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ORCIDAmir Fazlollahi
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2020 – today
- 2024
[j6]Zhuang Xiong
, Yang Gao, Yin Liu, Amir Fazlollahi, Peter J. Nestor, Feng Liu, Hongfu Sun:
Quantitative susceptibility mapping through model-based deep image prior (MoDIP). NeuroImage 291: 120583 (2024)- 2023
- [i1]Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter J. Nestor, Feng Liu, Hongfu Sun:
Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP). CoRR abs/2308.09467 (2023) - 2022
- [j5]Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J. Nestor, Viktor Vegh, Fatima A. Nasrallah, Craig D. Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun:
Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. NeuroImage 259: 119410 (2022) - 2021
- [j4]Saba Momeni, Amir Fazlollahi, Paul A. Yates, Christopher Rowe, Yongsheng Gao, Alan Wee-Chung Liew, Olivier Salvado:
Synthetic microbleeds generation for classifier training without ground truth. Comput. Methods Programs Biomed. 207: 106127 (2021)
2010 – 2019
- 2019
- [c12]Xingjuan Li, Samantha Burnham, Jurgen Fripp, Yu Li, Xue Li, Amir Fazlollahi, Pierrick Bourgeat:
Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach. GLMI@MICCAI 2019: 96-103 - 2018
- [c11]Saba Momeni, Amir Fazlollahi, Pierrick Bourgeat, Parnesh Raniga, Paul A. Yates, Nawaf Yassi, Patricia M. Desmond, Jurgen Fripp, Yongsheng Gao, Olivier Salvado:
Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI. SASHIMI@MICCAI 2018: 12-19 - [c10]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:
A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging. MICCAI (1) 2018: 65-72 - 2017
- [c9]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:
A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping. ISBI 2017: 97-100 - [c8]Ghassem Mokhtari, Qing Zhang, Amir Fazlollahi:
Non-wearable UWB sensor to detect falls in smart home environment. PerCom Workshops 2017: 274-278 - 2016
- [c7]Anastasia Pampouchidou, Olympia Simantiraki, Amir Fazlollahi, Matthew Pediaditis, Dimitris Manousos, Alexandros Roniotis, Giorgos A. Giannakakis, Fabrice Mériaudeau, Panagiotis G. Simos, Kostas Marias, Fan Yang, Manolis Tsiknakis:
Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text. AVEC@ACM Multimedia 2016: 27-34 - 2015
- [j3]Amir Fazlollahi, Fabrice Mériaudeau, Luca Giancardo, Victor L. Villemagne, Christopher Rowe, Paul A. Yates, Olivier Salvado, Pierrick Bourgeat:
Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging. Comput. Medical Imaging Graph. 46: 269-276 (2015) - [j2]Amir Fazlollahi, Pierrick Bourgeat, Xiaoyun Liang, Fabrice Mériaudeau, Alan Connelly, Olivier Salvado, Fernando Calamante:
Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods. NeuroImage 117: 191-201 (2015) - [c6]Mohammad Ali Armin, Girija Chetty, Jurgen Fripp, Hans de Visser, Cédric Dumas, Amir Fazlollahi, Florian Grimpen, Olivier Salvado:
Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features. CARE@MICCAI 2015: 153-162 - 2014
- [j1]Yaniv Gal, Nicholas D. H. Dowson, Pierrick Bourgeat, Olivier Salvado, Paul Thomas, Michael Fay, Stephen E. Rose, Rosalind L. Jeffree, Amir Fazlollahi, Stuart Crozier:
Amorphous Regions-of-Interest Projection Method for Simplified Longitudinal Comparison of Dynamic Regions in Cancer Imaging. IEEE Trans. Biomed. Eng. 61(2): 264-272 (2014) - [c5]Dong Wei, Amir Fazlollahi, Guozhu Long, Eric Wang:
G.fast for FTTdp: Enabling gigabit copper access. GLOBECOM Workshops 2014: 668-673 - [c4]Amir Fazlollahi, Fabrice Mériaudeau, Victor Villemagne, Christopher Rowe, Paul A. Yates, Olivier Salvado, Pierrick Bourgeat:
Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the Radon transform. ISBI 2014: 113-116 - 2013
- [c3]Amir Fazlollahi, Fabrice Mériaudeau, Victor Villemagne, Christopher Rowe, Patricia M. Desmond, Paul A. Yates, Olivier Salvado, Pierrick Bourgeat:
Automatic detection of small spherical lesions using multiscale approach in 3D medical images. ICIP 2013: 1158-1162 - 2011
- [c2]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, Stuart Crozier, Pierrick Bourgeat:
Automatic Brain Tumour Segmentation in 18F-FDOPA PET Using PET/MRI Fusion. DICTA 2011: 325-329 - [c1]Saleh Mosaddegh, Amir Fazlollahi, David Fofi, Pascal Vasseur:
Line segment based structure and motion from two views. Image Processing: Machine Vision Applications 2011: 787709
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