Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Pooran Negi"'
Autor:
Jessica Di Re, Wei-Chun J. Hsu, Cihan B. Kayasandik, Nickolas Fularczyk, T. F. James, Miroslav N. Nenov, Pooran Negi, Mate Marosi, Federico Scala, Saurabh Prasad, Demetrio Labate, Fernanda Laezza
Publikováno v:
Frontiers in Molecular Neuroscience, Vol 14 (2021)
The axon initial segment (AIS) is a highly regulated subcellular domain required for neuronal firing. Changes in the AIS protein composition and distribution are a form of structural plasticity, which powerfully regulates neuronal activity and may un
Externí odkaz:
https://doaj.org/article/c2065099e1604f758c3ff8744faa037f
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0121886 (2015)
Automated identification of the primary components of a neuron and extraction of its sub-cellular features are essential steps in many quantitative studies of neuronal networks. The focus of this paper is the development of an algorithm for the autom
Externí odkaz:
https://doaj.org/article/432a6411e8134f14839aa141cdf895b1
Publikováno v:
IEEE Transactions on Affective Computing. 14:1148-1158
This paper introduces an algorithm for Facial Expression Recognition (FER) using deep Siamese Neural Networks (SNNs) that preserve the local structure of images in the embedding similarity space. We designed the network to reveal the input pairs simi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a48ae0a6be51b394f23b0de8593e866f
https://doi.org/10.1109/taffc.2021.3077248
https://doi.org/10.1109/taffc.2021.3077248
Publikováno v:
IEEE Transactions on Affective Computing. 13:1023-1036
This paper introduces BReG-NeXt, a residual-based network architecture using a function wtih bounded derivative instead of a simple shortcut path (a.k.a. identity mapping) in the residual units for automatic recognition of facial expressions based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8286f064cd53814c4a9ad1df81b7b095
https://doi.org/10.1109/taffc.2020.2986440
https://doi.org/10.1109/taffc.2020.2986440
Publikováno v:
FG
This paper presents a novel algorithm for an end-to-end facial expression recognition(FER) system based on deep Siamese neural networks equipped with a supervised loss function. Our method learns a powerful FER system by dynamically modulating verifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6af677da7b12c110f1392fdc173ec4c4
https://doi.org/10.1109/fg.2019.8756571
https://doi.org/10.1109/fg.2019.8756571
Publikováno v:
FG
Residual-based neural networks have shown remarkable results in various visual recognition tasks including Facial Expression Recognition (FER). Despite the tremendous efforts have been made to improve the performance of FER systems using DNNs, existi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e60827a1064f617438055b02de9cfbfd
http://arxiv.org/abs/1903.02110
http://arxiv.org/abs/1903.02110
Publikováno v:
Neuroinformatics. 14:465-477
The spatial organization of neurites, the thin processes (i.e., dendrites and axons) that stem from a neuron's soma, conveys structural information required for proper brain function. The alignment, direction and overall geometry of neurites in the b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85e35deeadbcbed86ff091481c85efd2
https://doi.org/10.1007/s12021-016-9306-9
https://doi.org/10.1007/s12021-016-9306-9
Automated sorting of neuronal trees in fluorescent images of neuronal networks using NeuroTreeTracer
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Scientific Reports
Scientific Reports
Fluorescence confocal microscopy has become increasingly more important in neuroscience due to its applications in image-based screening and profiling of neurons. Multispectral confocal imaging is useful to simultaneously probe for distribution of mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99b6fb981dc720adb69927d7f7f0a737
https://doi.org/10.1038/s41598-018-24753-w
https://doi.org/10.1038/s41598-018-24753-w
Publikováno v:
Mathematical modelling of natural phenomena. 9(5)
Recent advances in high-resolution fluorescence microscopy have enabled the systematic study of morphological changes in large populations of cells induced by chemical and genetic perturbations, facilitating the discovery of signaling pathways underl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05691d9e0e2ad8e9a7ff7f36eed3028d
https://pubmed.ncbi.nlm.nih.gov/28804225
https://pubmed.ncbi.nlm.nih.gov/28804225
Publikováno v:
Journal of Fourier Analysis and Applications. 19:577-611
The shearlet representation has gained increasingly more prominence in recent years as a flexible and efficient mathematical framework for the analysis of anisotropic phenomena. This is achieved by combining traditional multiscale analysis with a sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84dd107814e4df80df26cba75b8bf21c
https://doi.org/10.1007/s00041-013-9261-x
https://doi.org/10.1007/s00041-013-9261-x