Nicola Martini

According to our database, Nicola Martini authored at least 15 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Novel Workflow for Electrophysiology Studies in Patients with Brugada Syndrome.

Valentina Hartwig, Maria Sole Morelli, Nicola Martini, Paolo Seghetti, Davide Tirabasso, Vincenzo Positano, Sara Latrofa, Giacomo Mansi, Andrea Rossi, Alberto Giannoni, Alessandro Tognetti, Nicola Vanello

Sensors, July, 2024

Hardware and Software Setup for Quantitative 23Na Magnetic Resonance Imaging at 3T: A Phantom Study.

Giulio Giovannetti, Alessandra Flori, Nicola Martini, Filippo Cademartiri, Giovanni Aquaro, Alessandro Pingitore, Francesca Frijia

Sensors, May, 2024

2023

Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.

Filippo Bargagna, Lisa Anita De Santi, Nicola Martini, Dario Genovesi, Brunella Favilli, Giuseppe Vergaro, Michele Emdin, Assuero Giorgetti, Vincenzo Positano, Maria Filomena Santarelli

J. Digit. Imaging, December, 2023

2022

Airborne Radiometric Surveys and Machine Learning Algorithms for Revealing Soil Texture.

Andrea Maino, Matteo Albéri, Emiliano Anceschi, Enrico Chiarelli, Luca Cicala, Tommaso Colonna, Mario De Cesare, Enrico Guastaldi, Nicola Lopane, Fabio Mantovani, Maurizio Marcialis, Nicola Martini, Michele Montuschi, Silvia Piccioli, Kassandra Giulia Cristina Raptis, Antonio Russo, Filippo Semenza, Virginia Strati

Remote. Sens., 2022

2021

Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T.

Guido Buonincontri, Jan W. Kurzawski, Joshua D. Kaggie, Tomasz Matys, Ferdia A. Gallagher, Matteo Cencini, Graziella Donatelli, Paolo Cecchi, Mirco Cosottini, Nicola Martini, Francesca Frijia, Domenico Montanaro, Pedro A. Gómez, Rolf F. Schulte, Alessandra Retico, Michela Tosetti

NeuroImage, 2021

2018

Training of a Skull-Stripping Neural Network with efficient data augmentation.

Gabriele Valvano, Nicola Martini, Andrea Leo, Gianmarco Santini, Daniele Della Latta, Emiliano Ricciardi, Dante Chiappino

CoRR, 2018

Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging.

Gabriele Valvano, Gianmarco Santini, Nicola Martini, Andrea Ripoli, Chiara Iacconi, Dante Chiappino, Daniele Della Latta

CoRR, 2018

Synthetic contrast enhancement in cardiac CT with Deep Learning.

Gianmarco Santini, Lorena M. Zumbo, Nicola Martini, Gabriele Valvano, Andrea Leo, Andrea Ripoli, Francesco Avogliero, Dante Chiappino, Daniele Della Latta

CoRR, 2018

2017

An automatic deep learning approach for coronary artery calcium segmentation.

Gianmarco Santini, Daniele Della Latta, Nicola Martini, Giuseppe Valvano, A. Gori, Andrea Ripoli, C. L. Susini, Luigi Landini, Dante Chiappino

CoRR, 2017

2015

A novel 3D Cartesian random sampling strategy for Compressive Sensing Magnetic Resonance Imaging.

Giuseppe Valvano, Nicola Martini, Maria Filomena Santarelli, Dante Chiappino, Luigi Landini

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

New Methods in Cardiac Magnetic Resonance Imaging and Spectroscopy.

Nicola Martini

PhD thesis, 2014

2012

The dynamics of EEG gamma responses to unpleasant visual stimuli: From local activity to functional connectivity.

Nicola Martini, Danilo Menicucci, Laura Sebastiani, Remo Bedini, Alessandro Pingitore, Nicola Vanello, Matteo Milanesi, Luigi Landini, Angelo Gemignani

NeuroImage, 2012

2009

Evaluation of a pitch estimation algorithm for speech emotion recognition.

Nicola Vanello, Nicola Martini, Matteo Milanesi, H. Keiser, Marcello Calisti, Leonardo Bocchi, Claudia Manfredi, Luigi Landini

Proceedings of the Sixth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2009

2008

Independent component analysis applied to the removal of motion artifacts from electrocardiographic signals.

Matteo Milanesi, Nicola Martini, Nicola Vanello, Vincenzo Positano, Maria Filomena Santarelli, Luigi Landini

Medical Biol. Eng. Comput., 2008

2006

Multichannel Techniques for Motion Artifacts Removal from Electrocardiographic Signals.

Matteo Milanesi, Nicola Martini, Nicola Vanello, Vincenzo Positano, Maria Filomena Santarelli, Rita Paradiso, Danilo De Rossi, Luigi Landini

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006