Fetal Skull Reconstruction via Deep Convolutional Autoencoders. - Juan J. Cerrolaza; Yuanwei Li; Carlo Biffi; Alberto Gómez 002; Jacqueline Matthew; Matthew Sinclair; Chandni Gupta; Caroline L. Knight; Daniel Rueckert (EMBC, 2018)

Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. - Carlo Biffi; Ozan Oktay; Giacomo Tarroni; Wenjia Bai; Antonio M. Simoes Monteiro de Marvao; Georgia Doumou; Martin Rajchl; Reem Bedair; Sanjay K. Prasad; Stuart A. Cook; Declan P. O'Regan; Daniel Rueckert (MICCAI (2), 2018)

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks. - Juan J. Cerrolaza; Yuanwei Li; Carlo Biffi; Alberto Gómez 002; Matthew Sinclair; Jacqueline Matthew; Caronline Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 2018)

Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images. - Jinming Duan 001; Jo Schlemper; Wenjia Bai; Timothy J. W. Dawes; Ghalib Bello; Carlo Biffi; Georgia Doumou; Antonio M. Simoes Monteiro de Marvao; Declan P. O'Regan; Daniel Rueckert (ShapeMI@MICCAI, 2018)

Three-dimensional cardiovascular imaging-genetics: a mass univariate framework. - Carlo Biffi; Antonio de Marvao; Mark I Attard; Timothy J. W. Dawes; Nicola Whiffin; Wenjia Bai; Wenzhe Shi; Catherine Francis; Hannah Meyer; Rachel J. Buchan; Stuart A. Cook; Daniel Rueckert; et al. (Bioinform., 2018)

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach. - Jinming Duan 001; Ghalib Bello; Jo Schlemper; Wenjia Bai; Timothy J. W. Dawes; Carlo Biffi; Antonio de Marvao; Georgia Doumou; Declan P. O'Regan; Daniel Rueckert (CoRR, 2018)

3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders. - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Antonio de Marvao; Stuart A. Cook; Declan P. O'Regan; Daniel Rueckert (ISBI, 2019)

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction. - Jinming Duan 001; Jo Schlemper; Chen Qin; Cheng Ouyang; Wenjia Bai; Carlo Biffi; Ghalib Bello; Ben Statton; Declan P. O'Regan; Daniel Rueckert (MICCAI (4), 2019)

Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. - Chen Chen 042; Carlo Biffi; Giacomo Tarroni; Steffen E. Petersen; Wenjia Bai; Daniel Rueckert (MICCAI (2), 2019)

Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. - Cheng Ouyang; Konstantinos Kamnitsas; Carlo Biffi; Jinming Duan 001; Daniel Rueckert (MICCAI (2), 2019)

Generalising Deep Learning MRI Reconstruction across Different Domains. - Cheng Ouyang; Jo Schlemper; Carlo Biffi; Gavin Seegoolam; Jose Caballero; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2019)

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling. - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Wenjia Bai; Ozan Oktay; Loïc Le Folgoc; Konstantinos Kamnitsas; Antonio de Marvao; Georgia Doumou; Jinming Duan 001; Sanjay K. Prasad; Stuart A. Cook; et al. (CoRR, 2019)

Deep-learning cardiac motion analysis for human survival prediction. - Ghalib A. Bello; Timothy J. W. Dawes; Jinming Duan 001; Carlo Biffi; Antonio de Marvao; Luke S. G. E. Howard; J. Simon R. Gibbs; Martin R. Wilkins; Stuart A. Cook; Daniel Rueckert; Declan P. O'Regan (Nat. Mach. Intell., 2019)

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach. - Jinming Duan 001; Ghalib Bello; Jo Schlemper; Wenjia Bai; Timothy J. W. Dawes; Carlo Biffi; Antonio de Marvao; Georgia Doumou; Declan P. O'Regan; Daniel Rueckert (IEEE Trans. Medical Imaging, 2019)

Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection. - Carlo Biffi; Steven McDonagh 001; Philip H. S. Torr; Ales Leonardis; Sarah Parisot (ECCV (8), 2020)

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (ECCV (29), 2020)

Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models. - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Wenjia Bai; Antonio de Marvao; Ozan Oktay; Christian Ledig; Loïc Le Folgoc; Konstantinos Kamnitsas; Georgia Doumou; Jinming Duan 001; Sanjay K. Prasad; et al. (IEEE Trans. Medical Imaging, 2020)

A novel AI device for real-time optical characterization of colorectal polyps. - Carlo Biffi; Pietro Salvagnini; Nhan Ngo Dinh; Cesare Hassan; Prateek Sharma; Giulio Antonelli; Halim Awadie; Sebastian Bernhofer; Sabela Carballal; Mário Dinis-Ribeiro; Agnès Fernández-Clotet; Gloria Fernández-Esparrach; et al. (npj Digit. Medicine, 2022)

Author Correction: A novel AI device for real-time optical characterization of colorectal polyps. - Carlo Biffi; Pietro Salvagnini; Nhan Ngo Dinh; Cesare Hassan; Prateek Sharma; Giulio Antonelli; Halim Awadie; Sebastian Bernhofer; Sabela Carballal; Mário Dinis-Ribeiro; Agnès Fernández-Clotet; Gloria Fernández-Esparrach; et al. (npj Digit. Medicine, 2022)

Self-Supervised Learning for Few-Shot Medical Image Segmentation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (IEEE Trans. Medical Imaging, 2022)

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing. - Giorgio Roffo; Carlo Biffi; Pietro Salvagnini; Andrea Cherubini (MICCAI (10), 2024)

REAL-Colon: A dataset for developing real-world AI applications in colonoscopy. - Carlo Biffi; Giulio Antonelli; Sebastian Bernhofer; Cesare Hassan; Daizen Hirata; Mineo Iwatate; Andreas Maieron; Pietro Salvagnini; Andrea Cherubini (CoRR, 2024)

Hard-Attention Gates with Gradient Routing for Endoscopic Image Computing. - Giorgio Roffo; Carlo Biffi; Pietro Salvagnini; Andrea Cherubini (CoRR, 2024)

Towards Polyp Counting in Full-Procedure Colonoscopy Videos. - Luca Parolari; Andrea Cherubini; Lamberto Ballan; Carlo Biffi (ISBI, 2025)

A temporal convolutional network-based approach and a benchmark dataset for colonoscopy video temporal segmentation. - Carlo Biffi; Giorgio Roffo; Pietro Salvagnini; Andrea Cherubini (Comput. Methods Programs Biomed., 2025)

Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy. - Luca Parolari; Andrea Cherubini; Lamberto Ballan; Carlo Biffi (CoRR, 2025)