[MICCAI 2022] Official Implementation for "Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging"
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Updated
May 1, 2023 - Python
[MICCAI 2022] Official Implementation for "Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging"
[MICCAI 2024] Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images
Bi-temporal CTP–DWI tissue phenotyping for acute ischemic stroke (IEEE BHI 2026)
Evidential physics-informed neural networks for CT perfusion with voxel-wise uncertainty (MICCAI 2026)
Minimal manuscript implementation of BoxPINN for CT perfusion reconstruction
3D latent diffusion with lesion-aware post-training: synthesising DWI/ADC from CT perfusion
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