output
20102026
most citedThe role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies

818 citations

Showing 2022Show all

8 papers · 1 filter

cs.LG2022★ 148 cited

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques

Mingxuan Liu, Siqi Li, Han Yuan +7

Objective: The proper handling of missing values is critical to delivering reliable estimates and decisions, especially in high-stakes fields such as clinical research. The increas…

physics.med-ph2022★ 13 cited

A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy

Oscar Pastor-Serrano, Steven Habraken, Mischa Hoogeman +5

In radiotherapy, the internal movement of organs between treatment sessions causes errors in the final radiation dose delivery. Motion models can be used to simulate motion pattern…

stat.ME2022★ 13 cited

Perpetual Observational Studies: New strategies to support efficient implementation of observational studies and randomized trials in the infectious diseases arena

N. Hassoun-Kheir, C. H. van Werkhoven, J. Dunning +17

The increasing threat of emerging infectious diseases and antimicrobial resistance requires more efficient, high-quality research. Perpetual Observational Studies (POS) nested with…

eess.IV2022★ 31 cited

CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography

Ruisheng Su, P. Matthijs van der Sluijs, Yuan Chen +7

Cerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization with high…

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

physics.med-ph2022★ 12 cited

US Velocimetry in Participants with Aortoiliac Occlusive Disease

Stefan Engelhard, Majorie van Helvert, Jason Voorneveld +5

The accurate quantification of blood flow in aortoiliac arteries is challenging but clinically relevant because local flow patterns can influence atherosclerotic disease. To invest…