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S.H. Yousefi Mesri MSc

S.H. Yousefi Mesri MSc

PHD Candidate - OIO
S.H. Yousefi Mesri MSc
  • Image Sciences Institute

Research Programs

Biography

Biography

Hamed Yousefi Mesri received a Master of Science (M.Sc.) degree in Electrical Engineering from Chalmers University of Technology, Gothenburg, Sweden in December 2010 and a Master of Philosophy (Ph.M.) in Engineering from the University of Melbourne, Australia in September 2014.

During his master's thesis work in Sweden, he worked on the project "A multidimensional signal processing approach for classification of microwave measurement data with application to stroke type diagnosis" under supervision of Prof. Tomas McKelvey and Prof. Mikael Persson at the Department of Signals and Systems, Chalmers University of Technology in collaboration with Medfield Diagnostics AB and Sahlgrenska University Hospital in Gothenburg, Sweden.

In 2012, Hamed joined the department of Electrical and Electronic Engineering, the University of Melbourne, Australia as a research higher degree student under the supervision of Prof. Iven Mareels. His research project title was "Investigating microstructure in the brain using Diffusion-Weighted Magnetic Resonance Imaging". He was also a visiting scholar at the Florey Institute of Neuroscience and Mental Health, and National ICT Australia, during his research in Melbourne.

Later in 2014, Hamed joined the PROVIDI Lab at the Image Sciences Institute, University Medical Center Utrecht as a Ph.D. candidate under the supervision of Dr. Alexander Leemans, working on diffusion MRI.

Research Output (6)

Author Correction:The challenge of mapping the human connectome based on diffusion tractography (Nature Communications, (2017), 8, 1, (1349), 10.1038/s41467-017-01285-x)

Maier-Hein Klaus H., Neher Peter F., Houde Jean Christophe, Côté Marc Alexandre, Garyfallidis Eleftherios, Zhong Jidan, Chamberland Maxime, Yeh Fang Cheng, Lin Ying Chia, Ji Qing, Reddick Wilburn E., Glass John O., Chen David Qixiang, Feng Yuanjing, Gao Chengfeng, Wu Ye, Ma Jieyan, He Renjie, Li Qiang, Westin Carl Fredrik, Deslauriers-Gauthier Samuel, González J. Omar Ocegueda, Paquette Michael, St-Jean Samuel, Girard Gabriel, Rheault François, Sidhu Jasmeen, Tax Chantal M.W., Guo Fenghua, Mesri Hamed Y., Dávid Szabolcs, Froeling Martijn, Heemskerk Anneriet M., Leemans Alexander, Boré Arnaud, Pinsard Basile, Bedetti Christophe, Desrosiers Matthieu, Brambati Simona, Doyon Julien, Sarica Alessia, Vasta Roberta, Cerasa Antonio, Quattrone Aldo, Yeatman Jason, Khan Ali R., Hodges Wes, Alexander Simon, Romascano David, Barakovic Muhamed 4 Nov 2019, In: Nature Communications. 10

The adverse effect of gradient nonlinearities on diffusion MRI:From voxels to group studies

Mesri Hamed Y., David Szabolcs, Viergever Max A., Leemans Alexander 30 Aug 2019, In: NeuroImage. 205 15 p.

Identifying No Fly Zones to prevent long-term thinning of the cerebral cortex in glioma after RT

Nagtegaal S., David S., Mesri H., Philippens M., Leemans A., Verhoeff J. Apr 2019, In: Radiotherapy and Oncology. 133 , p. S82-S83

The challenge of mapping the human connectome based on diffusion tractography

Maier-Hein Klaus H et al. 7 Nov 2017, In: Nature Communications [E]. 8

Localization of hemorrhage site in stroke patients using multichannel microwave measurements

Mesri Hamed Yousefi 2012, In: Conference proceedings : IEEE Engineering in Medicine and Biology Society. Conference. 2012 , p. 5927-30 4 p.

A multidimensional signal processing approach for classification of microwave measurements with application to stroke type diagnosis

Mesri Hamed Yousefi, Najafabadi Masoud Khazaeli, McKelvey Tomas 2011, In: Conference proceedings : IEEE Engineering in Medicine and Biology Society. Conference. 2011 , p. 6465-9 5 p.

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