Daniele Ravì

64 papers A* 1B 5C 4Journal 40Unranked 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis.
AAAI
Alec Sargood, Lemuel Puglisi, James H. Cole, Neil P. Oxtoby, Daniele Ravì, Daniel C. Alexander
2026 J jnl
Regional patch-based MRI brain age modeling with an interpretable cognitive reserve proxy.
Pattern Recognit. Lett.
Samuel Maddox, Lemuel Puglisi, Fatemeh Darabifard, Saber Sami, Daniele Ravì
2026 J jnl
Reinforcing the Weakest Links: Modernizing SIENA with Targeted Deep Learning Integration.
CoRR
Riccardo Raciti, Lemuel Puglisi, Francesco Guarnera, Daniele Ravì, Sebastiano Battiato
2026 J jnl
Temporally-aware diffusion model for brain progression modelling with bidirectional temporal regularisation.
Comput. Medical Imaging Graph.
Mattia Litrico, Francesco Guarnera, Mario Valerio Giuffrida, Daniele Ravì, Sebastiano Battiato
2025 J jnl
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis.
CoRR
Antonio Scardace, Lemuel Puglisi, Francesco Guarnera, Sebastiano Battiato, Daniele Ravì
2025 C conf
Analysis on Parameters Influencing Non-Immersive Virtual Reality-Based Tele-Rehabilitation in Parkinson's Disease: an Exploratory Study.
ISCC
Giovanni Lonia, Mirjam Bonanno, Rocco Salvatore Calabrò, Daniele Ravì, Maria Fazio, Massimo Villari, Antonio Celesti
2025 — conf
Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation.
ICIAP (Workshops 1)
Andrea Moschetto, Lemuel Puglisi, Alec Sargood, Pierluigi Dell'Acqua, Francesco Guarnera, Sebastiano Battiato, Daniele Ravì
2025 J jnl
Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation.
CoRR
Andrea Moschetto, Lemuel Puglisi, Alec Sargood, Pierluigi Dell'Acqua, Francesco Guarnera, Sebastiano Battiato, Daniele Ravì
2025 J jnl
Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion.
CoRR
Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì
2025 J jnl
Brain Latent Progression: Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion.
Medical Image Anal.
Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì
2025 J jnl
Temporally-Aware Diffusion Model for Brain Progression Modelling with Bidirectional Temporal Regularisation.
CoRR
Mattia Litrico, Francesco Guarnera, Mario Valerio Giuffrida, Daniele Ravì, Sebastiano Battiato
2024 J jnl
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.
Medical Image Anal.
Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Lemuel Puglisi, Geoffrey J. M. Parker, Arman Eshaghi
2024 — conf
Efficient Atrophy Mapping: A Single-Step U-Net Approach for Rapid Brain Change Estimation.
MetroXRAINE
Riccardo Raciti, Alessia Rondinella, Lemuel Puglisi, Francesco Guarnera, Daniele Ravì, Sebastiano Battiato
2024 — conf
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge.
MICCAI (2)
Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì
2024 J jnl
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge.
CoRR
Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì
2024 J jnl
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection.
CoRR
Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Piñeiro, Silvester Kabwama, Aruma J. O'Shanahan, Harry Bulstrode, Sara Bisshopp, B. Ravi Kiran, Daniele Ravì, Raquel Lazcano, Daniel Madroñal, Coralia Sosa, Carlos Espino Palma, Mariano Márquez, Maria De La Luz Plaza, Rafael Camacho, David Carrera, María Hernández, Gustavo M. Callicó, Jesús Morera, Bogdan Stanciulescu, Guang-Zhong Yang, Rubén Salvador, Eduardo Juárez, César Sanz, R. Sarmiento
2024 — conf
Industrial Machines Health Prognosis Using a Transformer-Based Framework.
MetroXRAINE
David J. Poland, Lemuel Puglisi, Daniele Ravì
2024 J jnl
Industrial Machines Health Prognosis using a Transformer-based Framework.
CoRR
David J. Poland, Lemuel Puglisi, Daniele Ravì
2024 J jnl
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations.
CoRR
Himar Fabelo, Samuel Ortega, Daniele Ravì, B. Ravi Kiran, Coralia Sosa, Diederik Bulters, Gustavo M. Callicó, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Silvester Kabwama, Daniel Madroñal, Raquel Lazcano, Aruma J. O'Shanahan, Sara Bisshopp, M. Hernandez, Abelardo Báez-Quevedo, Guang-Zhong Yang, Bogdan Stanciulescu, R. Salvador, E. Juarez, R. Sarmiento
2024 — conf
SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions.
MetroXRAINE
Lemuel Puglisi, Alessia Rondinella, Linda De Meo, Francesco Guarnera, Sebastiano Battiato, Daniele Ravì
2024 J jnl
SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions.
CoRR
Lemuel Puglisi, Alessia Rondinella, Linda De Meo, Francesco Guarnera, Sebastiano Battiato, Daniele Ravì
2024 — conf
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI.
MICCAI (2)
Mattia Litrico, Francesco Guarnera, Mario Valerio Giuffrida, Daniele Ravì, Sebastiano Battiato
2024 J jnl
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI.
CoRR
Mattia Litrico, Francesco Guarnera, Valerio Giuffirda, Daniele Ravì, Sebastiano Battiato
2023 — conf
Challenges and Opportunities of AI in Medical Imaging.
IMPROVE
Daniele Ravì
2023 — conf
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification.
MIDL
Lemuel Puglisi, Arman Eshaghi, Geoff J. M. Parker, Frederik Barkhof, Daniel C. Alexander, Daniele Ravì
2023 J jnl
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification.
CoRR
Lemuel Puglisi, Frederik Barkhof, Daniel C. Alexander, Geoffrey J. M. Parker, Arman Eshaghi, Daniele Ravì
2022 — conf
An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets.
ICIAP (1)
Francesca Trenta, Sebastiano Battiato, Daniele Ravì
2022 J jnl
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.
CoRR
Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Geoffrey J. M. Parker, Arman Eshaghi
2022 J jnl
Deformably-Scaled Transposed Convolution.
CoRR
Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander
2022 J jnl
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.
Medical Image Anal.
Daniele Ravì, Stefano B. Blumberg, Silvia Ingala, Frederik Barkhof, Daniel C. Alexander, Neil P. Oxtoby
2020 J jnl
Augmenting Dementia Cognitive Assessment With Instruction-Less Eye-Tracking Tests.
IEEE J. Biomed. Health Informatics
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
2020 J jnl
Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches.
Int. J. Comput. Assist. Radiol. Surg.
Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Daniele Ravì, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren
2019 J jnl
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.
CoRR
Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P. Pereira, Tom Vercauteren
2019 J jnl
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.
Medical Image Anal.
Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P. Pereira, Tom Vercauteren
2019 J jnl
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI.
CoRR
Daniele Ravì, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby
2019 — conf
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.
MICCAI (3)
Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby
2019 J jnl
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.
CoRR
Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby
2019 J jnl
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection.
IEEE Access
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, Daniel Madroñal, Coralia Sosa, Carlos Espino Palma, Mariano Márquez, Maria De La Luz Plaza, Rafael Camacho, David Carrera, María Hernández, Gustavo M. Callicó, Jesús Morera, Bogdan Stanciulescu, Guang-Zhong Yang, Rubén Salvador, Eduardo Juárez Martínez, César Sanz, Roberto Sarmiento
2019 J jnl
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches.
CoRR
Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Daniele Ravì, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren
2018 J jnl
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation.
Sensors
Himar Fabelo, Samuel Ortega, Raquel Lazcano, Daniel Madroñal, Gustavo M. Callicó, Eduardo Juárez, Rubén Salvador, Diederik Bulters, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Coralia Sosa, Aruma J. O'Shanahan, Sara Bisshopp, María Hernández, Jesús Morera, Daniele Ravì, B. Ravi Kiran, Aurelio Vega, Abelardo Báez-Quevedo, Guang-Zhong Yang, Bogdan Stanciulescu, Roberto Sarmiento
2018 J jnl
Artificial Intelligence and Robotics.
CoRR
Javier Andreu-Perez, Fani Deligianni, Daniele Ravì, Guang-Zhong Yang
2018 J jnl
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.
Int. J. Comput. Assist. Radiol. Surg.
Daniele Ravì, Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Stephen P. Pereira, Tom Vercauteren
2018 J jnl
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.
CoRR
Daniele Ravì, Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Stephen P. Pereira, Tom Vercauteren
2017 J jnl
A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices.
IEEE J. Biomed. Health Informatics
Daniele Ravì, Charence Wong, Benny Lo, Guang-Zhong Yang
2017 C conf
A personalized air quality sensing system - a preliminary study on assessing the air quality of London underground stations.
BSN
Ruizhe Zhang, Daniele Ravì, Guang-Zhong Yang, Benny P. L. Lo
2017 J jnl
Deep Learning for Health Informatics.
IEEE J. Biomed. Health Informatics
Daniele Ravì, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu-Perez, Benny Lo, Guang-Zhong Yang
2017 J jnl
Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging.
IEEE Trans. Medical Imaging
Daniele Ravì, Himar Fabelo, Gustavo Marrero Callicó, Guang-Zhong Yang
2016 C conf
Deep learning for human activity recognition: A resource efficient implementation on low-power devices.
BSN
Daniele Ravì, Charence Wong, Benny Lo, Guang-Zhong Yang
2016 J jnl
Semantic segmentation of images exploiting DCT based features and random forest.
Pattern Recognit.
Daniele Ravì, M. Bober, Giovanni Maria Farinella, Mirko Guarnera, Sebastiano Battiato
2015 C conf
Real-time food intake classification and energy expenditure estimation on a mobile device.
BSN
Daniele Ravì, Benny Lo, Guang-Zhong Yang
2015 J jnl
Representing scenes for real-time context classification on mobile devices.
Pattern Recognit.
Giovanni Maria Farinella, Daniele Ravì, Valeria Tomaselli, Mirko Guarnera, Sebastiano Battiato
2014 J jnl
Aligning codebooks for near duplicate image detection.
Multim. Tools Appl.
Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Puglisi, Daniele Ravì
2014 J jnl
Saliency-Based Selection of Gradient Vector Flow Paths for Content Aware Image Resizing.
IEEE Trans. Image Process.
Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Puglisi, Daniele Ravì
2012 B conf
Content-aware image resizing with seam selection based on Gradient Vector Flow.
ICIP
Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Puglisi, Daniele Ravì
2012 — conf
Instant Scene Recognition on Mobile Platform.
ECCV Workshops (3)
Sebastiano Battiato, Giovanni Maria Farinella, Mirko Guarnera, Daniele Ravì, Valeria Tomaselli
2012 — conf
On the performances of computer vision algorithms on mobile platforms.
Digital Photography
Sebastiano Battiato, Giovanni Maria Farinella, Enrico Messina, Giovanni Puglisi, Daniele Ravì, Alessandro Capra, Valeria Tomaselli
2010 — conf
Bags of phrases with codebooks alignment for near duplicate image detection.
MiFor@MM
Sebastiano Battiato, Giovanni Maria Farinella, Giuseppe Claudio Guarnera, Tony Meccio, Giovanni Puglisi, Daniele Ravì, Rosetta Rizzo
2010 B conf
Boosting Gray Codes for Red Eyes Removal.
ICPR
Sebastiano Battiato, Giovanni Maria Farinella, Mirko Guarnera, Giuseppe Messina, Daniele Ravì
2010 J jnl
Exploiting Textons Distributions on Spatial Hierarchy for Scene Classification.
EURASIP J. Image Video Process.
Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Gallo, Daniele Ravì
2010 J jnl
Red-Eyes Removal through Cluster-Based Boosting on Gray Codes.
EURASIP J. Image Video Process.
Sebastiano Battiato, Giovanni Maria Farinella, Mirko Guarnera, Giuseppe Messina, Daniele Ravì
2010 B conf
Red-eyes removal through cluster based Linear Discriminant Analysis.
ICIP
Sebastiano Battiato, Giovanni Maria Farinella, Mirko Guarnera, Giuseppe Messina, Daniele Ravì
2009 — conf
JBIG for Printer Pipelines: A Compression Test.
CCIW
Daniele Ravì, Tony Meccio, Giuseppe Messina, Mirko Guarnera
2009 B conf
Spatial Hierarchy of Textons Distributions for Scene Classification.
MMM
Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Gallo, Daniele Ravì
2008 B conf
Scene categorization using bag of Textons on spatial hierarchy.
ICIP
Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Gallo, Daniele Ravì