Follow
Daniele Perlo
Daniele Perlo
Luxembourg Institute of Health
Verified email at unito.it
Title
Cited by
Cited by
Year
Unitopatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
CA Barbano, D Perlo, E Tartaglione, A Fiandrotti, L Bertero, P Cassoni, ...
2021 IEEE International Conference on Image Processing (ICIP), 76-80, 2021
382021
Modificatory provisions detection: a hybrid NLP approach
D Gianfelice, L Lesmo, M Palmirani, D Perlo, DP Radicioni
Proceedings of the Fourteenth International Conference on Artificial …, 2013
172013
Post-synaptic potential regularization has potential
E Tartaglione, D Perlo, M Grangetto
International Conference on Artificial Neural Networks, 187-200, 2019
16*2019
Applications of ai and hpc in the health domain
D Oniga, B Cantalupo, E Tartaglione, D Perlo, M Grangetto, M Aldinucci, ...
HPC, Big Data, and AI Convergence Towards Exascale, 217-239, 2022
13*2022
Unitochest: A lung image dataset for segmentation of cancerous nodules on ct scans
HAH Chaudhry, R Renzulli, D Perlo, F Santinelli, S Tibaldi, C Cristiano, ...
International Conference on Image Analysis and Processing, 185-196, 2022
122022
UniToBrain dataset: a brain perfusion dataset
D Perlo, E Tartaglione, U Gava, F D’Agata, E Benninck, M Bergui
International Conference on Image Analysis and Processing, 498-509, 2022
11*2022
Dysplasia grading of colorectal polyps through convolutional neural network analysis of whole slide images
D Perlo, E Tartaglione, L Bertero, P Cassoni, M Grangetto
International Conference on Medical Imaging and Computer-Aided Diagnosis …, 2021
72021
Lung nodules segmentation with deephealth toolkit
HAH Chaudhry, R Renzulli, D Perlo, F Santinelli, S Tibaldi, C Cristiano, ...
International Conference on Image Analysis and Processing, 487-497, 2022
52022
Virtual Reality Interface for Multidisciplinary Physical Analysis of Space Vehicles.
AM Soccini, M Marello, N Balossino, C Bar, V Basso, M Lucenteforte, ...
EuroVr, 2014
42014
Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI
G Kanli, D Perlo, S Boudissa, R Jiřík, O Keunen
International Workshop on Machine Learning in Medical Imaging, 228-237, 2024
12024
Addressing artefacts in anatomical MR images: a k-space-based approach
S Boudissa, G Kanli, D Perlo, T Jaquet, O Keunen
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024
12024
Predicting Hypoxia in Brain Tumors from Multiparametric MRI
D Perlo, G Kanli, S Boudissa, O Keunen
arXiv preprint arXiv:2401.14171, 2024
12024
Unitopatho
L Bertero, CA Barbano, D Perlo, E Tartaglione, P Cassoni, M Grangetto, ...
IEEE Dataport, 2021
12021
Multi-parametric MRI to FMISO PET Synthesis for Hypoxia Prediction in Brain Tumors
D Perlo, G Kanli, S Boudissa, O Keunen
MICCAI Workshop on Deep Generative Models, 119-128, 2024
2024
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification
D Perlo, L Berton, A Delpiano, F Menchini, S Tibaldi, M Grosso, P Fonio
2022 IEEE International Conference on Big Data (Big Data), 4425-4433, 2022
2022
AI for health and well-being: from biomedical images to healthcare process management passing by virtual dietitian
L Anselma, R Aringhieri, C Barbano, G Boella, L Di Caro, M Grangetto, ...
2022
PhD Thesis: Deep Learning for medical imaging: perspectives from real use cases
D Perlo
UniTo - Department of Computer Science, 2021
2021
UniToBrain Dataset
U Gava, F D'Agata, E Bennink, E Tartaglione, D Perlo, A Vernone, ...
ZENODO, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–18