FRUCCI, MARIA
FRUCCI, MARIA
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.
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
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
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 Pati, P; Jaume, G; Alisha Fernandes, L; Foncubierta, A; Feroce, F; M Anniciello, A; Scognamiglio, G; Brancati, N; Driccio, ; Di Bonito, M; DE PIETRO, Giuseppe; Botti, G; Goksel, O; P Thiran, J; Frucci, M; Gabrani, M
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
Segmentation of Pigment Signs in Fundus Images for Retinitis Pigmentosa Analysis by using Deep Learning
2019 Brancati, N; Frucci, M; Riccio, D; Di Perna, L; Simonelli, F
| 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. | |
| 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 | |
| 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 | |
| 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 | Pati, P; Jaume, G; Alisha Fernandes, L; Foncubierta, A; Feroce, F; M Anniciello, A; Scognamiglio, G; Brancati, N; Driccio, ; Di Bonito, M; DE PIETRO, Giuseppe; Botti, G; Goksel, O; P Thiran, J; Frucci, M; Gabrani, M | |
| 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 | |
| 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 |