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  <title>Repository Collection: null</title>
  <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/168" />
  <subtitle />
  <id>https://scholar.dgist.ac.kr/handle/20.500.11750/168</id>
  <updated>2026-04-04T12:49:06Z</updated>
  <dc:date>2026-04-04T12:49:06Z</dc:date>
  <entry>
    <title>Vision Guided Robotic System for Bone Drilling Based on Rolling Friction</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/47131" />
    <author>
      <name>Shim, Seongbo</name>
    </author>
    <author>
      <name>Choi, Hyunseok</name>
    </author>
    <author>
      <name>Ji, Daekeun</name>
    </author>
    <author>
      <name>Kang, Wonjin</name>
    </author>
    <author>
      <name>Hong, Jaesung</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/47131</id>
    <updated>2026-02-09T07:40:19Z</updated>
    <published>2017-09-27T15:00:00Z</published>
    <summary type="text">Title: Vision Guided Robotic System for Bone Drilling Based on Rolling Friction
Author(s): Shim, Seongbo; Choi, Hyunseok; Ji, Daekeun; Kang, Wonjin; Hong, Jaesung
Abstract: Drilling procedures to the bone are frequently conducted with CT in the various surgical fields. The proposed vision guided robotic system provides orientation alignment of the drill-tip and automatic drilling to the target. The feasibility of the proposed robotic system was demonstrated by ex-vivo drilling tests on swine femur.</summary>
    <dc:date>2017-09-27T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A Fast Intensity-based 3D-2D Registration of Coronary Angiograms and Computed Tomographic Images</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/47021" />
    <author>
      <name>Kang, Wonjin</name>
    </author>
    <author>
      <name>Jeon, Sangseo</name>
    </author>
    <author>
      <name>Hong, Jaesung</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/47021</id>
    <updated>2025-07-25T03:30:46Z</updated>
    <published>2017-11-26T15:00:00Z</published>
    <summary type="text">Title: A Fast Intensity-based 3D-2D Registration of Coronary Angiograms and Computed Tomographic Images
Author(s): Kang, Wonjin; Jeon, Sangseo; Hong, Jaesung</summary>
    <dc:date>2017-11-26T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A Hybrid Marker Tracking System for Implant Navigation system with Augmented Reality</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/47020" />
    <author>
      <name>Kim, Miseon</name>
    </author>
    <author>
      <name>Choi, Hyunseok</name>
    </author>
    <author>
      <name>Hong, Jaesung</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/47020</id>
    <updated>2025-07-25T02:40:05Z</updated>
    <published>2017-11-26T15:00:00Z</published>
    <summary type="text">Title: A Hybrid Marker Tracking System for Implant Navigation system with Augmented Reality
Author(s): Kim, Miseon; Choi, Hyunseok; Hong, Jaesung</summary>
    <dc:date>2017-11-26T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Image-guided robotic mastoidectomy using human-robot collaboration control</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/3908" />
    <author>
      <name>Lim, Hoon</name>
    </author>
    <author>
      <name>Han, Jung-Min</name>
    </author>
    <author>
      <name>Hong, Jaeseung</name>
    </author>
    <author>
      <name>Yi, Byung-Ju</name>
    </author>
    <author>
      <name>Lee, Seung Hwan</name>
    </author>
    <author>
      <name>Jeong, Jin Kyeok</name>
    </author>
    <author>
      <name>Matsumoto, Nozomu</name>
    </author>
    <author>
      <name>Oka, Masamichi</name>
    </author>
    <author>
      <name>Komune, Shizuo</name>
    </author>
    <author>
      <name>Hashizume, Makoto</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/3908</id>
    <updated>2025-07-24T07:26:00Z</updated>
    <published>2010-12-31T15:00:00Z</published>
    <summary type="text">Title: Image-guided robotic mastoidectomy using human-robot collaboration control
Author(s): Lim, Hoon; Han, Jung-Min; Hong, Jaeseung; Yi, Byung-Ju; Lee, Seung Hwan; Jeong, Jin Kyeok; Matsumoto, Nozomu; Oka, Masamichi; Komune, Shizuo; Hashizume, Makoto
Abstract: This work proposes an image-guided robotic Mastoidectomy. A surgical navigation software was developed to guide the robot without damaging the critical area. A forbidden-region virtual fixture is implemented for safety. A human-robot collaboration control mode is used to allow the human intervention during surgery, to compensate tremor by operator, and to protect the relevant organs. A temporal bone replica was used as a phantom for the robotic Mastoidectomy. Through the phantom studies, it was shown that the image-guided robotic approach is effective for safe and precise Mastoidectomy. © 2011 IEEE.</summary>
    <dc:date>2010-12-31T15:00:00Z</dc:date>
  </entry>
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