Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior. - Gabriel Maicas; Gustavo Carneiro 001; Andrew P. Bradley (ISBI, 2017)

Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. - Gabriel Maicas; Gustavo Carneiro 001; Andrew P. Bradley; Jacinto C. Nascimento; Ian D. Reid 001 (MICCAI (3), 2017)

Training Medical Image Analysis Systems like Radiologists. - Gabriel Maicas; Andrew P. Bradley; Jacinto C. Nascimento; Ian D. Reid 001; Gustavo Carneiro 001 (MICCAI (1), 2018)

Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. - Gabriel Maicas; Andrew P. Bradley; Jacinto C. Nascimento; Ian D. Reid 001; Gustavo Carneiro 001 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI. - Gabriel Maicas; Gerard Snaauw; Andrew P. Bradley; Ian D. Reid 001; Gustavo Carneiro 001 (ISBI, 2019)

End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. - Gerard Snaauw; Dong Gong; Gabriel Maicas; Anton van den Hengel; Wiro J. Niessen; Johan Verjans; Gustavo Carneiro 001 (ISBI, 2019)

Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. - Gabriel Maicas; Andrew P. Bradley; Jacinto C. Nascimento; Ian Reid 001; Gustavo Carneiro 001 (Medical Image Anal., 2019)

Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CT. - Saskia Glaser; Gabriel Maicas; Sergei Bedrikovetski; Tarik Sammour; Gustavo Carneiro 001 (ISBI, 2020)

Photoshopping Colonoscopy Video Frames. - Yuyuan Liu; Yu Tian 001; Gabriel Maicas; Leonardo Zorron Cheng Tao Pu; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (ISBI, 2020)

Unsupervised Task Design to Meta-Train Medical Image Classifiers. - Gabriel Maicas; Cuong Nguyen 006; Farbod Motlagh; Jacinto C. Nascimento; Gustavo Carneiro 001 (ISBI, 2020)

Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification. - Renato Hermoza; Gabriel Maicas; Jacinto C. Nascimento; Gustavo Carneiro 001 (MICCAI (6), 2020)

Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. - Fengbei Liu; Yaqub Jonmohamadi; Gabriel Maicas; Ajay K. Pandey; Gustavo Carneiro 001 (MICCAI (1), 2020)

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. - Yu Tian 001; Gabriel Maicas; Leonardo Zorron Cheng Tao Pu; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (MICCAI (6), 2020)

Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning. - Yaqub Jonmohamadi; Yu Takeda; Fengbei Liu; Fumio Sasazawa; Gabriel Maicas; Ross Crawford; Jonathan Roberts 001; Ajay K. Pandey; Gustavo Carneiro 001 (IEEE Access, 2020)

Post-Hoc Overall Survival Time Prediction From Brain MRI. - Renato Hermoza; Gabriel Maicas; Jacinto C. Nascimento; Gustavo Carneiro 001 (ISBI, 2021)

Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis. - Sergei Bedrikovetski; Nagendra N. Dudi-Venkata; Gabriel Maicas; Hidde M. Kroon; Warren Seow; Gustavo Carneiro 001; James W. Moore; Tarik Sammour (Artif. Intell. Medicine, 2021)

Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. - Yu Tian 001; Leonardo Zorron Cheng Tao Pu; Yuyuan Liu; Gabriel Maicas; Johan W. Verjans; Alastair D. Burt; Seon-Ho Shin; Rajvinder Singh; Gustavo Carneiro 001 (CoRR, 2021)

Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. - Gerard Snaauw; Michele Sasdelli; Gabriel Maicas; Stephan Lau; Johan Verjans; Mark Jenkinson; Gustavo Carneiro 001 (EMBC, 2022)

Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images. - Renato Hermoza; Gabriel Maicas; Jacinto C. Nascimento; Gustavo Carneiro 001 (MICCAI (8), 2022)

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. - Melissa D. McCradden; Oluwadara Odusi; Shalmali Joshi; Ismail Akrout; Kagiso Ndlovu; Ben Glocker; Gabriel Maicas; Xiaoxuan Liu; Mjaye Mazwi; Tee Garnett; Lauren Oakden-Rayner; Myrtede Alfred; et al. (FAccT, 2023)