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DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter2021 Journal of the American Medical Informatics Association article Pharmacology, Toxicology and Pharmaceutics Pharmacovigilance and Adverse Drug Reactions Open access
Arjun Magge, Elena Viktorovna Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova, Anne R. Dirkson, Suzan Verberne, +2 more
55citations -
Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning2020 Journal of Imaging article Engineering Remote-Sensing Image Classification Open access cited by 1 patent
Mathé T. Zeegers, Daniël M. Pelt, Tristan van Leeuwen, Robert van Liere, Kees Joost Batenburg
11citations -
DeepADEMiner: A Deep Learning Pharmacovigilance Pipeline for Extraction and Normalization of Adverse Drug Effect Mentions on Twitter2020 medRxiv preprint Pharmacology, Toxicology and Pharmaceutics Pharmacovigilance and Adverse Drug Reactions Open access
Arjun Magge, Elena Viktorovna Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova, Anne R. Dirkson, Suzan Verberne, +2 more
7citations -
Explainability of a Deep Learning Based Classification Model for ANCA-Associated Glomerulonephritis2022 Journal of the American Society of Nephrology article Computer Science Explainable Artificial Intelligence (XAI)
Maria A.C. Wester Trejo, Maryam Sadeghi, Shivam Singh, Andreas Kronbichler, Vladimı́r Tesař, Xavier Puéchal, +1 more
0citations -
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
0citations -
B1 field map synthesis with generative deep learning used in the design of parallel-transmit RF pulses for ultra-high field MRI2022 Zeitschrift für Medizinische Physik article Medicine Advanced MRI Techniques and Applications Open access cited by 1 patent
Boris Eberhardt, Benedikt Andreas Poser, Nadim Jon Shah, Jörg Felder
11citations -
Deep and accurate detection of m 6 A RNA modifications using miCLIP2 and m6Aboost machine learning2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology RNA modifications and cancer Open access
Nadine Körtel, Cornelia Rücklé, You Zhou, Anke Busch, Peter Hoch-Kraft, F.X. Reymond Sutandy, +12 more
3citations -
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study2021 Journal of Medical Internet Research article Computer Science AI in cancer detection Open access
Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more
64citations -
A Spatiotemporal Deep Learning Approach for Urban Pluvial Flood Forecasting with Multi-Source Data2023 Water article Environmental Science Hydrological Forecasting Using AI Open access cited by 1 patent
Benjamin Burrichter, Julian Hofmann, Juliana Koltermann da Silva, André Niemann, Markus Quirmbach
45citations