
ISBI
Amir Fazlollahi, Scott Ayton, Pierrick Bourgeat, Parnesh Raniga, Amanda Ng, Jurgen Fripp, David Ames, Colin L. Masters, Christopher C. Rowe, Victor L. Villemagne, Ashley I. Bush, Olivier Salvado
2017 — conf
Vein segmentation using shape-based Markov Random Fields.
ISBI
Phillip G. D. Ward, Nicholas J. Ferris, Parnesh Raniga, Amanda C. L. Ng, David G. Barnes, David L. Dowe, Gary F. Egan
2016 — conf
HIST: HyperIntensity Segmentation Tool.
Patch-MI@MICCAI
José V. Manjón, Pierrick Coupé, Parnesh Raniga, Ying Xia, Jurgen Fripp, Olivier Salvado
2015 J jnl
Design, implementation and operation of a multimodality research imaging informatics repository.
Health Inf. Sci. Syst.
Toàn D. Nguyên, Parnesh Raniga, David G. Barnes, Gary F. Egan
2014 — conf
New Partial Volume Estimation Methods for MRI MP2RAGE.
MICCAI (3)
Quentin Duché, Parnesh Raniga, Gary F. Egan, Oscar Acosta, Giulio Gambarota, Olivier Salvado, Hervé Saint-Jalmes
2014 J jnl
The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics research.
Frontiers Neuroinformatics
Wojtek Goscinski, Paul McIntosh, Ulrich Claus Felzmann, Anton Maksimenko, Christopher Hall, Timur Gureyev, Darren Thompson, Andrew L. Janke, Graham J. Galloway, Neil E. B. Killeen, Parnesh Raniga, Owen Kaluza, Amanda Ng, Govinda R. Poudel, David G. Barnes, Toàn D. Nguyên, C. Paul Bonnington, Gary F. Egan
2012 — conf
MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion.
MICCAI (2)
Luping Zhou, Olivier Salvado, Vincent Doré, Pierrick Bourgeat, Parnesh Raniga, Victor Villemagne, Christopher Rowe, Jurgen Fripp
2012 J jnl
Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images.
IEEE Trans. Medical Imaging
Shekhar S. Chandra, Jason Dowling, Kai-Kai Shen, Parnesh Raniga, Josien P. W. Pluim, Peter B. Greer, Olivier Salvado, Jurgen Fripp
2011 — conf
Local intensity model: An outlier detection framework with applications to white matter hyperintensity segmentation.
ISBI
Parnesh Raniga, Pierre Schmitt, Pierrick Bourgeat, Jurgen Fripp, Victor Villemagne, Christopher Rowe, Olivier Salvado
2008 J jnl
Appearance modeling of
NeuroImage
Jurgen Fripp, Pierrick Bourgeat, Oscar Acosta, Parnesh Raniga, Marc Modat, Kerryn E. Pike, Gareth Jones, Graeme O'Keefe, Colin L. Masters, David Ames, Kathryn A. Ellis, Paul Maruff, Jon Currie, Victor Villemagne, Christopher Rowe, Olivier Salvado, Sébastien Ourselin
2008 — conf
MR-Less High Dimensional Spatial Normalization of 11C PiB PET Images on a Population of Elderly, Mild Cognitive Impaired and Alzheimer Disease Patients.
MICCAI (1)
Jurgen Fripp, Pierrick Bourgeat, Parnesh Raniga, Oscar Acosta, Victor Villemagne, Gareth Jones, Graeme O'Keefe, Christopher Rowe, Sébastien Ourselin, Olivier Salvado
2007 — conf
Pib-Pet Segmentation for Automatic Suvr Normalisation without Mr Information.
ISBI
Parnesh Raniga, Pierrick Bourgeat, Sébastien Ourselin, Victor Villemagne, Graeme O'Keefe, Christopher Rowe
2007 — conf
Spline Based Inhomogeneity Correction for
MICCAI (1)
Parnesh Raniga, Pierrick Bourgeat, Victor Villemagne, Graeme O'Keefe, Christopher Rowe, Sébastien Ourselin