Víctor Manuel Campello

Valencian International University

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Articles (19)

Collaborators (10)

Robert Martí

Associate Professor.

Universitat de Girona

Hongwei Li

Harvard University

UNITED STATES

Kamil Mikolaj

Technical University of Denmark

Sergio Escalera

Aalborg University

Moona Mazher

Universitat Rovira i Virgili

Kumaradevan Punithakumar

Associate Professor

University of Alberta

Chen Chen

University of Sheffield

UNITED KINGDOM

Carles Batlle

Associate Professor

Universitat Politècnica de Catalunya

Benard Botwe

City, University of London

UNITED KINGDOM

Kathleen Curran

Dublin City University

Víctor Manuel Campello

Research Interests

Explore related searches

Contact this professor

Articles (19)

Collaborators (10)

Robert Martí

Hongwei Li

Kamil Mikolaj

Sergio Escalera

Moona Mazher

Kumaradevan Punithakumar

Chen Chen

Carles Batlle

Benard Botwe

Kathleen Curran

How do I reach out?

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Víctor Manuel Campello

Research Interests

Explore related searches

Contact this professor

Articles (19)

Uncertainty-fetal head and pubic symphysis segmentation with enhanced multi-scale features and sparse visual graph attention

Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353] (Medical Image Analysis (2025) 99, (S1361841524002780), (10.1016/j.media.2024.103353))

Segment Anything Model for fetal head-pubic symphysis segmentation in intrapartum ultrasound image analysis

ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries

Empirical Comparison of Post-processing Debiasing Methods for Machine Learning Classifiers in Healthcare

PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images

Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Polyharmonic Green functions and nonlocal Bondi-Metzner-Sachs transformations of a free scalar field

Author Correction: Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries (Scientific Reports, (2023), 13, 1, (2728), 10.1038/s41598-023-29490-3)

Minimising multi-centre radiomics variability through image normalisation

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge

Domain generalization in deep learning for contrast-enhanced imaging

Mathematical Abilities in School-Aged Children: A Structural Magnetic Resonance Imaging Analysis With Radiomics

Atrial fibrillation prediction by combining ECG markers and CMR radiomics

Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Prediction of incident cardiovascular events using machine learning and CMR radiomics

Collaborators (10)

Robert Martí

Hongwei Li

Kamil Mikolaj

Sergio Escalera

Moona Mazher

Kumaradevan Punithakumar

Chen Chen

Carles Batlle

Benard Botwe

Kathleen Curran

How do I reach out?

Meet Kite AI