Papers matching “deep learning image analysis” 31
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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 -
Fully Automated Cultivation of Adipose-Derived Stem Cells in the StemCellDiscovery—A Robotic Laboratory for Small-Scale, High-Throughput Cell Production Including Deep Learning-Based Confluence Estimation2021 Processes article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access cited by 1 patent
Jelena Ochs, Ferdinand Biermann, Tobias Piotrowski, Frederik Erkens, Bastian Nießing, Laura Herbst, +2 more
22citations -
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study
Hannah Sophie Muti, Lara Rosaline Heij, Gisela Keller, Meike Kohlruss, Rupert Langer, Bastian Dislich, +29 more
127citations -
A deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound images2021 International journal of cardiac imaging article Medicine Coronary Interventions and Diagnostics Open access cited by 3 patents
Retesh Bajaj, Xingru Huang, Yakup Kilic, Ajay Jain, Anantharaman Ramasamy, Ryo Torii, +12 more
29citations -
Deep Transfer Learning Approach for Automatic Recognition of Drug Toxicity and Inhibition of SARS-CoV-22021 Viruses article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access cited by 1 patent
Raphael M. Kronberg, Paweł Stachura, Philipp Niklas Ostermann, Lisa Müller, Heiner Schaal, Sanil Bhatia, +5 more
18citations -
Deep learning–based molecular morphometrics for kidney biopsies2021 JCI Insight article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Marina Zimmermann, Martin Klaus, Milagros N. Wong, Ann-Katrin Thebille, Lukas Gernhold, Christoph Kuppe, +13 more
48citations -
Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling2021 Crystals article Materials Science Machine Learning in Materials Science Open access cited by 3 patents
Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, +2 more
40citations -
Automated Carbonate Reservoir Pore and Fracture Classification by Multiscale Imaging and Deep Learning2021 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Jop Klaver, Joyce Schmatz, Rongjin Wang, Mingming Jiang, Lucas M. Kleipool, Antonino Cilona, +1 more
1citations -
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection261citations
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Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification2021 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Ina Laube, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, +3 more
0citations -
Cellcyclegan: Spatiotemporal Microscopy Image Synthesis Of Cell Populations Using Statistical Shape Models And Conditional Gans2021 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Dennis Bähr, Dennis Eschweiler, Anuk Bhattacharyya, Daniel Moreno-Andrés, Wolfram Antonin, Johannes Stegmaier
9citations