Dr Amir Fazlollahi

Research Fellow

Queensland Brain Institute

Overview

Qualifications

  • Doctor of Philosophy, Univ.Dijon

Publications

View all Publications

Publications

Journal Article

Conference Publication

  • Gao, Yang, Xiong, Zhuang, Fazlollahi, Amir, Nestor, Peter, Vegh, Viktor, Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2023). QSM from the raw phase using an end-to-end neural network. Concord, CA: ISMRM. doi: 10.58530/2022/4740

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Fazlollahi, Amir, Meriaudeau, Fabrice, Villemagne, Victor L., Rowe, Christopher C., Yates, Paul, Salvado, Olivier and Bourgeat, Pierrick (2014). Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the radon transform. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/isbi.2014.6867822

  • Fazlollahi, Amir, Meriaudeau, Fabrice, Villemagne, Victor L., Rowe, Christopher C., Desmond, Patricia M., Yates, Paul A., Salvado, Olivier and Bourgeat, Pierrick (2013). Automatic detection of small spherical lesions using multiscale approach in 3D medical images. IEEE Computer Society. doi: 10.1109/ICIP.2013.6738239

  • Mosaddegh, Saleh, Fazlollahi, Amir, Fofi, David and Vasseur, Pascal (2011). Line segment based structure and motion from two views. doi: 10.1117/12.872346

  • Fazlollahi, Amir, Dowson, Nicholas, Mariaudeau, Fabrice, Rose, Stephan, Fay, Michael, Thomas, Paul, Taylor, Zeike, Gal, Yaniv, Coultard, Alan, Winter, Craig, MacFarlane, David, Slavado, Olivier, Crozier, Stuard and Bourgeat, Pierrick (2011). Automatic brain tumour segmentation in 18F-FDOPA PET using PET/MRI fusion. DICTA 2011: International Conference on Digital Image Computing: Techniques and Applications, Noosa Head, QLD, Australia, 6 - 8 December 2011. Piscataway, NJ, United States: The Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2011.61