Patricia Lasserre, University of British Columbia

Research

data-driven knowledge discovery deep learning knowledge base systems machine learning optimal resource management timeline prediction time series prediction

Latest papers

Uncertainty quantification of U-Net based segmentation tool using conformal prediction.
Journal of applied clinical medical physics · 2026
ConvNet-Generated Adversarial Perturbations for Evaluating 3D Object Detection Robustness.
Sensors (Basel, Switzerland) · 2025
Extraction of Social Determinants of Health From Electronic Health Records Using Natural Language Processing.
JCO clinical cancer informatics · 2025

All 5 publications

Latest funding

LandLearn: Collaborative XR and AI experiences for K-12 Wetland Education
SSHRC · 2026 · Principal investigator
$99,940
Okanagan WaterFutures: Experiential Games for Water Responsibility
SSHRC · 2023 · Co-investigator
$104,968
The Determinants and Impacts of Social Washing
SSHRC · 2023 · Co-investigator
$58,561

All 6 grants and awards

5 publications.

01

Uncertainty quantification of U-Net based segmentation tool using conformal prediction.

Borden BJ, Graham-Knight JB, Lasserre P, Lucas S, Rajapakshe RD

Journal of applied clinical medical physics2026

DOI: 10.1002/acm2.70663 PMID: 42338036

02

ConvNet-Generated Adversarial Perturbations for Evaluating 3D Object Detection Robustness.

Abraha TM, Graham-Knight JB, Lasserre P, Najjaran H, Lucet Y

Sensors (Basel, Switzerland)2025

DOI: 10.3390/s25196026 PMID: 41094849

03

Extraction of Social Determinants of Health From Electronic Health Records Using Natural Language Processing.

Chen Z, Lasserre P, Lin A, Rajapakshe R

JCO clinical cancer informatics2025

DOI: 10.1200/cci-24-00317 PMID: 40700678

04

Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification.

Ahmed MR, Shehata MS, Lasserre P

Computers in biology and medicine2025Senior author

DOI: 10.1016/j.compbiomed.2025.110071 PMID: 40174502

05

Edge detection of the radiation field in double exposure portal images using a curve propagation algorithm.

Lasserre P, Cutt B, Moffat J

Journal of applied clinical medical physics2008First author

DOI: 10.1120/jacmp.v9i4.2710 PMID: 19020476

LandLearn: Collaborative XR and AI experiences for K-12 Wetland Education

Principal investigatorSSHRC2026Insight Development Grants

Principal investigators: Lasserre, Patricia

$99,940

Okanagan WaterFutures: Experiential Games for Water Responsibility

Co-investigatorSSHRC2023Insight Grants

Principal investigators: Dulic, Aleksandra

Keywords: serious games; experiential learning; place-based education; water responsibility; youth development

$104,968

The Determinants and Impacts of Social Washing

Co-investigatorSSHRC2023Insight Grants

Principal investigators: Trabelsi, Samir

Keywords: corporate social responsibility; social washing; earnings quality; CEO traits; media coverage; institutional investors

$58,561

Machine learning for process improvement and resource management in the oil and gas sector

Principal investigatorNSERC2021Alliance Grants

Principal investigators: Lasserre, Patricia P

Keywords: data-driven knowledge discovery; deep learning; knowledge base systems; machine learning; optimal resource management; timeline prediction; time series prediction

$240,000

CREATE Immersive Technologies (CITech)

Co-investigatorNSERC2021Collaborative Research and Training Experience

Principal investigators: Sadeghzadeh Milani, Abbas A

Keywords: 3d learning; application innovation; community engagement; data visualization; education innovation; immersive technologies; interactivity; problem-based learning; smart manufacturing and maintenance; technology innovation

$1,050,000

Estimating oil and gas well life cycle using machine learning

Co-investigatorNSERC2021Alliance Grants

Principal investigators: Lucet, Yves YP

Keywords: generative additive models; machine learning; machine learning fairness; ML interpretability/explainability; oil and gas well lifecycle; optimal classification tree; optimal rule lists; orphan wells; site restoration; well lifecycle prediction

$240,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Yves Lucet

UBCO Comp. Sci, Math., Phys., and Stat.

1 shared papers, latest 2025

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their SSHRC grant from 2026

Subject: Prospective PhD student: data-driven knowledge discovery Dear Professor Lasserre, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Uncertainty quantification of U-Net based segmentation tool using conformal prediction." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your SSHRC-funded project "LandLearn: Collaborative XR and AI experiences for K-12 Wetland Education" (2026), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]