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Michelangelo Paci
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2020 – today
- 2024
- [j9]Sofia Botti, Chiara Bartolucci, Claudia Altomare, Michelangelo Paci, Lucio Barile, Rolf Krause, Luca Franco Pavarino, Stefano Severi:
A novel ionic model for matured and paced atrial-like human iPSC-CMs integrating IKur and IKCa currents. Comput. Biol. Medicine 180: 108899 (2024) - 2023
- [j8]Riccardo Bravin, Loris Nanni, Andrea Loreggia, Sheryl Brahnam, Michelangelo Paci:
Varied Image Data Augmentation Methods for Building Ensemble. IEEE Access 11: 8810-8823 (2023) - [c20]Mohamadamin Forouzandehmehr, Soudabeh Ghosi, Michelangelo Paci, Jari Aarne Kalevi Hyttinen, Jussi T. Koivumäki:
Mechanosensitive Channel Piezo1 in R403Q Hypertrophic Cardiomyopathy: A Computational Study. CinC 2023: 1-4 - 2022
- [j7]Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini:
Feature transforms for image data augmentation. Neural Comput. Appl. 34(24): 22345-22356 (2022) - [j6]Loris Nanni, Sheryl Brahnam, Michelangelo Paci, Stefano Ghidoni:
Comparison of Different Convolutional Neural Network Activation Functions and Methods for Building Ensembles for Small to Midsize Medical Data Sets. Sensors 22(16): 6129 (2022) - [c19]Chiara Bartolucci, Mohamadamin Forouzandehmehr, Michelangelo Paci, Stefano Severi:
Mechanical Translation of Electrical Abnormalities With a New Electromechanical Model of Human Ventricular Cell. CinC 2022: 1-4 - [c18]Mohamadamin Forouzandehmehr, Michelangelo Paci, Jussi T. Koivumäki, Jari A. K. Hyttinen:
Mutation-specific Hypertrophic Cardiomyopathy and Mavacamten: a Mechano-energetic In Silico Study. CinC 2022: 1-4 - [i5]Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini:
Feature transforms for image data augmentation. CoRR abs/2201.09700 (2022) - 2021
- [j5]Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini:
Comparison of Different Image Data Augmentation Approaches. J. Imaging 7(12): 254 (2021) - [c17]Mohamadamin Forouzandehmehr, Chiara Bartolucci, Jari A. K. Hyttinen, Jussi T. Koivumäki, Michelangelo Paci:
Sensitivity of the Human Ventricular BPS2020 Action Potential Model to the In Silico Mechanisms of Ischemia. CinC 2021: 1-4 - [c16]Leto Luana Riebel, Elisa Passini, Francesca Margara, Michelangelo Paci, Jacopo Biasetti, Blanca Rodríguez:
In Silico Identification of the Key Ionic Currents Modulating Human Pluripotent Stem Cell-Derived Cardiomyocytes Towards an Adult Phenotype. CinC 2021: 1-4 - [i4]Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci:
Comparison of different convolutional neural network activation functions and methods for building ensembles. CoRR abs/2103.15898 (2021) - 2020
- [j4]Loris Nanni, Gianluca Maguolo, Michelangelo Paci:
Data augmentation approaches for improving animal audio classification. Ecol. Informatics 57: 101084 (2020) - [c15]Chiara Bartolucci, Michelangelo Paci, Stefano Severi:
Investigation of the Extracellular Calcium Effects on Action Potential Using the Most Recent Human Ventricular Cell Models. CinC 2020: 1-4 - [c14]Mohamadamin Forouzandehmehr, Nicolò Cogno, Jussi T. Koivumäki, Jari A. K. Hyttinen, Michelangelo Paci:
The Comparison Between Two Mathematical Contractile Elements Integrated into an hiPSC-CM In-silico Model. CinC 2020: 1-4 - [i3]Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci:
An Ensemble of Convolutional Neural Networks for Audio Classification. CoRR abs/2007.07966 (2020)
2010 – 2019
- 2019
- [c13]Chiara Bartolucci, Michelangelo Paci, Jari A. K. Hyttinen, Elisa Passini, Stefano Severi:
Evolution of the Seminal O'Hara Rudy Model to More Accurately Simulate the Electrophysiology of Human Ventricular Cardiomyocytes. CinC 2019: 1-4 - [c12]Michelangelo Paci, Stefano Severi, Jari A. K. Hyttinen:
Automaticity in Cardiomyocytes Derived From Human Induced Pluripotent Stem Cells as Result of Different Mechanisms. CinC 2019: 1-4 - [i2]Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan:
Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation. CoRR abs/1912.05472 (2019) - [i1]Loris Nanni, Gianluca Maguolo, Michelangelo Paci:
Data augmentation approaches for improving animal audio classification. CoRR abs/1912.07756 (2019) - 2018
- [c11]Michelangelo Paci, Elisa Passini, Aleksandra Klimas, Stefano Severi, Jari A. K. Hyttinen, Blanca Rodríguez, Emilia Entcheva:
In Silico Populations Optimized on Optogenetic Recordings Predict Drug Effects in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes. CinC 2018: 1-4 - 2017
- [j3]Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Stefano Ghidoni:
An ensemble of visual features for Gaussians of local descriptors and non-binary coding for texture descriptors. Expert Syst. Appl. 82: 27-39 (2017) - [c10]Alan Fabbri, Michelangelo Paci, Jari A. K. Hyttinen, Ronald Wilders, Stefano Severi:
Effects of the Small Conductance Calcium-Activated Potassium Current (IsK) in Human Sinoatrial Node. CinC 2017 - 2016
- [j2]Loris Nanni, Alessandra Lumini, Florentino Luciano Caetano dos Santos, Michelangelo Paci, Jari A. K. Hyttinen:
Ensembles of dense and dense sampling descriptors for the HEp-2 cells classification problem. Pattern Recognit. Lett. 82: 28-35 (2016) - [c9]Michelangelo Paci, Elisa Passini, Stefano Severi, Jari A. K. Hyttinen, Blanca Rodríguez:
A Population of In Silico Models to Face the Variability of Human Induced Pluripotent Stem Cell-derived Cardiomyocytes: the hERG Block Case Study. CinC 2016 - 2015
- [c8]Michelangelo Paci, Jari A. K. Hyttinen, Stefano Severi:
Quantification of the Ionic Current Contributions to Alterations in the Action Potential Repolarization by means of Piecewise-Linear Approximation. CinC 2015: 145-148 - 2014
- [j1]Loris Nanni, Michelangelo Paci, Sheryl Brahnam:
Indirect immunofluorescence image classification using texture descriptors. Expert Syst. Appl. 41(5): 2463-2471 (2014) - [c7]Henry Joutsijoki, Jyrki Rasku, Markus Haponen, Ivan Baldin, Yulia Gizatdinova, Michelangelo Paci, Jyri Saarikoski, Kirsi Varpa, Harri Siirtola, Jorge Avalos-Salguero, Kati Iltanen, Jorma Laurikkala, Kirsi Penttinen, Jari A. K. Hyttinen, Katriina Aalto-Setälä, Martti Juhola:
Classification of iPSC colony images using hierarchical strategies with support vector machines. CIDM 2014: 86-92 - [c6]Michelangelo Paci, Stefano Severi, Jari A. K. Hyttinen:
Computational Modeling Supports Induced Pluripotent Stem Cell-derived Cardiomyocytes Reliability as a Model for Human LQT3. CinC 2014: 69-72 - [c5]Yulia Gizatdinova, Jyrki Rasku, Markus Haponen, Henry Joutsijoki, Ivan Baldin, Michelangelo Paci, Jari A. K. Hyttinen, Katriina Aalto-Setälä, Martti Juhola:
Investigating local spatially-enhanced structural and textural descriptors for classification of iPSC colony images. EMBC 2014: 3361-3365 - [c4]Loris Nanni, Michelangelo Paci, Florentino Luciano Caetano dos Santos, Jari A. K. Hyttinen:
Morphological and Texture Features for HEp-2 Cells Classification. I3A@ICPR 2014: 45-48 - [c3]Loris Nanni, Michelangelo Paci, Florentino Luciano Caetano dos Santos, Sheryl Brahnam, Jari A. K. Hyttinen:
Analysis of Virus Textures in Transmission Electron Microscopy Images. InMed 2014: 83-91 - [c2]Henry Joutsijoki, Markus Haponen, Ivan Baldin, Jyrki Rasku, Yulia Gizatdinova, Michelangelo Paci, Jari A. K. Hyttinen, Katriina Aalto-Setälä, Martti Juhola:
Histogram-based classification of iPSC colony images using machine learning methods. SMC 2014: 2611-2617 - 2013
- [c1]Michelangelo Paci, Jari A. K. Hyttinen, Stefano Severi:
Computational Modelling of LQT1 in Human Induced Pluripotent Stem Cell Derived Cardiomyocytes. CinC 2013: 1239-1242 - [p1]Loris Nanni, Michelangelo Paci, Stefano Severi:
Heterogeneous Ensemble of Classifiers for Sub-Cellular Image Classification Based on Local Ternary Patterns. Local Binary Patterns 2013: 131-148
Coauthor Index
aka: Jari Aarne Kalevi Hyttinen
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