Gabriel Maicas

According to our database1, Gabriel Maicas authored at least 19 papers between 2017 and 2022.

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Bibliography

2022
Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images.
CoRR, 2022

Mutual information neural estimation for unsupervised multi-modal registration of brain images.
CoRR, 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

Post-Hoc Overall Survival Time Prediction From Brain MRI.
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

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy.
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

Unsupervised Task Design to Meta-Train Medical Image Classifiers.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Photoshopping Colonoscopy Video Frames.
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
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI.
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

Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Training Medical Image Analysis Systems like Radiologists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI.
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


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