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Publisher Correction: Rates, distribution and implications of postzygotic mosaic mutations in autism spectrum disorder.

Nature neuroscience

Lim ET, Uddin M, De Rubeis S, Chan Y, Kamumbu AS, Zhang X, D'Gama AM, Kim SN, Hill RS, Goldberg AP, Poultney C, Minshew NJ, Kushima I, Aleksic B, Ozaki N, Parellada M, Arango C, Penzol MJ, Carracedo A, Kolevzon A, Hultman CM, Weiss LA, Fromer M, Chiocchetti AG, Freitag CM, Church GM, Scherer SW, Buxbaum JD, Walsh CA.
PMID: 32665711
Nat Neurosci. 2020 Sep;23(9):1176. doi: 10.1038/s41593-020-0681-z.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Lim ET, Uddin M, De Rubeis S, et al. Publisher Correction: Rates, distribution and implications of postzygotic mosaic mutations in autism spectrum disorder. Nat Neurosci. 2020;23(9):1176doi: 10.1038/s41593-020-0681-z.
Lim, E. T., Uddin, M., De Rubeis, S., Chan, Y., Kamumbu, A. S., Zhang, X., D'Gama, A. M., Kim, S. N., Hill, R. S., Goldberg, A. P., Poultney, C., Minshew, N. J., Kushima, I., Aleksic, B., Ozaki, N., Parellada, M., Arango, C., Penzol, M. J., Carracedo, A., Kolevzon, A., Hultman, C. M., Weiss, L. A., Fromer, M., Chiocchetti, A. G., Freitag, C. M., Church, G. M., Scherer, S. W., Buxbaum, J. D., & Walsh, C. A. (2020). Publisher Correction: Rates, distribution and implications of postzygotic mosaic mutations in autism spectrum disorder. Nature neuroscience, 23(9), 1176. https://doi.org/10.1038/s41593-020-0681-z
Lim, Elaine T, et al. "Publisher Correction: Rates, distribution and implications of postzygotic mosaic mutations in autism spectrum disorder." Nature neuroscience vol. 23,9 (2020): 1176. doi: https://doi.org/10.1038/s41593-020-0681-z
Lim ET, Uddin M, De Rubeis S, Chan Y, Kamumbu AS, Zhang X, D'Gama AM, Kim SN, Hill RS, Goldberg AP, Poultney C, Minshew NJ, Kushima I, Aleksic B, Ozaki N, Parellada M, Arango C, Penzol MJ, Carracedo A, Kolevzon A, Hultman CM, Weiss LA, Fromer M, Chiocchetti AG, Freitag CM, Church GM, Scherer SW, Buxbaum JD, Walsh CA. Publisher Correction: Rates, distribution and implications of postzygotic mosaic mutations in autism spectrum disorder. Nat Neurosci. 2020 Sep;23(9):1176. doi: 10.1038/s41593-020-0681-z. PMID: 32665711.
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In Vivo Comparison of Micro-Balloon Interventions (MBI) Advantage: A Retrospective Cohort Study of DEB-TACE Versus b-TACE and of SIRT Versus b-SIRT.

Cardiovascular and interventional radiology

Lucatelli P, De Rubeis G, Trobiani C, Ungania S, Rocco B, De Gyurgyokai SZ, Masi M, Pecorella I, Cappelli F, Lai Q, Catalano C, Vallati G.
PMID: 35037086
Cardiovasc Intervent Radiol. 2022 Jan 17; doi: 10.1007/s00270-021-03035-5. Epub 2022 Jan 17.

PURPOSE: The purpose of this study was to evaluate in vivo the role of the micro-balloon by comparing trans-arterial chemoembolization (DEB-TACE) and selective internal radiotherapy (SIRT) procedures performed with and without balloon micro-catheter (b-DEB-TACE and DEB-TACE/SIRT and b-SIRT) for...

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Lucatelli P, De Rubeis G, Trobiani C, et al. In Vivo Comparison of Micro-Balloon Interventions (MBI) Advantage: A Retrospective Cohort Study of DEB-TACE Versus b-TACE and of SIRT Versus b-SIRT. Cardiovasc Intervent Radiol. 2022;doi: 10.1007/s00270-021-03035-5.
Lucatelli, P., De Rubeis, G., Trobiani, C., Ungania, S., Rocco, B., De Gyurgyokai, S. Z., Masi, M., Pecorella, I., Cappelli, F., Lai, Q., Catalano, C., & Vallati, G. (2022). In Vivo Comparison of Micro-Balloon Interventions (MBI) Advantage: A Retrospective Cohort Study of DEB-TACE Versus b-TACE and of SIRT Versus b-SIRT. Cardiovascular and interventional radiology, . https://doi.org/10.1007/s00270-021-03035-5
Lucatelli, Pierleone, et al. "In Vivo Comparison of Micro-Balloon Interventions (MBI) Advantage: A Retrospective Cohort Study of DEB-TACE Versus b-TACE and of SIRT Versus b-SIRT." Cardiovascular and interventional radiology vol. (2022). doi: https://doi.org/10.1007/s00270-021-03035-5
Lucatelli P, De Rubeis G, Trobiani C, Ungania S, Rocco B, De Gyurgyokai SZ, Masi M, Pecorella I, Cappelli F, Lai Q, Catalano C, Vallati G. In Vivo Comparison of Micro-Balloon Interventions (MBI) Advantage: A Retrospective Cohort Study of DEB-TACE Versus b-TACE and of SIRT Versus b-SIRT. Cardiovasc Intervent Radiol. 2022 Jan 17; doi: 10.1007/s00270-021-03035-5. Epub 2022 Jan 17. PMID: 35037086.
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Latent class analysis of obesity-related characteristics and associations with body mass index among young children.

Obesity science & practice

Anderson LN, Sandhu R, Keown-Stoneman CDG, De Rubeis V, Borkhoff CM, Carsley S, Maguire JL, Birken CS.
PMID: 32874674
Obes Sci Pract. 2020 Apr 07;6(4):390-400. doi: 10.1002/osp4.414. eCollection 2020 Aug.

OBJECTIVE: Identifying how obesity-related characteristics cluster in populations is important to understand disease risk. Objectives of this study were to identify classes of children based on obesity-related variables and to evaluate the associations between the identified classes and overweight...

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Anderson LN, Sandhu R, Keown-Stoneman CDG, et al. Latent class analysis of obesity-related characteristics and associations with body mass index among young children. Obes Sci Pract. 2020;6(4):390-400doi: 10.1002/osp4.414.
Anderson, L. N., Sandhu, R., Keown-Stoneman, C. D. G., De Rubeis, V., Borkhoff, C. M., Carsley, S., Maguire, J. L., & Birken, C. S. (2020). Latent class analysis of obesity-related characteristics and associations with body mass index among young children. Obesity science & practice, 6(4), 390-400. https://doi.org/10.1002/osp4.414
Anderson, Laura N, et al. "Latent class analysis of obesity-related characteristics and associations with body mass index among young children." Obesity science & practice vol. 6,4 (2020): 390-400. doi: https://doi.org/10.1002/osp4.414
Anderson LN, Sandhu R, Keown-Stoneman CDG, De Rubeis V, Borkhoff CM, Carsley S, Maguire JL, Birken CS. Latent class analysis of obesity-related characteristics and associations with body mass index among young children. Obes Sci Pract. 2020 Apr 07;6(4):390-400. doi: 10.1002/osp4.414. eCollection 2020 Aug. PMID: 32874674; PMCID: PMC7448165.
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Inferring the depth of pre-instrumental earthquakes from macroseismic intensity data: a case-history from Northern Italy.

Scientific reports

Sbarra P, Burrato P, Tosi P, Vannoli P, De Rubeis V, Valensise G.
PMID: 31666576
Sci Rep. 2019 Oct 30;9(1):15583. doi: 10.1038/s41598-019-51966-4.

Determining the hypocentral depth of pre-instrumental earthquakes is a long-standing geophysical issue that still awaits to be elucidated. Using very well documented recent earthquakes we found that the depth of crustal and upper-mantle events correlates well with the slope...

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Sbarra P, Burrato P, Tosi P, et al. Inferring the depth of pre-instrumental earthquakes from macroseismic intensity data: a case-history from Northern Italy. Sci Rep. 2019;9(1):15583doi: 10.1038/s41598-019-51966-4.
Sbarra, P., Burrato, P., Tosi, P., Vannoli, P., De Rubeis, V., & Valensise, G. (2019). Inferring the depth of pre-instrumental earthquakes from macroseismic intensity data: a case-history from Northern Italy. Scientific reports, 9(1), 15583. https://doi.org/10.1038/s41598-019-51966-4
Sbarra, Paola, et al. "Inferring the depth of pre-instrumental earthquakes from macroseismic intensity data: a case-history from Northern Italy." Scientific reports vol. 9,1 (2019): 15583. doi: https://doi.org/10.1038/s41598-019-51966-4
Sbarra P, Burrato P, Tosi P, Vannoli P, De Rubeis V, Valensise G. Inferring the depth of pre-instrumental earthquakes from macroseismic intensity data: a case-history from Northern Italy. Sci Rep. 2019 Oct 30;9(1):15583. doi: 10.1038/s41598-019-51966-4. PMID: 31666576; PMCID: PMC6821853.
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Regulation of molecular pathways in the Fragile X Syndrome: insights into Autism Spectrum Disorders.

Journal of neurodevelopmental disorders

De Rubeis S, Bagni C.
PMID: 21842222
J Neurodev Disord. 2011 Sep;3(3):257-69. doi: 10.1007/s11689-011-9087-2. Epub 2011 Aug 13.

The Fragile X syndrome (FXS) is a leading cause of intellectual disability (ID) and autism. The disease is caused by mutations or loss of the Fragile X Mental Retardation Protein (FMRP), an RNA-binding protein playing multiple functions in RNA...

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De Rubeis S, Bagni C. Regulation of molecular pathways in the Fragile X Syndrome: insights into Autism Spectrum Disorders. J Neurodev Disord. 2011;3(3):257-69doi: 10.1007/s11689-011-9087-2.
De Rubeis, S., & Bagni, C. (2011). Regulation of molecular pathways in the Fragile X Syndrome: insights into Autism Spectrum Disorders. Journal of neurodevelopmental disorders, 3(3), 257-69. https://doi.org/10.1007/s11689-011-9087-2
De Rubeis, Silvia, and Bagni, Claudia. "Regulation of molecular pathways in the Fragile X Syndrome: insights into Autism Spectrum Disorders." Journal of neurodevelopmental disorders vol. 3,3 (2011): 257-69. doi: https://doi.org/10.1007/s11689-011-9087-2
De Rubeis S, Bagni C. Regulation of molecular pathways in the Fragile X Syndrome: insights into Autism Spectrum Disorders. J Neurodev Disord. 2011 Sep;3(3):257-69. doi: 10.1007/s11689-011-9087-2. Epub 2011 Aug 13. PMID: 21842222; PMCID: PMC3167042.
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The promise of machine learning in predicting treatment outcomes in psychiatry.

World psychiatry : official journal of the World Psychiatric Association (WPA)

Chekroud AM, Bondar J, Delgadillo J, Doherty G, Wasil A, Fokkema M, Cohen Z, Belgrave D, DeRubeis R, Iniesta R, Dwyer D, Choi K.
PMID: 34002503
World Psychiatry. 2021 Jun;20(2):154-170. doi: 10.1002/wps.20882.

For many years, psychiatrists have tried to understand factors involved in response to medications or psychotherapies, in order to personalize their treatment choices. There is now a broad and growing interest in the idea that we can develop models...

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Chekroud AM, Bondar J, Delgadillo J, et al. The promise of machine learning in predicting treatment outcomes in psychiatry. World Psychiatry. 2021;20(2):154-170doi: 10.1002/wps.20882.
Chekroud, A. M., Bondar, J., Delgadillo, J., Doherty, G., Wasil, A., Fokkema, M., Cohen, Z., Belgrave, D., DeRubeis, R., Iniesta, R., Dwyer, D., & Choi, K. (2021). The promise of machine learning in predicting treatment outcomes in psychiatry. World psychiatry : official journal of the World Psychiatric Association (WPA), 20(2), 154-170. https://doi.org/10.1002/wps.20882
Chekroud, Adam M, et al. "The promise of machine learning in predicting treatment outcomes in psychiatry." World psychiatry : official journal of the World Psychiatric Association (WPA) vol. 20,2 (2021): 154-170. doi: https://doi.org/10.1002/wps.20882
Chekroud AM, Bondar J, Delgadillo J, Doherty G, Wasil A, Fokkema M, Cohen Z, Belgrave D, DeRubeis R, Iniesta R, Dwyer D, Choi K. The promise of machine learning in predicting treatment outcomes in psychiatry. World Psychiatry. 2021 Jun;20(2):154-170. doi: 10.1002/wps.20882. PMID: 34002503; PMCID: PMC8129866.
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The association between late preterm birth and cardiometabolic conditions across the life course: A systematic review and meta-analysis.

Paediatric and perinatal epidemiology

Yoshida-Montezuma Y, Stone E, Iftikhar S, De Rubeis V, Andreacchi AT, Keown-Stoneman C, Mbuagbaw L, Brown HK, de Souza RJ, Anderson LN.
PMID: 34806197
Paediatr Perinat Epidemiol. 2021 Nov 22; doi: 10.1111/ppe.12831. Epub 2021 Nov 22.

BACKGROUND: The effect of being born late preterm (34-36 weeks gestation) on cardiometabolic outcomes across the life course is unclear.OBJECTIVES: To systematically review the association between being born late preterm (spontaneous or indicated), compared to the term and cardiometabolic...

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Yoshida-Montezuma Y, Stone E, Iftikhar S, et al. The association between late preterm birth and cardiometabolic conditions across the life course: A systematic review and meta-analysis. Paediatr Perinat Epidemiol. 2021;doi: 10.1111/ppe.12831.
Yoshida-Montezuma, Y., Stone, E., Iftikhar, S., De Rubeis, V., Andreacchi, A. T., Keown-Stoneman, C., Mbuagbaw, L., Brown, H. K., de Souza, R. J., & Anderson, L. N. (2021). The association between late preterm birth and cardiometabolic conditions across the life course: A systematic review and meta-analysis. Paediatric and perinatal epidemiology, . https://doi.org/10.1111/ppe.12831
Yoshida-Montezuma, Yulika, et al. "The association between late preterm birth and cardiometabolic conditions across the life course: A systematic review and meta-analysis." Paediatric and perinatal epidemiology vol. (2021). doi: https://doi.org/10.1111/ppe.12831
Yoshida-Montezuma Y, Stone E, Iftikhar S, De Rubeis V, Andreacchi AT, Keown-Stoneman C, Mbuagbaw L, Brown HK, de Souza RJ, Anderson LN. The association between late preterm birth and cardiometabolic conditions across the life course: A systematic review and meta-analysis. Paediatr Perinat Epidemiol. 2021 Nov 22; doi: 10.1111/ppe.12831. Epub 2021 Nov 22. PMID: 34806197.
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The Potential of Optical Profilometry in the Study of Cultural Stone Weathering.

Journal of imaging

Ambrosini D, de Rubeis T, Nardi I, Paoletti D.
PMID: 34460498
J Imaging. 2019 Jun 16;5(6). doi: 10.3390/jimaging5060060.

The problem of deterioration of marble or stone monuments on display in the open air was raised in scientific terms around the mid-nineteenth century, correctly sensing the close dependence between the increased speed of surfaces alteration and air pollution....

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Ambrosini D, de Rubeis T, Nardi I, et al. The Potential of Optical Profilometry in the Study of Cultural Stone Weathering. J Imaging. 2019;5(6)doi: 10.3390/jimaging5060060.
Ambrosini, D., de Rubeis, T., Nardi, I., & Paoletti, D. (2019). The Potential of Optical Profilometry in the Study of Cultural Stone Weathering. Journal of imaging, 5(6), . https://doi.org/10.3390/jimaging5060060
Ambrosini, Dario, et al. "The Potential of Optical Profilometry in the Study of Cultural Stone Weathering." Journal of imaging vol. 5,6 (2019). doi: https://doi.org/10.3390/jimaging5060060
Ambrosini D, de Rubeis T, Nardi I, Paoletti D. The Potential of Optical Profilometry in the Study of Cultural Stone Weathering. J Imaging. 2019 Jun 16;5(6). doi: 10.3390/jimaging5060060. PMID: 34460498; PMCID: PMC8320955.
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Structural Health Monitoring: An IoT Sensor System for Structural Damage Indicator Evaluation.

Sensors (Basel, Switzerland)

Muttillo M, Stornelli V, Alaggio R, Paolucci R, Di Battista L, de Rubeis T, Ferri G.
PMID: 32877996
Sensors (Basel). 2020 Aug 31;20(17). doi: 10.3390/s20174908.

In the last decades, the applications of structural monitoring are moving toward the field of civil engineering and infrastructures. Nevertheless, if the structures have damages, it does not mean that they have a complete loss of functionality, but rather...

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Muttillo M, Stornelli V, Alaggio R, et al. Structural Health Monitoring: An IoT Sensor System for Structural Damage Indicator Evaluation. Sensors (Basel). 2020;20(17)doi: 10.3390/s20174908.
Muttillo, M., Stornelli, V., Alaggio, R., Paolucci, R., Di Battista, L., de Rubeis, T., & Ferri, G. (2020). Structural Health Monitoring: An IoT Sensor System for Structural Damage Indicator Evaluation. Sensors (Basel, Switzerland), 20(17), . https://doi.org/10.3390/s20174908
Muttillo, Mirco, et al. "Structural Health Monitoring: An IoT Sensor System for Structural Damage Indicator Evaluation." Sensors (Basel, Switzerland) vol. 20,17 (2020). doi: https://doi.org/10.3390/s20174908
Muttillo M, Stornelli V, Alaggio R, Paolucci R, Di Battista L, de Rubeis T, Ferri G. Structural Health Monitoring: An IoT Sensor System for Structural Damage Indicator Evaluation. Sensors (Basel). 2020 Aug 31;20(17). doi: 10.3390/s20174908. PMID: 32877996; PMCID: PMC7506883.
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Functional analysis of .

Journal of medical genetics

Pavinato L, Villamor-Payà M, Sanchiz-Calvo M, Andreoli C, Gay M, Vilaseca M, Arauz-Garofalo G, Ciolfi A, Bruselles A, Pippucci T, Prota V, Carli D, Giorgio E, Radio FC, Antona V, Giuffrè M, Ranguin K, Colson C, De Rubeis S, Dimartino P, Buxbaum JD, Ferrero GB, Tartaglia M, Martinelli S, Stracker TH, Brusco A.
PMID: 33323470
J Med Genet. 2020 Dec 15; doi: 10.1136/jmedgenet-2020-107281. Epub 2020 Dec 15.

INTRODUCTION: The Tousled-like kinases 1 and 2 (TLK1 and TLK2) are involved in many fundamental processes, including DNA replication, cell cycle checkpoint recovery and chromatin remodelling. Mutations in METHODS: We re-evaluate whole exome sequencing and array-CGH data from a...

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Pavinato L, Villamor-Payà M, Sanchiz-Calvo M, et al. Functional analysis of . J Med Genet. 2020;doi: 10.1136/jmedgenet-2020-107281.
Pavinato, L., Villamor-Payà, M., Sanchiz-Calvo, M., Andreoli, C., Gay, M., Vilaseca, M., Arauz-Garofalo, G., Ciolfi, A., Bruselles, A., Pippucci, T., Prota, V., Carli, D., Giorgio, E., Radio, F. C., Antona, V., Giuffrè, M., Ranguin, K., Colson, C., De Rubeis, S., Dimartino, P., Buxbaum, J. D., Ferrero, G. B., Tartaglia, M., Martinelli, S., Stracker, T. H., & Brusco, A. (2020). Functional analysis of . Journal of medical genetics, . https://doi.org/10.1136/jmedgenet-2020-107281
Pavinato, Lisa, et al. "Functional analysis of ." Journal of medical genetics vol. (2020). doi: https://doi.org/10.1136/jmedgenet-2020-107281
Pavinato L, Villamor-Payà M, Sanchiz-Calvo M, Andreoli C, Gay M, Vilaseca M, Arauz-Garofalo G, Ciolfi A, Bruselles A, Pippucci T, Prota V, Carli D, Giorgio E, Radio FC, Antona V, Giuffrè M, Ranguin K, Colson C, De Rubeis S, Dimartino P, Buxbaum JD, Ferrero GB, Tartaglia M, Martinelli S, Stracker TH, Brusco A. Functional analysis of . J Med Genet. 2020 Dec 15; doi: 10.1136/jmedgenet-2020-107281. Epub 2020 Dec 15. PMID: 33323470.
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How rare and common risk variation jointly affect liability for autism spectrum disorder.

Molecular autism

Klei L, McClain LL, Mahjani B, Panayidou K, De Rubeis S, Grahnat AS, Karlsson G, Lu Y, Melhem N, Xu X, Reichenberg A, Sandin S, Hultman CM, Buxbaum JD, Roeder K, Devlin B.
PMID: 34615521
Mol Autism. 2021 Oct 06;12(1):66. doi: 10.1186/s13229-021-00466-2.

BACKGROUND: Genetic studies have implicated rare and common variations in liability for autism spectrum disorder (ASD). Of the discovered risk variants, those rare in the population invariably have large impact on liability, while common variants have small effects. Yet,...

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Klei L, McClain LL, Mahjani B, et al. How rare and common risk variation jointly affect liability for autism spectrum disorder. Mol Autism. 2021;12(1):66doi: 10.1186/s13229-021-00466-2.
Klei, L., McClain, L. L., Mahjani, B., Panayidou, K., De Rubeis, S., Grahnat, A. S., Karlsson, G., Lu, Y., Melhem, N., Xu, X., Reichenberg, A., Sandin, S., Hultman, C. M., Buxbaum, J. D., Roeder, K., & Devlin, B. (2021). How rare and common risk variation jointly affect liability for autism spectrum disorder. Molecular autism, 12(1), 66. https://doi.org/10.1186/s13229-021-00466-2
Klei, Lambertus, et al. "How rare and common risk variation jointly affect liability for autism spectrum disorder." Molecular autism vol. 12,1 (2021): 66. doi: https://doi.org/10.1186/s13229-021-00466-2
Klei L, McClain LL, Mahjani B, Panayidou K, De Rubeis S, Grahnat AS, Karlsson G, Lu Y, Melhem N, Xu X, Reichenberg A, Sandin S, Hultman CM, Buxbaum JD, Roeder K, Devlin B. How rare and common risk variation jointly affect liability for autism spectrum disorder. Mol Autism. 2021 Oct 06;12(1):66. doi: 10.1186/s13229-021-00466-2. PMID: 34615521; PMCID: PMC8495987.
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A Cost-Effective System for Aerial 3D Thermography of Buildings.

Journal of imaging

Daffara C, Muradore R, Piccinelli N, Gaburro N, de Rubeis T, Ambrosini D.
PMID: 34460691
J Imaging. 2020 Aug 02;6(8). doi: 10.3390/jimaging6080076.

Three-dimensional (3D) imaging and infrared (IR) thermography are powerful tools in many areas in engineering and sciences. Their joint use is of great interest in the buildings sector, allowing inspection and non-destructive testing of elements as well as an...

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Daffara C, Muradore R, Piccinelli N, et al. A Cost-Effective System for Aerial 3D Thermography of Buildings. J Imaging. 2020;6(8)doi: 10.3390/jimaging6080076.
Daffara, C., Muradore, R., Piccinelli, N., Gaburro, N., de Rubeis, T., & Ambrosini, D. (2020). A Cost-Effective System for Aerial 3D Thermography of Buildings. Journal of imaging, 6(8), . https://doi.org/10.3390/jimaging6080076
Daffara, Claudia, et al. "A Cost-Effective System for Aerial 3D Thermography of Buildings." Journal of imaging vol. 6,8 (2020). doi: https://doi.org/10.3390/jimaging6080076
Daffara C, Muradore R, Piccinelli N, Gaburro N, de Rubeis T, Ambrosini D. A Cost-Effective System for Aerial 3D Thermography of Buildings. J Imaging. 2020 Aug 02;6(8). doi: 10.3390/jimaging6080076. PMID: 34460691; PMCID: PMC8321062.
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Showing 1 to 12 of 26 entries