BRANCATI, NADIA
BRANCATI, NADIA
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
Augmentation-based deep learning for identification of circulating tumor cells
2025 Russo, Martina; Bertolini, Giulia; Cappelletti, Vera; De Marco, Cinzia; Di Cosimo, Serena; Paiè, Petra; Brancati, Nadia
Machine Learning-Enhanced Architecture Model for Integrated and FHIR-Based Health Data
2025 Brancati, Nadia; Conte, Teresa; De Pietro, Simona; Russo, Martina; Sicuranza, Mario
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; Brancati, Nadia; Esposito, ; Giusy, ; Rosa, La; LA ROSA, Massimo; Cavaliere, ; Carlo, ; Allarà, ; Ciro, ; Romeo, ; Valeria, ; Pietro, De; DE PIETRO, Giuseppe; Salvatore, ; Marco, ; Aiello, ; Marco, ; Sangiovanni, Mara; 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
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
Gigapixel Histopathological Image Analysis using Attention-based Neural Networks
2021 Brancati, N; De Pietro, G; Frucci, M; Riccio, D
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
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
A New Unsupervised Approach for Segmenting and Counting Cells in High-throughput Microscopy Image Sets
2019 Riccio, D; Brancati, N; Frucci, M; Gragnaniello, D
A signalling cascade involving receptor-activated phospholipase A2, glycerophosphoinositol 4-phosphate, Shp1 and Src in the activation of cell motility
2019 Varone, A; Mariggiò, S; Patheja, M; Maione, V; Varriale, A; Vessichelli, M; Spano, D; Formiggini, F; Lo Monte, M; Brancati, N; Frucci, M; Del Vecchio, P; D'Auria, S; Flagiello, A; Iannuzzi, C; Luini, A; Pucci, P; Banci, L; Valente, C; Corda, D
BACH: Grand Challenge on Breast Cancer Histology Images
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
Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa disease
2018 Brancati, N; Frucci, M; Gragnaniello, D; Riccio, D; Di Iorio, V; Di Perna, L
Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis
2018 Brancati, N; Frucci, M; Gragnaniello, D; Riccio, D; Di Iorio, V; Di Perna, L; Simonelli, F
Experiencing touchless interaction with augmented content on wearable head-mounted displays in cultural heritage applications
2017 Brancati, Nadia; Caggianese, Giuseppe; Frucci, Maria; Gallo, Luigi; Neroni, Pietro
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Augmentation-based deep learning for identification of circulating tumor cells | 1-gen-2025 | Russo, Martina; Bertolini, Giulia; Cappelletti, Vera; De Marco, Cinzia; Di Cosimo, Serena; Paiè, Petra; Brancati, Nadia | |
| Machine Learning-Enhanced Architecture Model for Integrated and FHIR-Based Health Data | 1-gen-2025 | Brancati, Nadia; Conte, Teresa; De Pietro, Simona; Russo, Martina; Sicuranza, Mario | |
| 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; Brancati, Nadia; Esposito, ; Giusy, ; Rosa, La; LA ROSA, Massimo; Cavaliere, ; Carlo, ; Allarà, ; Ciro, ; Romeo, ; Valeria, ; Pietro, De; DE PIETRO, Giuseppe; Salvatore, ; Marco, ; Aiello, ; Marco, ; Sangiovanni, Mara; 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 | |
| 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 | |
| Gigapixel Histopathological Image Analysis using Attention-based Neural Networks | 1-gen-2021 | Brancati, N; De Pietro, G; Frucci, M; Riccio, D | |
| 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 | |
| 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 | |
| A New Unsupervised Approach for Segmenting and Counting Cells in High-throughput Microscopy Image Sets | 1-gen-2019 | Riccio, D; Brancati, N; Frucci, M; Gragnaniello, D | |
| A signalling cascade involving receptor-activated phospholipase A2, glycerophosphoinositol 4-phosphate, Shp1 and Src in the activation of cell motility | 1-gen-2019 | Varone, A; Mariggiò, S; Patheja, M; Maione, V; Varriale, A; Vessichelli, M; Spano, D; Formiggini, F; Lo Monte, M; Brancati, N; Frucci, M; Del Vecchio, P; D'Auria, S; Flagiello, A; Iannuzzi, C; Luini, A; Pucci, P; Banci, L; Valente, C; Corda, 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 | |
| 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 | |
| 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 | |
| Experiencing touchless interaction with augmented content on wearable head-mounted displays in cultural heritage applications | 1-gen-2017 | Brancati, Nadia; Caggianese, Giuseppe; Frucci, Maria; Gallo, Luigi; Neroni, Pietro |