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Daniele Ravì
Daniele Ravì
Associate Professor
Bestätigte E-Mail-Adresse bei ucl.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep learning for health informatics
D Ravì, C Wong, F Deligianni, M Berthelot, J Andreu-Perez, B Lo, ...
IEEE journal of biomedical and health informatics 21 (1), 4-21, 2016
22022016
A deep learning approach to on-node sensor data analytics for mobile or wearable devices
D Ravi, C Wong, B Lo, GZ Yang
IEEE journal of biomedical and health informatics 21 (1), 56-64, 2016
5032016
Deep learning for human activity recognition: A resource efficient implementation on low-power devices
D Ravi, C Wong, B Lo, GZ Yang
2016 IEEE 13th international conference on wearable and implantable body …, 2016
3102016
Artificial Intelligence and Robotics
JA Perez, F Deligianni, D Ravi, GZ Yang
arXiv preprint arXiv:1803.10813, 2018
2292018
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
H Fabelo, S Ortega, D Ravi, BR Kiran, C Sosa, D Bulters, GM Callicó, ...
PloS one 13 (3), e0193721, 2018
1662018
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
H Fabelo, S Ortega, A Szolna, D Bulters, JF Piñeiro, S Kabwama, ...
IEEE Access 7, 39098-39116, 2019
1532019
An intraoperative visualization system using hyperspectral imaging to aid in brain tumor delineation
H Fabelo, S Ortega, R Lazcano, D Madroñal, G M. Callicó, E Juárez, ...
Sensors 18 (2), 430, 2018
1512018
Manifold embedding and semantic segmentation for intraoperative guidance with hyperspectral brain imaging
D Ravi, H Fabelo, GM Callic, GZ Yang
IEEE transactions on medical imaging 36 (9), 1845-1857, 2017
1032017
Semantic segmentation of images exploiting DCT based features and random forest
D Ravì, M Bober, GM Farinella, M Guarnera, S Battiato
Pattern Recognition 52, 260-273, 2016
842016
Representing scenes for real-time context classification on mobile devices
GM Farinella, D Ravì, V Tomaselli, M Guarnera, S Battiato
Pattern Recognition 48 (4), 1086-1100, 2015
612015
Saliency-based selection of gradient vector flow paths for content aware image resizing
S Battiato, GM Farinella, G Puglisi, D Ravi
IEEE Transactions on Image Processing 23 (5), 2081-2095, 2014
612014
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
D Ravì, AB Szczotka, SP Pereira, T Vercauteren
Medical image analysis 53, 123-131, 2019
602019
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction
D Ravì, AB Szczotka, DI Shakir, SP Pereira, T Vercauteren
International Journal of Computer Assisted Radiology and Surgery, 1-8, 2018
522018
Degenerative adversarial neuroimage nets: generating images that mimic disease progression
D Ravi, DC Alexander, NP Oxtoby, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
502019
Real-Time Food Intake Classification and Energy Expenditure Estimation on a Mobile Device
D Ravì, B Lo, G Yang
Body Sensor Network, 2015
442015
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia
D Ravi, SB Blumberg, S Ingala, F Barkhof, DC Alexander, NP Oxtoby, ...
Medical Image Analysis 75, 102257, 2022
42*2022
Augmenting Dementia Cognitive Assessment with Instruction-less Eye-tracking Tests
K Mengoudi, D Ravi', KXX Yong, S Primativo, I Pavisic, E Brotherhood, ...
IEEE Journal of Biomedical and Health Informatics, 2020
422020
Exploiting textons distributions on spatial hierarchy for scene classification
S Battiato, GM Farinella, G Gallo, D Ravì
EURASIP Journal on Image and Video Processing 2010, 1-13, 2010
422010
Scene categorization using bag of textons on spatial hierarchy
S Battiato, GM Farinella, G Gallo, D Ravì
2008 15th IEEE International Conference on Image Processing, 2536-2539, 2008
372008
Spatial hierarchy of textons distributions for scene classification
S Battiato, GM Farinella, G Gallo, D Ravì
Advances in Multimedia Modeling: 15th International Multimedia Modeling …, 2009
342009
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