Víctor M. Campello
Orcid: 0000-0003-1727-983X
According to our database1,
Víctor M. Campello
authored at least 26 papers
between 2019 and 2026.
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Bibliography
2026
Uncertainty-fetal head and pubic symphysis segmentation with enhanced multi-scale features and sparse visual graph attention.
Expert Syst. Appl., 2026
2025
Empirical Comparison of Post-processing Debiasing Methods for Machine Learning Classifiers in Healthcare.
J. Heal. Informatics Res., September, 2025
Federated learning in low-resource settings: A chest imaging study in Africa - Challenges and lessons learned.
CoRR, May, 2025
ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries.
Medical Image Anal., 2025
Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353].
Medical Image Anal., 2025
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images.
Medical Image Anal., 2025
Segment Anything Model for fetal head-pubic symphysis segmentation in intrapartum ultrasound image analysis.
Expert Syst. Appl., 2025
Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025
2024
Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network.
IEEE J. Biomed. Health Informatics, August, 2024
PhD thesis, 2024
SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023
2022
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Medical Image Anal., 2022
Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries.
CoRR, 2022
Comput. Biol. Medicine, 2022
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021
Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020
2019
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019