Skip to content. | Skip to navigation

CREATE-MIA!

Personal tools

This is SunRain Plone Theme
You are here: Home / People / Alumni

Alumni

Alexa Pichette Binette

Integrated Program for Neuroscience, Faculty of Medicine, McGill University

I am a PhD student at the Centre for Studies on Prevention of Alzehimer's Disease (StoP-AD Centre) at the Douglas Mental Health University Institute where I work under Dr. Sylvia Villeneuve and I am co-supervised by Dr. Louis Collins. I obtained my B.Sc. in neuroscience from McGill University and completed my M.Sc. in medical neurosciences at the Charité University in Berlin, Germany, where I focused on perfusion and grey matter changes in patients with mild cognitive impairment.

Alexandre Bizeau

Department of Radiation Science and Biomedical Imaging, University of Sherbrooke

I am a M.Sc. student at the Université de Sherbrooke Neuro-Analysis and Imaging Lab (SNAIL) at the Radiation Science and Biomedical Imaging department. I am supervised by Drs. Kevin Whittingstall and Maxime Descoteaux. I graduated from the Université de Sherbrooke with a B.Sc. in Computer Science with an Image Processing specialty. My research focuses on human brain vasculature segmentation to obtain cerebral blood volume (CBV) and its coupling with fMRI studies.

Andres Acevedo

Electrical and Computer Engineering, Faculty of Engineering , McGill University

My research this summer will involve verifying whether the new probabilistic methods developed in Prof. Arbel’s lab are meeting specific goals regarding identifying healthy and diseased tissues when applied to MRI data dealing with Multiple Sclerosis. To this end I will work providing statistics as to the robustness of the techniques when trained on one trial and tested on another trial. Additionally, I will be exploring various pre-processing techniques, including normalization and registration techniques, to determine which will lead to maximal increase in the robustness of the methods. Lastly, I will also work testing various statistical validation techniques in order to determine which are most appropriate for the regarding theoretical, clinical, and corporate objectives.

Andrew Doyle

Electrical and Computer Engineering, Faculty of Engineering , McGill University

I am a Master's student at McGill University in Tal Arbel's Probabilistic Vision Group, and hold a B.Eng from the same institution.  Working for the National Film Board of Canada in research and development gave me an introduction to image processing and computer vision that I am applying to segmenting MRI brain images of patients with multiple sclerosis.

Andrew Jesson

Electrical and Computer Engineering, McGill University

 I am an Electrical Engineering Master's student in the Probabilistic Vision Group at McGill University under the supervision of Dr. Tal Arbel. I am researching automatic segmentation and probabilistic modelling of normal and lesion structures in brain MRI.

Azar Zandifar

Department of Biomedical Engineering, Faculty of Medicine, McGill University

I am a PhD student in Biomedical Engineering at McGill University. I obtained my B.Sc. in Electrical Engineering from the University of Tehran, Tehran, Iran. I completed my M.Sc. at Sharif University of Technology, Tehran, Iran. I started my PhD studies in September 2013 under the supervision of Dr. Louis Collins. I am currently a part of the Image Processing Laboratory (IPL). The main focus of my PhD research is imaging biomarkers of Alzheimer's Disease (AD). I am particularly interested in structural and functional MRI derived AD biomarkers.

Chris Donnelly

Electrical and Computer Engineering, Faculty of Engineering , McGill University

I am a Master's student at McGill University researching multi-modal medical image registration under the supervision of Dr. Tal Arbel. One potential application of my research is in image-guided neurosurgery. I graduated with a B.Sc. in Engineering Physics from Queen's University in Kingston, Ontario.

Damien Goblot

School of Computer Science, McGill University

I’m a computer science master/thesis student in shape analysis lab at McGill University under the supervision of Prof. Kaleem Siddiqi. I obtained a B.Sc. in entrepreneurship/computer science from the French engineering school Ecole Polytechnique.

Dante de Nigris Moreno

Electrical and Computer Engineering, Faculty of Engineering , McGill University

I am a Ph.D. student at the Electrical and Computer Engineering Department, McGill University. I work under the guidance of Dr. Tal Arbel in the Probabilistic Vision Group, Centre for Intelligent Machines(CIM). My research is focused on analyzing and developing techniques for multi-modal image registration. Specifically I'm interested in similarity metrics for challenging multimodal image registration contexts, evaluating the uncertainty of registration and improving the computational efficiency of image registration methods.

Eleftherios Garyfallidis

Computer Science, Université de Sherbrooke

I am a Post-doctoral researcher at the University of Sherbrooke under the supervision of Professor Maxime Descoteaux (http://scil.dinf.usherbrooke.ca). I hold a PhD from the University of Cambridge, UK and I am the lead software engineer of Diffusion Imaging in Python (http://dipy.org). The focus of my work is to create tools to navigate the super-highways of the human brain using diffusion MRI. [website

Emmanuel Piuze-Phaneuf

School of Computer Science, McGill University

I obtained a B.Sc. in Honours Physics and Computer Science in 2009 and an M.Sc in 2010 from the School of Computer Science at McGill University. My master's thesis was in the area of computer graphics and consisted in the development of a mathematical model for generating hair patterns. I have been a PhD student in the School of Computer Science at McGill University since January 2011, under the supervision of Kaleem Siddiqi in the Shape Analysis Group. My current research involves studying the geometry of cardiac fibers. Using measurements from diffusion MRI, I develop a framework that employs a range of methods derived from computer vision and differential geometry to describe how cardiac fibers bundle and curve together. Ultimately, the hope is to be able to better characterize and differentiate healthy from pathological cardiac anatomy.

Etienne St-Onge

Computer Science, Université de Sherbrooke

After an undergraduate program in Computer Science with specialization in image and signal processing at University of Sherbrooke, I did a research internship on MRI super-resolution techniques and a project on cortical sulcus registration. Now, I'm a Master's student at the Sherbrooke Connectivity Imaging Lab (SCIL), supervised by Pr. Maxime Descoteaux. I'm improving tractography algorithms to improve brain connectivity comprehension.

After an undergraduate program in Computer Science with specialization in image and signal processing at University of Sherbrooke, I did a research internship on MRI super-resolution techniques and a project on cortical sulcus registration. Now, I'm a Master's student at the Sherbrooke Connectivity Imaging Lab (SCIL), supervised by Pr. Maxime Descoteaux. I'm improving tractography algorithms to improve brain connectivity comprehension.

Halleh Ghaderi

Biomedical Engineering, Faculty of Medicine, McGill University

I obtained my bachelor of applied science (Electrical and Computer Engineering – biomedical specialization option) in 2010 from University of British Columbia and then fast tracked to PhD biomedical program at McGill University. I am currently pursuing my PhD studies under supervision of Prof. G. Bruce Pike at Montreal Neurological Institute. The broad objective of my research thesis is to develop novel quantitative Magnetic Resonance Image (MRI) acquisition and analysis methods that can improve the target localization and pre-operative planning in image guided neurosurgery of deep brain structures. This project integrates anatomical, functional, and vascular and diffusion MRI information into an automated decision support software framework in order to facilitate pre-operative target localization and trajectory planning.

Houssem-Eddine Gueziri

Department of Electrical Engineering, ÉTS

I graduated with a B.Sc. from the University of Science and Technology of Algiers in computer science (2010) and with an M.Sc. in image processing from the University of Paris Descartes (2011). I am currently pursuing a PhD under the supervision of Prof. C. Laporte in the Department of Electrical Engineering at École de Technologie Supérieure.  My research aim is to develop a novel user-friendly interface for 3D freehand ultrasound (US) with visualization of uncertainty.  The project includes 3D acquisition of  US images from 2D standard probes, developing an interactive segmentation scheme that takes into account uncertainty measurement, 3D surface reconstruction from non-coplanar slices and, finally, modelling and visualizing uncertainty amounts and provenance.

Jason Taylor

Electrical and Computer Engineering, McGill

I am a PhD student in the Centre for Intelligent Machines at McGill University under the supervision of Dr. Tal Arbel. The focus of my research is data mining and morphometry of brain images with Multiple Sclerosis. I obtained a B.Sc. and M.Sc. in Electrical Engineering from the University of Manitoba in 2010 and 2013, respectively. From 2013-14 I worked as an Image Processing Specialist at the Institute for Diagnostic Imaging Research at the University of Windsor.

Jawad Dahmani

Department of Electrical Engineering, ÉTS

After an engineering degree in electronics from Polytech’ Sophia Antipolis in France and a Masters degree in Mathematics applied to telecommunications, image and control signals, I obtained a technological research diploma in France, in the field of signal processing. I am currently a Ph.D. student under the supervision of Prof. Catherine Laporte from the Electrical Engineering Department at École de technologie supérieure. My research concerns Freehand 3D ultrasound and more precisely the detection and the compensation of image deformations arising from the variation of probe pressure on the skin.

Mahsa Dadar

Biomedical Engineering, Faculty of Medicine, McGill University

I'm a Biomedical Engineering Ph.D. student in the Image Processing lab at McGill University under the supervision of Dr. Louis Collins. I obtained my B.Sc. in Electrical Engineering, Control Systems from the University of Tehran and my M.Sc. in the same field from Concordia University. My research is focused on MRI bio-markers of Alzheimer's disease.

Maor Zaltzhendler

Electrical and Computer Engineering, McGill

In the last several years, I have been working full time on microprocessors design (Intel), Internet protocols classification (Cisco) and energy management systems for a Canadian startup company.  I am now on the road towards a McGill graduate degree in Electrical Engineering.  My research interests are machine learning and computer vision, especially using .Net, Python and Java.

Michael Paquette

Computer Science, Université de Sherbrooke

I am a Ph.D. student at the Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke. I work under the supervision of Dr. Maxime Descoteaux in the field of diffusion MRI. I obtained my bachelor in mathematics from Université de Sherbrooke in September 2011 before fast tracking to the Ph.D. program. My research aims to develop local modelling methods that require very little imaging time while retaining a high resolution.

Niladri Mohanty

Biomedical Engineering, Faculty of Medicine, McGill University

I am a Masters Student in Biomedical Engineering at McGill University. I did my Bachelor of Technology in Biomedical Engineering from National Institute of Technology Raipur, India and am currently working under the supervision of Dr. Amir Shmuel in the Visual Systems Neuroscience and Brain Imaging Signals Lab at the Montreal Neurological Institute. The aim of my research is to study prototypical current source density response in the visual cortex for registering multiple data sets.

Pascal Kropf

Neurology & Neurosurgery, McGill University

I am a Ph.D. student in Neuroscience at McGill University in Dr. Amir Shmuel's lab.  My research focuses on the study of the electromagnetic inverse problem as encountered in estimation of current-source density from laminar 1-D multi-electrode field recordings. Before joining McGill, I obtained a M.Sc. in Physics from the University of Bern in Switzerland where I worked on light-induced neural activation.

Samuel St-Jean

Computer Science, Université de Sherbrooke

I am a Master's student at the Sherbrooke Connectivity Imaging Lab (SCIL) under the supervision of Professor Maxime Descoteaux. I did my B.Sc in Mathematics at the Université de Sherbrooke. My current work aims toward improving the image and reconstruction quality of diffusion MRI acquisitions through the use of smart, data-aware denoising and upsampling. [website]

Sepide Movaghati

Biomedical Engineering, Faculty of Medicine, McGill University

I obtained my B.Sc. in Electrical Engineering from University of Tehran, Iran, in 2010 and then started my Masters in Biomedical Engineering at McGill University. I work under the supervision of Dr. Amir Shmuel in the Visual Systems Neuroscience and Brain Imaging Lab at the Montreal Neurological Institute. My research aim is to investigate the neuronal activation in the brain which underlies the perception of visual motion.

Shahab Kadkhodaeian Bakhtiari

Integrated Program in Neuroscience, McGill University

I am a PhD student in Neuroscience at McGill University. I obtained my B.Sc. and M.Sc. in Electrical Engineering from University of Tehran, Iran. I am working toward my PhD in the Visual Systems Neuroscience and Brain Imaging Lab at the Montreal Neurological Institute under the supervision of Dr. Amir Shmuel. My research is focused on neuronal mechanisms underlying visual perception.

Ze Shan Yao

Biomedical Engineering, Faculty of Medicine, McGill

I graduated with a B.Sc. in joint Physiology and Physics from McGill university in 2008. I then fast tracked to a PhD program in Biomedical Engineering program of McGill. I am currently pursing my study in visual systems neuroscience and brain imaging lab, BIC-MNI, under the supervision of Amir Shmuel. My research focuses on characterizing the hemodynamic response of the brain relative to the underlying neuronal activation.