AI Pipeline for Epilepsy Detection
Advanced AI system for epilepsy detection using arterial spin labeling MRI and foundational models
Posts by Collection
portfolio
Hierarchical Time-Series Representation Learning
Multi-domain EEG modeling for cognitive-load classification and ICU outcome prediction
publications
Learnable Feature Alignment with Attention-Based Data Augmentation for Medical Time Series
Published in Applied Soft Computing, 2024
Attention-based data augmentation methods for medical time series analysis with learnable feature alignment.
Recommended citation: Jalali, A. et al. (2024). "Learnable Feature Alignment with Attention-Based Data Augmentation for Medical Time Series." Applied Soft Computing.
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Adaptive Metadata-Guided Supervised Contrastive Learning for Epilepsy Detection
Published in IEEE Journal of Biomedical and Health Informatics, 2025
Novel approach for epilepsy detection using metadata-guided contrastive learning methods with advanced MRI analysis.
Recommended citation: Jalali, A. et al. (2025). "Adaptive Metadata-Guided Supervised Contrastive Learning for Epilepsy Detection." IEEE Journal of Biomedical and Health Informatics.
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Dynamically Adaptive Deformable Feature Fusion for Medical Imaging
Published in Engineering Applications of Artificial Intelligence, 2025
Advanced feature fusion techniques for improved medical imaging analysis with deformable architectures.
Recommended citation: Jalali, A. et al. (2025). "Dynamically Adaptive Deformable Feature Fusion for Medical Imaging." Engineering Applications of Artificial Intelligence.
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talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Hierarchical Time-Series Representation Learning for Medical AI
Published:
This conference presentation covers advances in hierarchical time-series representation learning with applications to multi-domain EEG modeling for cognitive-load classification and ICU outcome prediction.
AI Pipelines for Epilepsy Detection: From MRI to Clinical Decision Support
Published:
This talk presents recent advances in developing AI pipelines for epilepsy detection and presurgical decision-making using arterial spin labeling MRI and foundational models for neurological disease prediction.
teaching
AI Workshop: Medical Image Analysis
Workshop, KNU-LG Convergence Research Center, 2022
Intensive workshop on applying artificial intelligence techniques to medical image analysis, focusing on practical implementation and real-world applications in clinical settings.
Deep Learning for Medical Applications
Graduate Course, Queen's University, Department of Electrical and Computer Engineering, 2023
This advanced graduate course covers the application of deep learning techniques to medical imaging and biomedical signal processing. Students learn to apply state-of-the-art neural network architectures to real-world medical problems.