Pib-Pet Segmentation for Automatic Suvr Normalisation without Mr Information. - Parnesh Raniga; Pierrick Bourgeat; Sébastien Ourselin; Victor Villemagne; Graeme O'Keefe; Christopher Rowe (ISBI, 2007)

Spline Based Inhomogeneity Correction for 11C-PIB PET Segmentation Using Expectation Maximization. - Parnesh Raniga; Pierrick Bourgeat; Victor Villemagne; Graeme O'Keefe; Christopher Rowe; Sébastien Ourselin (MICCAI (1), 2007)

MR-Less High Dimensional Spatial Normalization of 11C PiB PET Images on a Population of Elderly, Mild Cognitive Impaired and Alzheimer Disease Patients. - Jurgen Fripp; Pierrick Bourgeat; Parnesh Raniga; Oscar Acosta; Victor Villemagne; Gareth Jones 002; Graeme O'Keefe; Christopher Rowe; Sébastien Ourselin; Olivier Salvado (MICCAI (1), 2008)

Appearance modeling of 11C PiB PET images: Characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging. - Jurgen Fripp; Pierrick Bourgeat; Oscar Acosta; Parnesh Raniga; Marc Modat; Kerryn E. Pike; Gareth Jones 002; Graeme O'Keefe; Colin L. Masters; David Ames; Kathryn A. Ellis; Paul Maruff; et al. (NeuroImage, 2008)

Local intensity model: An outlier detection framework with applications to white matter hyperintensity segmentation. - Parnesh Raniga; Pierre Schmitt; Pierrick Bourgeat; Jurgen Fripp; Victor Villemagne; Christopher Rowe; Olivier Salvado (ISBI, 2011)

MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion. - Luping Zhou; Olivier Salvado; Vincent Doré; Pierrick Bourgeat; Parnesh Raniga; Victor Villemagne; Christopher Rowe; Jurgen Fripp (MICCAI (2), 2012)

Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images. - Shekhar S. Chandra; Jason Dowling; Kai-Kai Shen; Parnesh Raniga; Josien P. W. Pluim; Peter B. Greer; Olivier Salvado; Jurgen Fripp (IEEE Trans. Medical Imaging, 2012)

New Partial Volume Estimation Methods for MRI MP2RAGE. - Quentin Duché; Parnesh Raniga; Gary F. Egan; Oscar Acosta; Giulio Gambarota; Olivier Salvado; Hervé Saint-Jalmes (MICCAI (3), 2014)

The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics research. - 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; et al. (Frontiers Neuroinformatics, 2014)

Design, implementation and operation of a multimodality research imaging informatics repository. - Toàn D. Nguyên; Parnesh Raniga; David G. Barnes; Gary F. Egan (Health Inf. Sci. Syst., 2015)

HIST: HyperIntensity Segmentation Tool. - José V. Manjón; Pierrick Coupé; Parnesh Raniga; Ying Xia; Jurgen Fripp; Olivier Salvado (Patch-MI@MICCAI, 2016)

A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping. - 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 (ISBI, 2017)

Vein segmentation using shape-based Markov Random Fields. - Phillip G. D. Ward; Nicholas J. Ferris; Parnesh Raniga; Amanda C. L. Ng; David G. Barnes; David L. Dowe; Gary F. Egan (ISBI, 2017)

A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging. - 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; et al. (MICCAI (1), 2018)

Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI. - Saba Momeni; Amir Fazlollahi; Pierrick Bourgeat; Parnesh Raniga; Paul A. Yates; Nawaf Yassi; Patricia M. Desmond; Jurgen Fripp; Yongsheng Gao 001; Olivier Salvado (SASHIMI@MICCAI, 2018)

MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting. - José V. Manjón; Pierrick Coupé; Parnesh Raniga; Ying Xia; Patricia M. Desmond; Jurgen Fripp; Olivier Salvado (Comput. Medical Imaging Graph., 2018)

Combining images and anatomical knowledge to improve automated vein segmentation in MRI. - Phillip G. D. Ward; Nicholas J. Ferris; Parnesh Raniga; David L. Dowe; Amanda C. L. Ng; David G. Barnes; Gary F. Egan (NeuroImage, 2018)

Towards a generalization of the MP2RAGE partial volume estimation model to account for B1+ inhomogeneities at 7T. - Jeremy Beaumont; Oscar Acosta; Parnesh Raniga; Giulio Gambarota; Jurgen Fripp (ISBI, 2021)

An Approach for Generating Realistic Australian Synthetic Healthcare Data. - 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 (MedInfo, 2023)

A FHIR Native Radiology Informatics Platform. - Parnesh Raniga; Hang Min; Hugo Leroux (MedInfo, 2023)

An Informatics Platform for the Management of Data for Australian Dementia Network (ADNeT) Initiative. - Julie Trinder; Pierrick Bourgeat; Ying Xia; Jurgen Fripp; Parnesh Raniga (MedInfo, 2023)

DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. - 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 (WACV, 2023)