Maria Frucci
Maria Frucci
National Research Council (CNR) - Institute of High Performance Computing and networking (ICAR)
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Cited by
Cited by
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
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
Hierarchical Graph Representations in Digital Pathology
P Pati, G Jaume, A Foncubierta, F Feroce, AM Anniciello, G Scognamiglio, ...
Medical Image Analysis 75 (102264), 2022
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
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
WIRE: Watershed based Iris REcognition
M Frucci, M Nappi, D Riccio, G Sanniti di Baja
Pattern Recognition 52, 148-159, 2016
From segmentation to binarization of gray-level images
M Frucci, GS Di Baja
Journal of Pattern Recognition Research 3 (1), 1-13, 2008
BIRD: Watershed Based IRis Detection for mobile devices
AF Abate, M Frucci, C Galdi, D Riccio
Pattern Recognition Letters 57, 43-51, 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
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
Using resolution pyramids for watershed image segmentation
M Frucci, G Ramella, GS di Baja
Image and Vision Computing 25 (6), 1021-1031, 2007
Oversegmentation reduction by flooding regions and digging watershed lines
M Frucci
International Journal of Pattern Recognition and Artificial Intelligence 20 …, 2006
Severe: Segmenting vessels in retina images
M Frucci, D Riccio, GS di Baja, L Serino
Pattern Recognition Letters 82 (2), 162-169, 2016
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
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
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
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
Case-based reasoning for image segmentation by watershed transformation
M Frucci, P Perner, GS di Baja
Case-Based Reasoning on Images and Signals, 319-353, 2008
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
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
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