AP Lab Members
AllFacultyPhD StudentsMSc StudentsUSRA
Marta Kersten-Oertel
DirectorMy research involves developing and testing visualisation, display and interaction methods in the context of image-guided surgery.
Zahra Asadi
PhD
Hamideh Housseini
PhD
Mustafa Seddiqi
PhD
Nadine El-Mufti
MSc
Zoé Sibylle
MScZoé frequently finds herself in places she shouldn't be for reasons she doesn't know.
Liam O’Connor
MSc
Mina Masoumi
MSc
Emmanuel Ajaero
MSc
Dominik Ludera
MSc
Joshua Castillo
MSc
Reyhaneh Sharifzadeh
MSc
Afaf Alanzarouti
USRACollaborators
Amin Madani
Collaborator
Simon Drouin
Collaborator
George Rakovich
Collaborator
David S. Sinclair
Collaborator
D. Louis Collins
CollaboratorPrevious Members
AllPhD AlumniUSRA AlumniMSc AlumniPDF Alumni
Jonatan Reyes
Alumni PhD
Hafsa Moontari Ali
Alumni PhD
Andrey Titov
Alumni PhD
Mohsen Parisay
Alumni PhD
Étienne Léger
Alumni PhD
Maryam Alizadeh
Alumni RA/PDF
Joseph Plazak
Alumni RA/PDF
Niki Najafi
Alumni MSc
Simon Crete
Alumni MSc
Mehrdad Asadi
Alumni MSc
Reihaneh Teimoori
Alumni MSc
Negar Kazemipour
Alumni MSc
Negar Haghbin
Alumni MSc
Naghmeh Ansari
Alumni MSc
Salar Noroozi
Alumni MSc
Dawson Woods
Alumni USRA
Sepehr Jalayer
Alumni MSc
Arash Harirpoush
Alumni MSc, USRA
Donya Meshgin
Alumni USRA
Shawn Gorman
Alumni USRA
David Xie
Alumni USRAPrevious Thesis Students
PhD Students
- Jonatan Reyes, January 2018 – August 2024; PhD; Adoption of Deep Learning Models and its Applications in Dementia Research :: Faculty at University of Texas Rio Grande Valley
- Mumu Aktar, Sept 2018 – Dec 2023; PhD, “Automatic Evaluation of Collaterals in Ischemic Stroke” :: Postdoctoral Fellow University of Calgary
- Mohsen Parisay, Jan 2017 – Dec 2021; Phd, “Computational Analysis of Eye-Strain for Digital Screens based on Eye Tracking Studies.” :: Software Engineer @ilume informatik AG, Mainz, Germany
- Étienne Léger, Jan 2017 – Sept 2021; PhD, “Mobile and Low-cost Hardware Integration in Neurosurgical Image-Guidance.” :: Post-doctoral research fellow in the Golby Lab, Brigham and Women’s Hospital, Boston, MA, USA.
Master’s Students
- Mehrdad Asadi, Sep 2022 – Dec 2024; Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function :: Research Scientist @ NRC
- Arash Harirpoush, Sep 2022 – Dec 2024; MSc Optimization of pre-operative planning in minimally invasive thoracic surgeries with deep-learning-based patient-specific 3D modelling and intuitive VR interaction :: Data Science Analyst @ Sobeys
- Simon Crête, Sept 2021 – July 2023; MSc., MRI-Based Brain Age Estimation Using Supervised Contrastive Learning :: Machine Learning Scientist @ Wearm.ai
- Reihaneh Teimoori, Sept 2021 – April 2023; MSc., Deep learning-based brain ventricle segmentation in Computed Tomography using domain adaptation :: Machine Learning Scientist @ Prenuvo
- Salar Noroozi, Sept 2021 – August 2023; MSc., Design and Development of LapBot: An Interactive Mobile Game for Mastering Safe Laparoscopic Cholecystectomy
- Negar Kazemipour, Sept 2020 – August 2023; MSc., Mixed Reality and Force Feedback Haptic Tools for Improved Surgical Planning :: Machine Learning Scientist @ Wearm.ai
- Sepehr Jalayar, Sept 2020 – April 2023; MSc., An Immersive Virtual Reality Tool for Connectome Visualization and Analysis :: Android Developer @ VOXX DEI Canada
- Naghmeh Ansari, Sept 2019 – Dec 2021; MSc., “Augmented Reality in Ventriculostomy” :: Software Developer @ Think Surgical
- Amirhossein Etaat, Sept 2019 – Dec 2021; MSc., “An Online Balance Training Application using Pose Estimation and Augmented Reality” :: Co-founder
- Sarah Amini, Sept 2018 – July 2021; MSc., “Using Visualization and Modelling to Improve Pre-Surgical Decision-Making in Breast Reconstruction surgery.” :: Full Stack Developer @ Avanade
- Negar Haghbin, Sept 2018 – Dec 2020; MSc., “Notification, gamification and cueing in mobile health applications.” :: Software Engineer @ Flipd
- Nelson Frank, Sept 2018 – Dec 2020; MSc., “Deep Learning Approaches to Multi-Modal Biomedical Image Segmentation.” :: Imaging Research and Development @ Qynapse
- Andrey Titov, Sept 2018 – Dec 2020; MSc., “Comparing Vascular Visualization Techniques with Gamification.” :: PhD @ École de technologie supérieure, Montreal, Canada.