Automatic Brain Tumour Segmentation in 18F-FDOPA PET Using PET/MRI Fusion. - Amir Fazlollahi; Nicholas D. H. Dowson; Fabrice Mériaudeau; Stephen E. Rose; Michael Fay; Paul Thomas; Zeike A. Taylor; Yaniv Gal; Alan Coulthard; Craig D. Winter; David MacFarlane; Olivier Salvado; et al. (DICTA, 2011)

Line segment based structure and motion from two views. - Saleh Mosaddegh; Amir Fazlollahi; David Fofi; Pascal Vasseur (Image Processing: Machine Vision Applications, 2011)

Automatic detection of small spherical lesions using multiscale approach in 3D medical images. - Amir Fazlollahi; Fabrice Mériaudeau; Victor Villemagne; Christopher Rowe; Patricia M. Desmond; Paul A. Yates; Olivier Salvado; Pierrick Bourgeat (ICIP, 2013)

G.fast for FTTdp: Enabling gigabit copper access. - Dong Wei; Amir Fazlollahi; Guozhu Long; Eric Wang (GLOBECOM Workshops, 2014)

Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the Radon transform. - Amir Fazlollahi; Fabrice Mériaudeau; Victor Villemagne; Christopher Rowe; Paul A. Yates; Olivier Salvado; Pierrick Bourgeat (ISBI, 2014)

Amorphous Regions-of-Interest Projection Method for Simplified Longitudinal Comparison of Dynamic Regions in Cancer Imaging. - Yaniv Gal; Nicholas D. H. Dowson; Pierrick Bourgeat; Olivier Salvado; Paul Thomas; Michael Fay; Stephen E. Rose; Rosalind L. Jeffree; Amir Fazlollahi; Stuart Crozier (IEEE Trans. Biomed. Eng., 2014)

Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features. - Mohammad Ali Armin; Girija Chetty; Jurgen Fripp; Hans de Visser; Cédric Dumas; Amir Fazlollahi; Florian Grimpen; Olivier Salvado (CARE@MICCAI, 2015)

Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging. - Amir Fazlollahi; Fabrice Mériaudeau; Luca Giancardo; Victor L. Villemagne; Christopher Rowe; Paul A. Yates; Olivier Salvado; Pierrick Bourgeat (Comput. Medical Imaging Graph., 2015)

Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods. - Amir Fazlollahi; Pierrick Bourgeat; Xiaoyun Liang 001; Fabrice Mériaudeau; Alan Connelly; Olivier Salvado; Fernando Calamante (NeuroImage, 2015)

Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text. - Anastasia Pampouchidou; Olympia Simantiraki; Amir Fazlollahi; Matthew Pediaditis; Dimitris Manousos; Alexandros Roniotis; Giorgos A. Giannakakis; Fabrice Mériaudeau; Panagiotis G. Simos; Kostas Marias; Fan Yang 019; Manolis Tsiknakis (AVEC@ACM Multimedia, 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)

Non-wearable UWB sensor to detect falls in smart home environment. - Ghassem Mokhtari; Qing Zhang 001; Amir Fazlollahi (PerCom Workshops, 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)

Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach. - Xingjuan Li; Samantha Burnham; Jurgen Fripp; Yu Li 018; Xue Li 001; Amir Fazlollahi; Pierrick Bourgeat (GLMI@MICCAI, 2019)

Synthetic microbleeds generation for classifier training without ground truth. - Saba Momeni; Amir Fazlollahi; Paul A. Yates; Christopher Rowe; Yongsheng Gao 001; Alan Wee-Chung Liew; Olivier Salvado (Comput. Methods Programs Biomed., 2021)

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. - Yang Gao 030; Zhuang Xiong; Amir Fazlollahi; Peter J. Nestor; Viktor Vegh; Fatima A. Nasrallah; Craig D. Winter; G. Bruce Pike; Stuart Crozier; Feng Liu 005; Hongfu Sun (NeuroImage, 2022)

Quantitative susceptibility mapping through model-based deep image prior (MoDIP). - Zhuang Xiong; Yang Gao 030; Yin Liu; Amir Fazlollahi; Peter J. Nestor; Feng Liu 005; Hongfu Sun (NeuroImage, 2024)