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Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy.

, , , , , , , , , , , и . Bildverarbeitung für die Medizin, стр. 107-112. Springer, (2022)

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Feiqing Huang

Haishi Huang

Zhida Huang

Haowei Huang

Ying Huang

 

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Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation., , , , , , , , , и 5 other автор(ы). CoRR, (2020)Robust mixed one-bit compressive sensing., , , , , , и . Signal Process., (2019)Machine Learning-based Detection of Spherical Markers in CT Volumes., , , , и . Bildverarbeitung für die Medizin, стр. 51-56. Springer, (2022)Semi-permeable Filters for Interior Region of Interest Dose Reduction in X-ray Microscopy., , , , , , , , , и . Bildverarbeitung für die Medizin, стр. 61-66. Springer, (2021)Fine-Tuning a Local LLaMA-3 Large Language Model for Automated Privacy-Preserving Physician Letter Generation in Radiation Oncology., , , , , , , , , и 5 other автор(ы). CoRR, (2024)Exploring Epipolar Consistency Conditions., , , , , , , , , и 3 other автор(ы). Bildverarbeitung für die Medizin, стр. 211-216. Springer, (2024)Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data., , , , , , и . CoRR, (2024)Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model., , , , , , , и . Bildverarbeitung für die Medizin, стр. 277-282. Springer, (2016)Traditional machine learning for limited angle tomography., , , , и . Int. J. Comput. Assist. Radiol. Surg., 14 (1): 11-19 (2019)Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization., , , , , и . CoRR, (2020)