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Daniele Ravì
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2020 – today
- 2024
- [j17]Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Lemuel Puglisi, Geoffrey J. M. Parker, Arman Eshaghi:
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. Medical Image Anal. 91: 103033 (2024) - [c18]Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì:
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge. MICCAI (2) 2024: 173-183 - [c17]Mattia Litrico, Francesco Guarnera, Mario Valerio Giuffrida, Daniele Ravì, Sebastiano Battiato:
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI. MICCAI (2) 2024: 444-453 - [i12]Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì:
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge. CoRR abs/2405.03328 (2024) - [i11]Lemuel Puglisi, Alessia Rondinella, Linda De Meo, Francesco Guarnera, Sebastiano Battiato, Daniele Ravì:
SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions. CoRR abs/2406.00365 (2024) - [i10]Mattia Litrico, Francesco Guarnera, Valerio Giuffirda, Daniele Ravì, Sebastiano Battiato:
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI. CoRR abs/2406.12411 (2024) - 2023
- [c16]Daniele Ravì:
Challenges and Opportunities of AI in Medical Imaging. IMPROVE 2023: 7 - [c15]Lemuel Puglisi, Arman Eshaghi, Geoff J. M. Parker, Frederik Barkhof, Daniel C. Alexander, Daniele Ravì:
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. MIDL 2023: 716-729 - [i9]Lemuel Puglisi, Frederik Barkhof, Daniel C. Alexander, Geoffrey J. M. Parker, Arman Eshaghi, Daniele Ravì:
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. CoRR abs/2302.13057 (2023) - 2022
- [j16]Daniele Ravì, Stefano B. Blumberg, Silvia Ingala, Frederik Barkhof, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia. Medical Image Anal. 75: 102257 (2022) - [c14]Francesca Trenta, Sebastiano Battiato, Daniele Ravì:
An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets. ICIAP (1) 2022: 358-367 - [i8]Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Geoffrey J. M. Parker, Arman Eshaghi:
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. CoRR abs/2206.03359 (2022) - [i7]Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander:
Deformably-Scaled Transposed Convolution. CoRR abs/2210.09446 (2022) - 2020
- [j15]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Daniele Ravì, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1167-1175 (2020) - [j14]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:
Augmenting Dementia Cognitive Assessment With Instruction-Less Eye-Tracking Tests. IEEE J. Biomed. Health Informatics 24(11): 3066-3075 (2020)
2010 – 2019
- 2019
- [j13]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:
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. IEEE Access 7: 39098-39116 (2019) - [j12]Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P. Pereira, Tom Vercauteren:
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. Medical Image Anal. 53: 123-131 (2019) - [c13]Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. MICCAI (3) 2019: 164-172 - [i6]Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P. Pereira, Tom Vercauteren:
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. CoRR abs/1901.06988 (2019) - [i5]Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. CoRR abs/1907.02787 (2019) - [i4]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Daniele Ravì, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches. CoRR abs/1911.13169 (2019) - [i3]Daniele Ravì, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI. CoRR abs/1912.01526 (2019) - 2018
- [j11]Daniele Ravì, Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Stephen P. Pereira, Tom Vercauteren:
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction. Int. J. Comput. Assist. Radiol. Surg. 13(6): 917-924 (2018) - [j10]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:
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation. Sensors 18(2): 430 (2018) - [i2]Daniele Ravì, Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Stephen P. Pereira, Tom Vercauteren:
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction. CoRR abs/1803.08840 (2018) - [i1]Javier Andreu-Perez, Fani Deligianni, Daniele Ravì, Guang-Zhong Yang:
Artificial Intelligence and Robotics. CoRR abs/1803.10813 (2018) - 2017
- [j9]Daniele Ravì, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu-Perez, Benny Lo, Guang-Zhong Yang:
Deep Learning for Health Informatics. IEEE J. Biomed. Health Informatics 21(1): 4-21 (2017) - [j8]Daniele Ravì, Charence Wong, Benny Lo, Guang-Zhong Yang:
A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices. IEEE J. Biomed. Health Informatics 21(1): 56-64 (2017) - [j7]Daniele Ravì, Himar Fabelo, Gustavo Marrero Callicó, Guang-Zhong Yang:
Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging. IEEE Trans. Medical Imaging 36(9): 1845-1857 (2017) - [c12]Ruizhe Zhang, Daniele Ravì, Guang-Zhong Yang, Benny P. L. Lo:
A personalized air quality sensing system - a preliminary study on assessing the air quality of London underground stations. BSN 2017: 111-114 - 2016
- [j6]Daniele Ravì, M. Bober, Giovanni Maria Farinella, Mirko Guarnera, Sebastiano Battiato:
Semantic segmentation of images exploiting DCT based features and random forest. Pattern Recognit. 52: 260-273 (2016) - [c11]Daniele Ravì, Charence Wong, Benny Lo, Guang-Zhong Yang:
Deep learning for human activity recognition: A resource efficient implementation on low-power devices. BSN 2016: 71-76 - 2015
- [j5]Giovanni Maria Farinella, Daniele Ravì, Valeria Tomaselli, Mirko Guarnera, Sebastiano Battiato:
Representing scenes for real-time context classification on mobile devices. Pattern Recognit. 48(4): 1086-1100 (2015) - [c10]Daniele Ravì, Benny Lo, Guang-Zhong Yang:
Real-time food intake classification and energy expenditure estimation on a mobile device. BSN 2015: 1-6 - 2014
- [j4]Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Puglisi, Daniele Ravì:
Aligning codebooks for near duplicate image detection. Multim. Tools Appl. 72(2): 1483-1506 (2014) - [j3]Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Puglisi, Daniele Ravì:
Saliency-Based Selection of Gradient Vector Flow Paths for Content Aware Image Resizing. IEEE Trans. Image Process. 23(5): 2081-2095 (2014) - 2012
- [c9]Sebastiano Battiato, Giovanni Maria Farinella, Enrico Messina, Giovanni Puglisi, Daniele Ravì, Alessandro Capra, Valeria Tomaselli:
On the performances of computer vision algorithms on mobile platforms. Digital Photography 2012: 82990L - [c8]Sebastiano Battiato, Giovanni Maria Farinella, Mirko Guarnera, Daniele Ravì, Valeria Tomaselli:
Instant Scene Recognition on Mobile Platform. ECCV Workshops (3) 2012: 655-658 - [c7]Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Puglisi, Daniele Ravì:
Content-aware image resizing with seam selection based on Gradient Vector Flow. ICIP 2012: 2117-2120 - 2010
- [j2]Sebastiano Battiato, Giovanni Maria Farinella, Mirko Guarnera, Giuseppe Messina, Daniele Ravì:
Red-Eyes Removal through Cluster-Based Boosting on Gray Codes. EURASIP J. Image Video Process. 2010 (2010) - [j1]Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Gallo, Daniele Ravì:
Exploiting Textons Distributions on Spatial Hierarchy for Scene Classification. EURASIP J. Image Video Process. 2010 (2010) - [c6]Sebastiano Battiato, Giovanni Maria Farinella, Mirko Guarnera, Giuseppe Messina, Daniele Ravì:
Red-eyes removal through cluster based Linear Discriminant Analysis. ICIP 2010: 2185-2188 - [c5]Sebastiano Battiato, Giovanni Maria Farinella, Mirko Guarnera, Giuseppe Messina, Daniele Ravì:
Boosting Gray Codes for Red Eyes Removal. ICPR 2010: 4214-4217 - [c4]Sebastiano Battiato, Giovanni Maria Farinella, Giuseppe Claudio Guarnera, Tony Meccio, Giovanni Puglisi, Daniele Ravì, Rosetta Rizzo:
Bags of phrases with codebooks alignment for near duplicate image detection. MiFor@MM 2010: 65-70
2000 – 2009
- 2009
- [c3]Daniele Ravì, Tony Meccio, Giuseppe Messina, Mirko Guarnera:
JBIG for Printer Pipelines: A Compression Test. CCIW 2009: 180-187 - [c2]Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Gallo, Daniele Ravì:
Spatial Hierarchy of Textons Distributions for Scene Classification. MMM 2009: 333-343 - 2008
- [c1]Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Gallo, Daniele Ravì:
Scene categorization using bag of Textons on spatial hierarchy. ICIP 2008: 2536-2539
Coauthor Index
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last updated on 2024-12-05 21:40 CET by the dblp team
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