Výsledky vyhledávání - "Maurizio Abbate"

Akademický článek

The destruction of cytoplasmic skeleton leads to the change of nuclear structure and the looseness of lamin A submicroscopic network

Autor: Zhenyu Yang, Xianglong Liu, Xiaoliang Li, Maurizio Abbate, Han Rui, Miao Guan, Zhenglong Sun

Publikováno v: Heliyon, Vol 10, Iss 18, Pp e36583- (2024)

The interaction between lamin A and the cytoplasmic skeleton plays a key role in maintaining nuclear mechanical properties. However, the effect of destruction of the cytoplasmic skeleton on the 3D submicroscopic structure of lamin A has not been eluc

Externí odkaz: https://doaj.org/article/cd752fa8d4d348209812b6308f10ae54

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Are there preoperative factors associated with negative long-term results after standard lumbar microdiscectomy? A retrospective study of 97 cases at 5 years follow-up

Autor: Marco MURATORE, Angela CONIGLIO, Andrea FERRERA, Simona LEGRENZI, Claudio GUIDOTTI, Paola BERCHIALLA, Maurizio ABBATE, Paolo VIGLIERCHIO, Alessandro BISTOLFI

Publikováno v: Minerva Orthopedics. 73

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07b199ed91dea67df1f11f421055d16d
https://doi.org/10.23736/s2784-8469.22.04237-7

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Combining immunofluorescence with in situ proximity ligation assay: a novel imaging approach to monitor protein-protein interactions in relation to subcellular localization

Autor: Anna Maria Chiarini, Raffaella Pacchiana, Ubaldo Armato, Maurizio Abbate, Ilaria Pierpaola Dal Prà

Publikováno v: Histochemistry and cell biology. 142(5)

The in situ Proximity Ligation Assay (PLA) is suited for visualizing protein–protein interactions and post-translational protein modifications in both tissue sections and in vitro cell cultures. Accurate identification and quantification of protein

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da0c7bde6f7e4b4430d67ebc06bb5264
https://pubmed.ncbi.nlm.nih.gov/25011391

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SAR Image Classification Through Information-Theoretic Textural Features, MRF Segmentation, and Object-Oriented Learning Vector Quantization

Autor: Ciro D'Elia, Simona Ruscino, Bruno Aiazzi, Maurizio Abbate, Stefano Baronti, Luciano Alparone

Publikováno v: IEEE journal of selected topics in applied earth observations and remote sensing (Online) 7 (2014): 1116–1126. doi:10.1109/JSTARS.2014.2304700
info:cnr-pdr/source/autori:D'Elia C.; Ruscino S.; Abbate M.; Aiazzi B.; Baronti S.; Alparone L./titolo:SAR image classification through information-theoretic textural features, MRF segmentation, and object-oriented learning vector quantization/doi:10.1109%2FJSTARS.2014.2304700/rivista:IEEE journal of selected topics in applied earth observations and remote sensing (Online)/anno:2014/pagina_da:1116/pagina_a:1126/intervallo_pagine:1116–1126/volume:7

Segmentation of optical images may be obtained through algorithms based on image prior models that exploit the spatial dependencies of land covers. In synthetic aperture radar (SAR) images, speckle conceals such spatial dependencies and segmentation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a08695fa40fb2b0fcfdf638fd89a17de
http://hdl.handle.net/11580/36697

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A Low Complexity Motion Segmentation Based on Semantic Representation of Encoded Video Streams

Autor: Paola Mariano, Maurizio Abbate, Ciro D'Elia

Publikováno v: Image Analysis and Processing – ICIAP 2011 ISBN: 9783642240874
ICIAP (2)

Video streaming is characterized by a deep heterogeneity due to the availability of many different video standards such as H.262, H.263, MPEG-4/H.264, H.261 and others. In this situation two approaches to motion segmentation are possible: the first n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6263574a572009ae679f6b14496b58d7
https://doi.org/10.1007/978-3-642-24088-1_22

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Multiresolution despeckling of VHR SAR images based on MRF segmentation

Autor: Luciano Alparone, Maurizio Abbate, Paola Mariano, Ciro D'Elia, Fabrizio Argenti, A. Meta, Tiziano Bianchi

Publikováno v: IGARSS

In this work, maximum a posteriori (MAP) despeckling, implemented in the multiresolution domain defined by the undecimated discrete wavelet transform (UDWT), will carried out on very high resolution (VHR) SAR images and compared with earlier multires

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8115fc5d2007b6263817b4cf0d27fd97
http://hdl.handle.net/11583/2505945

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