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检索条件"作者=Sabrina Gatti"
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A LIM Domain Protein from Tobacco Involved in Actin-Bundling and Histone Gene Transcription
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Molecular Plant 2013年 第2期6卷 483-502页
作者: Danièle Moes sabrina gatti CEline Hoffmann Monika Dieterle Flora Moreau Katrin Neumann Marc Schumacher Marc Diederich Erwin Grill Wen-Hui Shen André Steinmetz Cldment Thomas Centre de Recherche Public-SantE 84 Val Fleuri L-1526 Luxembourg Luxembourg Laboratoire de Biologie Moleculaire et Cellulaire du Cancer HSpital Kirchberg 9 rue Edward Steichen L-2540 Luxembourg Luxembourg Lehrstuhl for Botanik Technische Universitat Munchen EmiI-Ramann-StraBe 4 D-85354 Freising Germany Jnstitut de Biologie Moleculaire des Plantes du CNRS 12 rue du Général Zimmer F-67084 Strasbourg Ceédex France
The two LIM domain-containing proteins from plants (LIMs) typically exhibit a dual cytoplasmic-nuclear dis-tribution, suggesting that, in addition to their previously described roles in actin cytoskeleton organizati... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Three-dimensional automatic artificial intelligence driven augmented-reality selective biopsy during nerve-sparing robot-assisted radical prostatectomy:A feasibility and accuracy study
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Asian Journal of Urology 2023年 第4期10卷 407-415页
作者: Enrico Checcucci Alberto Piana Gabriele Volpi Pietro Piazzolla Daniele Amparore sabrina De Cillis Federico Piramide Cecilia gatti Ilaria Stura Enrico Bollito Federica Massa Michele Di Dio Cristian Fiori Francesco Porpiglia Department of Surgery Candiolo Cancer InstituteFPO-IRCCSCandioloTurinItaly Department of Oncology Division of UrologyUniversity of TurinSan Luigi Gonzaga HospitalOrbassanoToItaly Department of Mechanical Engineering Politecnico di MilanoMilanItaly Department of Public Health and Pediatric Sciences School of MedicineUniversity of TurinItaly Department of Pathology San Luigi Gonzaga HospitalUniversity of TurinOrbassanoItaly SS Annunziata Hospital Department of SurgeryDivision of UrologyCosenzaItaly
Objective:To evaluate the accuracy of our new three-dimensional(3D)automatic augmented reality(AAR)system guided by artificial intelligence in the identification of tumour’s location at the level of the preserved neu... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论