[MICCAI 2022] Official Implementation for "Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging"
Python-based Advanced Numerical Nonlinear Optimization for Radiotherapy
Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings
Cusal Inference applied to timeseries, uses an event database to generate a timeseries of the outcome given a sliding window containing events. Useful to add causal outcomes of events into multivariate timeseries forecasting models.
Deeper IMPACT: Ordinal Models for Outcome Prediction After Traumatic Brain Injury
🧬🔍CNV analysis and outcome prediction in Ultra-High-Risk and First Episode Psychosis individuals 🩺🧠
COVID-19 outcome prediction models based on machine learning algorithms. The unique feature is a custom cross-validation strategy based on the three clinical datasets of age- and gender-matched patients.
Code repository for the paper entitled "Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images" published in "Cancers" journal.
Add a description, image, and links to the outcome-prediction topic page so that developers can more easily learn about it.
To associate your repository with the outcome-prediction topic, visit your repo's landing page and select "manage topics."