UCLA Researchers Introduce GedankenNet: A Self-Supervised AI Model That Learns From Physics Laws and Thought Experiments Advancing Computational Imaging

Recent advancements in deep learning have significantly impacted computational imaging, microscopy, and holography-related fields. These technologies have applications in diverse areas, such as biomedical imaging, sensing, diagnostics, and 3D displays. Deep learning models have demonstrated remarkable flexibility and effectiveness in tasks like image translation, enhancement, super-resolution, denoising, and virtual staining. They have been successfully applied […]

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