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Tom Trigano

Pileup Correction Algorithm using an Iterated Sparse Reconstruction Method
2015 · Tom Trigano, Ilia Gildin, et al. · IEEE Signal Processing Letters · 20
Fast Digital Filtering of Spectrometric Data for Pile-up Correction
2014 · T. Trigano, E. Barat, et al. · IEEE Signal Processing Letters · 17
Sparse spectral analysis of atrial fibrillation electrograms
2012 · Sandra Monzon, Tom Trigano, et al. · Machine learning for signal processing ... · 17
Cross-products LASSO
2013 · David Luengo, Javier Via, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 14
An Efficient Method to Learn Overcomplete Multi-Scale Dictionaries of ECG Signals
2018 · David Luengo, David Meltzer, et al. · Applied Sciences · 12
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Cosa: An accelerated ISTA algorithm for dictionaries based on translated waveforms
2017 · Tom Trigano, Igor Shevtsov, et al. · Signal Processing · 12
Blind analysis of atrial fibrillation electrograms: A sparsity-aware formulation
2015 · David Luengo, Sandra Monzón, et al. · Integrated Computer-Aided Engineering · 12
Deep Learning-Based Method for Activity Estimation From Short-Duration Gamma Spectroscopy Recordings
2024 · Tom Trigano, Dima Bykhovsky · IEEE Transactions on Instrumentation and Measurement · 11
Intensity Estimation of Spectroscopic Signals With an Improved Sparse Reconstruction Algorithm
2017 · Tom Trigano, Jonas Cohen · IEEE Signal Processing Letters · 10
Adaptive Trend Filtering for ECG Denoising and Delineation
2023 · Tom Trigano, Shlomi Talala, et al. · IEEE Journal of Biomedical and Health Informatics · 9
On nonhomogeneous activity estimation in Gamma spectrometry using sparse signal representation
2011 · T. Trigano, Y. Sepulcre, et al. · IEEE Statistical Signal Processing Workshop (SSP) · 9
Deep Learning Based Pile-Up Correction Algorithm for Spectrometric Data Under High-Count-Rate Measurements
2025 · Yiwei Huang, Xiaoying Zheng, et al. · Sensors · 8
Sparse ECG Representation with a Multi-Scale Dictionary Derived from Real-World Signals
2018 · David Luengo, David Meltzer, et al. · International Conference on Telecommunications and Signal Processing (TSP) · 8
Grouped sparsity algorithm for multichannel intracardiac ECG synchronization
2014 · Tom Trigano, Vladimir E. Kolesnikov, et al. · Hispana · 8
Nonparametric inference of photon energy distribution from indirect measurement
2007 · E. Moulines, F. Roueff, et al. · Bernoulli · 8
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TRAITEMENT STATISTIQUE DU SIGNAL SPECTROMETRIQUE : Etude du désempilement de spectre en énergie pour la spectrométrie gamma
2005 · Tom Trigano · OpenGrey (Institut de l'Information Scientifique et Technique) · 8
Biomimetic nuclear lamin fibers with remarkable toughness and stiffness
2020 · Maayan Khayat, Shani Deri, et al. · International Journal of Biological Macromolecules · 7
Efficient Iteratively Reweighted LASSO Algorithm for Cross-Products Penalized Sparse Solutions
2020 · David Luengo, Javier Via, et al. · European Signal Processing Conference (EUSIPCO) · 6
Jensen–Tsallis divergence for supervised classification under data imbalance
2025 · Antonio Squicciarini, Tom Trigano, et al. · Machine Learning · 5
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Fast background removal of JPEG images based on HSV polygonal cuts for a foot scanner device
2019 · T. Trigano, Y. Bechor · Journal of Real-Time Image Processing · 5
Data-driven parameter selection for activity estimation in nuclear spectroscopy
2018 · Tom Trigano, Yann Sepulcre · Signal Processing · 5
Pileup attenuation for spectroscopic signals using a sparse reconstruction
2012 · M. Lopatin, N. Moskovitch, et al. · IEEE Convention of Electrical and Electronics Engineers in Israel · 5
Advanced Spectroscopy Time-Domain Signal Simulator for the Development of Machine and Deep Learning Algorithms
2025 · Dima Bykhovsky, Zikang Chen, et al. · IEEE Sensors Letters · 4
GaSim: A python class to generate simulated time signals for gamma spectroscopy
2025 · Zikang Chen, Dima Bykhovsky, et al. · SoftwareX · 4
Deep Learning-Based Energy Spectrum Estimation for High Counting Rate Nuclear Spectrometry
2025 · Yiwei Huang, Congyu Lin, et al. · IEEE Transactions on Instrumentation and Measurement · 4
Works count: 53
Citation count: 268
H-index: 9
I10-index: 9
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