Papers matching “deep learning prediction” 612
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Heidelberg Perioperative Deep Data Study (HeiPoDD): study protocol for a prospective cohort study for prediction of complications after high-risk non-cardiac surgery in a German university hospital
Mona Jung-König, Hans Thomas Hölzer, Solveig Tenckhoff, Sachin Kumar, Melanie Etheredge, Dominik Schaack, +19 more
3citations -
Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials2026 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access
G. Laskaris, D. Morozov, D. Tarpanov, A. Seth, J. Procelewska, Gopalakrishnan Sai Gautam, +3 more
1citations -
Deep and accurate detection of m6A RNA modifications using miCLIP2 and m6Aboost machine learning2021 Nucleic Acids Research article 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
126citations -
Applications of machine learning and deep learning in musculoskeletal medicine: a narrative review2025 European journal of medical research review Medicine Artificial Intelligence in Healthcare and Education Open access
Martina Feierabend, Julius Michael Wolfgart, Maximilian Praster, Marina Danalache, Filippo Migliorini, Ulf Krister Hofmann
7citations -
Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review2021 European Journal of Cancer review Computer Science AI in cancer detection Open access cited by 1 patent
Lucas Schneider, Sara Laiouar-Pedari, Sara Kuntz, Eva Krieghoff‐Henning, Achim Hekler, Jakob Nikolas Kather, +3 more
102citations -
Validation of the Incremental Prognostic Value of Deceased Donation Pre-implantation Kidney Transplant Biopsies through Comprehensive Lesion Quantification with Deep Learning
Ziyang Li, Giorgio Buzzanca, Danny van der Helm, Soufian Meziyerh, Ian P.J. Alwayn, Dorottya K. de Vries, +3 more
0citations -
Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials
Sena Alaeikhanehshir, Madelon M. Voets, Frederieke H van Duijnhoven, Esther H. Lips, Emma Josephine Groen, Marja C.J. van Oirsouw, +23 more
14citations -
An Intelligent Early Warning System for Harmful Algal Blooms: Harnessing the Power of Big Data and Deep Learning2024 Environmental Science & Technology article Environmental Science Aquatic Ecosystems and Phytoplankton Dynamics
Jing Qian, Li Qian, Nan Pu, Yonghong Bi, Andre Wilhelms, Stefan Norra
60citations -
A multi-centre evaluation of deep learning based radiotherapy planning for left-sided node-negative breast cancer2025 Physics and Imaging in Radiation Oncology article Physics and Astronomy Advanced Radiotherapy Techniques Open access
Marlie Besouw, Niels van Acht, Dave van Gruijthuijsen, Thérèse van Nunen, Jorien van der Leer, Maurice van der Sangen, +7 more
1citations -
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more
20citations -
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 -
AI-based Framework for Deep Learning Applications in Grinding2020 IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI) conference-paper Engineering Advanced machining processes and optimization cited by 2 patents
Philipp Niemietz, Daniel Trauth, Wolfgang Maas, Thomas Bergs
14citations -
Deep Learning Predicts Survival Across Squamous Tumor Entities From H&E Stains: Insights from Head and Neck, Esophagus, Lung and Cervical Cancer2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Verena Bitto, Xiaofeng Jiang, Michael A. Baumann, Jakob Nikolas Kather, Ina Kurth
1citations