Minh (Nguyen Nhat) To

Postdoctoral Researcher · Mila & McGill University

I develop privacy-preserving multimodal AI systems for clinical reasoning, with a focus on local MLLMs, agentic RAG, medical imaging, and robust machine learning under distribution shift.

I completed my PhD in Electrical and Computer Engineering at the University of British Columbia in January 2026. My current research at Mila and McGill explores patient-specific context grounding, multi-agent visual reasoning, and trustworthy prediction from brain MRI and clinical data.

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Publications

Selected peer-reviewed publications and accepted work.

Shift happens: a fairness-oriented framework for medical classification under hidden bias

Minh Nguyen Nhat To, Diane Kim, Mohamed Harmanani, Paul F. R. Wilson, Fahimeh Fooladgar, Samira Sojoudi, et al.

International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2026

DPE-Former improves worst-group accuracy across ultrasound, dermoscopy, and clinical tabular data.

Paper Code Project page

DPE-Former framework for robust medical classification

AS-TIME: Time-Conditioned Multimodal Modeling of Aortic Stenosis Progression

Diane Kim, Minh Nguyen Nhat To, Victoria Wu, Teresa S. M. Tsang, Christina Luong, Purang Abolmaesumi

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026

Accepted. Predicts patient-specific progression from baseline echocardiography and follow-up interval.

Paper Code

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift

Minh Nguyen Nhat To, Paul F R Wilson, Viet Nguyen, Mohamed Harmanani, Michael Cooper, Fahimeh Fooladgar, Purang Abolmaesumi, Parvin Mousavi, Rahul G. Krishnan

International Conference on Machine Learning (ICML), 2025

Acceptance rate: 26%

Paper Summary Code

Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise

Fahimeh Fooladgar, Minh Nguyen Nhat To, Parvin Mousavi, Purang Abolmaesumi

CVPR Workshops, 2024

Presented at CVPR-VAND Workshop.

Paper Supplementary

Lensepro: Label Noise-Tolerant Prototype-Based Network For Improving Cancer Detection In Prostate Ultrasound With Limited Annotations

Minh Nguyen Nhat To, Fahimeh Fooladgar, Paul F R Wilson, Mohamed Harmanani, M Gilany, Sojoudi S, A Jamzad, S Chang, P Black, Parvin Mousavi, Purang Abolmaesumi

International Journal of Computer Assisted Radiology and Surgery (IJCARS), Journal (2024)

Paper

ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Paul F R Wilson, Minh Nguyen Nhat To, A Jamzad, M Gilany, Mohamed Harmanani, T Elghareb, Fahimeh Fooladgar, B Wodlinger, Purang Abolmaesumi, Parvin Mousavi

MICCAI, Conference (2024)

Early Accept (Top 11%); Received "MICCAI Young Scientist Award".

Paper

Coarse Label Refinement For Improving Prostate Cancer Detection In Ultrasound Imaging

Minh Nguyen Nhat To, Fahimeh Fooladgar, et al.

IJCARS, Journal (2022)

Oral Presentation at IPCAI 2022.

Paper

Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization

Minh Nguyen Nhat To, et al.

MICCAI, Conference (2020)

Acceptance rate: 30%; Oral Presentation

Paper

Education

University of British Columbia
PhD in Electrical and Computer Engineering
Graduate Support Initiative Awards, Machine Learning in CAI Award – Runner Up

2020 – 2026

Sejong University, South Korea
MSc in Computer Science and Engineering
Graduate Research Fellowship

2017 – 2019

Vietnam National University – International University
BSc in Biomedical Engineering
Student Research Accomplishment with Distinction

2010 – 2014

Experience

Mila – Quebec AI Institute & McGill University
Postdoctoral Researcher
Privacy-preserving multimodal clinical reasoning, agentic RAG, and multi-agent image workflows.

Dec 2025 – Present

Vector Institute, Canada
Research Intern
Project: Detecting distribution shift in medical imaging
Supervisors: Rahul G. Krishnan, Parvin Mousavi

Jan – Apr 2024

University of British Columbia
Research Assistant, Robotics and Control Lab
Project: AI for prostate cancer detection in ultrasound imaging
Supervisors: Purang Abolmaesumi, Parvin Mousavi

2020 – Jan 2026

University of British Columbia
Teaching Assistant
Courses: System Software Engineering (CPEN 333), CPSC 160

2021 – 2025

Konkuk University Hospital, South Korea
Researcher
Project: Stroke diagnosis via magnetic resonance angiography
Supervisors: Hong Gee Roh, Jin Tae Kwak

2020

Sejong University, South Korea
Research Assistant, Quantitative Imaging & Informatics Lab
Projects: Deep learning for prostate cancer and ischemic stroke imaging

2017 – 2020

Tan Tao University, Vietnam
Research Assistant
Project: Subcortical volume vs reasoning performance; dual-task fMRI

2014 – 2016

Conference & Journal Reviewer
Reviewed for CVPR, MICCAI, ISBI, IEEE TPAMI, and other top-tier venues in computer vision and medical imaging.

2017 – Present

Skills

Research: Multimodal LLMs, agentic RAG, medical imaging, robust ML, clinical outcome prediction

Programming: Python, Matlab, C, C++, C#

Frameworks & Libraries: PyTorch, Torch Geometric, Keras, NumPy, Pandas, scikit-learn, OpenCV