activity
20202024
most citedMONAI: An open-source framework for deep learning in healthcare

452 citations · 548 across the 7 of their papers we have counts for

collaborators

11 papers

cs.CV2024

A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer

Inês P. Machado, Anna Reithmeir, Fryderyk Kogl +13

High-grade serous ovarian carcinoma (HGSOC) is characterised by significant spatial and temporal heterogeneity, typically manifesting at an advanced metastatic stage. A major chall…

eess.IV2023★ 41 cited

Generative AI for Medical Imaging: extending the MONAI Framework

Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot +21

Recent advances in generative AI have brought incredible breakthroughs in several areas, including medical imaging. These generative models have tremendous potential not only to he…

physics.med-ph2022★ 2 cited

Brain PET-MR attenuation correction with deep learning: method validation in adult and clinical paediatric data

Siti N. Yaakub, Colm J. McGinnity, Eric Kerfoot +9

Current methods for magnetic resonance-based positron emission tomography attenuation correction (PET-MR AC) are time consuming, and less able than computed tomography (CT)-based A…

cs.AI2022★ 4 cited

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez +24

Artificial Intelligence (AI) has become commonplace to solve routine everyday tasks. Because of the exponential growth in medical imaging data volume and complexity, the workload o…

cs.LG2022★ 452 cited

MONAI: An open-source framework for deep learning in healthcare

M. Jorge Cardoso, Wenqi Li, Richard Brown +53

Artificial Intelligence (AI) is having a tremendous impact across most areas of science. Applications of AI in healthcare have the potential to improve our ability to detect, diagn…

physics.med-ph2022★ 49 cited

Pseudo-CTs from T1-weighted MRI for planning of low-intensity transcranial focused ultrasound neuromodulation: an open-source tool

Siti Nurbaya Yaakub, Tristan A. White, Eric Kerfoot +3

Background: Individual skull models of bone density and geometry are important when planning the expected transcranial ultrasound acoustic field and estimating mechanical and therm…