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Dr

Amir Fazlollahi

Email: 

Overview

Availability

Dr Amir Fazlollahi is:
Available for supervision

Qualifications

  • Doctor of Philosophy, Institution to be confirmed

Works

Search Professor Amir Fazlollahi’s works on UQ eSpace

47 works between 2011 and 2025

21 - 40 of 47 works

2022

Journal Article

A snapshot of brain and cognition in healthy mid-life and older adults

Borne, Léonie, Lupton, Michelle K., Guo, Christine, Mosley, Philip, Adam, Robert, Ceslis, Amelia, Bourgeat, Pierrick, Fazlollahi, Amir , Maruff, Paul, Rowe, Christopher C., Masters, Colin L., Fripp, Jurgen , Robinson, Gail A. and Breakspear, Michael (2022). A snapshot of brain and cognition in healthy mid-life and older adults. bioRxiv. doi: 10.1101/2022.01.20.476706

A snapshot of brain and cognition in healthy mid-life and older adults

2021

Journal Article

Generative model of brain microbleeds for MRI detection of vascular marker of neurodegenerative diseases

Momeni, Saba, Fazlollahi, Amir, Lebrat, Leo, Yates, Paul, Rowe, Christopher, Gao, Yongsheng, Liew, Alan Wee-Chung and Salvado, Olivier (2021). Generative model of brain microbleeds for MRI detection of vascular marker of neurodegenerative diseases. Frontiers in Neuroscience, 15 778767, 778767. doi: 10.3389/fnins.2021.778767

Generative model of brain microbleeds for MRI detection of vascular marker of neurodegenerative diseases

2021

Journal Article

Synthetic microbleeds generation for classifier training without ground truth

Momeni, Saba, Fazlollahi, Amir, Yates, Paul, Rowe, Christopher, Gao, Yongsheng, Liew, Alan Wee-Chung and Salvado, Olivier (2021). Synthetic microbleeds generation for classifier training without ground truth. Computer Methods and Programs in Biomedicine, 207 106127, 106127. doi: 10.1016/j.cmpb.2021.106127

Synthetic microbleeds generation for classifier training without ground truth

2021

Journal Article

Fifteen years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: progress and observations from 2,359 older adults spanning the spectrum from cognitive normality to Alzheimer's disease

Fowler, Christopher, Rainey-Smith, Stephanie R., Bird, Sabine, Bomke, Julia, Bourgeat, Pierrick, Brown, Belinda M., Burnham, Samantha C., Bush, Ashley I., Chadunow, Carolyn, Collins, Steven, Doecke, James, Doré, Vincent, Ellis, Kathryn A., Evered, Lis, Fazlollahi, Amir, Fripp, Jurgen, Gardener, Samantha L., Gibson, Simon, Grenfell, Robert, Harrison, Elise, Head, Richard, Jin, Liang, Kamer, Adrian, Lamb, Fiona, Lautenschlager, Nicola T., Laws, Simon M., Li, Qiao-Xin, Lim, Lucy, Lim, Yen Ying ... Ames, David (2021). Fifteen years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: progress and observations from 2,359 older adults spanning the spectrum from cognitive normality to Alzheimer's disease. Journal of Alzheimer's Disease Reports, 5 (1), 443-468. doi: 10.3233/ADR-210005

Fifteen years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: progress and observations from 2,359 older adults spanning the spectrum from cognitive normality to Alzheimer's disease

2020

Journal Article

A prospective cohort study of prodromal Alzheimer’s disease: Prospective Imaging Study of Ageing: genes, brain and behaviour (PISA)

Lupton, Michelle K., Robinson, Gail A., Adam, Robert J, Rose, Stephen, Byrne, Gerard J., Salvado, Olivier, Pachana, Nancy A., Almeida, Osvaldo P., McAloney, Kerrie, Gordon, Scott D., Raniga, Parnesh, Fazlollahi, Amir, Xia, Ying, Ceslis, Amelia, Sonkusare, Saurabh, Zhang, Qing, Kholghi, Mahnoosh, Karunanithi, Mohan, Mosley, Philip E., Lv, Jinglei, Borne, Léonie, Adsett, Jessica, Garden, Natalie, Fripp, Jurgen, Martin, Nicholas G., Guo, Christine C. and Breakspear, Michael (2020). A prospective cohort study of prodromal Alzheimer’s disease: Prospective Imaging Study of Ageing: genes, brain and behaviour (PISA). NeuroImage: Clinical, 29 102527, 102527. doi: 10.1016/j.nicl.2020.102527

A prospective cohort study of prodromal Alzheimer’s disease: Prospective Imaging Study of Ageing: genes, brain and behaviour (PISA)

2020

Conference Publication

The use of genetic risk prediction to study prodromal Alzheimer’s disease in the PISA study : Genetics/genetic factors of Alzheimer's disease

Lupton, Michelle K., Fazlollahi, Amir, Ceslis, Amelia, Fripp, Jurgen, Rose, Stephen, Salvado, Olivier, Robinson, Gail, Guo, Christine, Breakspear, Michael and Martin, Nick (2020). The use of genetic risk prediction to study prodromal Alzheimer’s disease in the PISA study : Genetics/genetic factors of Alzheimer's disease. Alzheimer's Association International Conference 2020, Online, 27-30 July 2020. Hoboken, NJ United States: John Wiley & Sons. doi: 10.1002/alz.045023

The use of genetic risk prediction to study prodromal Alzheimer’s disease in the PISA study : Genetics/genetic factors of Alzheimer's disease

2020

Journal Article

Restricted effect of cerebral microbleeds on regional magnetic susceptibility

Fazlollahi, Amir, Raniga, Parnesh, Bourgeat, Pierrick, Yates, Paul, Bush, Ashley I., Salvado, Olivier and Ayton, Scott (2020). Restricted effect of cerebral microbleeds on regional magnetic susceptibility. Journal of Alzheimer's Disease, 76 (2), 571-577. doi: 10.3233/JAD-200076

Restricted effect of cerebral microbleeds on regional magnetic susceptibility

2020

Journal Article

Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease

Fazlollahi, Amir, Calamante, Fernando, Liang, Xiaoyun, Bourgeat, Pierrick, Raniga, Parnesh, Dore, Vincent, Fripp, Jurgen, Ames, David, Masters, Colin L., Rowe, Christopher C., Connelly, Alan, Villemagne, Victor L. and Salvado, Olivier (2020). Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease. Journal of Magnetic Resonance Imaging, 51 (2), 505-513. doi: 10.1002/jmri.26810

Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease

2019

Conference Publication

Identification of functional connectivity features in depression subtypes using a data-driven approach

Li, Xingjuan, Burnham, Samantha, Fripp, Jurgen, Li, Yu, Li, Xue, Fazlollahi, Amir and Bourgeat, Pierrick (2019). Identification of functional connectivity features in depression subtypes using a data-driven approach. International Workshop on Graph Learning in Medical Imaging (GLMI 2019), Shenzhen, China, 17-19 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35817-4_12

Identification of functional connectivity features in depression subtypes using a data-driven approach

2019

Journal Article

Cerebrospinal fluid ferritin levels predict brain hypometabolism in people with underlying β-amyloid pathology

Diouf, Ibrahima, Fazlollahi, Amir, Bush, Ashley I. and Ayton, Scott (2019). Cerebrospinal fluid ferritin levels predict brain hypometabolism in people with underlying β-amyloid pathology. Neurobiology of Disease, 124, 335-339. doi: 10.1016/j.nbd.2018.12.010

Cerebrospinal fluid ferritin levels predict brain hypometabolism in people with underlying β-amyloid pathology

2019

Journal Article

SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network

Bollmann, Steffen, Kristensen, Matilde Holm, Larsen, Morten Skaarup, Olsen, Mathias Vassard, Pedersen, Mads Jozwiak, Østergaard, Lasse Riis, O’Brien, Kieran, Langkammer, Christian, Fazlollahi, Amir and Barth, Markus (2019). SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network. Zeitschrift für Medizinische Physik, 29 (2), 139-149. doi: 10.1016/j.zemedi.2019.01.001

SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network

2018

Journal Article

Patient with ALS with a novel TBK1 mutation, widespread brain involvement, behaviour changes and metabolic dysfunction

McCombe, Pamela A., Ngo, Shyuan T., Guo, Christine Cong, Fazlollahi, Amir, Bollmann, Saskia, Wang, Liting, Hu, Xintao, Barth, Markus, Salvado, Olivier, Davis, Mark, Ceslis, Amelia, Robinson, Gail, Henderson, Robert D. and Steyn, Frederik J. (2018). Patient with ALS with a novel TBK1 mutation, widespread brain involvement, behaviour changes and metabolic dysfunction. Journal of Neurology, Neurosurgery and Psychiatry, 90 (8), 952-954. doi: 10.1136/jnnp-2018-318823

Patient with ALS with a novel TBK1 mutation, widespread brain involvement, behaviour changes and metabolic dysfunction

2018

Conference Publication

A framework to objectively identify reference regions for normalizing quantitative imaging

Fazlollahi, Amir, Ayton, Scott, Bourgeat, Pierrick, Diouf, Ibrahima, Raniga, Parnesh, Fripp, Jurgen, Doecke, James, Ames, David, Masters, Colin L., Rowe, Christopher C., Villemagne, Victor L., Bush, Ashley I. and Salvado, Olivier (2018). A framework to objectively identify reference regions for normalizing quantitative imaging. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Granada, Spain, 16-20 September 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-00928-1_8

A framework to objectively identify reference regions for normalizing quantitative imaging

2017

Journal Article

Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline

Ayton, Scott, Fazlollahi, Amir, Bourgeat, Pierrick, Raniga, Parnesh, Ng, Amanda, Lim, Yen Ying, Diouf, Ibrahima, Farquharson, Shawna, Fripp, Jurgen, Ames, David, Doecke, James, Desmond, Patricia, Ordidge, Roger, Masters, Colin L., Rowe, Christopher C., Maruff, Paul, Villemagne, Victor L., Salvado, Olivier and Bush, Ashley I. (2017). Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline. Brain, 140 (8), 2112-2119. doi: 10.1093/brain/awx137

Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline

2017

Conference Publication

A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping

Fazlollahi, Amir, Ayton, Scott, Bourgeat, Pierrick, Raniga, Parnesh, Ng, Amanda, Fripp, Jurgen, Ames, David, Masters, Colin L., Rowe, Christopher C., Villemagne, Victor L., Bush, Ashley I. and Salvado, Olivier (2017). A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, VIC Australia, 18-21 April 2017. Washington, DC USA: IEEE Computer Society. doi: 10.1109/ISBI.2017.7950477

A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping

2017

Conference Publication

Non-wearable UWB sensor to detect falls in smart home environment

Mokhtari, G., Zhang, Q. and Fazlollahi, A. (2017). Non-wearable UWB sensor to detect falls in smart home environment. 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kona, HI USA, 13-17 March 2017. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/PERCOMW.2017.7917571

Non-wearable UWB sensor to detect falls in smart home environment

2016

Conference Publication

Depression assessment by fusing high and low level features from audio, video, and text

Pampouchidou, Anastasia, Simantiraki, Olympia, Fazlollahi, Amir, Pediaditis, Matthew, Manousos, Dimitrios, Roniotis, Alexandros, Giannakakis, Georgios, Meriaudeau, Fabrice, Simos, Panagiotis, Marias, Kostas, Yang, Fan and Tsiknakis, Manolis (2016). Depression assessment by fusing high and low level features from audio, video, and text. AVEC '16: Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, Amsterdam, Netherlands, 16 October 2016. New York, NY USA: Association for Computing Machinery. doi: 10.1145/2988257.2988266

Depression assessment by fusing high and low level features from audio, video, and text

2016

Journal Article

MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection

Ghose, Soumya, Mitra, Jhimli, Rivest-Hénault, David, Fazlollahi, Amir, Stanwell, Peter, Pichler, Peter, Sun, Jidi, Fripp, Jurgen, Greer, Peter B. and Dowling, Jason A. (2016). MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection. Medical Physics, 43 (5), 2218-2228. doi: 10.1118/1.4944871

MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection

2016

Conference Publication

Uninformative frame detection in colonoscopy through motion, edge and color features

Armin, Mohammad Ali, Chetty, Girija, Jurgen, Fripp, De Visser, Hans, Dumas, Cedric, Fazlollahi, Amir, Grimpen, Florian and Salvado, Olivier (2016). Uninformative frame detection in colonoscopy through motion, edge and color features. Second International Workshop, CARE 2015, Munich, Germany, 5 October 2015. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-29965-5_15

Uninformative frame detection in colonoscopy through motion, edge and color features

2015

Journal Article

Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging

Fazlollahi, Amir, Meriaudeau, Fabrice, Giancardo, Luca, Villemagne, Victor L., Rowe, Christopher C., Yates, Paul, Salvado, Olivier and Bourgeat, Pierrick (2015). Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging. Computerized Medical Imaging and Graphics, 46, 269-276. doi: 10.1016/j.compmedimag.2015.10.001

Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging

Funding

Current funding

  • 2024 - 2026
    Disambiguating Parkinson's disease from disorders with mimicking symptoms using ultra-high-field (7 Tesla) multi-modal MRI
    NHMRC IDEAS Grants
    Open grant

Past funding

  • 2023 - 2024
    Use of advanced magnetic resonance imaging (MRI) technology to improve understanding and diagnosis of the major neurodegenerative diseases
    Metro North Hospital and Health Service
    Open grant

Supervision

Availability

Dr Amir Fazlollahi is:
Available for supervision

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Media

Enquiries

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