Daniele Ravì
Orcid: 0000-0003-0372-2677
According to our database1,
Daniele Ravì
authored at least 37 papers
between 2008 and 2024.
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Bibliography
2024
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.
Medical Image Anal., January, 2024
2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Challenges and Opportunities of AI in Medical Imaging.
Proceedings of the 3rd International Conference on Image Processing and Vision Engineering, 2023
2022
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.
Medical Image Anal., 2022
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.
CoRR, 2022
An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
2020
IEEE J. Biomed. Health Informatics, 2020
Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches.
Int. J. Comput. Assist. Radiol. Surg., 2020
2019
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.
Medical Image Anal., 2019
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI.
CoRR, 2019
IEEE Access, 2019
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation.
Sensors, 2018
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.
Int. J. Comput. Assist. Radiol. Surg., 2018
2017
Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging.
IEEE Trans. Medical Imaging, 2017
A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices.
IEEE J. Biomed. Health Informatics, 2017
A personalized air quality sensing system - a preliminary study on assessing the air quality of London underground stations.
Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017
2016
Pattern Recognit., 2016
Deep learning for human activity recognition: A resource efficient implementation on low-power devices.
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016
2015
Pattern Recognit., 2015
Real-time food intake classification and energy expenditure estimation on a mobile device.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015
2014
Saliency-Based Selection of Gradient Vector Flow Paths for Content Aware Image Resizing.
IEEE Trans. Image Process., 2014
2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012
Proceedings of the Digital Photography VIII, 2012
2010
EURASIP J. Image Video Process., 2010
EURASIP J. Image Video Process., 2010
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the International Conference on Image Processing, 2010
2009
Proceedings of the Advances in Multimedia Modeling, 2009
Proceedings of the Computational Color Imaging, Second International Workshop, 2009
2008
Proceedings of the International Conference on Image Processing, 2008