Bernhard Kainz

Metrics reloaded: recommendations for image analysis validation

2024 · 380 Zit. · Nature Methods

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

2021 · 271 Zit. · npj Digital Medicine

Understanding metric-related pitfalls in image analysis validation

2024 · 166 Zit. · Nature Methods

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

Artificial intelligence, fetal echocardiography, and congenital heart disease

2021 · 57 Zit. · Prenatal Diagnosis

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network

2018 · 42 Zit. · Lecture notes in computer science

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · IT University Of Copenhagen (IT University of Copenhagen)

A Review of Causality for Learning Algorithms in Medical Image Analysis

2022 · 11 Zit. · The Journal of Machine Learning for Biomedical Imaging

Cascaded Transforming Multi-task Networks For Abdominal Biometric Estimation from Ultrasound

2018 · 9 Zit.

Sonographer interaction with artificial intelligence: collaboration or conflict?

2023 · 7 Zit. · Ultrasound in Obstetrics and Gynecology

Improving image labelling quality

2023 · 5 Zit. · Nature Machine Intelligence

AI to Assist in the Fetal Anomaly Ultrasound Scan: A Randomized Controlled Trial

2025 · 3 Zit. · NEJM AI

Exploring a New Paradigm for the Fetal Anomaly Ultrasound Scan: Artificial Intelligence in Real Time

2021 · 3 Zit. · SSRN Electronic Journal

VP17.01: Exploring a new paradigm for the fetal anomaly ultrasound scan: artificial intelligence in real‐time

2021 · 1 Zit. · Ultrasound in Obstetrics and Gynecology

Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?

2021 · 1 Zit. · Lecture notes in computer science