Youth Reflection: Kids Help Phone AI Training Pilot
Kids Help Phone youth councillor Simran shares her perspective on RML's pilot project developing an agentic AI framework for training frontline mental health support workers.
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Latest News
NSERC Alliance Grant Awarded for AI-Assisted Intestinal Ultrasound Analysis
Dr. Naimul Khan has been awarded an NSERC Alliance grant (with Mitacs Accelerate support) totalling $120K to develop AI algorithms for segmentation and analysis of intestinal …
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Bronze Medal at Kaggle — Bacterial Flagellar Motors Detection
RML wins Bronze medal (64th/1136 teams) in the Kaggle competition on Bacterial Flagellar Motors Detection in 3D Tomograms.
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RML at IEEE ISBI 2025
RML presents new work on neonatal echocardiographic viewpoint classification at the IEEE International Symposium on Biomedical Imaging 2025.
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1 min read
RML at IEEE EMBC 2024
RML presents three papers at the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
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1 min read
Recent Publications
DynaGuide: A Generalizable Dynamic Guidance Framework for Zero-Shot Guided Unsupervised Semantic Segmentation
We propose DynaGuide, a generalizable dynamic guidance framework that enables zero-shot guided unsupervised semantic segmentation without requiring labeled training data. The …
boujemaa-guermazi
Enhanced Cross-Dataset Electroencephalogram-Based Emotion Recognition Using Unsupervised Domain Adaptation
We propose an enhanced unsupervised domain adaptation framework for EEG-based emotion recognition that achieves robust cross-dataset generalization without requiring target-domain …
Md Niaz Imtiaz
Cross-Database and Cross-Channel Electrocardiogram Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation
We present an unsupervised domain adaptation approach for ECG arrhythmia classification that generalizes across different databases and lead configurations without requiring …
Md Niaz Imtiaz
Multilevel Stress Assessment from ECG in a Virtual Reality Environment Using Multimodal Fusion
We propose a multilevel stress assessment framework that fuses ECG signals with contextual data from a virtual reality environment. The system classifies multiple levels of …
zeeshan-ahmad
A Novel Focal Tversky Loss Function with Improved Attention U-Net for Lesion Segmentation
We propose the Focal Tversky Loss, a generalized loss function that addresses extreme class imbalance in medical image segmentation. Combined with an improved Attention U-Net …
nabila-abraham