Browsing by Titles

Showing results 1 to 11 of 11

  • Beaungwoon Moon
  • 2024
  • Beaungwoon Moon. (2024). Anonymous authentication system based on complex sinusoidal waveform. doi: 10.22677/THESIS.200000799391
  • DGIST
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  • Ongee Jeong
  • 2025
  • Ongee Jeong. (2025). Automated Analysis of Encrypted and Obfuscated Data based on Deep Neural Networks. doi: 10.22677/THESIS.200000841197
  • DGIST
  • View : 77
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  • Sungwoo Son
  • 2022
  • Sungwoo Son. (2022). Automated image-based classification of cancer cell by using digital holography and deep learning. doi: 10.22677/thesis.200000595277
  • DGIST
  • View : 293
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  • Jaewon Jeong
  • 2024
  • Jaewon Jeong. (2024). Automated Multi-Class Segmentation for Myotube Morphology in Fluorescent Images Using Deep Learning. doi: 10.22677/THESIS.200000730427
  • DGIST
  • View : 110
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  • Eunji Kim
  • 2021
  • Eunji Kim. (2021). Deep learning-based automated analysis of red blood cells three-dimensional morphological changes in the storage lesion. doi: 10.22677/thesis.200000364438
  • DGIST
  • View : 227
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  • Sangheon Jeong
  • 2025
  • Sangheon Jeong. (2025). Knowledge Transfer Methods for Photon Counting Double Random Phase Encoded Image Classification. doi: 10.22677/THESIS.200000828394
  • DGIST
  • View : 244
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  • Namki Kim
  • 2023
  • Namki Kim. (2023). Missing Ciphertext Recovery and Classification via Deep Learning. doi: 10.22677/THESIS.200000656454
  • DGIST
  • View : 255
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  • Seunghyeon Hwang
  • 2020
  • Seunghyeon Hwang. (2020). New phase unwrapping approach in digital holographic microscopy with deep learning. doi: 10.22677/Theses.200000285033
  • DGIST
  • View : 653
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  • Hyunbin An
  • 2025
  • Hyunbin An. (2025). Optimized Red Blood Cell Segmentation in Holographic Imaging through Integration of Self-Supervised Learning and Diffusion Models. doi: 10.22677/THESIS.200000828659
  • DGIST
  • View : 120
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Red blood cell study at different temperatures with holographic imaging informatics

  • Minwoo Sim
  • 2020
  • Minwoo Sim. (2020). Red blood cell study at different temperatures with holographic imaging informatics. doi: 10.22677/Theses.200000285143
  • DGIST
  • View : 554
  • Download : 183
  • Rehman Abdur
  • 2023
  • Rehman Abdur. (2023). Self-Supervised Learning in Holographic Image Analysis for Biomedical Applications. doi: 10.22677/THESIS.200000656707
  • DGIST
  • View : 226
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