Full Professor, Dept. of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, Italy
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Convergent mutations and kinase fusions lead to oncogenic STAT3 activation in anaplastic large cell lymphoma
R Crescenzo, F Abate, E Lasorsa, M Gaudiano, N Chiesa, F Di Giacomo, ...
Cancer cell 27 (4), 516-532, 2015
Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer
C Isella, F Brundu, SE Bellomo, F Galimi, E Zanella, R Porporato, C Petti, ...
Nature communications 8 (1), 15107, 2017
Automated segmentation of tissue images for computerized IHC analysis
S Di Cataldo, E Ficarra, A Acquaviva, E Macii
Computer methods and programs in biomedicine 100 (1), 1-15, 2010
MicroRNA–mRNA interactions underlying colorectal cancer molecular subtypes
L Cantini, C Isella, C Petti, G Picco, S Chiola, E Ficarra, M Caselle, ...
Nature communications 6 (1), 8878, 2015
Computer-aided techniques for chromogenic immunohistochemistry: status and directions
S Di Cataldo, E Ficarra, E Macii
Computers in biology and medicine 42 (10), 1012-1025, 2012
Pegasus: a comprehensive annotation and prediction tool for detection of driver gene fusions in cancer
F Abate, S Zairis, E Ficarra, A Acquaviva, CH Wiggins, V Frattini, ...
BMC systems biology 8, 1-14, 2014
Mining textural knowledge in biological images: Applications, methods and trends
S Di Cataldo, E Ficarra
Computational and structural biotechnology journal 15, 56-67, 2017
Colorectal cancer classification using deep convolutional networks
F Ponzio, E Macii, E Ficarra, S Di Cataldo
Proceedings of the 11th international joint conference on biomedical …, 2018
T-Cell Project: Prospective Collection of Data in Patients with Peripheral T-Cell Lymphoma and the AIRC 5xMille Consortium “Genetics-Driven Targeted Management of Lymphoid …
R Crescenzo, F Abate, E Lasorsa
Cancer Cell 27 (4), 516-532, 2015
Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification
S Di Cataldo, A Bottino, I Ul Islam, T Figueiredo Vieira, E Ficarra
Pattern Recognition, 2013
One decade of development and evolution of microRNA target prediction algorithms
EF Paula H. Reyes-Herrera
Genomics, Proteomics & Bioinformatics, 2012
Aneuploid acute myeloid leukemia exhibits a signature of genomic alterations in the cell cycle and protein degradation machinery
G Simonetti, A Padella, IF do Valle, MC Fontana, E Fonzi, S Bruno, ...
Cancer 125 (5), 712-725, 2019
An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test
S Tonti, S Di Cataldo, A Bottino, E Ficarra
Computerized Medical Imaging and Graphics 40, 62-69, 2015
A novel patient-derived tumorgraft model with TRAF1-ALK anaplastic large-cell lymphoma translocation
F Abate, M Todaro, JA van der Krogt, M Boi, I Landra, R Machiorlatti, ...
Leukemia 29 (6), 1390-1401, 2015
Applying textural features to the classification of HEp-2 cell patterns in IIF images
S Di Cataldo, A Bottino, E Ficarra, E Macii
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation
G Urgese, G Paciello, A Acquaviva, E Ficarra
BMC bioinformatics 17, 1-13, 2016
ALK signaling and target therapy in anaplastic large cell lymphoma
FRONTIERS IN ONCOLOGY 2 (00041), 12, 2012
Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: a quantitative evaluation
S Di Cataldo, E Ficarra, A Acquaviva, E Macii
Computerized Medical Imaging and Graphics 34 (6), 453-461, 2010
Bellerophontes: an RNA-Seq data analysis framework for chimeric transcripts discovery based on accurate fusion model
F Abate, A Acquaviva, G Paciello, C Foti, E Ficarra, A Ferrarini, ...
Bioinformatics 28 (16), 2114-2121, 2012
Automated segmentation of cells with IHC membrane staining
E Ficarra, S Di Cataldo, A Acquaviva, E Macii
IEEE Transactions on Biomedical Engineering 58 (5), 1421-1429, 2011
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