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Correlating Remote Sensing Data with the Abundance of Pupae of the Dengue Virus Mosquito Vector, Aedes aegypti, in Central Mexico.

M. Moreno-Madriñán, W. Crosson, L. Eisen, S. Estes, M. Jr., M. Hayden, S. Hemmings, D. Irwin, S. Lozano-Fuentes, A. Monaghan, D. Quattrochi, C. Welsh-Rodriguez, und E. Zielinski-Gutierrez. ISPRS Int. J. Geo-Information, 3 (2): 732-749 (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

Christian León University of Stuttgart

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Impacts of Spatial Scaling Errors on Soil Moisture Retrieval Accuracy at L-Band.W. Crosson, A. Limaye, und C. Laymon. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 3 (1): 67-80 (2010)Surface Heterogeneity Issues in Remote Sensing of Soil Moisture.W. Crosson, A. Limaye, und C. Laymon. IGARSS (3), Seite 234-237. IEEE, (2008)Parameter sensitivity of soil moisture retrievals from airborne C- and X-band radiometer measurements in SMEX02.W. Crosson, A. Limaye, und C. Laymon. IEEE Trans. Geoscience and Remote Sensing, 43 (12): 2842-2853 (2005)Comparison of two microwave radiobrightness models and validation with field measurements.W. Crosson, C. Laymon, R. Inguva, und C. Bowman. IEEE Trans. Geoscience and Remote Sensing, 40 (1): 143-152 (2002)A growing season land surface process/radiobrightness model for wheat-stubble in the Southern Great Plains.J. Judge, A. England, W. Crosson, C. Laymon, B. Hornbuckle, D. Boprie, E. Kim, und Y. Liou. IEEE Trans. Geoscience and Remote Sensing, 37 (5): 2152-2158 (1999)Ground-based passive microwave remote sensing observations of soil moisture at S-band and L-band with insight into measurement accuracy.C. Laymon, W. Crosson, T. Jackson, A. Manu, und T. Tsegaye. IEEE Trans. Geoscience and Remote Sensing, 39 (9): 1844-1858 (2001)Assimilation of remote sensing data in a hydrologic model to improve estimates of spatially distributed soil moisture.W. Crosson, C. Laymon, A. Limaye, W. Khairy, M. Schamschula, T. Coleman, und R. Inguva. IGARSS, Seite 1168-1170. IEEE, (2002)Assimilation of SMOS Retrievals in the Land Information System.C. Blankenship, J. Case, B. Zavodsky, und W. Crosson. IEEE Trans. Geoscience and Remote Sensing, 54 (11): 6320-6332 (2016)Correction of Forcing-Related Spatial Artifacts in a Land Surface Model by Satellite Soil Moisture Data Assimilation.C. Blankenship, J. Case, W. Crosson, und B. Zavodsky. IEEE Geosci. Remote. Sens. Lett., 15 (4): 498-502 (2018)Parameter sensitivity of soil moisture retrievals from airborne L-band radiometer measurements in SMEX02.W. Crosson, A. Limaye, und C. Laymon. IEEE Trans. Geoscience and Remote Sensing, 43 (7): 1517-1528 (2005)