CNR Institutional Research Information System

RICCIO, DANIEL

RICCIO, DANIEL  

Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli  

Mostra records
Risultati 1 - 20 di 25 (tempo di esecuzione: 0.072 secondi).
Titolo Data di pubblicazione Autore(i) File
CNN-based classification of phonocardiograms using fractal techniques 1-gen-2023 Riccio, Daniel; Brancati, Nadia; Sannino, Giovanna; Verde, Laura; Frucci, Maria
Analysis of 1D biomedical signals through AI based approaches for image processing 1-gen-2022 Sannino, Giovanna; Brancati, Nadia; M Bruckstein, Alfred; Frucci, Maria; Riccio, Daniel
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images 1-gen-2022 Brancati, N; M Anniciello, A; Pati, P; Riccio, D; Scognamiglio, G; Jaume, G; DE PIETRO, Giuseppe; Di Bonito, M; Foncubierta, A; Botti, G; Gabrani, M; Feroce, F; Frucci, M
Classification of Histology Images based on a Compact 3D Representation 1-gen-2022 Brancati, N; Cicala, C; Frucci, M; Riccio, D
Exploring a Transformer Approach for Pigment Signs Segmentation in Fundus Images 1-gen-2022 Sangiovanni, M; Frucci, M; Riccio, D; Di Perna, L; Simonelli, F; Brancati, N
Graph representation learning & explainability in breast cancer pathology: bridging the gap between AI and pathology practice 1-gen-2022 Pati, P; Jaume, G; Foncubiertarodriguez, A; Feroce, F; Scognamiglio, G; M Anniciello, A; Brancati, N; Frucci, M; Riccio, D; Thiran, Jp; Goksel, O; Gabrani, M
Segmentation of Pigment Signs in Fundus Images with a Hybrid Approach: a case study 1-gen-2022 Sangiovanni, M; Brancati, N; Frucci, M; Di Perna, L; Simonelli, F; Riccio, D
Bag of Deep features for classification of gigapixel histological images 1-gen-2021 Brancati, N; Frucci, M; Riccio, D; Cicala, C
BRACS:  BReAst Carcinoma Subtyping 1-gen-2021 Anniciello, Am; Botti, G; Brancati, N; De Pietro, G; Di Bonito, M; Feroce, F; Foncubierta, A; Frucci, M; Gabrani, M; Jaume, G; Pati, P; Riccio, D; Scognamiglio, G
Gigapixel Histopathological Image Analysis using Attention-based Neural Networks 1-gen-2021 Brancati, N; De Pietro, G; Frucci, M; Riccio, D
A Deep Learning approach for breast invasive ductal carcinoma detection and lymphoma multi-classification in histological images 1-gen-2019 Brancati, N; De Pietro, G; Frucci, M; Riccio, D
BACH: Grand Challenge on Breast Cancer Histology Images 1-gen-2019 Aresta, G; Araújo, T; Kwok, S; Chennamsetty, Ss; Safwan, M; Varghese, A; Marami, B; Prastawa, M; Chan, M; Donovan, M; Fernandez, G; Zeineh, J; Kohl, M; Walz, C; Ludwig, F; Braunewell, S; Baust, M; Dang Vu, Q; Nhat To, M N N; Kim, E; Kwak, Jt; Galal, S; Sanchezfreirek, V; Brancati, N; Frucci, M; Riccio, D; Wang, Y; Sun, L; Ma, K; Fang, J; Kone, I; Boulmane, L; Campilho, A; Eloy, C; Polónia, A; Aguiar, P
Segmentation of Pigment Signs in Fundus Images for Retinitis Pigmentosa Analysis by using Deep Learning 1-gen-2019 Brancati, N; Frucci, M; Riccio, D; Di Perna, L; Simonelli, F
An Unsupervised Approach for Eye Sclera Segmentation 1-gen-2018 Riccio, D; Brancati, N; Frucci, M; Gragnaniello, D
Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa disease 1-gen-2018 Brancati, N; Frucci, M; Gragnaniello, D; Riccio, D; Di Iorio, V; Di Perna, L
Electromagnetic modeling of ships in maritime scenarios: Geometrical optics approximation 1-gen-2018 Fuscaldo, W.; Di Simone, A.; Millefiori, L. M.; Riccio, D.; Ruello, G.; Braca, P.; Willett, P.
Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis 1-gen-2018 Brancati, N; Frucci, M; Gragnaniello, D; Riccio, D; Di Iorio, V; Di Perna, L; Simonelli, F
Multi-classification of breast cancer histology images by using a fine-tuning strategy 1-gen-2018 Brancati, N; Frucci, M; Riccio, D
Retina based person verification 1-gen-2018 Frucci M.; Riccio D.; Sanniti di Baja G.; Serino L.
Retinal Vessels Segmentation based on a Convolutional Neural Network 1-gen-2018 Brancati, N; Frucci, M; Gragnaniello, D; Riccio, D