Carlo Biffi

According to our database, Carlo Biffi authored at least 26 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy.

Luca Parolari, Andrea Cherubini, Lamberto Ballan, Carlo Biffi

CoRR, July, 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

Towards Polyp Counting in Full-Procedure Colonoscopy Videos.

Luca Parolari, Andrea Cherubini, Lamberto Ballan, Carlo Biffi

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Hard-Attention Gates with Gradient Routing for Endoscopic Image Computing.

Giorgio Roffo, Carlo Biffi, Pietro Salvagnini, Andrea Cherubini

CoRR, 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

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing.

Giorgio Roffo, Carlo Biffi, Pietro Salvagnini, Andrea Cherubini

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022

Self-Supervised Learning for Few-Shot Medical Image Segmentation.

Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert

IEEE Trans. Medical Imaging, 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, Ian Gralnek, Yuta Higasa, Taku Hirabayashi, Tatsuki Hirai, Mineo Iwatate, Miki Kawano, Markus Mader, Andreas Maieron, Sebastian Mattes, Tastuya Nakai, Ingrid Ordas, Raquel Ortigão, Oswaldo Ortiz Zúñiga, Maria Pellisé, Cláudia Pinto, Florian Riedl, Ariadna Sánchez, Emanuel Steiner, Yukari Tanaka, Andrea Cherubini

npj Digit. Medicine, 2022

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, Ian Gralnek, Yuta Higasa, Taku Hirabayashi, Tatsuki Hirai, Mineo Iwatate, Miki Kawano, Markus Mader, Andreas Maieron, Sebastian Mattes, Tastuya Nakai, Ingrid Ordas, Raquel Ortigão, Oswaldo Ortiz Zúñiga, Maria Pellisé, Cláudia Pinto, Florian Riedl, Ariadna Sánchez, Emanuel Steiner, Yukari Tanaka, Andrea Cherubini

npj Digit. Medicine, 2022

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, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert

IEEE Trans. Medical Imaging, 2020

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation.

Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert

Proceedings of the Computer Vision - ECCV 2020, 2020

Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection.

Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.

Jinming Duan, 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

Deep-learning cardiac motion analysis for human survival prediction.

Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan, 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

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, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert

CoRR, 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

Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation.

Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images.

Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction.

Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.

Jinming Duan, 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

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, Declan P. O'Regan

Bioinform., 2018

Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images.

Jinming Duan, 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

Proceedings of the Shape in Medical Imaging, 2018

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks.

Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gómez, Matthew Sinclair, Jacqueline Matthew, Caronline Knight, Bernhard Kainz, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fetal Skull Reconstruction via Deep Convolutional Autoencoders.

Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gómez, Jacqueline Matthew, Matthew Sinclair, Chandni Gupta, Caroline L. Knight, Daniel Rueckert

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018