The application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries

Autor: Anantrasirichai, N., Biggs, J., Albino, F., Bull, D.

Automated systems for detecting deformation in satellite InSAR imagery could be used to develop a global monitoring system for volcanic and urban environments. Here we explore the limits of a CNN for detecting slow, sustained deformations in wrapped

Externí odkaz: http://arxiv.org/abs/1909.02321

Detecting Volcano Deformation in InSAR using Deep learning

Autor: Anantrasirichai, N., Albino, F., Hill, P., Bull, D., Biggs, J.

Globally 800 million people live within 100 km of a volcano and currently 1500 volcanoes are considered active, but half of these have no ground-based monitoring. Alternatively, satellite radar (InSAR) can be employed to observe volcanic ground defor

Externí odkaz: http://arxiv.org/abs/1803.00380

A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets

Autor: Anantrasirichai, N., Biggs, J., Albino, F., Bull, D.

Publikováno v: In Remote Sensing of Environment 1 September 2019 230

Analyzing Explosive Volcanic Deposits From Satellite-Based Radar Backscatter, Volcán de Fuego, 2018

Autor: Dualeh, EW, Ebmeier, SK, Wright, TJ, Albino, F, Naismith, A, Biggs, J, Ordoñez, PA, Boogher, RM, Roca, A

Satellite radar backscatter has the potential to provide useful information about the progression of volcanic eruptions when optical, ground-based, or radar phase-based measurements are limited. However, backscatter changes are complex and challengin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::dc9788d9e35767f1d4c92ec60d435da5

Does morbid obesity influence perioperative outcomes after video-assisted thoracic surgery (VATS) lobectomy for non-small cell lung cancer? Analysis of the Italian VATS group registry

Autor: Guerrera, F., Lyberis, P., Lausi, P. O., Cristofori, R. C., Giobbe, R., Molinatti, M., Filosso, P. L., Curcio, C., Crisci, R., Ruffini, E., Maurizio, M., Fausto, P., Majed, R., Franco, S., Desideria, A., Giuseppe, M., Angela, D. P., Luigi, B., Giovanna, R., Piergiorgio, S., Giampiero, D., Reinhold, P., Francesco, Z., Roberto, B. M., Diego, G., Roberto, C., Albino, F. P., Felice, M., Pierpaolo, C., Giulio, M., Federico, M., Giorgio, C., Pio, M., Luca, V., Alessandro, G., Francesco, S., Pia, A. N., Luca, P. G., Carlo, R., Corrado, S., Camillo, L., Andrea, D., Michele, G., Cristiano, B., Fabio, L. G., Marco, A., Edoardo, B., Lorenzo, S., Roberto, G., Massimo, T., Alessandro, R., Mario, N., Davide, T., Giampeiro, N., Alessandro, B., Federico, R., Alessandro, S., Pamela, N., Marco, S., Emanuele, P., Carlo, C., Dario, A., Ottavio, R., Samuele, N., Andrea, D. A., Giorgia, T., Luca, A., Paolo, C., Francesco, P., Damiano, V., Giuseppe, C., Francesco, C., Stefano, M., Elisa, M., Piero, P., Marco, G., Duilio, D., Diego, F., Vittorio, D. B., Angelo, M., Francesco, L., Andrea, I., Nicola, R., Alberto, Andrea, V., Maurizio, I.

Publikováno v: Surgical endoscopy. 36(5)

Objectives Obesity in Europe, and worldwide, has been an increasing epidemic during the past decades. Moreover, obesity has important implications regarding technical issues and the risks associated with surgical interventions. Nevertheless, there is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55af77e9edcd94f60ec50fb23bfc8768
https://pubmed.ncbi.nlm.nih.gov/34398283