BRANCATI, NADIA
BRANCATI, NADIA
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
Improving Breast Tumor Multi-Classification from High-Resolution Histological Images with the Integration of Feature Space Data Augmentation
2024 Brancati, N.; Frucci, M.
A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer
2023 Brancato; Valentina;Brancati; Nadia;Esposito; Giusy;La Rosa; Massimo;Cavaliere; Carlo;Allarà; Ciro;Romeo; Valeria;De Pietro; Giuseppe;Salvatore; Marco;Aiello; Marco;Sangiovanni; Mara
CNN-based classification of phonocardiograms using fractal techniques
2023 Riccio, Daniel; Brancati, Nadia; Sannino, Giovanna; Verde, Laura; Frucci, Maria
A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments
2022 Verde, L; Brancati, N; DE PIETRO, Giuseppe; Frucci, M; Sannino, G
An Investigation on Radiomics Feature Handling for HNSCC Staging Classification
2022 Brancati, Nadia; LA ROSA, Massimo; DE PIETRO, Giuseppe; Esposito, Giusy; Valentino, Marika; Aiello, Marco; Salvatore, Marco
Analysis of 1D biomedical signals through AI based approaches for image processing
2022 Sannino, Giovanna; Brancati, Nadia; M Bruckstein, Alfred; Frucci, Maria; Riccio, Daniel
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
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
2022 Brancati, N; Cicala, C; Frucci, M; Riccio, D
Exploring a Transformer Approach for Pigment Signs Segmentation in Fundus Images
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
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
Hierarchical Graph Representations in Digital Pathology
2022 Pati, P; Jaume, G; Foncubierta, A; Feroce, F; M Anniciello, A; Scognamiglio, G; Brancati, N; Mfiche, ; Dubruc, E; Driccio, ; Di Bonito, M; DE PIETRO, Giuseppe; Botti, G; P Thiran, J; Frucci, M; Goksel, O; Gabrani, M
Segmentation of Pigment Signs in Fundus Images with a Hybrid Approach: a case study
2022 Sangiovanni, M; Brancati, N; Frucci, M; Di Perna, L; Simonelli, F; Riccio, D
Bag of Deep features for classification of gigapixel histological images
2021 Brancati, N; Frucci, M; Riccio, D; Cicala, C
BRACS: BReAst Carcinoma Subtyping
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
2021 Brancati, N; De Pietro, G; Frucci, M; Riccio, D
MOLIM - Documento di analisi, design e test della piattaforma informatica
2021 N. Brancati; M. Sangiovanni; M. Sicuranza
MOLIM - Modelli e tecniche per l'analisi di dati radiomici
2021 Sangiovanni, M; Brancati, N
A machine-learning approach for the assessment of the proliferative compartment of solid tumors on Hematoxylin-Eosin stained sections
2020 Martino, F; Varricchio, S; Russo, D; Fmerolla, ; Ilardi, G; Mascolo, M; Orabona dell'Aversana, G; Califano, L; Toscano, G; DE PIETRO, Giuseppe; Frucci, M; Brancati, N; Fraggetta, F; Staibano, S
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
2020 P. Pati; G. Jaume; L. Alisha Fernandes; A. Foncubierta; F. Feroce; A. M. Anniciello; G. Scognamiglio; N. Brancati; D.Riccio; M. Di Bonito; G. De Pietro; G. Botti; O. Goksel; J. P. Thiran; M. Frucci; M. Gabrani
A Deep Learning approach for breast invasive ductal carcinoma detection and lymphoma multi-classification in histological images
2019 Brancati N.; De Pietro G.; Frucci M.;Riccio D.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Improving Breast Tumor Multi-Classification from High-Resolution Histological Images with the Integration of Feature Space Data Augmentation | 1-gen-2024 | Brancati, N.; Frucci, M. | |
| A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer | 1-gen-2023 | Brancato; Valentina;Brancati; Nadia;Esposito; Giusy;La Rosa; Massimo;Cavaliere; Carlo;Allarà; Ciro;Romeo; Valeria;De Pietro; Giuseppe;Salvatore; Marco;Aiello; Marco;Sangiovanni; Mara | |
| CNN-based classification of phonocardiograms using fractal techniques | 1-gen-2023 | Riccio, Daniel; Brancati, Nadia; Sannino, Giovanna; Verde, Laura; Frucci, Maria | |
| A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments | 1-gen-2022 | Verde, L; Brancati, N; DE PIETRO, Giuseppe; Frucci, M; Sannino, G | |
| An Investigation on Radiomics Feature Handling for HNSCC Staging Classification | 1-gen-2022 | Brancati, Nadia; LA ROSA, Massimo; DE PIETRO, Giuseppe; Esposito, Giusy; Valentino, Marika; Aiello, Marco; Salvatore, Marco | |
| 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 | |
| Hierarchical Graph Representations in Digital Pathology | 1-gen-2022 | Pati, P; Jaume, G; Foncubierta, A; Feroce, F; M Anniciello, A; Scognamiglio, G; Brancati, N; Mfiche, ; Dubruc, E; Driccio, ; Di Bonito, M; DE PIETRO, Giuseppe; Botti, G; P Thiran, J; Frucci, M; 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 | |
| MOLIM - Documento di analisi, design e test della piattaforma informatica | 1-gen-2021 | N. Brancati; M. Sangiovanni; M. Sicuranza | |
| MOLIM - Modelli e tecniche per l'analisi di dati radiomici | 1-gen-2021 | Sangiovanni, M; Brancati, N | |
| A machine-learning approach for the assessment of the proliferative compartment of solid tumors on Hematoxylin-Eosin stained sections | 1-gen-2020 | Martino, F; Varricchio, S; Russo, D; Fmerolla, ; Ilardi, G; Mascolo, M; Orabona dell'Aversana, G; Califano, L; Toscano, G; DE PIETRO, Giuseppe; Frucci, M; Brancati, N; Fraggetta, F; Staibano, S | |
| HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification | 1-gen-2020 | P. Pati; G. Jaume; L. Alisha Fernandes; A. Foncubierta; F. Feroce; A. M. Anniciello; G. Scognamiglio; N. Brancati; D.Riccio; M. Di Bonito; G. De Pietro; G. Botti; O. Goksel; J. P. Thiran; M. Frucci; M. Gabrani | |
| 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. |