OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 01.05.2026, 20:47

Joseph V. Hajnal

1.060 Arbeiten38.830 Zitationen

King's College London · GB

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Artificial intelligence, fetal echocardiography, and congenital heart disease

2021 · 55 Zit. · Prenatal Diagnosis

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time

2021 · 38 Zit. · Prenatal Diagnosis

Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?

2023 · 21 Zit. · Prenatal Diagnosis

Interaction between clinicians and artificial intelligence to detect fetal atrioventricular septal defects on ultrasound: how can we optimize collaborative performance?

2024 · 17 Zit. · Ultrasound in Obstetrics and Gynecology

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

Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach

2019 · 7 Zit. · Lecture notes in computer science

Video Clip Extraction From Fetal Ultrasound Scans Using Artificial Intelligence to Allow Remote Second Expert Review for Congenital Heart Disease

2025 · 3 Zit. · Prenatal Diagnosis

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

560 Fetal craniofacial biometry: feasibility of deep 3D MRI phenotyping in a cohort with Down syndrome using atlas-based label propagation

2023 · 0 Zit. · British Association of Perinatal Medicine and Neonatal Society

Automatic planning of T2-weighted fetal scans at 0.55T using fetal brain landmark detection

2024 · 0 Zit. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition