Browsing by Titles

Showing results 1 to 10 of 10

  • Sims, Jessica D.
  • Hwang, Jae Youn
  • Wagner, Shawn
  • Alonso-Valenteen, Felix
  • Hanson, Chris
  • Taguiam, Jan Michael
  • Polo, Richard
  • Harutyunyan, Ira
  • Karapetyan, Gevorg
  • Sorasaenee, Karn
  • et al
  • 2015-11
  • Journal of Controlled Release, v.217, pp.92 - 101
  • Elsevier
  • View : 1517
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A Magnetically Controlled Soft Microrobot Steering a Guidewire in a Three-Dimensional Phantom Vascular Network

  • Jeon, Sungwoong
  • Hoshiar, Ali Kafash
  • Kim, Kangho
  • Lee, Seungmin
  • Kim, Eunhee
  • Lee, Sunkey
  • Kim, Jin-young
  • Nelson, Bradley J.
  • Cha, Hyo-Jeong
  • Yi, Byung-Ju
  • et al
  • 2019-02
  • Jeon, Sungwoong. (2019-02). A Magnetically Controlled Soft Microrobot Steering a Guidewire in a Three-Dimensional Phantom Vascular Network. Soft Robotics, 6(1), 54–68. doi: 10.1089/soro.2018.0019
  • Mary Ann Liebert, Inc.
  • View : 1040
  • Download : 64
  • Hwang, Junsun
  • Jeon, Sungwoong
  • Kim, Beomjoo
  • Kim, Jin-young
  • Jin, Chaewon
  • Yeon, Ara
  • Yi, Byung-Ju
  • Yoon, Chang-Hwan
  • Park, Hun-Jun
  • Pane, Salvador
  • et al
  • 2022-06
  • Hwang, Junsun. (2022-06). An Electromagnetically Controllable Microrobotic Interventional System for Targeted, Real-Time Cardiovascular Intervention. Advanced Healthcare Materials, 11(11). doi: 10.1002/adhm.202102529
  • John Wiley and Sons Ltd
  • View : 501
  • Download : 0
  • Euijin Jung
  • 2023
  • Euijin Jung. (2023). Condition and Modality-guided Medical Image Generation using Deep Learning-based Generative Models. doi: 10.22677/THESIS.200000686643
  • DGIST
  • View : 113
  • Download : 0
  • 2023-11
  • Kim, Hojeong. (2023-11). Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy. BMC Research Notes, 16(1). doi: 10.1186/s13104-023-06588-5
  • BioMed Central Ltd
  • View : 241
  • Download : 0
  • Kim, Sangyeol
  • Park, Seongjun
  • Chang, Iksoo
  • 2022-08
  • Kim, Sangyeol. (2022-08). Development of quantitative and continuous measure for severity degree of Alzheimer’s disease evaluated from MRI images of 761 human brains. BMC Bioinformatics, 23(1). doi: 10.1186/s12859-022-04903-8
  • BioMed Central
  • View : 329
  • Download : 0

Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network

  • Jung, Euijin
  • Chikontwe, Philip
  • Zong, Xiaopeng
  • Lin, Weili
  • Shen, Dinggang
  • Park, Sang Hyun
  • 2019-02
  • Jung, Euijin. (2019-02). Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. IEEE Access, 7, 18382–18391. doi: 10.1109/ACCESS.2019.2896911
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 817
  • Download : 282

Motion artifact correction of multi-measured functional near-infrared spectroscopy signals based on signal reconstruction using an artificial neural network

  • 2018-09
  • Lee, Gihyoun. (2018-09). Motion artifact correction of multi-measured functional near-infrared spectroscopy signals based on signal reconstruction using an artificial neural network. Sensors, 18(9), 1–16. doi: 10.3390/s18092957
  • Multidisciplinary Digital Publishing Institute (MDPI)
  • View : 903
  • Download : 97

Target-aware cross-modality unsupervised domain adaptation for vestibular schwannoma and cochlea segmentation

  • Kang, Bogyeong
  • Nam, Hyeonyeong
  • Kang, Myeongkyun
  • Heo, Keun-Soo
  • Lim, Minjoo
  • Oh, Ji-Hye
  • Kam, Tae-Eui
  • 2024-11
  • Kang, Bogyeong. (2024-11). Target-aware cross-modality unsupervised domain adaptation for vestibular schwannoma and cochlea segmentation. Scientific Reports, 14(1). doi: 10.1038/s41598-024-77633-x
  • Nature Publishing Group
  • View : 83
  • Download : 24

The difference in cortical activation pattern for complex motor skills: A functional near- infrared spectroscopy study

  • Lee, Seung Hyun
  • Jin, Sang Hyeon
  • An, Jinung
  • 2019-10
  • Lee, Seung Hyun. (2019-10). The difference in cortical activation pattern for complex motor skills: A functional near- infrared spectroscopy study. doi: 10.1038/s41598-019-50644-9
  • Nature Publishing Group
  • View : 809
  • Download : 260
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