Papers matching “deep learning training data” 21
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Stain-Independent Segmentation and Quantification of Kidney Histopathology Using Deep Learning2022 Journal of the American Society of Nephrology conference-abstract Computer Science AI in cancer detection
Peter Boor, David Laurin Hölscher, Barbara M. Klinkhammer, Roman David Bülow, Johannes Lotz, Nick Weiss, +3 more
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Integration of Generated Weather Data into LSTM Training to Improve the Simulation of Extreme Flood Events2026 EGU General Assembly Conference Abstracts conference-abstract Environmental Science Hydrological Forecasting Using AI Open access
Paul Reis, Alexander Dölich, Antara Dasgupta, Paul Hassenjürgen, Sergiy Vorogushyn, Nguyễn Viết Dũng, +1 more
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Advancing RemoTAP: A Deep Learning Framework for Predictive Dynamic Quality Assessment in Multi-Angle Polarimetry2026 EGU General Assembly Conference Abstracts conference-abstract Environmental Science Atmospheric aerosols and clouds Open access
Piyushkumar N. Patel, Bastiaan van Diedenhoven, Otto Hasekamp, Guangliang Fu
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Introducing ImageGrains 2.0 for improved grain size and shape measurements in 2D and 3D data from images of sediment2026 EGU General Assembly Conference Abstracts conference-abstract Earth and Planetary Sciences Geological formations and processes Open access
David Mair, Guillaume Witz, Ariel Do Prado, Philippos Garefalakis, Amanda Wild, Fanny Ville, +9 more
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TERRANOVA from the last and current Interglacial periods into the Anthropocene: an Atlas database drawing lessons from ancient land use for future European landscape management2022 conference-abstract Agricultural and Biological Sciences Soil and Environmental Studies Open access
Sjoerd Kluiving, Didier M. Roche, Anhelina Zapolska, Elena A. Pearce, Jens‐Christian Svenning, Kailin Hatlestad, +12 more
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TransFuse: Advancing Frequent Flood Monitoring using Vision Transformers and Earth Observation2025 EGU General Assembly Conference Abstracts conference-abstract Environmental Science Flood Risk Assessment and Management Open access
Antara Dasgupta, Paul Christian Hosch, Rakesh Sahu, Björn Waske
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MO062: Pan-Disease Segmentation and Feature Extraction for Large-Scale Digital Nephropathology2022 Nephrology Dialysis Transplantation conference-abstract Computer Science AI in cancer detection
David Laurin Hölscher, Nassim Bouteldja, Yu-Chia Lan, Saskia Freifrau von Stillfried, Roman David Bülow, Peter Boor
1citations
21 results