Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
Publications in this area
233 in total, most recent first.
- AI-Based Prediction of Surfactant Need in Preterm Babies Using Clinical Data and Lung Ultrasound
- Ischemic Stroke Detection, Segmentation, and Volume Estimation using Multi-sequence MRI Data with Missing Sequences
- Modality-aware differentially private federated learning for partially observed multimodal healthcare prediction
- Benchmark validity in graph neural network scoring of metabolic reaction activity on Recon3D: detecting label leakage, memorized noise and input-invariant models
- Clinically Generalisable End-to-End Graph Learning for CT Image-Based Multitask Stroke Diagnosis
- Sertraline and Carfilzomib Synergize to Target T-cell Malignancies with Serine/Glycine synthesis activity via Cholesterol Dysregulation, Cellular Stress and Immune Modulation
- Artificial intelligence for brain cancer management: multimodal digital workflows for diagnosis, treatment planning, and longitudinal monitoring
- Towards equitable AI for women’s health: accessible data as a catalyst for innovation
- Multi-Objective Orchestration of Small Language Model Ensembles: Balancing Accuracy, Diversity, and Fairness
- Lumina: Seasonal Color Analysis System with Explainable Machine Learning
- MToP: A MATLAB Benchmarking Platform for Evolutionary Multitasking
- Fusing imaging and metabolic modeling via multimodal deep learning in ovarian cancer