1. Journal Articles48

Showing results 21 to 40 of 48

  • 2023-04
  • 윤창섭. (2023-04). Graph Transformer SlowFast 모델 기반의 아동 이상 행동 분석 시스템. 전자공학회논문지, 60(4), 71–79. doi: 10.5573/ieie.2023.60.4.71
  • 대한전자공학회
  • View : 228
  • Download : 0
  • 2020-04
  • Kim, Soopil. (2020-04). Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade. Brain Tumor Research and Treatment, 8(1), 36–42. doi: 10.14791/btrt.2020.8.e3
  • 대한뇌종양학회
  • View : 122
  • Download : 0
  • Ullah, Ihsan
  • Ali, Farman
  • Shah, Babar
  • El-Sappagh, Shaker
  • Abuhmed, Tamer
  • Park, Sang Hyun
  • 2023-01
  • Ullah, Ihsan. (2023-01). A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images. Scientific Reports, 13(1). doi: 10.1038/s41598-023-27815-w
  • Nature Publishing Group
  • View : 339
  • Download : 23
  • 2023-05
  • Kim, Soopil. (2023-05). Uncertainty-aware semi-supervised few shot segmentation. Pattern Recognition, 137. doi: 10.1016/j.patcog.2022.109292
  • Elsevier Ltd
  • View : 256
  • Download : 0
  • Divya, S.
  • Panda, Swati
  • Hajra, Sugato
  • Jeyaraj, Rathinaraja
  • Paul, Anand
  • Park, Sang Hyun
  • Kim, Hoe Joon
  • Oh, Tae Hwan
  • 2023-02
  • Divya, S. (2023-02). Smart data processing for energy harvesting systems using artificial intelligence. Nano Energy, 106. doi: 10.1016/j.nanoen.2022.108084
  • Elsevier Ltd
  • View : 483
  • Download : 0
  • 2023-01
  • Jung, Euijin. (2023-01). Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression. Pattern Recognition, 133. doi: 10.1016/j.patcog.2022.109061
  • Pergamon Press
  • View : 336
  • Download : 0
  • Jeong, Jaehoon
  • Hong, Seung Taek
  • Ullah, Ihsan
  • Kim, Eun Sun
  • Park, Sang Hyun
  • 2022-02
  • Jeong, Jaehoon. (2022-02). Classification of the Confocal Microscopy Images of Colorectal Tumor and Inflammatory Colitis Mucosa Tissue Using Deep Learning. Diagnostics, 12(2). doi: 10.3390/diagnostics12020288
  • MDPI AG
  • View : 309
  • Download : 0
  • Shoaib, Muhammad
  • Hussain, Tariq
  • Shah, Babar
  • Ullah, Ihsan
  • Shah, Sayyed Mudassar
  • Ali, Farman
  • Park, Sang Hyun
  • 2022-10
  • Shoaib, Muhammad. (2022-10). Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease. Frontiers in Plant Science, 13. doi: 10.3389/fpls.2022.1031748
  • Frontiers Media S.A.
  • View : 247
  • Download : 0
  • Chikontwe, Philip
  • Sung, Hyun Jung
  • Jeong, Jaehoon
  • Kim, Meejeong
  • Go, Heounjeong
  • Nam, Soo Jeong
  • Park, Sang Hyun
  • 2022-08
  • Chikontwe, Philip. (2022-08). Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization. Medical Image Analysis, 80. doi: 10.1016/j.media.2022.102482
  • Elsevier BV
  • View : 303
  • Download : 0
  • 2022-07
  • Cha, Hyeongdo. (2022-07). Study on Intention Recognition and Sensory Feedback: Control of Robotic Prosthetic Hand through EMG Classification and Proprioceptive Feedback using Rule-based Haptic Device. IEEE Transactions on Haptics, 15(3), 560–571. doi: 10.1109/TOH.2022.3177714
  • Institute of Electrical and Electronics Engineers
  • View : 286
  • Download : 0

A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography Angiography

  • Ryu, Gahyung
  • Lee, Kyungmin
  • Park, Donggeun
  • Kim, Inhye
  • Park, Sang Hyun
  • Sagong, Min
  • 2022-02
  • Ryu, Gahyung. (2022-02). A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography Angiography. Translational Vision Science & Technology, 11(2). doi: 10.1167/tvst.11.2.39
  • Association for Research in Vision and Ophthalmology
  • View : 349
  • Download : 68

A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography

  • Ryu, Gahyung
  • Lee, Kyungmin
  • Park, Donggeun
  • Park, Sang Hyun
  • Sagong, Min
  • 2021-11
  • Ryu, Gahyung. (2021-11). A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography. Scientific Reports, 11(1). doi: 10.1038/s41598-021-02479-6
  • Nature Publishing Group
  • View : 539
  • Download : 37

Long-term in-vivo recording performance of flexible penetrating microelectrode arrays

  • 2021-12
  • Jang, Jae-Won. (2021-12). Long-term in-vivo recording performance of flexible penetrating microelectrode arrays. Journal of Neural Engineering, 18(6), 066018. doi: 10.1088/1741-2552/ac3656
  • IOP Publishing
  • View : 687
  • Download : 136
  • Chikontwe, Philip
  • Luna, Acevedo Miguel Andres
  • Kang, Myeongkyun
  • Hong, Kyung Soo
  • Ahn, June Hong
  • Park, Sang Hyun
  • 2021-08
  • Chikontwe, Philip. (2021-08). Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening. Medical Image Analysis, 72, 102105. doi: 10.1016/j.media.2021.102105
  • Elsevier BV
  • View : 482
  • Download : 0

Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation

  • Ullah, Ihsan
  • Chikontwe, Philip
  • Choi, Hongsoo
  • Yoon, Chang Hwan
  • Park, Sang Hyun
  • 2021-02
  • Ullah, Ihsan. (2021-02). Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation. Applied Sciences, 11(4), 1638–16. doi: 10.3390/app11041638
  • MDPI AG
  • View : 506
  • Download : 447

Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective

  • Kang, Myeongkyun
  • Hong, Kyung Soo
  • Chikontwe, Philip
  • Luna, Acevedo Miguel Andres
  • Jang, Jong Geol
  • Park, Jongsoo
  • Shin, Kyeong-Cheol
  • Park, Sang Hyun
  • Ahn, June Hong
  • 2021-02
  • Kang, Myeongkyun. (2021-02). Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective. Journal of Korean Medical Science, 36(5), 1–14. doi: 10.3346/jkms.2021.36.e46
  • The Korean Academy of Medical Sciences
  • View : 524
  • Download : 83
  • Park, Yae Won
  • Kim, Soopil
  • Ahn, Sung Soo
  • Han, Kyunghwa
  • Kang, Seok-Gu
  • Chang, Jong Hee
  • Kim, Se Hoon
  • Lee, Seung-Koo
  • Park, Sang Hyun
  • 2020-08
  • Park, Yae Won. (2020-08). Magnetic resonance imaging–based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade. European Radiology, 30(8), 4615–4622. doi: 10.1007/s00330-020-06788-8
  • Springer
  • View : 709
  • Download : 0
  • 2020-06
  • Won, Dongkyu. (2020-06). Spinal Stenosis Grading in Magnetic Resonance Imaging Using Deep Convolutional Neural Networks. doi: 10.1097/brs.0000000000003377
  • Lippincott Williams and Wilkins
  • View : 609
  • Download : 0
  • Zama, Asaduz
  • Park, Sang Hyun
  • Bang, Hyunhee
  • Park, Chul-woo
  • Park, Ilhyung
  • Joung, Sanghyun
  • 2020-06
  • Zama, Asaduz. (2020-06). Generative approach for data augmentation for deep learning-based bone surface segmentation from ultrasound images. International Journal of Computer Assisted Radiology and Surgery, 15, 931–941. doi: 10.1007/s11548-020-02192-1
  • Springer Nature
  • View : 749
  • Download : 0
  • 2020-02
  • Adeli, E. (2020-02). Editorial: Predictive Intelligence in Biomedical and Health Informatics. IEEE Journal of Biomedical and Health Informatics, 24(2), 333–335. doi: 10.1109/JBHI.2019.2962852
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 565
  • Download : 0
<< 1 2 3 >>

Recent Submissions