Image Segmentation Via Iterative Histogram Thresholding and Morphological Features Analysis. - Nadia Brancati; Maria Frucci; Gabriella Sanniti di Baja (ICIAR, 2008)

Capturing Knowledge in Real-Time ICT System to Boost Business Performance. - Nadia Brancati; Giovanni Mappa (AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2009)

Reconnecting Broken Ridges in Fingerprint Images. - Nadia Brancati; Maria Frucci; Gabriella Sanniti di Baja (ICIAP, 2009)

A fully automatic one-scan adaptive zooming algorithm for color images. - Carlo Arcelli; Nadia Brancati; Maria Frucci; Giuliana Ramella; Gabriella Sanniti di Baja (Signal Process., 2011)

Chatting to Personalize and Plan Cultural Itineraries. - Antonio Sorgente; Nadia Brancati; Cristina Giannone; Fabio Massimo Zanzotto; Francesco Mele; Roberto Basili 001 (UMAP Workshops, 2013)

Robust fingertip detection in egocentric vision under varying illumination conditions. - Nadia Brancati; Giuseppe Caggianese; Maria Frucci; Luigi Gallo; Pietro Neroni (ICME Workshops, 2015)

Usability Evaluation of a Wearable Augmented Reality System for the Enjoyment of the Cultural Heritage. - Nadia Brancati; Giuseppe Caggianese; Giuseppe De Pietro; Maria Frucci; Luigi Gallo; Pietro Neroni (SITIS, 2015)

Analysis of Similarity Measurements in CBIR Using Clustered Tamura Features for Biomedical Images. - Nadia Brancati; Francesco Camastra (IIMSS, 2016)

Light Amplification and Nonlinear Microscopy by Stimulated Raman Scattering. - Maria Antonietta Ferrara; Annalisa D'Arco; Maurizio Indolfi; Nadia Brancati; Luigi Zeni; Luigi Sirleto (PHOTOPTICS, 2016)

Scale Invariant Descriptor for Content Based Image Retrieval in Biomedical Applications. - Nadia Brancati; Diego Gragnaniello; Luisa Verdoliva (SITIS, 2016)

Retinal Vessels Segmentation Based on a Convolutional Neural Network. - Nadia Brancati; Maria Frucci; Diego Gragnaniello; Daniel Riccio (CIARP, 2017)

An Unsupervised Approach for Eye Sclera Segmentation. - Daniel Riccio; Nadia Brancati; Maria Frucci; Diego Gragnaniello (CIARP, 2017)

Human skin detection through correlation rules between the YCb and YCr subspaces based on dynamic color clustering. - Nadia Brancati; Giuseppe De Pietro; Maria Frucci; Luigi Gallo (Comput. Vis. Image Underst., 2017)

Experiencing touchless interaction with augmented content on wearable head-mounted displays in cultural heritage applications. - Nadia Brancati; Giuseppe Caggianese; Maria Frucci; Luigi Gallo; Pietro Neroni (Pers. Ubiquitous Comput., 2017)

Multi-classification of Breast Cancer Histology Images by Using a Fine-Tuning Strategy. - Nadia Brancati; Maria Frucci; Daniel Riccio (ICIAR, 2018)

Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa. - Nadia Brancati; Maria Frucci; Diego Gragnaniello; Daniel Riccio; Valentina Di Iorio; Luigi Di Perna (Comput. Medical Imaging Graph., 2018)

BACH: Grand Challenge on Breast Cancer Histology Images. - Guilherme Aresta; Teresa Araújo; Scotty Kwok; Sai Saketh Chennamsetty; Mohammed Safwan K. P.; Alex Varghese; Bahram Marami; Marcel Prastawa; Monica Chan; Michael J. Donovan; Gerardo Fernandez; Jack Zeineh; et al. (CoRR, 2018)

Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis. - Nadia Brancati; Maria Frucci; Diego Gragnaniello; Daniel Riccio; Valentina Di Iorio; Luigi Di Perna; Francesca Simonelli (Neurocomputing, 2018)

Segmentation of Pigment Signs in Fundus Images for Retinitis Pigmentosa Analysis by Using Deep Learning. - Nadia Brancati; Maria Frucci; Daniel Riccio; Luigi Di Perna; Francesca Simonelli (ICIAP (2), 2019)

A Deep Learning Approach for Breast Invasive Ductal Carcinoma Detection and Lymphoma Multi-Classification in Histological Images. - Nadia Brancati; Giuseppe De Pietro; Maria Frucci; Daniel Riccio (IEEE Access, 2019)

A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets. - Daniel Riccio; Nadia Brancati; Maria Frucci; Diego Gragnaniello (IEEE J. Biomed. Health Informatics, 2019)

HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. - Pushpak Pati; Guillaume Jaume; Lauren Alisha Fernandes; Antonio Foncubierta-Rodríguez; Florinda Feroce; Anna Maria Anniciello; Giosue Scognamiglio; Nadia Brancati; Daniel Riccio; Maurizio Di Bonito; Giuseppe De Pietro; Gerardo Botti; et al. (UNSURE/GRAIL@MICCAI, 2020)

Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks. - Nadia Brancati; Giuseppe De Pietro; Daniel Riccio; Maria Frucci (IEEE Access, 2021)

Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology. - Pushpak Pati; Guillaume Jaume; Antonio Foncubierta; Florinda Feroce; Anna Maria Anniciello; Giosuè Scognamiglio; Nadia Brancati; Maryse Fiche; Estelle Dubruc; Daniel Riccio; Maurizio Di Bonito; Giuseppe De Pietro; et al. (CoRR, 2021)

Exploring a Transformer Approach for Pigment Signs Segmentation in Fundus Images. - Mara Sangiovanni; Maria Frucci; Daniel Riccio; Luigi Di Perna; Francesca Simonelli; Nadia Brancati (ICIAP Workshops, 2022)

BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. - Nadia Brancati; Anna Maria Anniciello; Pushpak Pati; Daniel Riccio; Giosuè Scognamiglio; Guillaume Jaume; Giuseppe De Pietro; Maurizio Di Bonito; Antonio Foncubierta; Gerardo Botti; Maria Gabrani; Florinda Feroce; et al. (Database J. Biol. Databases Curation, 2022)

Hierarchical graph representations in digital pathology. - Pushpak Pati; Guillaume Jaume; Antonio Foncubierta-Rodríguez; Florinda Feroce; Anna Maria Anniciello; Giosue Scognamiglio; Nadia Brancati; Maryse Fiche; Estelle Dubruc; Daniel Riccio; Maurizio Di Bonito; Giuseppe De Pietro; et al. (Medical Image Anal., 2022)

A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments. - Laura Verde; Nadia Brancati; Giuseppe De Pietro; Maria Frucci; Giovanna Sannino (ACM Trans. Internet Techn., 2022)

A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer. - Valentina Brancato; Nadia Brancati; Giusy Esposito; Massimo La Rosa; Carlo Cavaliere; Ciro Allarà; Valeria Romeo; Giuseppe De Pietro; Marco Salvatore; Marco Aiello 003; Mara Sangiovanni (Sensors, 2023)

CNN-based classification of phonocardiograms using fractal techniques. - Daniel Riccio; Nadia Brancati; Giovanna Sannino; Laura Verde; Maria Frucci (Biomed. Signal Process. Control., 2023)

Improving Breast Tumor Multi-Classification from High-Resolution Histological Images with the Integration of Feature Space Data Augmentation. - Nadia Brancati; Maria Frucci (Inf., 2024)

Augmentation-Based Deep Learning for Identification of Circulating Tumor Cells. - Martina Russo; Giulia Bertolini; Vera Cappelletti; Cinzia De Marco; Serena Di Cosimo; Petra Paiè; Nadia Brancati (CoRR, 2025)