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 | 578 | 2019 |
Hierarchical Graph Representations in Digital Pathology P Pati, G Jaume, A Foncubierta, F Feroce, AM Anniciello, G Scognamiglio, ... Medical Image Analysis 75 (102264), 2022 | 101 | 2022 |
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 | 86 | 2019 |
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 | 78 | 2020 |
Bracs: A dataset for breast carcinoma subtyping in h&e histology images N Brancati, AM Anniciello, P Pati, D Riccio, G Scognamiglio, G Jaume, ... Database 2022, baac093, 2022 | 66 | 2022 |
Multi-classification of breast cancer histology images by using a fine-tuning strategy N Brancati, M Frucci, D Riccio Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018 | 52 | 2018 |
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 | 52 | 2017 |
WIRE: Watershed based Iris REcognition M Frucci, M Nappi, D Riccio, G Sanniti di Baja Pattern Recognition 52, 148-159, 2016 | 50 | 2016 |
From segmentation to binarization of gray-level images M Frucci, GS Di Baja Journal of Pattern Recognition Research 3 (1), 1-13, 2008 | 48 | 2008 |
BIRD: Watershed Based IRis Detection for mobile devices AF Abate, M Frucci, C Galdi, D Riccio Pattern Recognition Letters 57, 43-51, 2015 | 46 | 2015 |
Wearable improved vision system for color vision deficiency correction P Melillo, D Riccio, L Di Perna, G Sanniti di Baja, M De Nino, S Rossi, ... IEEE Journal of Translational Engineering in Health and Medicine 5 (1), 1-7, 2017 | 45 | 2017 |
Using resolution pyramids for watershed image segmentation M Frucci, G Ramella, GS di Baja Image and Vision Computing 25 (6), 1021-1031, 2007 | 43 | 2007 |
Oversegmentation reduction by flooding regions and digging watershed lines M Frucci International Journal of Pattern Recognition and Artificial Intelligence 20 …, 2006 | 41 | 2006 |
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, 2019 | 39 | 2019 |
Severe: Segmenting vessels in retina images M Frucci, D Riccio, GS di Baja, L Serino Pattern Recognition Letters 82 (2), 162-169, 2016 | 37 | 2016 |
Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques AD Arco, N Brancati, MA Ferrara, M Indolfi, M Frucci, L Sirleto Biomedical Optics Express 7 (5), 1853-1864, 2016 | 35 | 2016 |
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 | 34 | 2017 |
Retinal Vessels Segmentation Based on a Convolutional Neural Network N Brancati, M Frucci, D Gragnaniello, D Riccio Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2018 | 31 | 2018 |
Reversible skeletonization by (5, 7, 11)-erosion C Arcelli, M Frucci Visual Form: Analysis and Recognition, 21-28, 1992 | 30 | 1992 |
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 | 29 | 2015 |