Automated Detection of Steno-Occlusive Lesion on Time-of-Flight MR Angiography: An Observer Performance Study

Hunjong Lim, Dongjun Choi, Leonard Sunwoo, Jae Hyeop Jung, Sung Hyun Baik, Se Jin Cho, Jinhee Jang, Tackeun Kim and Kyong Joon Lee

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PubMed 

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History 
  • Received January 23, 2024
  • Accepted after revision April 21, 2024
  • Published online September 9, 2024.

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Author Information

  1. Hunjong Lima,,
  2. Dongjun Choib,,
  3. Leonard Sunwooa,c,
  4. Jae Hyeop Junga,d,
  5. Sung Hyun Baika,
  6. Se Jin Choa,
  7. Jinhee Jange,
  8. Tackeun Kimf and
  9. Kyong Joon Leea,g
  1. aFrom the Department of Radiology (H.L., L.S., J.H.J., S.H.B., S.J.C., K.J.L.), Seoul National University Bundang Hospital, Seongnam, South Korea
  2. blululab Inc. (D.C.), Seoul, South Korea
  3. cCenter for Artificial Intelligence in Healthcare (L.S.), Seoul National University Bundang Hospital, Seongnam, South Korea
  4. dRemote Reading Team (J.H.J.), Korea Armed Forces Capital Hospital, Seongnam, South Korea
  5. eDepartment of Radiology (J.J.), Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
  6. fTALOS Corp. (T.K.), Seoul, South Korea
  7. gMonitor Corp. (K.J.L.), Seoul, South Korea
  1. Please address correspondence to Leonard Sunwoo, MD, PhD, Department of Radiology, Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam, 13620, South Korea; e-mail: leonard.sunwoo{at}gmail.com
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Funding

  • SNUBH Research Fund

    No. 14-2023-0014

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