loading . . . AI-Powered Image Analysis 2.0 - On-Demand Turn images into robust, publication-ready data with our one-day online workshop on AI-powered image analysis for PhD students, professors, and professional researchers, led by Nikolay Oskolkov, Group Leader/PI at LIOS. This intensive hands-on seminar bridges theory and practice, covering CNNs, transfer learning, UNet, Mask R-CNN, object detection, Bayesian uncertainty quantification, GRAD-CAM interpretability, OpenCV, OTSU thresholding, morphological operations, and reproducible Python workflows in Jupyter on Linux. Participants will learn how to build end-to-end image analysis pipelines for biological, microscopy, high-throughput, and clinical imaging data, using ChatGPT-assisted coding to accelerate prototyping, debugging, documentation, and reusable analysis scripts. The workshop emphasizes rigorous experimental design, evaluation metrics, cross-validation, batch-effect control, uncertainty reporting, and interpretable results suitable for theses, publications, and grant applications. Attend live via Zoom or access recordings, slides, code, data, and materials for 30 days after the seminar, with continued support through an online Q&A forum and an official Instats certificate of completion.
#ComputationalBiology #DataAnalytics #DataScience #MachineLearning #BiomedicalEngineering #Bioinformatics #ComputerScience #ArtificialIntelligence #ChatGPT #Jupyter #Linux #Python #R #Research #ResearchTraining #Instats https://instats.org/seminar/ai-powered-image-analysis-20-1?utm_source=bluesky