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Improving the temporal and spatial resolution of water level time series over Po River (Italy) obtained by multi-mission satellite altimetry

M. Tourian, T. Qin, A. Tarpanelli, L. Brocca, T. Moramarco, und N. Sneeuw. (2014)

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L. Ahlgrimm

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, und B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, und T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Univ. -Prof. Dr. Remco Ingmar Leine University of Stuttgart

Dr. -Ing. Bernhardt Lüddecke University of Stuttgart

Weitere Publikationen von Autoren mit dem selben Namen

River discharge estimation along the Po river from densified water level time series of multi-mission satellite altimetry spatially and temporallyM. Tourian, A. Tarpanelli, O. Elmi, T. Qin, L. Brocca, T. Moramarco, und N. Sneeuw. (2015)The Benefit of Multi-Mission Altimetry Series for the Calibration of Hydraulic ModelsA. Domeneghetti, A. Tarpanelli, M. Tourian, L. Brocca, T. Moramarco, A. Castellarin, und N. Sneeuw. (2016)Total runoff estimation from satellite data: STREAM projectS. Camici, L. Brocca, Massari, C, G. Giuliani, N. Sneeuw, H. Hashemi Farahani, M. Restano, und J. Benveniste. (2019)Total runoff estimation through the exploitation of multiple satellite data: STREAM projectS. Camici, L. Brocca, C. Massari, G. Giuliani, N. Sneeuw, H. Hashemi Farahani, und J. Benveniste. (2019)Hydraulic model calibration by using satellite altimetry: comparison of different productsA. Domeneghetti, A. Tarpanelli, M. Tourian, L. Brocca, T. Moramarco, A. Castellarin, und N. Sneeuw. (2015)Improving the temporal and spatial resolution of water level time series over Po River (Italy) obtained by multi-mission satellite altimetryM. Tourian, T. Qin, A. Tarpanelli, L. Brocca, T. Moramarco, und N. Sneeuw. (2014)A satellite-based approach for total runoff estimation: stream projectS. Camici, L. Brocca, Massari, C, G. Giuliani, N. Sneeuw, H. Hashemi Farahani, M. Restano, und J. Benveniste. (2019)Spatiotemporal densification of river water level time series by multimission satellite altimetryM. Tourian, A. Tarpanelli, O. Elmi, T. Qin, L. Brocca, T. Moramarco, und N. Sneeuw. Water resources research, 52 (2): 1140-1159 (2016)