| Bach: Grand challenge on breast cancer histology images G Aresta, T Araújo, S Kwok, SS Chennamsetty, M Safwan, V Alex, ... Medical image analysis 56, 122-139, 2019 | 152 | 2019 |
| Human skin detection through correlation rules between the YCb and YCr subspaces based on dynamic color clustering N Brancati, G De Pietro, M Frucci, L Gallo Computer Vision and Image Understanding 155, 33-42, 2017 | 35 | 2017 |
| Touchless target selection techniques for wearable augmented reality systems N Brancati, G Caggianese, M Frucci, L Gallo, P Neroni Intelligent Interactive Multimedia Systems and Services, 1-9, 2015 | 27 | 2015 |
| Experiencing touchless interaction with augmented content on wearable head-mounted displays in cultural heritage applications N Brancati, G Caggianese, M Frucci, L Gallo, P Neroni Personal and Ubiquitous Computing 21 (2), 203-217, 2017 | 22 | 2017 |
| Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques A D’Arco, N Brancati, MA Ferrara, M Indolfi, M Frucci, L Sirleto Biomedical optics express 7 (5), 1853-1864, 2016 | 21 | 2016 |
| A deep learning approach for breast invasive ductal carcinoma detection and lymphoma multi-classification in histological images N Brancati, G De Pietro, M Frucci, D Riccio IEEE Access 7, 44709-44720, 2019 | 20 | 2019 |
| Multi-classification of breast cancer histology images by using a fine-tuning strategy N Brancati, M Frucci, D Riccio International conference image analysis and recognition, 771-778, 2018 | 18 | 2018 |
| Retinal vessels segmentation based on a convolutional neural network N Brancati, M Frucci, D Gragnaniello, D Riccio Iberoamerican Congress on Pattern Recognition, 119-126, 2017 | 18 | 2017 |
| A new unsupervised approach for segmenting and counting cells in high-throughput microscopy image sets D Riccio, N Brancati, M Frucci, D Gragnaniello IEEE journal of biomedical and health informatics 23 (1), 437-448, 2018 | 12 | 2018 |
| Robust fingertip detection in egocentric vision under varying illumination conditions N Brancati, G Caggianese, M Frucci, L Gallo, P Neroni 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2015 | 11 | 2015 |
| A fully automatic one-scan adaptive zooming algorithm for color images C Arcelli, N Brancati, M Frucci, G Ramella, GS Di Baja Signal Processing 91 (1), 61-71, 2011 | 9 | 2011 |
| Usability evaluation of a wearable augmented reality system for the enjoyment of the cultural heritage N Brancati, G Caggianese, G De Pietro, M Frucci, L Gallo, P Neroni 2015 11th International Conference on Signal-Image Technology & Internet …, 2015 | 8 | 2015 |
| Image segmentation via iterative histogram thresholding and morphological features analysis N Brancati, M Frucci, GS di Baja International Conference Image Analysis and Recognition, 132-141, 2008 | 8 | 2008 |
| A signalling cascade involving receptor-activated phospholipase A 2, glycerophosphoinositol 4-phosphate, Shp1 and Src in the activation of cell motility A Varone, S Mariggiň, M Patheja, V Maione, A Varriale, M Vessichelli, ... Cell Communication and Signaling 17 (1), 1-21, 2019 | 7 | 2019 |
| An unsupervised approach for eye sclera segmentation D Riccio, N Brancati, M Frucci, D Gragnaniello Iberoamerican Congress on Pattern Recognition, 550-557, 2017 | 7 | 2017 |
| A machine-learning approach for the assessment of the proliferative compartment of solid tumors on hematoxylin-eosin-stained sections F Martino, S Varricchio, D Russo, F Merolla, G Ilardi, M Mascolo, ... Cancers 12 (5), 1344, 2020 | 6 | 2020 |
| Learning-based approach to segment pigment signs in fundus images for retinitis pigmentosa analysis N Brancati, M Frucci, D Gragnaniello, D Riccio, V Di Iorio, L Di Perna, ... Neurocomputing 308, 159-171, 2018 | 6 | 2018 |
| Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa N Brancati, M Frucci, D Gragnaniello, D Riccio, V Di Iorio, L Di Perna Computerized Medical Imaging and Graphics 66, 73-81, 2018 | 6 | 2018 |
| HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification P Pati, G Jaume, LA Fernandes, A Foncubierta-Rodríguez, F Feroce, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | 5 | 2020 |
| Dynamic clustering for skin detection in ycbcr colour space N Brancati, M Frucci, G De Pietro, L Gallo Minsk: Publishing Center of BSU, 2016 | 5 | 2016 |
