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Daniele Ravì

cs.CVcs.AIeess.IVcs.LGBrainMagnetic Resonance ImagingAdversarial trainingMachine LearningBrain MRIDeep learning

On Valency

published · living versions
W_abh7jzaq·v1 · currentpublished
Multimodal-Conditioned Latent Diffusion Models for Spatiotemporal Brain MRI Forecasting
with Antonio Scardace, Silvia Ingala, Sebastiano Battiato
1 version

Preprints & journals

36 papers in the corpus · 2014–2026
Multimodal-Conditioned Latent Diffusion Models for Spatiotemporal Brain MRI Forecasting2610.25481v2 · Antonio Scardace, Silvia Ingala, Sebastiano Battiato et al.2026 · 0 citationsarXivon Valency
Auditing Patient Privacy in Medical Generative Models: Scalable Memorization Detection with DeepSSIM++2609.03615v1 · Antonio Scardace, Francesco Guarnera, Sebastiano Battiato et al.2026 · 0 citationsarXiv
Hospital-to-Home Neurological Transition Care: A Scoping Review Across Selected Chronic Neurological Disorders.42646579 · Calabrò, Rocco Salvatore, Calderone, Andrea, Ravi, Daniele et al.2026 · 0 citationsMedical sciences (Basel, Switzerland). 2026;14(4)
A Quantitative Analysis of Multimodal Biomarkers in Alzheimer's Disease2606.17867v1 · Antonio Scardace, Daniele Ravi2026 · 0 citationsarXiv
Reinforcing the Weakest Links: Modernizing SIENA with Targeted Deep Learning Integration2603.12951v1 · Riccardo Raciti, Lemuel Puglisi, Francesco Guarnera et al.2026 · 0 citationsarXiv
Temporally-aware diffusion model for brain progression modelling with bidirectional temporal regularisation.41468830 · Litrico, Mattia, Guarnera, Francesco, Giuffrida, Mario Valerio et al.2026 · 0 citationsComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 2026;127:102688
Combined magnetic resonance imaging and serum analysis reveals distinct multiple sclerosis types.41325776 · Willard, Charles, Puglisi, Lemuel, Ravi, Daniele et al.2025 · 19 citationsBrain : a journal of neurology. 2025;148(12):4578-4591
Regional patch-based MRI brain age modeling with an interpretable cognitive reserve proxy.41908685 · Maddox, Samuel, Puglisi, Lemuel, Darabifard, Fatemeh et al.2026 · 0 citationsPattern recognition letters. 2026;199:219-224
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis2509.16582v2 · Antonio Scardace, Lemuel Puglisi, Francesco Guarnera et al.2025 · 1 citationarXiv
CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis2508.01292v2 · Alec Sargood, Lemuel Puglisi, James H. Cole et al.2025 · 1 citationarXiv
Brain Latent Progression: Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion.40774097 · Puglisi, Lemuel, Alexander, Daniel C, Alzheimer’s Disease Neuroimaging Initiative et al.2025 · 16 citationsMedical image analysis. 2025;106:103734
Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation2507.14575v1 · Andrea Moschetto, Lemuel Puglisi, Alec Sargood et al.2025 · 3 citationsarXiv
A technical assessment of latent diffusion for Alzheimer's Disease progression.41445917 · McMaster, Elyssa, Puglisi, Lemuel, Gao, Chenyu et al.2026 · 3 citationsProceedings of SPIE--the International Society for Optical Engineering. 2025;13406
Industrial Machines Health Prognosis using a Transformer-based Framework2411.14443v1 · David J Poland, Lemuel Puglisi, Daniele Ravi2024 · 3 citationsarXiv
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI2406.12411v1 · Mattia Litrico, Francesco Guarnera, Valerio Giuffirda et al.2024 · 12 citationsarXiv
SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions2406.00365v2 · Lemuel Puglisi, Alessia Rondinella, Linda De Meo et al.2024 · 4 citationsarXiv
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge2405.03328v1 · Lemuel Puglisi, Daniel C. Alexander, Daniele Ravi2024 · 28 citationsarXiv
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection2402.10776v1 · H. Fabelo, S. Ortega, A. Szolna et al.2024 · 177 citationsIEEE Access, 2019, 7, pp. 39098 39116
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.38000256 · Ravi, Daniele, Alzheimer’s Disease Neuroimaging Initiative, Barkhof, Frederik et al.2023 · 11 citationsMedical image analysis. 2024;91:103033
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification2302.13057v2 · Lemuel Puglisi (for the Alzheimer's Disease Neuroimaging Initiative), Frederik Barkhof, Daniel C. Alexander et al.2023 · 2 citationsarXiv
Deformably-Scaled Transposed Convolution2210.09446v1 · Stefano B. Blumberg, Daniele Rav'i, Mou-Cheng Xu et al.2022 · 2 citationsarXiv
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.34731771 · Ravi, Daniele, Blumberg, Stefano B, Ingala, Silvia et al.2022 · 54 citationsMedical image analysis. 2022;75:102257
Augmenting Dementia Cognitive Assessment With Instruction-Less Eye-Tracking Tests.32749977 · Mengoudi, Kyriaki, Ravi, Daniele, Yong, Keir X X et al.2021 · 50 citationsIEEE journal of biomedical and health informatics. 2020;24(11):3066-3075
Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches.32415459 · Szczotka, Agnieszka Barbara, Shakir, Dzhoshkun Ismail, Ravì, Daniele et al.2020 · 11 citationsInternational journal of computer assisted radiology and surgery. 2020;15(7):1167-1175
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression1907.02787v2 · Daniele Ravi, Daniel C. Alexander, Neil P. Oxtoby2019 · 45 citationsarXiv
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.30769327 · Ravì, Daniele, Szczotka, Agnieszka Barbara, Pereira, Stephen P et al.2019 · 65 citationsMedical image analysis. 2019;53:123-131
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.29687176 · Ravì, Daniele, Szczotka, Agnieszka Barbara, Shakir, Dzhoshkun Ismail et al.2018 · 53 citationsInternational journal of computer assisted radiology and surgery. 2018;13(6):917-924
Artificial Intelligence and Robotics1803.10813v1 · Javier Andreu-Perez, Fani Deligianni, Daniele Ravi et al.2018 · 9 citationsarXiv
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations.29554126 · Fabelo, Himar, Ortega, Samuel, Ravi, Daniele et al.2018 · 180 citationsPloS one. 2018;13(3):e0193721
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation.29389893 · Fabelo, Himar, Ortega, Samuel, Lazcano, Raquel et al.2018 · 153 citationsSensors (Basel, Switzerland). 2018;18(2)
Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging.28436854 · Ravi, Daniele, Fabelo, Himar, Callic, Gustavo Marrero et al.2018 · 92 citationsIEEE transactions on medical imaging. 2017;36(9):1845-1857
Deep Learning for Health Informatics.28055930 · Ravi, Daniele, Wong, Charence, Deligianni, Fani et al.2017 · 1,994 citationsIEEE journal of biomedical and health informatics. 2017;21(1):4-21
A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices.28026792 · Ravi, Daniele, Wong, Charence, Lo, Benny et al.2017 · 439 citationsIEEE journal of biomedical and health informatics. 2017;21(1):56-64
Saliency-based selection of gradient vector flow paths for content aware image resizing.24723572 · Battiato, Sebastiano, Farinella, Giovanni Maria, Puglisi, Giovanni et al.2015 · 44 citationsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2014;23(5):2081-95
Career total: 84 works. 36 are in this corpus.

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