Gabriel Maicas
Orcid: 0000-0002-0490-7633
According to our database1,
Gabriel Maicas
authored at least 20 papers
between 2017 and 2023.
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Bibliography
2023
What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
2022
Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning.
CoRR, 2021
Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis.
Artif. Intell. Medicine, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning.
IEEE Access, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CT.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Medical Image Anal., 2019
End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017