Erjun Zhang

PhD student
Institute of Biomedical Engineering
University of Montreal (Poly)
Lab: NeuroPoly
Room: 1.7.13, TransMedTech Institute, CHU Sainte-Justine University Hospital Center
Email: erjun.zhang@hotmail.com

The focus of my research is on the Diffusion MRI models specifically designed for preterm infants. Our team has established a new imaging protocol (model) for scanning infant brains at the Saint-Justine Research Center and have successfully scanned a cohort of infants. Currently, I am working on processing the collected images and analyzing the data through traditional methods, as well as utilizing machine learning and deep learning methods to extract valuable insights from the data. For further information on our recent advancements and published works, please refer to the Publications section.

News: Recently (on November 23, 2023), one of our new ariticle, Severe Central Nervous System Demyelination in Sanfilippo Disease, was published in the journal of Frontiers in Molecular Neuroscience.

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Projects

Diffusion MRI Model

Project discription

Documents [upcomming...]

Machine Learning and Diffusion MRI

Project discription

Documents [upcomming...]

Awards

Mentorship Award (1500 CAD): From QBIN Cegep Student Mentorship Program , March, 2024

Mentorship Award (1500 CAD): From QBIN Cegep Student Mentorship Program , August, 2023

PhD Scholarship (August 2020 - July 2023): From CSC-UdeM Joint Scholarship Program, July 3nd, 2020

Scholarship for Academic Excellence (1500 RMB x 2 times): From Beijing University of Technology, June, 2019

Teaching

An Introduction to Python-based Medical Image Analysis II: Mentor, Cegep Student Mentorship Program , June-August, 2024

An Introduction to Python-based Medical Image Analysis I: Mentor, Cegep Student Mentorship Program , June-August, 2023

Machine learning in functional MRI using Nilearn: Teaching Assistant, Montreal AI and Neuroscience (MAIN) Educational 2022, Dec., 2022

Linear_Algebra & Advanced Mathematics II: Teaching Assistant, BDIC, June, 2016-July 2018

Publications

Selected Papers

2023

Severe Central Nervous System Demyelination in Sanfilippo Disease Frontiers in Molecular Neuroscience, 2023 16:1323449.
Taherzadeh M, Zhang EJ, Londono I, Leener BD, Wang S, Cooper J, Kennedy T, Morales C, Chen ZS, Lodygensky G, Pshezhetsky A [pdf]

Severe Central Nervous System Demyelination in Sanfilippo Disease BioRxiv, 2023.
Taherzadeh M, Zhang EJ, Londono I, ,Kennedy, T, Song SK, Morales CR, Chen ZS, Lodygensky G, Pshezhetsky A [Preprint]

2021

Non-invasive in vivo MRI detects long-term microstructural brain alterations related to learning and memory impairments in a model of inflammation-induced white matter injury Behavioural Brain Research, 428, 113884.
Pierre C, Zhang EJ, Londono I, DeLeener B, Lesage F, and Lodygensky G [link]

2020

Improving Thermo-optic Properties Of Smart Windows Via Coupling To Radiative Coolers Applied Optics , 59 , no. 13 (2020): D210-D220.
Zhang EJ, Cao Y, Caloz C, Skorobogatiy M. [pdf]

2019

Simple Models For The Operation Of Partially Transparent Radiative Windows and their comparison to the radiative coolers arXiv:1906.07638.
Zhang EJ, Caloz C, Skorobogatiy M. [link]

Conference Publication

2023

hanges in the Neonatal Brain: An Assessment of the Development and Maturation of Neonatal Brain Tissues Using Diffusion MRI 91e Congrès de l'Acfas 2023 , May 13-17, 2024, Montreal, Canada.
Xu K, Hernandez S, Zhang EJ (mentor), Lodygensky G.

2023

Evaluation of Neonatal Brain Tissue Development Using Diffusion MRI CHU Sainte-Justine Summer Internship Conference 2023 , August 15-16, 2023, Montreal, Canada.
Xu K, Hernandez S, Zhang EJ (mentor), DeLeener B, Lodygensky G. [Reports], [Slides], [Video], [PPT], [Poster]

Diffusion Bubble Model: A Novel Method For Detecting Neuroinflammation in Mouse Brain With Sanfilippo Syndrome ISMRM 2023: Imaging The Fire In The Brain , June 3-8, 2023, Toronto, Canada.
Zhang EJ, Londono I, Fouquet J, Pshezetsky A, DeLeener B, Lodygensky G. [Abstract][Slides][Video]

A Novel Method For Evaluation of Neonatal Brain Development 10th CNPRM, May 23-26, 2023, Montebello, Canada.
Zhang EJ, DeLeener B, Lodygensky G. [Abstract][Thematic oral presentation]

Major White Matter and Hippocampal Alterations in a Mouse Model of Sanfilippo Syndrome at 7T MRI OHBM, July 22-26, 2023, Montreal, Canada.
Zhang EJ, Taherzadeh M, Londono I, Fouquet J, DeLeener B, Pshezhetsky A, Lodygensky G. [abstract][poster]

Impacts of Prematurity on Neonatal Deep Gray Matter Using Diffusion Basis Spectrum Imaging OHBM, July 22-26, 2023, Montreal, Canada.
Zhang EJ, Londono I, Paquette N, Deschenes S, Petitpas L, Damien J, Pinchefsky E, Gallagher A, DeLeener B, Lodygensky G. [abstract][poster]

Evaluation Of Neonatal Brain White Matter Development Using Diffusion Basis Spectrum Imaging PAS, April 27-May 1, 2023, Washington, D.C., USA.
Zhang EJ, DeLeener B, Lodygensky G. [abstract] [poster]

Severe Neuronal Demyelination in Sanfilippo Disease WORLDSymposium 2023, Feb. 22-26, 2023, Orlando, USA.
Taherzadeh M, Zhang EJ, Kennedy, T, Morales CR, Lodygensky G, Pshezhetsky A [abstract][oral presentation]

2022

Assessment of White Matter Maturation in Preterm Infants Using Diffusion Basis Spectrum Imaging 9th CNPRM, May 30- June 3, 2022 June, Canada.
Zhang EJ, Song SK, Deschenes S, Enguix V, Paquette N, Petitpas L, Damien J, Fondrouge K, Pinchefsky E, Gallagher A, DeLeener B, Lodygensky G. [abstract] [poster]

Assessment Of White Matter Maturation In Preterm Infants Using DBSI CPRME, Oct. 13-14, 2022, Montreal, Canada.
Zhang EJ, Song SK, Deschenes S, Enguix V, Paquette N, Petitpas L, Damien J, Fondrouge K, Pinchefsky E, Gallagher A, DeLeener B, Lodygensky G. [abstract][poster]

2019

Simple Models For The Operation Of Partially Transparent Radiative Windows and their comparison to the radiative coolers RIAO, 2019 Sep., Cancun, Mexico.
Zhang EJ, Caloz C, Skorobogatiy M. [pdf][oral presentation]

Other Publications

Linear Algebra BDIC, 2017. Completed. Liu X, Zhang EJ. [Book]

Advanced Mathematics Submental Reading Book BDIC, 2018. Completed. Zhu H, Zhang EJ, Liu X. [Book]

Opensource

An Introduction to Python-based Medical Data Processing and Analysis, [Table of contents], [Data & Python code], [Slides], [Video], [PPT], [Poster], 2023
UNet Model and Data Augmentation, [Data & Python code], [report], 2021
Use DTI-TK to build diffusion MRI template and do registration, [github & Python code], [report (expect to update in the late December, 2022)], 2022
Diffusion MRI Reconstruction From Scratch, [github & Python code], [report (expect to update in the late December, 2022)], 2022

Short bio

I'm a Ph.D. student in Biomedical Engineering at Polytechnique Montreal (2018-present), supervised by Professors Benjamin De Leener and Gregory A. Lodygensky. I have a Master's degree in Optical Engineering from Beijing University of Technology (2015-2018) and a Bachelor's degree in Optoelectronic Information Engineering from Shenzhen University (2010-2014). I am deeply passionate about using applied mathematics, statistics, and code to tackle real-world biomedical challenges.

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