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2020 – today
- 2024
[j40]Luca Lumetti
, Vittorio Pipoli, Federico Bolelli, Elisa Ficarra, Costantino Grana:
Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal. IEEE Access 12: 79014-79024 (2024)- [j39]Gianpaolo Bontempo, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra:
A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification. IEEE Trans. Medical Imaging 43(4): 1412-1421 (2024) - [c49]Giacomo Capitani, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra:
ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision. WACV 2024: 4858-4867 - 2023
- [j38]Elena Pianfetti, Marta Lovino, Elisa Ficarra, Loredana Martignetti:
MiREx: mRNA levels prediction from gene sequence and miRNA target knowledge. BMC Bioinform. 24(1): 443 (2023) - [j37]Matteo Stefanini, Marta Lovino, Rita Cucchiara, Elisa Ficarra:
Predicting gene and protein expression levels from DNA and protein sequences with Perceiver. Comput. Methods Programs Biomed. 234: 107504 (2023) - [j36]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. Expert Syst. Appl. 214: 119121 (2023) - [c48]Gianpaolo Bontempo, Luca Lumetti, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra:
Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. ICIAP (2) 2023: 1-12 - [c47]Gianpaolo Bontempo, Nicola Bartolini, Marta Lovino, Federico Bolelli, Anni Virtanen, Elisa Ficarra:
Enhancing PFI Prediction with GDS-MIL: A Graph-Based Dual Stream MIL Approach. ICIAP (1) 2023: 550-562 - [c46]Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso:
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. ICML 2023: 23915-23936 - [c45]Gianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra:
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. MICCAI (1) 2023: 248-258 - [i3]Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso:
Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. CoRR abs/2302.01242 (2023) - 2022
- [j35]Jörg Winkler, Gianvito Urgese, Elisa Ficarra, Knut Reinert:
LaRA 2: parallel and vectorized program for sequence-structure alignment of RNA sequences. BMC Bioinform. 23(1): 18 (2022) - [j34]Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra:
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations. BMC Bioinform. 23(1): 295 (2022) - [j33]Vittorio Pipoli, Mattia Cappelli, Alessandro Palladini, Carlo Peluso, Marta Lovino, Elisa Ficarra:
Predicting gene expression levels from DNA sequences and post-transcriptional information with transformers. Comput. Methods Programs Biomed. 225: 107035 (2022) - [j32]Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione:
A survey on data integration for multi-omics sample clustering. Neurocomputing 488: 494-508 (2022) - [j31]Marta Lovino, Marilisa Montemurro, Venere S. Barrese, Elisa Ficarra:
Identifying the oncogenic potential of gene fusions exploiting miRNAs. J. Biomed. Informatics 129: 104057 (2022) - [c44]Federica Citarrella, Gianpaolo Bontempo, Marta Lovino, Elisa Ficarra:
FusionFlow: An Integrated System Workflow for Gene Fusion Detection in Genomic Samples. ADBIS (Short Papers) 2022: 79-88 - [c43]Emanuele Marconato, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini:
Catastrophic Forgetting in Continual Concept Bottleneck Models. ICIAP Workshops 2022: 539-547 - [c42]Alessio Mascolini, Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
High Resolution Explanation Maps for CNNs using Segmentation Networks. VL/HCC 2022: 1-3 - 2021
- [j30]Alejandra Cervera, Heidi Rausio, Tiia Kähkönen, Noora Andersson, Gabriele Partel, Ville Rantanen, Giulia Paciello, Elisa Ficarra, Johanna Hynninen, Sakari Hietanen, Olli Carpén, Rainer Lehtonen, Sampsa Hautaniemi, Kaisa Huhtinen:
FUNGI: FUsioN Gene Integration toolset. Bioinform. 37(19): 3353-3355 (2021) - [j29]Marilisa Montemurro, Elena Grassi, Carmelo Gabriele Pizzino, Andrea Bertotti, Elisa Ficarra, Gianvito Urgese:
PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity. BMC Bioinform. 22(1): 360 (2021) - [j28]Francesco Barchi, Emanuele Parisi, Gianvito Urgese, Elisa Ficarra, Andrea Acquaviva:
Exploration of Convolutional Neural Network models for source code classification. Eng. Appl. Artif. Intell. 97: 104075 (2021) - [j27]Santa Di Cataldo, Sara Vinco, Gianvito Urgese, Flaviana Calignano, Elisa Ficarra, Alberto Macii, Enrico Macii:
Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions. Proc. IEEE 109(4): 326-346 (2021) - [c41]Valerio Mieuli, Francesco Ponzio, Alessio Mascolini, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
A Bayesian approach to Expert Gate Incremental Learning. IJCNN 2021: 1-7 - [i2]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. CoRR abs/2103.13107 (2021) - [i1]Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra:
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study. CoRR abs/2107.07761 (2021) - 2020
- [j26]Thomas Desvignes, Phillipe Loher, Karen Eilbeck, Jeffery Ma, Gianvito Urgese, Bastian Fromm, Jason Sydes, Ernesto Aparicio-Puerta, Víctor Barrera, Roderic Espín, Florian Thibord, Xavier Bofill-De Ros, Eric Londin, Aristeidis G. Telonis, Elisa Ficarra, Marc R. Friedländer, John H. Postlethwait, Isidore Rigoutsos, Michael Hackenberg, Ioannis S. Vlachos, Marc K. Halushka, Lorena Pantano:
Unification of miRNA and isomiR research: the mirGFF3 format and the mirtop API. Bioinform. 36(3): 698-703 (2020) - [j25]Gianvito Urgese, Emanuele Parisi, Orazio M. Scicolone, Santa Di Cataldo, Elisa Ficarra:
BioSeqZip: a collapser of NGS redundant reads for the optimization of sequence analysis. Bioinform. 36(9): 2705-2711 (2020) - [j24]Marta Lovino, Maria Serena Ciaburri, Gianvito Urgese, Santa Di Cataldo, Elisa Ficarra:
DEEPrior: a deep learning tool for the prioritization of gene fusions. Bioinform. 36(10): 3248-3250 (2020) - [c40]Marilisa Montemurro, Gianvito Urgese, Elena Grassi, Carmelo Gabriele Pizzino, Andrea Bertotti, Elisa Ficarra:
Effective Evaluation of Clustering Algorithms on Single-Cell CNA data. ICBBE 2020: 5-11 - [c39]Marta Lovino, Gianpaolo Bontempo, Giansalvo Cirrincione, Elisa Ficarra:
Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models. ICIC (2) 2020: 32-42 - [c38]Pietro Barbiero, Marta Lovino, Mattia Siviero, Gabriele Ciravegna, Vincenzo Randazzo, Elisa Ficarra, Giansalvo Cirrincione:
Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network. ICIC (1) 2020: 172-182 - [c37]Francesco Ponzio, Giacomo Deodato, Enrico Macii, Santa Di Cataldo, Elisa Ficarra:
Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital Pathology. ISBI 2020: 1139-1143
2010 – 2019
- 2018
- [c36]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study. BIOIMAGING 2018: 58-66 - [c35]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
Going Deeper into Colorectal Cancer Histopathology. BIOSTEC (Selected Papers) 2018: 114-131 - [c34]Orazio M. Scicolone, Giulia Paciello, Elisa Ficarra:
geneEx - A Novel Tool to Assess Differential Expression from Gene and Exon Sequencing Data. BIOINFORMATICS 2018: 174-181 - [c33]Marta Lovino, Gianvito Urgese, Enrico Macii, Santa Di Cataldo, Elisa Ficarra:
Predicting the Oncogenic Potential of Gene Fusions Using Convolutional Neural Networks. CIBB 2018: 277-284 - 2017
- [j23]Giulia Paciello, Elisa Ficarra:
FuGePrior: A novel gene fusion prioritization algorithm based on accurate fusion structure analysis in cancer RNA-seq samples. BMC Bioinform. 18(1): 58:1-58:12 (2017) - [c32]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems - Integrating MR and US for Minimally Invasive Neuroimaging. BIOIMAGING 2017: 114-121 - [c31]Alessio Mascolini, S. Puzzo, G. Incatasciato, Francesco Ponzio, Elisa Ficarra, Santa Di Cataldo:
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images. IIH-MSP (1) 2017: 125-136 - 2016
- [j22]Gianvito Urgese, Giulia Paciello, Andrea Acquaviva, Elisa Ficarra:
isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation. BMC Bioinform. 17: 148 (2016) - [j21]Santa Di Cataldo, Simone Tonti, Andrea Bottino, Elisa Ficarra:
ANAlyte: A modular image analysis tool for ANA testing with indirect immunofluorescence. Comput. Methods Programs Biomed. 128: 86-99 (2016) - [c30]Santa Di Cataldo, Simone Tonti, Elisa Ciglieri, Francesco Ferrini, Enrico Macii, Elisa Ficarra, Chiara Salio:
Automated 3D immunofluorescence analysis of Dorsal Root Ganglia for the investigation of neural circuit alterations: a preliminary study. FedCSIS (Position Papers) 2016: 65-70 - 2015
- [j20]Simone Tonti, Santa Di Cataldo, Andrea Bottino, Elisa Ficarra:
An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test. Comput. Medical Imaging Graph. 40: 62-69 (2015) - [c29]Simone Tonti, Santa Di Cataldo, Enrico Macii, Elisa Ficarra:
Unsupervised HEp-2 mitosis recognition in indirect immunofluorescence imaging. EMBC 2015: 8135-8138 - 2014
- [j19]Francesco Abate, Sakellarios Zairis, Elisa Ficarra, Andrea Acquaviva, Chris H. Wiggins, Veronique Frattini, Anna Lasorella, Antonio Iavarone, Giorgio Inghirami, Raul Rabadan:
Pegasus: a comprehensive annotation and prediction tool for detection of driver gene fusions in cancer. BMC Syst. Biol. 8: 97 (2014) - [j18]Massimo Natale, Alfredo Benso, Stefano Di Carlo, Elisa Ficarra:
FunMod: A Cytoscape Plugin for Identifying Functional Modules in Undirected Protein-Protein Networks. Genom. Proteom. Bioinform. 12(4): 178-186 (2014) - [j17]Santa Di Cataldo, Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, Elisa Ficarra:
Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification. Pattern Recognit. 47(7): 2389-2399 (2014) - [c28]Giulia Paciello, Andrea Acquaviva, Consalvo Petti, Claudio Isella, Enzo Medico, Elisa Ficarra:
A Novel Pipeline for Identification and Prioritization of Gene Fusions in Patient-derived Xenografts of Metastatic Colorectal Cancer. BIOINFORMATICS 2014: 142-148 - [c27]Massimo Natale, Alfredo Benso, Stefano Di Carlo, Elisa Ficarra:
Identifying Sub-Network Functional Modules in Protein Undirected Networks. BIOINFORMATICS 2014: 149-155 - [c26]Gianvito Urgese, Giulia Paciello, Claudio Isella, Enzo Medico, Enrico Macii, Elisa Ficarra, Andrea Acquaviva:
miR-SEA: miRNA Seed Extension based Aligner Pipeline for NGS Expression Level Extraction. IWBBIO 2014: 1015-1026 - [c25]Gianvito Urgese, Giulia Paciello, Andrea Acquaviva, Elisa Ficarra, Mariagrazia Graziano, Maurizio Zamboni:
Dynamic Gap Selector: A Smith Waterman Sequence Alignment Algorithm with Affine Gap Model Optimization. IWBBIO 2014: 1347-1358 - 2013
- [j16]Ardita Shkurti, Mario Orsi, Enrico Macii, Elisa Ficarra, Andrea Acquaviva:
Acceleration of coarse grain molecular dynamics on GPU architectures. J. Comput. Chem. 34(10): 803-818 (2013) - [j15]Francesco Abate, Andrea Acquaviva, Elisa Ficarra, Enrico Macii:
Integration of Literature with Heterogeneous Information for Genes Correlation Scoring. ACM J. Emerg. Technol. Comput. Syst. 9(4): 28:1-28:22 (2013) - [j14]Francesco Abate, Andrea Acquaviva, Elisa Ficarra, Roberto Piva, Enrico Macii:
Gelsius: A Literature-Based Workflow for Determining Quantitative Associations between Genes and Biological Processes. IEEE ACM Trans. Comput. Biol. Bioinform. 10(3): 619-631 (2013) - [c24]Ihtesham Ul Islam, Santa Di Cataldo, Andrea Bottino, Elisa Ficarra, Enrico Macii:
Classification of HEp-2 Staining Patterns in ImmunoFluorescence Images - Comparison of Support Vector Machines and Subclass Discriminant Analysis Strategies. BIOINFORMATICS 2013: 53-61 - [c23]Ihtesham Ul Islam, Santa Di Cataldo, Andrea Bottino, Enrico Macii, Elisa Ficarra:
A Preliminary Analysis on HEp-2 Pattern Classification: Evaluating Strategies Based on Support Vector Machines and Subclass Discriminant Analysis. BIOSTEC (Selected Papers) 2013: 176-190 - [c22]Giulia Paciello, Elisa Ficarra, Alberto Zamò, Chiara Pighi, Carmelo Foti, Francesco Abate, Enrico Macii, Andrea Acquaviva:
A Novel Pipeline for V(D)J Junction Identification using RNA-Seq Paired-end Reads. BIOINFORMATICS 2013: 185-189 - 2012
- [j13]Francesco Abate, Andrea Acquaviva, Giulia Paciello, Carmelo Foti, Elisa Ficarra, Alberto Ferrarini, Massimo Delledonne, Ilaria Iacobucci, Simona Soverini, Giovanni Martinelli, Enrico Macii:
Bellerophontes: an RNA-Seq data analysis framework for chimeric transcripts discovery based on accurate fusion model. Bioinform. 28(16): 2114-2121 (2012) - [j12]Santa Di Cataldo, Elisa Ficarra, Enrico Macii:
Computer-aided techniques for chromogenic immunohistochemistry: Status and directions. Comput. Biol. Medicine 42(10): 1012-1025 (2012) - [j11]Paula Helena Reyes-Herrera, Elisa Ficarra:
One Decade of Development and Evolution of MicroRNA Target Prediction Algorithms. Genom. Proteom. Bioinform. 10(5): 254-263 (2012) - [j10]Massimo Natale, Alfonso Caiazzo, Enrico M. Bucci, Elisa Ficarra:
A Novel Gaussian Extrapolation Approach for 2D Gel Electrophoresis Saturated Protein Spots. Genom. Proteom. Bioinform. 10(6): 336-344 (2012) - [c21]Francesco Abate, Giulia Paciello, Andrea Acquaviva, Elisa Ficarra, Alberto Ferrarini, Massimo Delledonne, Enrico Macii:
A Novel Analysis Flow for Fused Transcripts Discovery from Paired-end RNA-Seq Data. BIOINFORMATICS 2012: 331-334 - [c20]Massimo Natale, Alfonso Caiazzo, Enrico M. Bucci, Elisa Ficarra:
A Novel Gaussian Fitting Approach for 2D Gel Electrophoresis Saturated Protein Spots. BIOINFORMATICS 2012: 335-338 - [c19]Ardita Shkurti, Andrea Acquaviva, Elisa Ficarra, Mario Orsi, Enrico Macii:
Characterization of Coarse Grain Molecular Dynamic Simulation Performance on Graphic Processing Unit Architectures. BIOINFORMATICS 2012: 339-342 - [c18]Santa Di Cataldo, Andrea Bottino, Elisa Ficarra, Enrico Macii:
Applying textural features to the classification of HEp-2 cell patterns in IIF images. ICPR 2012: 3349-3352 - 2011
- [j9]Paula Helena Reyes-Herrera, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
miREE: miRNA Recognition Elements Ensemble. BMC Bioinform. 12: 454 (2011) - [j8]Elisa Ficarra, Santa Di Cataldo, Andrea Acquaviva, Enrico Macii:
Automated Segmentation of Cells With IHC Membrane Staining. IEEE Trans. Biomed. Eng. 58(5): 1421-1429 (2011) - [c17]Francesco Abate, Andrea Acquaviva, Elisa Ficarra, Giulia Paciello, Enrico Macii, Alberto Ferrarini, Massimo Delledonne, Simona Soverini, Giovanni Martinelli:
A novel framework for chimeric transcript detection based on accurate gene fusion model. BIBM Workshops 2011: 34-41 - [c16]Santa Di Cataldo, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
Motion Artifact Correction in ASL images: An Improved Automated Procedure. BIBM 2011: 410-413 - [c15]Francesco Abate, Andrea Acquaviva, Elisa Ficarra, Enrico Macii:
A New Latent Semantic Analysis based Methodology for Knowledge Extraction from Biomedical Literature and Biological Pathways Databases. BIOINFORMATICS 2011: 66-74 - [c14]Francesco Abate, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
Improving Latent Semantic Analysis of Biomedical Literature Integrating UMLS Metathesaurus and Biomedical Pathways Databases. BIOSTEC (Selected Papers) 2011: 173-187 - [c13]Giulia Paciello, Andrea Acquaviva, Elisa Ficarra, M. A. Deriu, A. Grosso, Enrico Macii:
Binding Free Energy Calculation via Molecular Dynamics Simulations for a miRNA: mRNA Interaction. BIOINFORMATICS 2011: 318-321 - [c12]Massimo Mazzillo, Pier Giorgio Fallica, Elisa Ficarra, A. Messina, Mario Francesco Romeo, Roberto Zafalon:
Solid state photodetectors for nuclear medical imaging applications. DATE 2011: 511-512 - 2010
- [j7]Santa Di Cataldo, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: A quantitative evaluation. Comput. Medical Imaging Graph. 34(6): 453-461 (2010) - [j6]Santa Di Cataldo, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
Automated segmentation of tissue images for computerized IHC analysis. Comput. Methods Programs Biomed. 100(1): 1-15 (2010) - [c11]Ardita Shkurti, Andrea Acquaviva, Elisa Ficarra, Enrico Macii, Mario Orsi, Martino Ruggiero:
GPU acceleration of simulation tool for lipid-bilayers. BIBM Workshops 2010: 849-850 - [c10]Paula Helena Reyes-Herrera, Andrea Acquaviva, Elisa Ficarra, Enrico Macii:
MicroRNA Target Prediction and Exploration through Candidate Binding Sites Generation. CISIS 2010: 683-688 - [c9]Francesco Abate, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
An Automated Tool for Scoring Biomedical Terms Correlation Based on Semantic Analysis. CISIS 2010: 700-705
2000 – 2009
- 2009
- [p1]Daniele Apiletti, Giulia Bruno, Elisa Ficarra, Elena Baralis:
Extraction of Constraints from Biological Data. Biomedical Data and Applications 2009: 169-186 - 2008
- [j5]Elisa Ficarra, Giovanni De Micheli, Sungroh Yoon, Luca Benini, Enrico Macii:
Joint co-clustering: Co-clustering of genomic and clinical bioimaging data. Comput. Math. Appl. 55(5): 938-949 (2008) - [c8]Santa Di Cataldo, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
Segmentation of nuclei in cancer tissue images: Contrasting active contours with morphology-based approach. BIBE 2008: 1-6 - [c7]Santa Di Cataldo, Elisa Ficarra, Enrico Macii:
Fully-Automated Segmentation of Tumor Areas in Tissue Confocal Images - Comparison between a Custom Unsupervised and a Supervised SVM Approach. BIOSIGNALS (1) 2008: 116-123 - [c6]Santa Di Cataldo, Elisa Ficarra, Enrico Macii:
Automated Discrimination of Pathological Regions in Tissue Images: Unsupervised Clustering vs. Supervised SVM Classification. BIOSTEC (Selected Papers) 2008: 344-356 - 2007
- [c5]Elena Baralis, Elisa Ficarra, Alessandro Fiori, Enrico Macii:
Gene-Markers Representation for Microarray Data Integration. BIBE 2007: 1056-1060 - [c4]Santa Di Cataldo, Elisa Ficarra, Enrico Macii:
Selection of Tumor Areas and Segmentation of Nuclear Membranes in Tissue Confocal Images: A Fully Automated Approach. BIBM 2007: 390-398 - 2006
- [b1]Elisa Ficarra:
Data mining techniques for genetic information discovery. Polytechnic University of Turin, Italy, 2006 - [j4]Daniele Masotti, Elisa Ficarra, Enrico Macii, Luca Benini:
Optimized Technique for Dna Structural Properties Discovering. Int. J. Artif. Intell. Tools 15(5): 695-710 (2006) - [j3]Daniele Apiletti, Giulia Bruno, Elisa Ficarra, Elena Baralis:
Data Cleaning and Semantic Improvement in Biological Databases. J. Integr. Bioinform. 3(2) (2006) - [c3]Elisa Ficarra, Enrico Macii, Giovanni De Micheli, Luca Benini:
Computer-Aided Evaluation of Protein Expression in Pathological Tissue Images. CBMS 2006: 413-418 - 2005
- [j2]Elisa Ficarra, Daniele Masotti, Enrico Macii, Luca Benini, Giampaolo Zuccheri, Bruno Samorì:
Automatic intrinsic DNA curvature computation from AFM images. IEEE Trans. Biomed. Eng. 52(12): 2074-2086 (2005) - [j1]Elisa Ficarra, Luca Benini, Enrico Macii, Giampaolo Zuccheri:
Automated DNA fragments recognition and sizing through AFM image processing. IEEE Trans. Inf. Technol. Biomed. 9(4): 508-517 (2005) - 2004
- [c2]Daniele Masotti, Elisa Ficarra, Enrico Macii, Luca Benini:
Techniques for Enhancing Computation of DNA Curvature Molecules. BIBE 2004: 22-29 - 2002
- [c1]Elisa Ficarra, Luca Benini, Bruno Riccò, Giampaolo Zuccheri:
Automated DNA sizing in atomic force microscope images. ISBI 2002: 453-456
Coauthor Index
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