Francesco Calivá

Orcid: 0000-0002-0425-7511

According to our database1, Francesco Calivá authored at least 25 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Fixed-Point Quantization Aware Training for on-Device Keyword-Spotting.
Proceedings of the IEEE International Conference on Acoustics, 2023

Self-Supervised Speech Representation Learning for Keyword-Spotting With Light-Weight Transformers.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Surface spherical encoding and contrastive learning for virtual bone shape aging.
Medical Image Anal., 2022

2020
Deep Bayesian Self-Training.
Neural Comput. Appl., 2020

Adversarial Robust Training in MRI Reconstruction.
CoRR, 2020

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020

Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning.
CoRR, 2020

Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019
Distance Map Loss Penalty Term for Semantic Segmentation.
CoRR, 2019

Adversarial Policy Gradient for Deep Learning Image Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images.
CoRR, 2018

Microaneurysm detection using fully convolutional neural networks.
Comput. Methods Programs Biomed., 2018

Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Exudate segmentation using fully convolutional neural networks and inception modules.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Microaneurysm detection using deep learning and interleaved freezing.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

A Deep Learning Approach to Anomaly Detection in Nuclear Reactors.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Exudates Segmentation using Fully Convolutional Neural Network and Auxiliary Codebook.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

DISCERN: Generative Framework for Vessel Segmentation using Convolutional Neural Network and Visual Codebook.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

An adaptable deep learning system for optical character verification in retail food packaging.
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017
Learning deep similarity in fundus photography.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

A fluid-dynamic based approach to reconnect the retinal vessels in fundus photography.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Automated detection of retinal landmarks for the identification of clinically relevant regions in fundus photography.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015
A new tool to connect blood vessels in fundus retinal images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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