Francesco Renna

Orcid: 0000-0002-8243-8350

According to our database1, Francesco Renna authored at least 69 papers between 2008 and 2024.

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Bibliography

2024
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation.
CoRR, 2024

Separation of the Aortic and Pulmonary Components of the Second Heart Sound via Alternating Optimization.
IEEE Access, 2024

Diffusion Model for Generating Synthetic Contrast Enhanced CT from Non-Enhanced Heart Axial CT Images.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

Singularity Strength Re-Calibration of Fully Convolutional Neural Networks for Biomedical Image Segmentation.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Markov-Based Neural Networks for Heart Sound Segmentation: Using Domain Knowledge in a Principled Way.
IEEE J. Biomed. Health Informatics, November, 2023

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram.
IEEE J. Biomed. Health Informatics, August, 2023

On the Impact of Synchronous Electrocardiogram Signals for Heart Sounds Segmentation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Automatic Contrast Generation from Contrastless Computed Tomography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Cross-Domain Detection of Pulmonary Hypertension in Human and Porcine Heart Sounds.
Proceedings of the Computing in Cardiology, 2023

Fractal Bilinear Deep Neural Network Models for Gastric Intestinal Metaplasia Detection.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification.
IEEE J. Biomed. Health Informatics, 2022

A Generalization Study of Automatic Pericardial Segmentation in Computed Tomography Images.
Proceedings of the Wireless Mobile Communication and Healthcare, 2022

Supervised and semi-supervised training of deep convolutional neural networks for gastric landmark detection.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Analysis of classification tradeoff in deep learning for gastric cancer detection.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.
Proceedings of the Computing in Cardiology, 2022

Explainable Deep Learning for Non-Invasive Detection of Pulmonary Artery Hypertension from Heart Sounds.
Proceedings of the Computing in Cardiology, 2022

2021
Do we really need a segmentation step in heart sound classification algorithms?
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Source Separation of the Second Heart Sound via Alternating Optimization.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Joint Training of Hidden Markov Model and Neural Network for Heart Sound Segmentation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation.
IEEE Trans. Signal Process., 2020

Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning.
IEEE Trans. Biomed. Circuits Syst., 2020

Deep Convolutional Neural Network Ensembles For Multi-Classification of Skin Lesions From Dermoscopic and Clinical Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Reconstruction of Optical Vector-Fields With Applications in Endoscopic Imaging.
IEEE Trans. Medical Imaging, 2019

Deep Convolutional Neural Networks for Heart Sound Segmentation.
IEEE J. Biomed. Health Informatics, 2019

Adaptive Sojourn Time HSMM for Heart Sound Segmentation.
IEEE J. Biomed. Health Informatics, 2019

A Subject-Driven Unsupervised Hidden Semi-Markov Model and Gaussian Mixture Model for Heart Sound Segmentation.
IEEE J. Sel. Top. Signal Process., 2019

On instabilities of deep learning in image reconstruction - Does AI come at a cost?
CoRR, 2019

Assessment of Sound Features for Needle Perforation Event Detection.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Using Soft Attention Mechanisms to Classify Heart Sounds.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Source Separation of the Second Heart Sound Using Gaussian Mixture Models.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Compressive Sensing With Side Information: How to Optimally Capture This Extra Information for GMM Signals?
IEEE Trans. Signal Process., 2018

Characterizing Parkinson's Disease from Speech Samples Using Deep Structured Learning.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Convolutional Neural Networks for Heart Sound Segmentation.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
On modifying the temporal modeling of HSMMs for pediatric heart sound segmentation.
Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 2017

A Data-Driven Feature Extraction Method for Enhanced Phonocardiogram Segmentation.
Proceedings of the Computing in Cardiology, 2017

2016
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification.
IEEE Trans. Signal Process., 2016

Bounds on the Number of Measurements for Reliable Compressive Classification.
IEEE Trans. Signal Process., 2016

Media Query Processing for the Internet-of-Things: Coupling of Device Energy Consumption and Cloud Infrastructure Billing.
IEEE Trans. Multim., 2016

Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information.
IEEE Trans. Inf. Theory, 2016

On the design of linear projections for compressive sensing with side information.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Query Processing for the Internet-of-Things: Coupling of Device Energy Consumption and Cloud Infrastructure Billing.
Proceedings of the First IEEE International Conference on Internet-of-Things Design and Implementation, 2016

A general framework for reconstruction and classification from compressive measurements with side information.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Signal reconstruction in the presence of side information: The impact of projection kernel design.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Mismatch in the classification of linear subspaces: Upper bound to the probability of error.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Classification and reconstruction of compressed GMM signals with side information.
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements.
IEEE Trans. Signal Process., 2014

Secrecy Transmission on Parallel Channels: Theoretical Limits and Performance of Practical Codes.
IEEE Trans. Inf. Forensics Secur., 2014

Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information.
CoRR, 2014

Compressive Classification of a Mixture of Gaussians: Analysis, Designs and Geometrical Interpretation.
CoRR, 2014

Achievable secrecy rates over MIMOME Gaussian channels with GMM signals in low-noise regime.
Proceedings of the 4th International Conference on Wireless Communications, 2014

Resource allocation for secret transmissions on parallel Rayleigh channels.
Proceedings of the IEEE International Conference on Communications, 2014

2013
Semi-Blind Key-Agreement over MIMO Fading Channels.
IEEE Trans. Commun., 2013

Secrecy Transmission on Block Fading Channels: Theoretical Limits and Performance of Practical Codes
CoRR, 2013

Low-power Secret-key Agreement over OFDM
CoRR, 2013

Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond.
CoRR, 2013

Compressive classification.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Power allocation strategies for OFDM Gaussian wiretap channels with a friendly jammer.
Proceedings of IEEE International Conference on Communications, 2013

Compressive sensing for incoherent imaging systems with optical constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Projections designs for compressive classification.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Physical-Layer Secrecy for OFDM Transmissions Over Fading Channels.
IEEE Trans. Inf. Forensics Secur., 2012

2011
Achievable secrecy rates for wiretap OFDM with QAM constellations.
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011

The jamming game in an OFDM setting.
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011

A prototype of a free-space QKD scheme based on the B92 protocol.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

2010
High SNR secrecy rates with OFDM signaling over fading channels.
Proceedings of the IEEE 21st International Symposium on Personal, 2010

2008
A Gaussian Approximation of High-Order Distortion Spectrum in Broadband Amplifiers.
IEEE Trans. Circuits Syst. II Express Briefs, 2008

A tool for the fast distortion evaluation of non linear amplifiers in broadband transmission systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008


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