Focal-TSMP: Deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation
MH Shams Eddin, J Gall - EGUsphere, 2023 - egusphere.copernicus.org
In this study, we investigate applying deep learning (DL) models on a regional climate
simulation produced by the Terrestrial Systems Modelling Platform (TSMP Ground to …
simulation produced by the Terrestrial Systems Modelling Platform (TSMP Ground to …
Focal-TSMP: deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation
MH Shams Eddin, J Gall - Geoscientific Model Development, 2024 - gmd.copernicus.org
Satellite-derived agricultural drought indices can provide a complementary perspective of
terrestrial vegetation trends. In addition, their integration for drought assessments under …
terrestrial vegetation trends. In addition, their integration for drought assessments under …
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation
Recent rising interests in patient-specific thoracic surgical planning and simulation require
efficient and robust creation of digital anatomical models from automatic medical image …
efficient and robust creation of digital anatomical models from automatic medical image …
CT-based Anatomical Segmentation for Thoracic Surgical Planning: A Benchmark Study for 3D U-shaped Deep Learning Models
Recent rising interests in patient-specific thoracic surgical planning and simulation require
efficient and robust creation of digital anatomical models from automatic medical image …
efficient and robust creation of digital anatomical models from automatic medical image …