Joint denoising and lossless/lossy compression of SAR images. - Marco Grangetto; Enrico Magli; Gabriella Olmo (EUSIPCO, 2000)

Minimally non-linear integer wavelets for image coding. - Marco Grangetto; Enrico Magli; Gabriella Olmo (ICASSP, 2000)

Finite Precision Wavelets for Image Coding: Lossy and Lossless Compression Performance Evaluation. - Marco Grangetto; Enrico Magli; Gabriella Olmo (ICIP, 2000)

Unequal processing gain for JPEG2000 image transmission in a CDMA environment. - Marco Grangetto; Enrico Magli; Gabriella Olmo (ICECS, 2001)

Efficient common-core lossless and lossy image coder based on integer wavelets. - Marco Grangetto; Enrico Magli; Gabriella Olmo (Signal Process., 2001)

An edge and texture preserving algorithm for video error concealment. - Stefano Belfiore; Marco Grangetto; Enrico Magli; Gabriella Olmo (IEEE Workshop on Multimedia Signal Processing, 2002)

Robust and edge-preserving video error concealment by coarse-to-fine block replenishment. - Stefano Belfiore; L. Crisa; Marco Grangetto; Enrico Magli; Gabriella Olmo (ICASSP, 2002)

DSP performance comparison between lifting and filter banks for image coding. - Stefano Gnavi; Barbara Penna; Marco Grangetto; Enrico Magli; Gabriella Olmo (ICASSP, 2002)

Guaranteeing quality of service for image transmission by means of hybrid loss protection. - Marco Grangetto; Enrico Magli; Mauro Marzo; Gabriella Olmo (ICME (2), 2002)

Wavelet Kernels on a DSP: A Comparison between Lifting and Filter Banks for Image Coding. - Stefano Gnavi; Barbara Penna; Marco Grangetto; Enrico Magli; Gabriella Olmo (EURASIP J. Adv. Signal Process., 2002)

Optimization and implementation of the integer wavelet transform for image coding. - Marco Grangetto; Enrico Magli; Maurizio Martina; Gabriella Olmo (IEEE Trans. Image Process., 2002)

Spatio-temporal video error concealment with perceptually optimized mode selection. - Stefano Belfiore; Marco Grangetto; Enrico Magli; Gabriella Olmo (ICASSP (5), 2003)

Error correction by means of arithmetic codes: an application to resilient image transmission. - Marco Grangetto; Gabriella Olmo; Pamela C. Cosman (ICASSP (4), 2003)

Few decoders in the encoder: a low complexity encoding strategy for H.26L. - Gabriella Olmo; Cristiano Cucco; Marco Grangetto; Enrico Magli (ICASSP (3), 2003)

An error concealment algorithm for streaming video. - Stefano Belfiore; Marco Grangetto; Enrico Magli; Gabriella Olmo (ICIP (3), 2003)

Comparison of rate allocation strategies for H.264 video transmission over wireless lossy correlated networks. - Stefano Gnavi; Marco Grangetto; Enrico Magli; Gabriella Olmo (ICME, 2003)

Robust video transmission over error-prone channels via error correcting arithmetic codes. - Marco Grangetto; Enrico Magli; Gabriella Olmo (IEEE Commun. Lett., 2003)

Spatiotemporal error concealment with optimized mode selection and application to H.264. - Stefano Belfiore; Marco Grangetto; Enrico Magli; Gabriella Olmo (Signal Process. Image Commun., 2003)

Error sensitivity data structures and retransmission strategies for robust JPEG 2000 wireless imaging. - Marco Grangetto; Enrico Magli; Gabriella Olmo (IEEE Trans. Consumer Electron., 2003)

Retransmission strategies for optimized JPEG 2000 image transmission in wireless environment. - Marco Grangetto; Enrico Magli; Gabriella Olmo (EUSIPCO, 2004)

Joint source-channel iterative decoding of codes. - Marco Grangetto; Bartolo Scanavino; Gabriella Olmo (ICC, 2004)

Error resilient mq coder and map jpeg 2000 decoding. - Marco Grangetto; Enrico Magli; Gabriella Olmo (ICIP, 2004)

Multiple description coding with error correction capabilities: an application to motion jpeg 2000. - Tammam Tillo; Marco Grangetto; Gabriella Olmo (ICIP, 2004)

Reliable JPEG 2000 wireless imaging by means of error-correcting MQ coder. - Marco Grangetto; Enrico Magli; Gabriella Olmo (ICME, 2004)

Joint despeckling and edge detection of SAR images based on the Mumford-Shah functional. - Stefano Belfiore; Riccardo Scopigno; Marco Grangetto; Enrico Magli (IGARSS, 2004)

Selective encryption of JPEG 2000 images by means of randomized arithmetic coding. - Marco Grangetto; Alberto Grosso; Enrico Magli (MMSP, 2004)

A flexible error resilient scheme for JPEG 2000. - Tammam Tillo; Marco Grangetto; Gabriella Olmo (MMSP, 2004)

Ensuring quality of service for image transmission: hybrid loss protection. - Marco Grangetto; Enrico Magli; Gabriella Olmo (IEEE Trans. Image Process., 2004)

Improved low-complexity intraband lossless compression of hyperspectral images by means of Slepian-Wolf coding. - Antonello Nonnis; Marco Grangetto; Enrico Magli; Gabriella Olmo; Mauro Barni (ICIP (1), 2005)

Context-Based Distributed Wavelet Video Coding. - Marco Grangetto; Enrico Magli; Gabriella Olmo (MMSP, 2005)

Joint source/channel coding and MAP decoding of arithmetic codes. - Marco Grangetto; Pamela C. Cosman; Gabriella Olmo (IEEE Trans. Commun., 2005)

Fast code-rate optimization for robust image transmission over lossy packet networks. - Marco Grangetto; Enrico Magli; Gabriella Olmo (IEEE Trans. Commun., 2005)

Concealment of whole-frame losses for wireless low bit-rate video based on multiframe optical flow estimation. - Stefano Belfiore; Marco Grangetto; Enrico Magli; Gabriella Olmo (IEEE Trans. Multim., 2005)

Near-lossless distributed coding of hyperspectral images using a statistical model for probability estimation. - Marco Grangetto; Enrico Magli; Gabriella Olmo (EUSIPCO, 2006)

Conditional Access to H.264/AVC Video with Drift Control. - Enrico Magli; Marco Grangetto; Gabriella Olmo (ICME, 2006)

Scalable Image Retrieval from Distributed Images Database. - Tammam Tillo; Marco Grangetto; Gabriella Olmo (ICME, 2006)

Implementation and Performance Evaluation of LT and Raptor Codes for Multimedia Applications. - Pasquale Cataldi; Miquel Pedros Shatarski; Marco Grangetto; Enrico Magli (IIH-MSP, 2006)

Error correcting arithmetic coding for JPEG 2000: memory and performance analysis. - Simone Zezza; Marco Grangetto; Maurizio Martina; Fabrizio Vacca; Guido Masera (MobiMedia, 2006)

A syntax-preserving error resilience tool for JPEG 2000 based on error correcting arithmetic coding. - Marco Grangetto; Enrico Magli; Gabriella Olmo (IEEE Trans. Image Process., 2006)

Multimedia Selective Encryption by Means of Randomized Arithmetic Coding. - Marco Grangetto; Enrico Magli; Gabriella Olmo (IEEE Trans. Multim., 2006)

Conditional Access to H.264/AVC Video by Means of Redundant Slices. - Marco Grangetto; Enrico Magli; Gabriella Olmo (ICIP (6), 2007)

H.264 Multiple Description Coding Based on Redundant Picture Representation. - Tammam Tillo; Marco Grangetto; Gabriella Olmo (ICIP (4), 2007)

Sliding-Window Digital Fountain Codes for Streaming of Multimedia Contents. - Mattia C. O. Bogino; Pasquale Cataldi; Marco Grangetto; Enrico Magli; Gabriella Olmo (ISCAS, 2007)

Symmetric Distributed Arithmetic Coding of Correlated Sources. - Marco Grangetto; Enrico Magli; Gabriella Olmo (MMSP, 2007)

Distributed Arithmetic Coding for the Asymmetric Slepian-Wolf problem - Marco Grangetto; Enrico Magli; Gabriella Olmo (CoRR, 2007)

Distributed Source Coding Techniques for Lossless Compression of Hyperspectral Images. - Enrico Magli; Mauro Barni; Andrea Abrardo; Marco Grangetto (EURASIP J. Adv. Signal Process., 2007)

Joint Source, Channel Coding, and Secrecy. - Enrico Magli; Marco Grangetto; Gabriella Olmo (EURASIP J. Inf. Secur., 2007)

Distributed Arithmetic Coding. - Marco Grangetto; Enrico Magli; Gabriella Olmo (IEEE Commun. Lett., 2007)

On Modeling Mismatch Errors Induced by Different Quantizers. - Tammam Tillo; Marco Grangetto; Gabriella Olmo (IEEE Signal Process. Lett., 2007)

Iterative Decoding of Serially Concatenated Arithmetic and Channel Codes With JPEG 2000 Applications. - Marco Grangetto; Bartolo Scanavino; Gabriella Olmo; Sergio Benedetto (IEEE Trans. Image Process., 2007)

Multiple Description Image Coding Based on Lagrangian Rate Allocation. - Tammam Tillo; Marco Grangetto; Gabriella Olmo (IEEE Trans. Image Process., 2007)

Decoder-driven adaptive distributed arithmetic coding. - Marco Grangetto; Enrico Magli; Gabriella Olmo (ICIP, 2008)

Rate-compatible distributed arithmetic coding. - Marco Grangetto; Enrico Magli; Roberto Tron; Gabriella Olmo (IEEE Commun. Lett., 2008)

Redundant Slice Optimal Allocation for H.264 Multiple Description Coding. - Tammam Tillo; Marco Grangetto; Gabriella Olmo (IEEE Trans. Circuits Syst. Video Technol., 2008)

A technique for blood detection in wireless capsule endoscopy images. - Barbara Penna; Tammam Tillo; Marco Grangetto; Enrico Magli; Gabriella Olmo (EUSIPCO, 2009)

Rateless codes network coding for simple and efficient P2P video streaming. - Marco Grangetto; Rossano Gaeta; Matteo Sereno (ICME, 2009)

Seacast: A protocol for peer-to-peer video streaming supporting multiple description coding. - Simone Zezza; Enrico Magli; Gabriella Olmo; Marco Grangetto (ICME, 2009)

Analysis of PPLive through active and passive measurements. - Salvatore Spoto; Rossano Gaeta; Marco Grangetto; Matteo Sereno (IPDPS, 2009)

On the fly gaussian elimination for LT codes. - Valerio Bioglio; Marco Grangetto; Rossano Gaeta; Matteo Sereno (IEEE Commun. Lett., 2009)

Distributed arithmetic coding for the Slepian-Wolf problem. - Marco Grangetto; Enrico Magli; Gabriella Olmo (IEEE Trans. Signal Process., 2009)

Security applications of distributed arithmetic coding. - Marco Grangetto; Enrico Magli; Gabriella Olmo (EUSIPCO, 2010)

Distributed joint source-channel arithmetic coding. - Marco Grangetto; Enrico Magli; Gabriella Olmo (ICIP, 2010)

BitTorrent and fountain codes: friends or foes? - Salvatore Spoto; Rossano Gaeta; Marco Grangetto; Matteo Sereno (IPDPS Workshops, 2010)

Fountains vs Torrents: The P2P ToroVerde Protocol. - Andrea Magnetto; Salvatore Spoto; Rossano Gaeta; Marco Grangetto; Matteo Sereno (MASCOTS, 2010)

P2P streaming with lt codes: a prototype experimentation. - Andrea Magnetto; Rossano Gaeta; Marco Grangetto; Matteo Sereno (AVSTP2P@MM, 2010)

Local Access to Sparse and Large Global Information in P2P Networks: A Case for Compressive Sensing. - Rossano Gaeta; Marco Grangetto; Matteo Sereno (Peer-to-Peer Computing, 2010)

Sliding-Window Raptor Codes for Efficient Scalable Wireless Video Broadcasting With Unequal Loss Protection. - Pasquale Cataldi; Marco Grangetto; Tammam Tillo; Enrico Magli; Gabriella Olmo (IEEE Trans. Image Process., 2010)

TURINstream: A Totally pUsh, Robust, and effIcieNt P2P Video Streaming Architecture. - Andrea Magnetto; Rossano Gaeta; Marco Grangetto; Matteo Sereno (IEEE Trans. Multim., 2010)

Tile format: A novel frame compatible approach for 3D video broadcasting. - Giovanni Ballocca; Paolo D'Amato; Marco Grangetto; Maurizio Lucenteforte (ICME, 2011)

ENIGMA: Distributed Virtual Disks for Cloud Computing. - Matteo Zola; Valerio Bioglio; Cosimo Anglano; Rossano Gaeta; Marco Grangetto; Matteo Sereno (IPDPS Workshops, 2011)

An optimal partial decoding algorithm for rateless codes. - Valerio Bioglio; Marco Grangetto; Rossano Gaeta; Matteo Sereno (ISIT, 2011)

Local data gathering using opportunistic networking in a urban scenario. - Giuseppe Corrente; Rossano Gaeta; Marco Grangetto; Matteo Sereno (PE-WASUN, 2011)

A game theory framework for ISP streaming traffic management. - Valerio Bioglio; Rossano Gaeta; Marco Grangetto; Matteo Sereno; Salvatore Spoto (Perform. Evaluation, 2011)

Transparent encryption techniques for H.264/AVC and H.264/SVC compressed video. - Enrico Magli; Marco Grangetto; Gabriella Olmo (Signal Process., 2011)

A novel interpolation method for 3D view synthesis. - Vincenzo Paradiso; Maurizio Lucenteforte; Marco Grangetto (3DTV-Conference, 2012)

Band Codes: Controlled Complexity Network Coding for Peer-to-Peer Video Streaming. - Attilio Fiandrotti; Valerio Bioglio; Enrico Magli; Marco Grangetto; Rossano Gaeta (ICME, 2012)

SIEVE: A Distributed, Accurate, and Robust Technique to Identify Malicious Nodes in Data Dissemination on MANET. - Rossano Gaeta; Marco Grangetto; Riccardo Loti (ICPADS, 2012)

An adaptive hybrid CDN/P2P solution for Content Delivery Networks. - Francesco Bronzino; Rossano Gaeta; Marco Grangetto; Giovanni Pau 001 (VCIP, 2012)

An HTML5 player for a gstreamer based MPEG DASH client. - Emanuele Quacchio; G. Bruno; Marco Grangetto (VCIP, 2012)

Collaborative data retrieval using opportunistic networking. - Giuseppe Corrente; Rossano Gaeta; Marco Grangetto; Matteo Sereno (WONS, 2012)

A study of an hybrid CDN-P2P system over the PlanetLab network. - Enrico Baccaglini; Marco Grangetto; Emanuele Quacchio; Simone Zezza (Signal Process. Image Commun., 2012)

Depth image based rendering with inverse mapping. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (MMSP, 2013)

Edges shape enforcement for visual enhancement of depth image based rendering. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (MMSP, 2013)

Gait characterization using dynamic skeleton acquisition. - Elena Gianaria; Nello Balossino; Marco Grangetto; Maurizio Lucenteforte (MMSP, 2013)

A practical Random Network Coding scheme for data distribution on peer-to-peer networks using rateless codes. - Valerio Bioglio; Marco Grangetto; Rossano Gaeta; Matteo Sereno (Perform. Evaluation, 2013)

Identification of Malicious Nodes in Peer-to-Peer Streaming: A Belief Propagation-Based Technique. - Rossano Gaeta; Marco Grangetto (IEEE Trans. Parallel Distributed Syst., 2013)

Human Classification Using Gait Features. - Elena Gianaria; Marco Grangetto; Maurizio Lucenteforte; Nello Balossino (BIOMET, 2014)

A panoramic 3D video coding with directional depth aided inpainting. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (ICIP, 2014)

Edge enhancement of depth based rendered images. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (ICIP, 2014)

Automatic method for tumor segmentation from 3-points dynamic PET acquisitions. - Francesco Verdoja; Marco Grangetto; Christian Bracco; Teresio Varetto; Manuela Racca; Michele Stasi (ICIP, 2014)

Exploiting Rateless Codes and Belief Propagation to Infer Identity of Polluters in MANET. - Rossano Gaeta; Marco Grangetto; Riccardo Loti (IEEE Trans. Mob. Comput., 2014)

Band Codes for Energy-Efficient Network Coding With Application to P2P Mobile Streaming. - Attilio Fiandrotti; Valerio Bioglio; Marco Grangetto; Rossano Gaeta; Enrico Magli (IEEE Trans. Multim., 2014)

DIP: Distributed Identification of Polluters in P2P Live Streaming. - Rossano Gaeta; Marco Grangetto; Lorenzo Bovio (ACM Trans. Multim. Comput. Commun. Appl., 2014)

Rateless Codes and Random Walksfor P2P Resource Discovery in Grids. - Valerio Bioglio; Rossano Gaeta; Marco Grangetto; Matteo Sereno (IEEE Trans. Parallel Distributed Syst., 2014)

Blind depth quality assessment using histogram shape analysis. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (3DTV-Conference, 2015)

Device-to-Device Content Distribution in Cellular Networks: A User-Centric Collaborative Strategy. - Paolo Castagno; Rossano Gaeta; Marco Grangetto; Matteo Sereno (GLOBECOM, 2015)

Fast Superpixel-Based Hierarchical Approach to Image Segmentation. - Francesco Verdoja; Marco Grangetto (ICIAP (1), 2015)

Objective quality metric for 3D virtual views. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (ICIP, 2015)

Superpixel-driven graph transform for image compression. - Giulia Fracastoro; Francesco Verdoja; Marco Grangetto; Enrico Magli (ICIP, 2015)

Pollution-resilient peer-to-peer video streaming with Band Codes. - Attilio Fiandrotti; Rossano Gaeta; Marco Grangetto (ICME, 2015)

High capacity reversible data hiding and content protection for radiographic images. - Davide Cavagnino; Maurizio Lucenteforte; Marco Grangetto (Signal Process., 2015)

Panorama View With Spatiotemporal Occlusion Compensation for 3D Video Coding. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (IEEE Trans. Image Process., 2015)

Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding-Based Peer-to-Peer Live Streaming. - Attilio Fiandrotti; Rossano Gaeta; Marco Grangetto (IEEE Trans. Multim., 2015)

Exploiting Rateless Codes in Cloud Storage Systems. - Cosimo Anglano; Rossano Gaeta; Marco Grangetto (IEEE Trans. Parallel Distributed Syst., 2015)

Kinect-based gait analysis for automatic frailty syndrome assessment. - Elena Gianaria; Marco Grangetto; Mattia Roppolo; Anna Mulasso; Emanuela Rabaglietti (ICIP, 2016)

Global and local anomaly detectors for tumor segmentation in dynamic pet acquisitions. - Francesco Verdoja; Barbara Bonafè; Davide Cavagnino; Marco Grangetto; Christian Bracco; Teresio Varetto; Manuela Racca; Michele Stasi (ICIP, 2016)

Image de-fencing framework with hybrid inpainting algorithm. - Muhammad Shahid Farid; Arif Mahmood; Marco Grangetto (Signal Image Video Process., 2016)

Characterization of Band Codes for Pollution-Resilient Peer-to-Peer Video Streaming. - Attilio Fiandrotti; Rossano Gaeta; Marco Grangetto (IEEE Trans. Multim., 2016)

Semi-automatic Segmentation of Scattered and Distributed Objects. - Muhammad Shahid Farid; Maurizio Lucenteforte; Muhammad Hassan Khan; Marco Grangetto (CORES, 2017)

Efficient representation of segmentation contours using chain codes. - Francesco Verdoja; Marco Grangetto (ICASSP, 2017)

Directional graph weight prediction for image compression. - Francesco Verdoja; Marco Grangetto (ICASSP, 2017)

Kinect-Based Gait Analysis for People Recognition Over Time. - Elena Gianaria; Marco Grangetto; Nello Balossino (ICIAP (2), 2017)

Perceptual quality assessment of 3D synthesized images. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (ICME, 2017)

Securing Coding-Based Cloud Storage Against Pollution Attacks. - Cosimo Anglano; Rossano Gaeta; Marco Grangetto (IEEE Trans. Parallel Distributed Syst., 2017)

Detection and Tracking of Astral Microtubules in Fluorescence Microscopy Images. - Joshua Levine; Marco Grangetto; Marilena Varrecchia; Gabriella Olmo (ICIP, 2018)

Graph-based Image Anomaly Detection. - Francesco Verdoja; Marco Grangetto (CoRR, 2018)

Evaluating virtual image quality using the side-views information fusion and depth maps. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (Inf. Fusion, 2018)

DOST: a distributed object segmentation tool. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (Multim. Tools Appl., 2018)

Convolutional Neural Network for Intermediate View Enhancement in Multiview Streaming. - Li Yu 004; Tammam Tillo; Jimin Xiao; Marco Grangetto (IEEE Trans. Multim., 2018)

Post-synaptic Potential Regularization Has Potential. - Enzo Tartaglione; Daniele Perlo; Marco Grangetto (ICANN (2), 2019)

Take a Ramble into Solution Spaces for Classification Problems in Neural Networks. - Enzo Tartaglione; Marco Grangetto (ICIAP (1), 2019)

Estimation of Speed and Distance of Surrounding Vehicles from a Single Camera. - Mirko Zaffaroni; Marco Grangetto; Alessandro Farasin (ICIAP (1), 2019)

Accelerating Spectral Graph Analysis Through Wavefronts of Linear Algebra Operations. - Maurizio Drocco; Paolo Viviani 001; Iacopo Colonnelli; Marco Aldinucci; Marco Grangetto (PDP, 2019)

Virtual Hand Illusion: The Alien Finger Motion Experiment. - Agata Marta Soccini; Marco Grangetto; Tetsunari Inamura; Sotaro Shimada (VR, 2019)

Robust gait identification using Kinect dynamic skeleton data. - Elena Gianaria; Marco Grangetto (Multim. Tools Appl., 2019)

Securing Network Coding Architectures Against Pollution Attacks With Band Codes. - Attilio Fiandrotti; Rossano Gaeta; Marco Grangetto (IEEE Trans. Inf. Forensics Secur., 2019)

Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima. - Enzo Tartaglione; Andrea Bragagnolo; Marco Grangetto (ICANN (2), 2020)

Delving in the loss landscape to embed robust watermarks into neural networks. - Enzo Tartaglione; Marco Grangetto; Davide Cavagnino; Marco Botta (ICPR, 2020)

A non-discriminatory approach to ethical deep learning. - Enzo Tartaglione; Marco Grangetto (TrustCom, 2020)

Real-time Object Detection and Tracking in Mixed Reality using Microsoft HoloLens. - Alessandro Farasin; Francesco Peciarolo; Marco Grangetto; Elena Gianaria; Paolo Garza (VISIGRAPP (4: VISAPP), 2020)

Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data. - Enzo Tartaglione; Carlo Alberto Barbano; Claudio Berzovini; Marco Calandri; Marco Grangetto (CoRR, 2020)

Graph Laplacian for image anomaly detection. - Francesco Verdoja; Marco Grangetto (Mach. Vis. Appl., 2020)

No-reference quality metric for HEVC compression distortion estimation in depth maps. - Muhammad Shahid Farid; Maurizio Lucenteforte; Marco Grangetto (Signal Image Video Process., 2020)

EnD: Entangling and Disentangling Deep Representations for Bias Correction. - Enzo Tartaglione; Carlo Alberto Barbano; Marco Grangetto (CVPR, 2021)

Capsule Networks with Routing Annealing. - Riccardo Renzulli; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (ICANN (1), 2021)

Bridging the gap between debiasing and privacy for deep learning. - Carlo Alberto Barbano; Enzo Tartaglione; Marco Grangetto (ICCVW, 2021)

Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading. - Carlo Alberto Barbano; Daniele Perlo; Enzo Tartaglione; Attilio Fiandrotti; Luca Bertero; Paola Cassoni; Marco Grangetto (ICIP, 2021)

On the Role of Structured Pruning for Neural Network Compression. - Andrea Bragagnolo; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (ICIP, 2021)

Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images. - Daniele Perlo; Enzo Tartaglione; Paola Cassoni; Luca Bertero; Marco Grangetto (MICAD, 2021)

Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke. - Umberto A. Gava; Federico D'Agata; Enzo Tartaglione; Marco Grangetto; Francesca Bertolino; Ambra Santonocito; Edwin Bennink; Mauro Bergui (CoRR, 2021)

A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images. - Carlo Alberto Barbano; Enzo Tartaglione; Claudio Berzovini; Marco Calandri; Marco Grangetto (CoRR, 2021)

Dysplasia grading of colorectal polyps through CNN analysis of WSI. - Daniele Perlo; Enzo Tartaglione; Luca Bertero; Paola Cassoni; Marco Grangetto (CoRR, 2021)

HEMP: High-order entropy minimization for neural network compression. - Enzo Tartaglione; Stéphane Lathuilière; Attilio Fiandrotti; Marco Cagnazzo; Marco Grangetto (Neurocomputing, 2021)

On the robustness of three classes of rateless codes against pollution attacks in P2P networks. - Rossano Gaeta; Marco Grangetto (Peer-to-Peer Netw. Appl., 2021)

Malicious Node Identification in Coded Distributed Storage Systems under Pollution Attacks. - Rossano Gaeta; Marco Grangetto (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021)

UNITOPATHO. - Luca Bertero; Carlo Alberto Barbano; Daniele Perlo; Enzo Tartaglione; Paola Cassoni; Marco Grangetto; Attilio Fiandrotti; Alessandro Gambella; Luca Cavallo (IEEE DataPort, 2021)

UniToBrain Dataset. - Umberto A. Gava; Federico D'Agata; Edwin Bennink; Enzo Tartaglione; Daniele Perlo; Annamaria Vernone; Francesca Bertolino; Eleonora Ficiarà; Alessandro Cicerale; Fabrizio Pizzagalli; Caterina Guiot; Marco Grangetto; et al. (Zenodo, 2021)

UniToBrain Dataset. - Umberto A. Gava; Federico D'Agata; Edwin Bennink; Enzo Tartaglione; Annamaria Vernone; Francesca Bertolino; Eleonora Ficiarà; Alessandro Cicerale; Fabrizio Pizzagalli; Caterina Guiot; Marco Grangetto; Mauro Bergui (Zenodo, 2021)

UniToBrain Dataset. - Umberto A. Gava; Federico D'Agata; Edwin Bennink; Enzo Tartaglione; Annamaria Vernone; Francesca Bertolino; Eleonora Ficiarà; Alessandro Cicerale; Fabrizio Pizzagalli; Caterina Guiot; Marco Grangetto; Mauro Bergui (Zenodo, 2021)

UniToBrain Dataset. - Umberto A. Gava; Federico D'Agata; Edwin Bennink; Enzo Tartaglione; Annamaria Vernone; Francesca Bertolino; Eleonora Ficiarà; Alessandro Cicerale; Fabrizio Pizzagalli; Caterina Guiot; Marco Grangetto; Mauro Bergui (Zenodo, 2021)

UniToBrain Dataset. - Umberto A. Gava; Federico D'Agata; Edwin Bennink; Enzo Tartaglione; Annamaria Vernone; Francesca Bertolino; Eleonora Ficiarà; Alessandro Cicerale; Fabrizio Pizzagalli; Caterina Guiot; Marco Grangetto; Mauro Bergui (Zenodo, 2021)

UniTOBrain. - Umberto A. Gava; Federico D'Agata; Edwin Bennink; Enzo Tartaglione; Daniele Perlo; Annamaria Vernone; Francesca Bertolino; Eleonora Ficiarà; Alessandro Cicerale; Fabrizio Pizzagalli; Caterina Guiot; Marco Grangetto; et al. (IEEE DataPort, 2021)

UniToChest. - Daniele Perlo; Riccardo Renzulli; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano; Marco Grosso; Giorgio Limerutti; Marco Grangetto; Paolo Fonio (Zenodo, 2021)

The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures. - Marco Aldinucci; David Atienza; Federico Bolelli; Mónica Caballero; Iacopo Colonnelli; José Flich; Jon Ander Gómez; David González; Costantino Grana; Marco Grangetto; Simone Leo; Pedro López 001; et al. (Technologies and Applications for Big Data Value, 2022)

A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images. - Carlo Alberto Barbano; Enzo Tartaglione; Claudio Berzovini; Marco Calandri; Marco Grangetto (ICIAP (1), 2022)

UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans. - Hafiza Ayesha Hoor Chaudhry; Riccardo Renzulli; Daniele Perlo; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano; Marco Grosso; Giorgio Limerutti; Attilio Fiandrotti; Marco Grangetto; Paolo Fonio (ICIAP (1), 2022)

Deep Regression by Feature Regularization for COVID-19 Severity Prediction. - Davide Tricarico; Hafiza Ayesha Hoor Chaudhry; Attilio Fiandrotti; Marco Grangetto (ICIAP Workshops, 2022)

Towards Efficient Capsule Networks. - Riccardo Renzulli; Marco Grangetto (ICIP, 2022)

To update or not to update? Neurons at equilibrium in deep models. - Andrea Bragagnolo; Enzo Tartaglione; Marco Grangetto (NeurIPS, 2022)

REM: Routing Entropy Minimization for Capsule Networks. - Riccardo Renzulli; Enzo Tartaglione; Marco Grangetto (CoRR, 2022)

Disentangling private classes through regularization. - Enzo Tartaglione; Francesca Gennari; Marco Grangetto (CoRR, 2022)

LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks. - Enzo Tartaglione; Andrea Bragagnolo; Attilio Fiandrotti; Marco Grangetto (Neural Networks, 2022)

SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks. - Enzo Tartaglione; Andrea Bragagnolo; Francesco Odierna; Attilio Fiandrotti; Marco Grangetto (IEEE Trans. Neural Networks Learn. Syst., 2022)

Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets. - Gabriele Spadaro; Riccardo Renzulli; Andrea Bragagnolo; Jhony H. Giraldo; Attilio Fiandrotti; Marco Grangetto; Enzo Tartaglione (ICCV (Workshops), 2023)

A Differentiable Entropy Model for Learned Image Compression. - Alberto Presta; Attilio Fiandrotti; Enzo Tartaglione; Marco Grangetto (ICIAP (1), 2023)

Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble. - Francesco Di Sario; Riccardo Renzulli; Enzo Tartaglione; Marco Grangetto (ICIAP (2), 2023)

Unbiased Supervised Contrastive Learning. - Carlo Alberto Barbano; Benoit Dufumier; Enzo Tartaglione; Marco Grangetto; Pietro Gori (ICLR, 2023)

Contrastive Learning for Regression in Multi-Site Brain Age Prediction. - Carlo Alberto Barbano; Benoit Dufumier; Edouard Duchesnay; Marco Grangetto; Pietro Gori (ISBI, 2023)

Artificial intelligence methods for biomedical imaging and omics data. - Carlo Alberto Barbano; Marco Beccuti; Francesca Cordero; Desislav Nikolaev Ivanov; Nicola Licheri; Simone Pernice; Alberto Presta; Riccardo Renzulli; Marco Grangetto (Ital-IA, 2023)

Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. - Carlo Alberto Barbano; Edouard Duchesnay; Benoit Dufumier; Pietro Gori; Marco Grangetto (Ital-IA, 2023)

A round-trip journey in pruned artificial neural networks. - Andrea Bragagnolo; Enzo Tartaglione; Gianluca Dalmasso; Marco Grangetto (Ital-IA, 2023)

Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke. - Umberto A. Gava; Federico D'Agata; Enzo Tartaglione; Riccardo Renzulli; Marco Grangetto; Francesca Bertolino; Ambra Santonocito; Edwin Bennink; Giacomo Vaudano; Andrea Boghi; Mauro Bergui (Frontiers Neuroinformatics, 2023)

Disentangling private classes through regularization. - Enzo Tartaglione; Francesca Gennari; Victor Quétu; Marco Grangetto (Neurocomputing, 2023)

Domain Adaptation for Learned Image Compression with Supervised Adapters. - Alberto Presta; Gabriele Spadaro; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (DCC, 2024)

Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. - Francesco Di Sario; Riccardo Renzulli; Enzo Tartaglione; Marco Grangetto (ECCV (83), 2024)

AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data. - Mirko Zaffaroni; Federico Signoretta; Marco Grangetto; Attilio Fiandrotti (ECCV Workshops (7), 2024)

Gabic: Graph-Based Attention Block for Image Compression. - Gabriele Spadaro; Alberto Presta; Enzo Tartaglione; Jhony H. Giraldo; Marco Grangetto; Attilio Fiandrotti (ICIP, 2024)

AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation. - Carlo Alberto Barbano; Riccardo Renzulli; Marco Grosso; Domenico Basile; Marco Busso; Marco Grangetto (ISBI, 2024)

Multi-target Stain Normalization for Histology Slides. - Desislav Nikolaev Ivanov; Carlo Alberto Barbano; Marco Grangetto (MOVI@MICCAI, 2024)

ALICE: Adapt your Learnable Image Compression modEl for variable bitrates. - Gabriele Spadaro; Muhammad Salman Ali; Alberto Presta; Giommaria Pilo; Sung-Ho Bae; Jhony H. Giraldo; Attilio Fiandrotti; Marco Grangetto; Enzo Tartaglione (VCIP, 2024)

Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray. - Guglielmo Gallone; Francesco Iodice; Alberto Presta; Davide Tore; Ovidio De Filippo; Michele Visciano; Carlo Alberto Barbano; Alessandro Serafini; Paola Gorrini; Alessandro Bruno; Walter Grosso Marra; James Hughes; et al. (CoRR, 2024)

Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. - Cristiano Patrício; Carlo Alberto Barbano; Attilio Fiandrotti; Riccardo Renzulli; Marco Grangetto; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2024)

Anatomical Foundation Models for Brain MRIs. - Carlo Alberto Barbano; Matteo Brunello; Benoit Dufumier; Marco Grangetto (CoRR, 2024)

Knowledge Transfer Across Modalities with Natural Language Supervision. - Carlo Alberto Barbano; Luca Molinaro; Emanuele Aiello; Marco Grangetto (CoRR, 2024)

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Abdenour Hadid; Suman Chaudhary; Wanting Yang; Yan Qiang; Talha Anwar; Mihaela Elena Breaban; Chih-Chung Hsu; Shen-Chieh Tai; et al. (Sensors, 2024)

High capacity reversible data hiding in radiographic images with optimal bit allocation. - Davide Cavagnino; Alessandro Druetto; Marco Grangetto; Maurizio Lucenteforte (Multim. Tools Appl., 2024)

A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection. - Hafiza Ayesha Hoor Chaudhry; Muhammad Shahid Farid; Attilio Fiandrotti; Marco Grangetto (Neural Comput. Appl., 2024)

Efficient Progressive Image Compression with Variance-Aware Masking. - Alberto Presta; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto; Pamela C. Cosman (WACV, 2025)

WiGNet: Windowed Vision Graph Neural Network. - Gabriele Spadaro; Marco Grangetto; Attilio Fiandrotti; Enzo Tartaglione; Jhony H. Giraldo (WACV, 2025)

STanH: Parametric Quantization for Variable Rate Learned Image Compression. - Alberto Presta; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (IEEE Trans. Image Process., 2025)

GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression. - Francesco Di Sario; Riccardo Renzulli; Marco Grangetto; Akihiro Sugimoto; Enzo Tartaglione (CoRR, 2025)

Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates. - Gabriele Spadaro; Alberto Presta; Jhony H. Giraldo; Marco Grangetto; Wei Hu; Giuseppe Valenzise; Attilio Fiandrotti; Enzo Tartaglione (CoRR, 2025)

Unsupervised Learning of Unbiased Visual Representations. - Carlo Alberto Barbano; Enzo Tartaglione; Marco Grangetto (IEEE Trans. Artif. Intell., 2025)

When Does Pruning Benefit Vision Representations? - Enrico Cassano; Riccardo Renzulli; Andrea Bragagnolo; Marco Grangetto (CoRR, 2025)

Robust brain age estimation from structural MRI with contrastive learning. - Carlo Alberto Barbano; Benoit Dufumier; Edouard Duchesnay; Marco Grangetto; Pietro Gori (CoRR, 2025)

Neural Velocity for hyperparameter tuning. - Gianluca Dalmasso; Andrea Bragagnolo; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (CoRR, 2025)

Capsule networks do not need to model everything. - Riccardo Renzulli; Enzo Tartaglione; Marco Grangetto (Pattern Recognit., 2026)