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ASSESSING RESILIENCE OF INFRASTRUCTURES TOWARDS EXOGENOUS EVENTS BY USING PS-INSAR-BASED SURFACE MOTION ESTIMATES AND MACHINE LEARNING REGRESSION TECHNIQUES

Autor: N. Fiorentini, M. Maboudi, M. Losa, M. Gerke

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2020, Pp 19-26 (2020)

Technologically advanced strategies in infrastructural maintenance are increasingly required in countries such as Italy, where recovery and rehabilitation interventions are preferred to new works. For this purpose, Interferometric Synthetic Aperture

Externí odkaz: https://doaj.org/article/174b22d2f7e34b14a7705a0bcbb08051

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Starting point for benchmarking outcomes and reporting of pituitary adenoma surgery within the European Reference Network on Rare Endocrine Conditions (Endo-ERN)

Autor: Amir H Zamanipoor Najafabadi, Merel van der Meulen, Ana Luisa Priego Zurita, S Faisal Ahmed, Wouter R van Furth, Evangelia Charmandari, Olaf Hiort, Alberto M Pereira, Mehul Dattani, Diana Vitali, Johan P de Graaf, Nienke R Biermasz, D Steenvoorden, I Bowring, MM van der Klauw, RA Vergeer, M Losa, P Mortini, W Drake, J Grieve, M Didi, C Mallucci, MG Shaikh, S Hassan, JOL Jorgensen, M Albarazi, S Zaharieva, A. Hadzhiyanev, M Tóth, L Sípos, D Unuane, J D'Haens, U Feldt-Rasmussen, L Poulsgaard, T Brue, H Dufour, J Bertherat, S Gaillard, N Karavitaki, S Ahmed, N Unger, I Kreitschmann-Andermahr, S Gaztambide, I Pomposo, H-W Gan, N Dorward, E Fliers, J Hoogmoed, C Scaroni, L Denaro, A Nordenström, M Olsson, B Zilaitiene, A Tamašauskas, L Persani, G Lasio, D Maiter, C Raftopoulos, V Volke, T Rätsep, P Matarazzo, P Peretta, T Deutschbein, J Perez, S Zucchini, D Mazzatenta, S Grottoli, F Zenga, F Devuyst, O De Witte, F Gatto, D Rossi, K Schilbach, W Rachinger, A Beckers, D Martin, M Al-Mrayat, N Mathad, SJCMM Neggers, AHG Dallenga, J Lebl, M Tichy, MM Reincke, AC van de Ven, E van Lindert, P Kotnik, R Bošnjak, B Biagetti, E Cordero, A Colao, P Cappabianca

Publikováno v: Endocrine connections, Vol. 12, no.1, p. e220349 (2023)
Endocrine Connections, 12(1). BIOSCIENTIFICA LTD
Endocrine Connections, 12(1):e220349. Bioscientifica Ltd

Objective The European Reference Network on Rare Endocrine Conditions (Endo-ERN) aims to organize high-quality healthcare throughout Europe, including care for pituitary adenoma patients. As surgery is the mainstay of treatment, we aimed to describe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71c5cda703fb846d23e0c924b9b87a11
http://www.scopus.com/inward/record.url?scp=85158982183&partnerID=8YFLogxK