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Daniele Ravì
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2020 – today
- 2024
- [j17]Daniele Ravì
, Frederik Barkhof
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
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. CoRR abs/2302.13057 (2023) - 2022
- [j16]Daniele Ravì
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia. Medical Image Anal. 75: 102257 (2022) - [c14]Francesca Trenta
An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets. ICIAP (1) 2022: 358-367 - [i8]Daniele Ravì, Frederik Barkhof
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
Deformably-Scaled Transposed Convolution. CoRR abs/2210.09446 (2022) - 2020
- [j15]Agnieszka Barbara Szczotka
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
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
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. IEEE Access 7: 39098-39116 (2019) - [j12]Daniele Ravì
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. Medical Image Anal. 53: 123-131 (2019) - [c13]Daniele Ravì
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
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
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
Artificial Intelligence and Robotics. CoRR abs/1803.10813 (2018) - 2017
- [j9]Daniele Ravì
Deep Learning for Health Informatics. IEEE J. Biomed. Health Informatics 21(1): 4-21 (2017) - [j8]Daniele Ravì
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
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
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
Semantic segmentation of images exploiting DCT based features and random forest. Pattern Recognit. 52: 260-273 (2016) - [c11]Daniele Ravì
Deep learning for human activity recognition: A resource efficient implementation on low-power devices. BSN 2016: 71-76 - 2015
- [j5]Giovanni Maria Farinella
Representing scenes for real-time context classification on mobile devices. Pattern Recognit. 48(4): 1086-1100 (2015) - [c10]Daniele Ravì
Real-time food intake classification and energy expenditure estimation on a mobile device. BSN 2015: 1-6 - 2014
- [j4]Sebastiano Battiato
Aligning codebooks for near duplicate image detection. Multim. Tools Appl. 72(2): 1483-1506 (2014) - [j3]Sebastiano Battiato
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
On the performances of computer vision algorithms on mobile platforms. Digital Photography 2012: 82990L - [c8]Sebastiano Battiato
Instant Scene Recognition on Mobile Platform. ECCV Workshops (3) 2012: 655-658 - [c7]Sebastiano Battiato
Content-aware image resizing with seam selection based on Gradient Vector Flow. ICIP 2012: 2117-2120 - 2010
- [j2]Sebastiano Battiato
Red-Eyes Removal through Cluster-Based Boosting on Gray Codes. EURASIP J. Image Video Process. 2010 (2010) - [j1]Sebastiano Battiato
Exploiting Textons Distributions on Spatial Hierarchy for Scene Classification. EURASIP J. Image Video Process. 2010 (2010) - [c6]Sebastiano Battiato
Red-eyes removal through cluster based Linear Discriminant Analysis. ICIP 2010: 2185-2188 - [c5]Sebastiano Battiato
Boosting Gray Codes for Red Eyes Removal. ICPR 2010: 4214-4217 - [c4]Sebastiano Battiato
Bags of phrases with codebooks alignment for near duplicate image detection. MiFor@MM 2010: 65-70
2000 – 2009
- 2009
- [c3]Daniele Ravì
JBIG for Printer Pipelines: A Compression Test. CCIW 2009: 180-187 - [c2]Sebastiano Battiato
Spatial Hierarchy of Textons Distributions for Scene Classification. MMM 2009: 333-343 - 2008
- [c1]Sebastiano Battiato
Scene categorization using bag of Textons on spatial hierarchy. ICIP 2008: 2536-2539
Coauthor Index
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last updated on 2024-10-11 18:20 CEST by the dblp team
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