Scene categorization using bag of Textons on spatial hierarchy. - Sebastiano Battiato; Giovanni Maria Farinella; Giovanni Gallo; Daniele Ravì (ICIP, 2008)

JBIG for Printer Pipelines: A Compression Test. - Daniele Ravì; Tony Meccio; Giuseppe Messina; Mirko Guarnera (CCIW, 2009)

Spatial Hierarchy of Textons Distributions for Scene Classification. - Sebastiano Battiato; Giovanni Maria Farinella; Giovanni Gallo; Daniele Ravì (MMM, 2009)

Red-eyes removal through cluster based Linear Discriminant Analysis. - Sebastiano Battiato; Giovanni Maria Farinella; Mirko Guarnera; Giuseppe Messina; Daniele Ravì (ICIP, 2010)

Boosting Gray Codes for Red Eyes Removal. - Sebastiano Battiato; Giovanni Maria Farinella; Mirko Guarnera; Giuseppe Messina; Daniele Ravì (ICPR, 2010)

Bags of phrases with codebooks alignment for near duplicate image detection. - Sebastiano Battiato; Giovanni Maria Farinella; Giuseppe Claudio Guarnera; Tony Meccio; Giovanni Puglisi; Daniele Ravì; Rosetta Rizzo (MiFor@MM, 2010)

Red-Eyes Removal through Cluster-Based Boosting on Gray Codes. - Sebastiano Battiato; Giovanni Maria Farinella; Mirko Guarnera; Giuseppe Messina; Daniele Ravì (EURASIP J. Image Video Process., 2010)

Exploiting Textons Distributions on Spatial Hierarchy for Scene Classification. - Sebastiano Battiato; Giovanni Maria Farinella; Giovanni Gallo; Daniele Ravì (EURASIP J. Image Video Process., 2010)

On the performances of computer vision algorithms on mobile platforms. - Sebastiano Battiato; Giovanni Maria Farinella; Enrico Messina; Giovanni Puglisi; Daniele Ravì; Alessandro Capra; Valeria Tomaselli (Digital Photography, 2012)

Instant Scene Recognition on Mobile Platform. - Sebastiano Battiato; Giovanni Maria Farinella; Mirko Guarnera; Daniele Ravì; Valeria Tomaselli (ECCV Workshops (3), 2012)

Content-aware image resizing with seam selection based on Gradient Vector Flow. - Sebastiano Battiato; Giovanni Maria Farinella; Giovanni Puglisi; Daniele Ravì (ICIP, 2012)

Aligning codebooks for near duplicate image detection. - Sebastiano Battiato; Giovanni Maria Farinella; Giovanni Puglisi; Daniele Ravì (Multim. Tools Appl., 2014)

Saliency-Based Selection of Gradient Vector Flow Paths for Content Aware Image Resizing. - Sebastiano Battiato; Giovanni Maria Farinella; Giovanni Puglisi; Daniele Ravì (IEEE Trans. Image Process., 2014)

Real-time food intake classification and energy expenditure estimation on a mobile device. - Daniele Ravì; Benny Lo; Guang-Zhong Yang (BSN, 2015)

Representing scenes for real-time context classification on mobile devices. - Giovanni Maria Farinella; Daniele Ravì; Valeria Tomaselli; Mirko Guarnera; Sebastiano Battiato (Pattern Recognit., 2015)

Deep learning for human activity recognition: A resource efficient implementation on low-power devices. - Daniele Ravì; Charence Wong; Benny Lo; Guang-Zhong Yang (BSN, 2016)

Semantic segmentation of images exploiting DCT based features and random forest. - Daniele Ravì; M. Bober; Giovanni Maria Farinella; Mirko Guarnera; Sebastiano Battiato (Pattern Recognit., 2016)

A personalized air quality sensing system - a preliminary study on assessing the air quality of London underground stations. - Ruizhe Zhang 008; Daniele Ravì; Guang-Zhong Yang; Benny P. L. Lo (BSN, 2017)

Deep Learning for Health Informatics. - Daniele Ravì; Charence Wong; Fani Deligianni; Melissa Berthelot; Javier Andreu-Perez; Benny Lo; Guang-Zhong Yang (IEEE J. Biomed. Health Informatics, 2017)

A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices. - Daniele Ravì; Charence Wong; Benny Lo; Guang-Zhong Yang (IEEE J. Biomed. Health Informatics, 2017)

Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging. - Daniele Ravì; Himar Fabelo; Gustavo Marrero Callicó; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 2017)

Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction. - Daniele Ravì; Agnieszka Barbara Szczotka; Dzhoshkun Ismail Shakir; Stephen P. Pereira; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2018)

Artificial Intelligence and Robotics. - Javier Andreu-Perez; Fani Deligianni; Daniele Ravì; Guang-Zhong Yang (CoRR, 2018)

An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation. - Himar Fabelo; Samuel Ortega; Raquel Lazcano; Daniel Madroñal; Gustavo M. Callicó; Eduardo Juárez 001; Rubén Salvador; Diederik Bulters; Harry Bulstrode; Adam Szolna; Juan F. Piñeiro; Coralia Sosa; et al. (Sensors, 2018)

Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. - Daniele Ravì; Daniel C. Alexander; Neil P. Oxtoby (MICCAI (3), 2019)

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. - Himar Fabelo; Samuel Ortega; Adam Szolna; Diederik Bulters; Juan F. Piñeiro; Silvester Kabwama; Aruma J. O'Shanahan; Harry Bulstrode; Sara Bisshopp; Bangalore Ravi Kiran; Daniele Ravì; Raquel Lazcano; et al. (IEEE Access, 2019)

Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI. - Daniele Ravì; Stefano B. Blumberg; Daniel C. Alexander; Neil P. Oxtoby (CoRR, 2019)

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. - Daniele Ravì; Agnieszka Barbara Szczotka; Stephen P. Pereira; Tom Vercauteren (Medical Image Anal., 2019)

Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches. - Agnieszka Barbara Szczotka; Dzhoshkun Ismail Shakir; Daniele Ravì; Matthew J. Clarkson; Stephen P. Pereira; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2020)

Augmenting Dementia Cognitive Assessment With Instruction-Less Eye-Tracking Tests. - Kyriaki Mengoudi; Daniele Ravì; Keir X. X. Yong; Silvia Primativo; Ivanna M. Pavisic; Emilie Brotherhood; Kirsty Lu; Jonathan M. Schott; Sebastian J. Crutch; Daniel C. Alexander (IEEE J. Biomed. Health Informatics, 2020)

An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets. - Francesca Trenta; Sebastiano Battiato; Daniele Ravì (ICIAP (1), 2022)

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. - Daniele Ravì; Frederik Barkhof; Daniel C. Alexander; Geoffrey J. M. Parker; Arman Eshaghi (CoRR, 2022)

Deformably-Scaled Transposed Convolution. - Stefano B. Blumberg; Daniele Ravì; Mou-Cheng Xu; Matteo Figini; Iasonas Kokkinos; Daniel C. Alexander (CoRR, 2022)

Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia. - Daniele Ravì; Stefano B. Blumberg; Silvia Ingala; Frederik Barkhof; Daniel C. Alexander; Neil P. Oxtoby (Medical Image Anal., 2022)

Challenges and Opportunities of AI in Medical Imaging. - Daniele Ravì (IMPROVE, 2023)

DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. - Lemuel Puglisi; Arman Eshaghi; Geoff J. M. Parker; Frederik Barkhof; Daniel C. Alexander; Daniele Ravì (MIDL, 2023)

Industrial Machines Health Prognosis Using a Transformer-Based Framework. - David J. Poland; Lemuel Puglisi; Daniele Ravì (MetroXRAINE, 2024)

SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions. - Lemuel Puglisi; Alessia Rondinella; Linda De Meo; Francesco Guarnera; Sebastiano Battiato; Daniele Ravì (MetroXRAINE, 2024)

Efficient Atrophy Mapping: A Single-Step U-Net Approach for Rapid Brain Change Estimation. - Riccardo Raciti; Alessia Rondinella; Lemuel Puglisi; Francesco Guarnera; Daniele Ravì; Sebastiano Battiato (MetroXRAINE, 2024)

TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI. - Mattia Litrico; Francesco Guarnera; Mario Valerio Giuffrida; Daniele Ravì; Sebastiano Battiato (MICCAI (2), 2024)

Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge. - Lemuel Puglisi; Daniel C. Alexander; Daniele Ravì (MICCAI (2), 2024)

TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI. - Mattia Litrico; Francesco Guarnera; Valerio Giuffirda; Daniele Ravì; Sebastiano Battiato (CoRR, 2024)

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. - Daniele Ravì; Frederik Barkhof; Daniel C. Alexander; Lemuel Puglisi; Geoffrey J. M. Parker; Arman Eshaghi (Medical Image Anal., 2024)

Brain Latent Progression: Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion. - Lemuel Puglisi; Daniel C. Alexander; Daniele Ravì (Medical Image Anal., 2025)

Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation. - Andrea Moschetto; Lemuel Puglisi; Alec Sargood; Pierluigi Dell'Acqua; Francesco Guarnera; Sebastiano Battiato; Daniele Ravì (CoRR, 2025)