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Lorenzo Martini

Showing results (1-10 of 15) with videos related to

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The Science of the Total Environment|September 22, 2019
Sediment connectivity changes in an Andean catchment affected by volcanic eruptionLorenzo Martini, Lorenzo Picco, Andrés Iroumé, et al.
The Science of the Total Environment|April 27, 2023
Modeling landslide activity and sediment connectivity after eruptions: Insights from the Blanco River (Chile)Alberto Paredes, Lorenzo Martini, Andrés Iroumé, et al.
Genes|March 28, 2024
Cross-Omic Transcription Factor Analysis: An Insight on Transcription Factor Accessibility and Expression CorrelationLorenzo Martini, Roberta Bardini, Alessandro Savino, et al.
Genes|January 21, 2023
GAGAM v1.2: An Improvement on Peak Labeling and Genomic Annotated Gene Activity Matrix ConstructionLorenzo Martini, Roberta Bardini, Alessandro Savino, et al.
Bioinformatics (Oxford, England)|January 20, 2026
inMOTIFin: a lightweight end-to-end simulation software for regulatory sequencesKatalin Ferenc, Lorenzo Martini, Ieva Rauluseviciute, et al.
The Science of the Total Environment|March 19, 2021
The morphological response of the Tegnas alpine catchment (Northeast Italy) to a Large Infrequent DisturbanceGiacomo Pellegrini, Lorenzo Martini, Marco Cavalli, et al.
Annali Italiani Di Chirurgia|January 15, 2026
Intraluminal Gastric Band Migration Causing Small Bowel OcclusionAngelo Iossa, Lorenzo Martini, Francesco De Angelis, et al.
The Science of the Total Environment|May 4, 2020
Assessing the effect of fire severity on sediment connectivity in central ChileLorenzo Martini, Lorenzo Faes, Lorenzo Picco, et al.
Computers in Biology and Medicine|December 6, 2023
Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability statesLorenzo Martini, Gianluca Amprimo, Stefano Di Carlo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Spike Train Scalograms (STS): a Deep Learning Classification Pipeline for Neuronal Cell TypesGianluca Amprimo, Lorenzo Martini, Begum Bilir, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
The Science of the Total Environment|September 22, 2019
Sediment connectivity changes in an Andean catchment affected by volcanic eruptionLorenzo Martini, Lorenzo Picco, Andrés Iroumé, et al.
The Science of the Total Environment|April 27, 2023
Modeling landslide activity and sediment connectivity after eruptions: Insights from the Blanco River (Chile)Alberto Paredes, Lorenzo Martini, Andrés Iroumé, et al.
Genes|March 28, 2024
Cross-Omic Transcription Factor Analysis: An Insight on Transcription Factor Accessibility and Expression CorrelationLorenzo Martini, Roberta Bardini, Alessandro Savino, et al.
Genes|January 21, 2023
GAGAM v1.2: An Improvement on Peak Labeling and Genomic Annotated Gene Activity Matrix ConstructionLorenzo Martini, Roberta Bardini, Alessandro Savino, et al.
Bioinformatics (Oxford, England)|January 20, 2026
inMOTIFin: a lightweight end-to-end simulation software for regulatory sequencesKatalin Ferenc, Lorenzo Martini, Ieva Rauluseviciute, et al.
The Science of the Total Environment|March 19, 2021
The morphological response of the Tegnas alpine catchment (Northeast Italy) to a Large Infrequent DisturbanceGiacomo Pellegrini, Lorenzo Martini, Marco Cavalli, et al.
Annali Italiani Di Chirurgia|January 15, 2026
Intraluminal Gastric Band Migration Causing Small Bowel OcclusionAngelo Iossa, Lorenzo Martini, Francesco De Angelis, et al.
The Science of the Total Environment|May 4, 2020
Assessing the effect of fire severity on sediment connectivity in central ChileLorenzo Martini, Lorenzo Faes, Lorenzo Picco, et al.
Computers in Biology and Medicine|December 6, 2023
Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability statesLorenzo Martini, Gianluca Amprimo, Stefano Di Carlo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Spike Train Scalograms (STS): a Deep Learning Classification Pipeline for Neuronal Cell TypesGianluca Amprimo, Lorenzo Martini, Begum Bilir, et al.
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