Postdoctoral Scientist in Neuroimaging of Epilepsy
Data-centric explainable machine learning in MRI-negative focal epilepsies using multi-contrast MRI
- Multi-Task Multi-Modal Learning - designed and implemented a multi-task hippocampal subfield segmentation and seizure focus lateralization pipeline in temporal lobe epilepsy
Machine Learning & Signal Processing Intern
Algorithm development for arrhythmia detection in a wearable single-lead ECG monitoring solution at a MedTech startup
- Developed algorithms for supervised beat classification, unsupervised anomaly detection and active learning strategies based on public and private datasets
- Data Management: integrated, curated, and annotated heterogeneous sources of cardiac electrophysiology datasets for training data
- DataOps: Modernized data storage by improving storage, archival and performance efficiencies by migrating to compressed binary HDF5 containers
- Demonstrated the business/clinical value-add of the machine learning solution to the relevant stakeholders
- Co-authored a successful grant application valued at CA$20,000
Doctoral Research Assistant
Multi-contrast MR imaging analysis using machine learning for clinical decision support in MRI-negative epilepsy
- Byaesian Lesion Detection with Risk Stratification: developed and validated a fully convolutional deep learning pipeline with uncertainty quantification (to provide diagnostic confidence) for lesion detection in focal cortical dysplasia across 9 epilepsy centres worldwide
- Segmentation with Clinical Diagnosis: built a hippocampal subfield segmentation and focus lateralization pipeline in temporal lobe epilepsy
- Multimodal Data Synthesis: implemented generative adversarial networks to synthesize missing modalities (T2-weighted from T1-weighted MRI and vice-versa)
- Multimodal Data Reconstruction: implemented reconstruction of multimodal magnetic resonance fingerprinting using deep learning based regression models
- Conducted a large-scale systematic review and meta-analysis to demonstrate the heterogeneity in the clinical and operating definition of MRI-negative epilepsies
Graduate Research Assistant
Characterized disruptions of functional connectivity in experimental models of epilepsy using electrophysiology (EEG) and resting-state functional MRI (rsfMRI)
- Performed surgeries in seizure-induced Long-Evans rats to implant depth electrodes to record intracortical EEG recordings
- Leveraged rsfMRI at 9.4 Tesla to characterize extensive disruptions of the functional networks beyond the hippocampus in a graph theoretical framework
- Contributed to the RF-coil design for a volumetric receive coil compatible with MRI cradle to immobilize the rats
Validation of a deep Learning algorithm for detecting lesions in MRI-negative focal cortical dysplasia with uncertainty quantification for assigning diagnostic confidence across 9 tertiary epilepsy care centers
Principles Implemented: Two-Stage Patch-Based Detector, 3D Bayesian Convolutional Neural Networks, Model Uncertainty using Monte Carlo Dropout
Technology Stack: Python, Keras, Theano, Docker
Web app to generate textures maps from MRI using Advanced Normalization Tools. The pipeline generates quantitative 3D maps derived from T1-weighted MRI or computer-aided detection of focal cortical dysplasia (FCD)
Principles Implemented: Relative Intensity and Gradient Magnitude
Technology Stack: Python, Plotly Dash, Flask, ANTsPy, Docker
V-Net architecture implementation for brain extraction (removal of skull, dura mater, and cerebellum) using either T1-weighted alone or in conjunction with T2-weighted FLAIR MRI images in malformations of cortical development
Principles Implemented: 3D Convolutional Neural Networks, 3D Fully Connected Conditional Random Fields
Technology Stack: Python, PyTorch, Docker
Brain - 01/2023
H. M. Lee, S.-J. Hong, R. Gill, B. Caldairou, I. Wang, J.-g. Zhang, F. Deleo, and others
Brain - 10/2022
H. M. Lee, F. Fadaie, R. Gill, B. Caldairou, V. Sziklas, J. Crane, S.-J. Hong, and others
Neurology - 10/2021
R. S. Gill, H.-M. Lee, B. Caldairou, S.-J. Hong, C. Barba, F. Deleo, L. D'Incerti, and others
NeuroImage - 01/2020
H. M. Lee, S.-J. Hong, R. Gill, B. Caldairou, I. Wang, J.-g. Zhang, F. Deleo, and others
Epilepsia - 01/2020
A. Bernasconi, F. Cendes, W. H. Theodore, R. S. Gill, M. J. Koepp, R. E. Hogan, G. D. Jackson, and others
International Conference on Medical Image Computing and Computer Assisted Intervention - 01/2019
R. S. Gill, B. Caldairou, N. Bernasconi, and A. Bernasconi
NeuroImage: Clinical - 01/2017
R. S. Gill, S. M. Mirsattari, and L. S. Leung