Review and Recommendations for using Artificial Intelligence in Intracoronary Optical Coherence Tomography Analysis.

Recent methodological advances in federated learning for healthcare.

Publisher Correction: The curious case of the test set AUROC.

The curious case of the test set AUROC.

Parameter choices in HaarPSI for IQA with medical images.

Deep Generative Classification of Blood Cell Morphology.

A study on the adequacy of common IQA measures for medical images.

A study of why we need to reassess full reference image quality assessment with medical images.

FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimization.

Active Reduction of Apparent Cable Capacitance.

Navigating the development challenges in creating complex data systems.

Recent Methodological Advances in Federated Learning for Healthcare.

REFORMS: Reporting Standards for Machine Learning Based Science.

Reinterpreting survival analysis in the universal approximator age.

Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data.

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.

Estimating defection in subscription-type markets: empirical analysis from the scholarly publishing industry.

Navigating the challenges in creating complex data systems: a development philosophy.

Classification of datasets with imputed missing values: does imputation quality matter?

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans.

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.

Semantics and Axiomatization for Stochastic Differential Dynamic Logic.

A Major Ecosystem Shift in Coastal East African Waters During the 1997/98 Super El Niño as Detected Using Remote Sensing Data.

On an effective multigrid solver for solving a class of variational problems with application to image segmentation.

Universal Semantics for the Stochastic Lambda-Calculus.

Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.

Chan-Vese Reformulation for Selective Image Segmentation.

A Convex Geodesic Selective Model for Image Segmentation.

Multigrid algorithm based on hybrid smoothers for variational and selective segmentation models.

The MaSuRCA genome assembler.

Figaro: a novel statistical method for vector sequence removal.

A Preprocessor for Shotgun Assembly of Large Genomes.

Reducing storage requirements for biological sequence comparison.