Carlo Biffi

Orcid: 0000-0002-4913-7441

According to our database1, Carlo Biffi authored at least 23 papers between 2018 and 2024.

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Bibliography

2024
Hard-Attention Gates with Gradient Routing for Endoscopic Image Computing.
CoRR, 2024

REAL-Colon: A dataset for developing real-world AI applications in colonoscopy.
CoRR, 2024

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022
Self-Supervised Learning for Few-Shot Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Author Correction: A novel AI device for real-time optical characterization of colorectal polyps.
npj Digit. Medicine, 2022

A novel AI device for real-time optical characterization of colorectal polyps.
npj Digit. Medicine, 2022

2020
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.
IEEE Trans. Medical Imaging, 2020

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection.
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.
IEEE Trans. Medical Imaging, 2019

Deep-learning cardiac motion analysis for human survival prediction.
Nat. Mach. Intell., 2019

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.
CoRR, 2019

Generalising Deep Learning MRI Reconstruction across Different Domains.
CoRR, 2019

Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction.
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.
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.
CoRR, 2018

Three-dimensional cardiovascular imaging-genetics: a mass univariate framework.
Bioinform., 2018

Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images.
Proceedings of the Shape in Medical Imaging, 2018

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fetal Skull Reconstruction via Deep Convolutional Autoencoders.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


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