Víctor M. Campello
Orcid: 0000-0003-1727-983X
According to our database1,
Víctor M. Campello
authored at least 13 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
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
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