2 papers
cs.CL2023
Investigating Deep-Learning NLP for Automating the Extraction of Oncology Efficacy Endpoints from Scientific Literature
Aline Gendrin-Brokmann, Eden Harrison, Julianne Noveras +8
Benchmarking drug efficacy is a critical step in clinical trial design and planning. The challenge is that much of the data on efficacy endpoints is stored in scientific papers in…
eess.IV2021
Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks
Daniel Fernandez-Llaneza, Andrea Gondova, Harris Vince +5
Automated segmentation of human cardiac magnetic resonance datasets has been steadily improving during recent years. However, these methods are not directly applicable in preclinic…