A tool for the fast distortion evaluation of non linear amplifiers in broadband transmission systems. - Francesco Renna; Stefano Marsili (ISCAS, 2008)

A Gaussian Approximation of High-Order Distortion Spectrum in Broadband Amplifiers. - Francesco Renna; Stefano Marsili (IEEE Trans. Circuits Syst. II Express Briefs, 2008)

High SNR secrecy rates with OFDM signaling over fading channels. - Francesco Renna; Nicola Laurenti; H. Vincent Poor (PIMRC, 2010)

A prototype of a free-space QKD scheme based on the B92 protocol. - Matteo Canale; Davide Bacco; Simon Calimani; Francesco Renna; Nicola Laurenti; Giuseppe Vallone; Paolo Villoresi (ISABEL, 2011)

The jamming game in an OFDM setting. - Francesco Renna; Nicola Laurenti; Yih-Chun Hu (VALUETOOLS, 2011)

Achievable secrecy rates for wiretap OFDM with QAM constellations. - Francesco Renna; Nicola Laurenti; H. Vincent Poor (VALUETOOLS, 2011)

Physical-Layer Secrecy for OFDM Transmissions Over Fading Channels. - Francesco Renna; Nicola Laurenti; H. Vincent Poor (IEEE Trans. Inf. Forensics Secur., 2012)

Projections designs for compressive classification. - Hugo Reboredo; Francesco Renna; A. Robert Calderbank; Miguel R. D. Rodrigues (GlobalSIP, 2013)

Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view. - Francesco Renna; A. Robert Calderbank; Lawrence Carin; Miguel R. D. Rodrigues (GlobalSIP, 2013)

Compressive sensing for incoherent imaging systems with optical constraints. - Francesco Renna; Miguel R. D. Rodrigues; Minhua Chen; A. Robert Calderbank; Lawrence Carin (ICASSP, 2013)

Power allocation strategies for OFDM Gaussian wiretap channels with a friendly jammer. - Munnujahan Ara; Hugo Reboredo; Francesco Renna; Miguel R. D. Rodrigues (ICC, 2013)

Compressive classification. - Hugo Reboredo; Francesco Renna; A. Robert Calderbank; Miguel R. D. Rodrigues (ISIT, 2013)

Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond. - Francesco Renna; A. Robert Calderbank; Lawrence Carin; Miguel R. D. Rodrigues (CoRR, 2013)

Low-power Secret-key Agreement over OFDM - Francesco Renna; Nicola Laurenti; Stefano Tomasin; Marco Baldi; Nicola Maturo; Marco Bianchi 002; Franco Chiaraluce; Matthieu R. Bloch (CoRR, 2013)

Secrecy Transmission on Block Fading Channels: Theoretical Limits and Performance of Practical Codes - Marco Baldi; Marco Bianchi 002; Franco Chiaraluce; Nicola Laurenti; Stefano Tomasin; Francesco Renna (CoRR, 2013)

Semi-Blind Key-Agreement over MIMO Fading Channels. - Francesco Renna; Matthieu R. Bloch; Nicola Laurenti (IEEE Trans. Commun., 2013)

Resource allocation for secret transmissions on parallel Rayleigh channels. - Nicola Laurenti; Stefano Tomasin; Francesco Renna (ICC, 2014)

Achievable secrecy rates over MIMOME Gaussian channels with GMM signals in low-noise regime. - Francesco Renna; Nicola Laurenti; Stefano Tomasin (VITAE, 2014)

Compressive Classification of a Mixture of Gaussians: Analysis, Designs and Geometrical Interpretation. - Hugo Reboredo; Francesco Renna; A. Robert Calderbank; Miguel R. D. Rodrigues (CoRR, 2014)

Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information. - Francesco Renna; Liming Wang 004; Xin Yuan 002; Jianbo Yang; Galen Reeves; A. Robert Calderbank; Lawrence Carin; Miguel R. D. Rodrigues (CoRR, 2014)

Secrecy Transmission on Parallel Channels: Theoretical Limits and Performance of Practical Codes. - Marco Baldi; Franco Chiaraluce; Nicola Laurenti; Stefano Tomasin; Francesco Renna (IEEE Trans. Inf. Forensics Secur., 2014)

Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements. - Francesco Renna; A. Robert Calderbank; Lawrence Carin; Miguel R. D. Rodrigues (IEEE Trans. Signal Process., 2014)

Classification and reconstruction of compressed GMM signals with side information. - Francesco Renna; Liming Wang 004; Xin Yuan 002; Jianbo Yang; Galen Reeves; A. Robert Calderbank; Lawrence Carin; Miguel R. D. Rodrigues (ISIT, 2015)

Mismatch in the classification of linear subspaces: Upper bound to the probability of error. - Jure Sokolic; Francesco Renna; A. Robert Calderbank; Miguel R. D. Rodrigues (ISIT, 2015)

Signal reconstruction in the presence of side information: The impact of projection kernel design. - Meng-Yang Chen; Francesco Renna; Miguel R. D. Rodrigues (ICASSP, 2016)

A general framework for reconstruction and classification from compressive measurements with side information. - Liming Wang 004; Francesco Renna; Xin Yuan 002; Miguel R. D. Rodrigues; A. Robert Calderbank; Lawrence Carin (ICASSP, 2016)

Query Processing for the Internet-of-Things: Coupling of Device Energy Consumption and Cloud Infrastructure Billing. - Francesco Renna; Joseph Doyle; Vasileios Giotsas; Yiannis Andreopoulos (IoTDI, 2016)

On the design of linear projections for compressive sensing with side information. - Meng-Yang Chen; Francesco Renna; Miguel R. D. Rodrigues (ISIT, 2016)

Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information. - Francesco Renna; Liming Wang 004; Xin Yuan 002; Jianbo Yang; Galen Reeves; A. Robert Calderbank; Lawrence Carin; Miguel R. D. Rodrigues (IEEE Trans. Inf. Theory, 2016)

Media Query Processing for the Internet-of-Things: Coupling of Device Energy Consumption and Cloud Infrastructure Billing. - Francesco Renna; Joseph Doyle; Vasileios Giotsas; Yiannis Andreopoulos (IEEE Trans. Multim., 2016)

Bounds on the Number of Measurements for Reliable Compressive Classification. - Hugo Reboredo; Francesco Renna; A. Robert Calderbank; Miguel R. D. Rodrigues (IEEE Trans. Signal Process., 2016)

Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification. - Jure Sokolic; Francesco Renna; A. Robert Calderbank; Miguel R. D. Rodrigues (IEEE Trans. Signal Process., 2016)

A Data-Driven Feature Extraction Method for Enhanced Phonocardiogram Segmentation. - Francesco Renna; Jorge Oliveira 002; Miguel Tavares Coimbra (CinC, 2017)

On modifying the temporal modeling of HSMMs for pediatric heart sound segmentation. - Jorge Oliveira 002; Theofrastos Mantadelis; Francesco Renna; Pedro Gomes; Miguel Tavares Coimbra (SiPS, 2017)

Convolutional Neural Networks for Heart Sound Segmentation. - Francesco Renna; Jorge Oliveira 002; Miguel T. Coimbra (EUSIPCO, 2018)

Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing. - Zahra Sabetsarvestani; Francesco Renna; Franz J. Király; Miguel R. D. Rodrigues (GlobalSIP, 2018)

Characterizing Parkinson's Disease from Speech Samples Using Deep Structured Learning. - Lígia Sousa; Diogo Braga; Ana Madureira; Luís Pinto Coelho; Francesco Renna (SoCPaR, 2018)

Compressive Sensing With Side Information: How to Optimally Capture This Extra Information for GMM Signals? - Meng-Yang Chen; Francesco Renna; Miguel R. D. Rodrigues (IEEE Trans. Signal Process., 2018)

Source Separation of the Second Heart Sound Using Gaussian Mixture Models. - Francesco Renna; Miguel T. Coimbra (CinC, 2019)

Using Soft Attention Mechanisms to Classify Heart Sounds. - Jorge Oliveira 002; Diogo Marcelo Nogueira; Cléber Ramos; Francesco Renna; Carlos Abreu Ferreira; Miguel T. Coimbra (EMBC, 2019)

Assessment of Sound Features for Needle Perforation Event Detection. - Francesco Renna; Alfredo Illanes; Jorge Oliveira 002; Nazila Esmaeili; Michael Friebe; Miguel T. Coimbra (EMBC, 2019)

On instabilities of deep learning in image reconstruction - Does AI come at a cost? - Vegard Antun; Francesco Renna; Clarice Poon; Ben Adcock; Anders C. Hansen (CoRR, 2019)

A Subject-Driven Unsupervised Hidden Semi-Markov Model and Gaussian Mixture Model for Heart Sound Segmentation. - Jorge Oliveira 002; Francesco Renna; Miguel T. Coimbra (IEEE J. Sel. Top. Signal Process., 2019)

Adaptive Sojourn Time HSMM for Heart Sound Segmentation. - Jorge Oliveira 002; Francesco Renna; Theofrastos Mantadelis; Miguel T. Coimbra (IEEE J. Biomed. Health Informatics, 2019)

Deep Convolutional Neural Networks for Heart Sound Segmentation. - Francesco Renna; Jorge Oliveira 002; Miguel T. Coimbra (IEEE J. Biomed. Health Informatics, 2019)

Reconstruction of Optical Vector-Fields With Applications in Endoscopic Imaging. - Milana Gataric; George S. D. Gordon; Francesco Renna; Alberto Gil C. P. Ramos; Maria P. Alcolea; Sarah E. Bohndiek (IEEE Trans. Medical Imaging, 2019)

Deep Convolutional Neural Network Ensembles For Multi-Classification of Skin Lesions From Dermoscopic and Clinical Images. - José Reisinho; Miguel Tavares Coimbra; Francesco Renna (EMBC, 2020)

Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning. - Majid Zamani 002; Jure Sokolic; Dai Jiang; Francesco Renna; Miguel R. D. Rodrigues; Andreas Demosthenous (IEEE Trans. Biomed. Circuits Syst., 2020)

Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation. - Zahra Sabetsarvestani; Francesco Renna; Franz J. Király; Miguel R. D. Rodrigues (IEEE Trans. Signal Process., 2020)

Joint Training of Hidden Markov Model and Neural Network for Heart Sound Segmentation. - Francesco Renna; Miguel L. Martins; Miguel T. Coimbra (CinC, 2021)

Source Separation of the Second Heart Sound via Alternating Optimization. - Francesco Renna; Mark D. Plumbley; Miguel T. Coimbra (CinC, 2021)

Do we really need a segmentation step in heart sound classification algorithms? - Jorge Oliveira 002; Diogo Marcelo Nogueira; Francesco Renna; Carlos Abreu Ferreira; Alípio M. Jorge; Miguel Tavares Coimbra (EMBC, 2021)

Explainable Deep Learning for Non-Invasive Detection of Pulmonary Artery Hypertension from Heart Sounds. - Alex Gaudio; Miguel T. Coimbra; Aurélio Campilho; Asim Smailagic; Samuel E. Schmidt; Francesco Renna (CinC, 2022)

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. - Matthew A. Reyna; Yashar Kiarashi; Andoni Elola; Jorge Oliveira 002; Francesco Renna; Annie Gu; Erick Andres Perez-Alday; Nadi Sadr; Ashish Sharma 001; Sandra da Silva Mattos; Miguel T. Coimbra; Reza Sameni; et al. (CinC, 2022)

Analysis of classification tradeoff in deep learning for gastric cancer detection. - Gabriel Lima; Miguel T. Coimbra; Mário Dinis-Ribeiro; Diogo Libânio; Francesco Renna (EMBC, 2022)

Supervised and semi-supervised training of deep convolutional neural networks for gastric landmark detection. - Inês Lopes; Augusto Silva; Miguel T. Coimbra; Mário Dinis-Ribeiro; Diogo Libânio; Francesco Renna (EMBC, 2022)

A Generalization Study of Automatic Pericardial Segmentation in Computed Tomography Images. - Rubén Baeza; Carolina Santos; Fábio Nunes; Jennifer Mancio; Ricardo Fontes-Carvalho; Miguel T. Coimbra; Francesco Renna; João Pedrosa (MobiHealth, 2022)

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. - Jorge Oliveira 002; Francesco Renna; Paulo Dias Costa; Diogo Marcelo Nogueira; Cristina Oliveira; Carlos Abreu Ferreira; Alípio Mário Jorge; Sandra da Silva Mattos; Thamine Hatem; Thiago Tavares; Andoni Elola; Ali Bahrami Rad; et al. (IEEE J. Biomed. Health Informatics, 2022)

Fractal Bilinear Deep Neural Network Models for Gastric Intestinal Metaplasia Detection. - Maria Pedroso; Miguel L. Martins; Diogo Libânio; Mário Dinis-Ribeiro; Miguel T. Coimbra; Francesco Renna (BHI, 2023)

Cross-Domain Detection of Pulmonary Hypertension in Human and Porcine Heart Sounds. - Alex Gaudio; Noemi Giordano; Miguel Tavares Coimbra; Benedict Kjaergaard; Samuel E. Schmidt; Francesco Renna (CinC, 2023)

Automatic Contrast Generation from Contrastless Computed Tomography. - Rúben Domingues; Fábio Nunes; Jennifer Mancio; Ricardo Fontes-Carvalho; Miguel Tavares Coimbra; João Pedrosa; Francesco Renna (EMBC, 2023)

Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images. - Miguel L. Martins; Maria Pedroso; Diogo Libânio; Mário Dinis-Ribeiro; Miguel T. Coimbra; Francesco Renna (EMBC, 2023)

On the Impact of Synchronous Electrocardiogram Signals for Heart Sounds Segmentation. - Aníbal Silva; Rafael Teixeira; Ricardo Fontes-Carvalho; Miguel T. Coimbra; Francesco Renna (EMBC, 2023)

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram. - Andoni Elola; Elisabete Aramendi; Jorge Oliveira 002; Francesco Renna; Miguel T. Coimbra; Matthew A. Reyna; Reza Sameni; Gari D. Clifford; Ali Bahrami Rad (IEEE J. Biomed. Health Informatics, 2023)

Markov-Based Neural Networks for Heart Sound Segmentation: Using Domain Knowledge in a Principled Way. - Miguel L. Martins; Miguel T. Coimbra; Francesco Renna (IEEE J. Biomed. Health Informatics, 2023)

Image Captioning for Coronary Artery Disease Diagnosis. - Bruno Magalhães; João Pedrosa; Francesco Renna; Hugo Paredes; Vítor Filipe (BIBM, 2024)

On the Impact of Transfer Learning for Multimodal Heart Sound and Electrocardiogram Classification. - Hélder Vieira; Ana C. Oliveira; André Lobo; Ricardo Fontes-Carvalho; Miguel T. Coimbra; Francesco Renna (BIBM, 2024)

Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning. - Inês Lopes; Maria Vakalopoulou; Enzo Ferrante; Diogo Libânio; Mário Dinis-Ribeiro; Miguel Tavares Coimbra; Francesco Renna (EMBC, 2024)

Explainable Multimodal Deep Learning for Heart Sounds and Electrocardiogram Classification. - Bruno Oliveira; André Lobo; Cátia Isabel Andrade Botelho Costa; Ricardo Fontes-Carvalho; Miguel T. Coimbra; Francesco Renna (EMBC, 2024)

Singularity Strength Re-Calibration of Fully Convolutional Neural Networks for Biomedical Image Segmentation. - Miguel L. Martins; Miguel T. Coimbra; Francesco Renna (EUSIPCO, 2024)

Diffusion Model for Generating Synthetic Contrast Enhanced CT from Non-Enhanced Heart Axial CT Images. - Victor Rogério Sousa Ferreira; Anselmo Cardoso de Paiva; Aristófanes Corrêa Silva; João Dallyson Sousa de Almeida; Geraldo Braz Júnior; Francesco Renna (ICEIS (1), 2024)

Separation of the Aortic and Pulmonary Components of the Second Heart Sound via Alternating Optimization. - Francesco Renna; Alex Gaudio; Sandra da Silva Mattos; Mark D. Plumbley; Miguel Tavares Coimbra (IEEE Access, 2024)

Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation. - Luís Almeida; Inês Dutra; Francesco Renna (CoRR, 2024)

Segmentation of coronary calcifications with a domain knowledge-based lightweight 3D convolutional neural network. - Rui Santos; Rui Castro; Rubén Baeza; Fábio Nunes; Vítor Manuel Filipe; Francesco Renna; Hugo Paredes; Ricardo Fontes-Carvalho; João Pedrosa (Comput. Biol. Medicine, 2025)