Uncertainty-Aware Lumbar Stenosis Classifier
Journal project building an uncertainty-aware deep learning classifier for central-canal stenosis grading from lumbar sagittal MRI. Combined Monte-Carlo dropout and test-time …
Journal project building an uncertainty-aware deep learning classifier for central-canal stenosis grading from lumbar sagittal MRI. Combined Monte-Carlo dropout and test-time …
Data-driven study identifying which chronic low-back-pain patients benefit from lumbar steroid injections. Developed nested cross-validated ML models with SHAP interpretability on …
Diffusion-based deep-learning framework (ETH Zürich BMDS Lab) for automated multiclass segmentation of lumbar spine MRI in low-back-pain patients. Segments vertebral bodies, discs …
A multistage deep-learning pipeline (YOLO detection + damage regression) to estimate flea-beetle crop damage in the field. Artificial Intelligence in Agriculture, 2024 (BASF).
Automated AI-based extraction of mitral and tricuspid valve motion parameters from long-axis cine cardiac MRI. European Journal of Radiology, 2023.
Small Android demo application which classifies singing vs speaking vs silence over the last 2 seconds based on microphone sensor data.
Deep-learning pipeline to decode reach-and-grasp motor intention from EEG brain signals for brain-computer interface research at Bit Brain.
Deep-learning extraction of mitral-valve annulus motion parameters from long-axis cine cardiac MRI. ISMRM 29th Annual Meeting, 2021.
Two chained CNNs for automatic mitral valve-annulus landmark tracking on 2- and 4-chamber CINE CMR, with an interactive dashboard for cluster analysis and anomaly detection. …
Illustrative example of a Reinforcement Learning algorithm for optimal storing and pick-up routing of objects in a warehouse.