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Publications (12)
- Application of Machine Learning Model to Prognosticate Functional Outcome in Patients with Acute Ischemic Stroke Secondary to Proximal Large Vessel Occlusion (P9-10.009) Save
- Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM Save
- Infarct and Penumbra Growth Rate usage in Machine Learning Model Improves Prognostic Outcome Prediction in Acute Ischemic Stroke Save
- Systematic review protocol to assess artificial intelligence diagnostic accuracy performance in detecting acute ischaemic stroke and large-vessel occlusions on CT and MR medical imaging Save
- Landmark Detection in 3D Medical Images Using Reinforcement Learning Save
- Sub-Object Data Augmentation And Custom Loss Functions for Automated Anatomical Landmarks Localisation in 3D Brain MR Images Save
- Machine Learning Model for Prognostication of 90-day Patient Outcome Immediately after Thrombectomy in Acute Ischemic Stroke Patients Save
- Enhancing infarct segmentation performance using domain-specific attention in Acute Ischemic Stroke patients Save
- Deep Convolutional Neural Network model for sub-Anatomy specific Landmark detection on Brain MRI Save
- Local and global transformations to improve learning of medical images applied to chest radiographs Save