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Showing results 1 to 23 of 23

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 Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study

  • 2015-08
  • Otten, Paul. (2015-08). A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study. Sensors, 15(8), 20097–20114. doi: 10.3390/s150820097
  • MDPI AG
  • View : 1706
  • Download : 680

An Energy-Efficient Algorithm for Classification of Fall Types Using a Wearable Sensor

  • Kwon, Soon Bin
  • Park, Jeong Ho
  • Kwon, Chiheon
  • Kong, Hyung Joong
  • Hwang, Jae Youn
  • Kim, Hee Chan
  • 2019-03
  • Kwon, Soon Bin. (2019-03). An Energy-Efficient Algorithm for Classification of Fall Types Using a Wearable Sensor. doi: 10.1109/ACCESS.2019.2902718
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 640
  • Download : 360
  • Jaferzadeh, Keyvan
  • Son, Seungwoo
  • Rehman, Abdur
  • Park, Seonghwan
  • Moon, Inkyu
  • 2023-01
  • Jaferzadeh, Keyvan. (2023-01). Automated Stain-Free Holographic Image-Based Phenotypic Classification of Elliptical Cancer Cells. Advanced Photonics Research, 4(1). doi: 10.1002/adpr.202200043
  • Wiley-VCH
  • View : 332
  • Download : 30
  • Park, C.
  • Gim, J.
  • Lee, S.
  • Lee, K.J.
  • Kim, J.S.
  • 2022-03
  • Park, C. (2022-03). Automated Synapse Detection Method for Cerebellar Connectomics. Frontiers in Neuroanatomy, 16. doi: 10.3389/fnana.2022.760279
  • Frontiers Media S.A.
  • View : 267
  • Download : 0

Automating the Fugl-Meyer Assessment with Supervised Machine Learning

  • Paul Otten
  • 2015
  • Paul Otten. (2015). Automating the Fugl-Meyer Assessment with Supervised Machine Learning. doi: 10.22677/thesis.1922800
  • DGIST
  • View : 679
  • Download : 234
  • Park, Junki
  • Yi, Wooseok
  • Ahn, Daehyun
  • Kung, Jaeha
  • Kim, Jae-Joon
  • 2020-09
  • Park, Junki. (2020-09). Balancing Computation Loads and Optimizing Input Vector Loading in LSTM Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(9), 1889–1901. doi: 10.1109/TCAD.2019.2926482
  • Institute of Electrical and Electronics Engineers
  • View : 637
  • 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

Electrode Placement Optimization for Electrical Impedance Tomography Using Active Learning

  • Lee, Junhyeong
  • Park, Kyungseo
  • Park, Kundo
  • Kim, Yongtae
  • Kim, Jung
  • Ryu, Seunghwa
  • 2024-06
  • Lee, Junhyeong. (2024-06). Electrode Placement Optimization for Electrical Impedance Tomography Using Active Learning. Advanced Engineering Materials, 26(11). doi: 10.1002/adem.202301865
  • Wiley
  • View : 287
  • Download : 51
  • Zou, Zhuowen
  • Alimohamadi, Haleh
  • Kim, Yeseong
  • Najafi, M. Hassan
  • Srinivasa, Narayan
  • Imani, Mohsen
  • 2022-07
  • Zou, Zhuowen. (2022-07). EventHD: Robust and efficient hyperdimensional learning with neuromorphic sensor. Frontiers in Neuroscience, 16. doi: 10.3389/fnins.2022.858329
  • Frontiers Media S.A.
  • View : 258
  • Download : 26
  • Dash, Nayan
  • Bashar, Abul
  • Lee, Jeonghan
  • Dash, Raju
  • 2025-07
  • Applied Sciences, v.15, no.15
  • MDPI
  • View : 3410
  • Download : 0
  • 2025-05
  • ACS Nano, v.19, no.18, pp.17850 - 17862
  • American Chemical Society
  • View : 479
  • Download : 0
  • Son, Chang-Sik
  • Kang, Won-Seok
  • Lee, Jong-Ha
  • Moon, Kyoung ja
  • 2022-04
  • Son, Chang-Sik. (2022-04). Machine Learning to Identify Psychomotor Behaviors of Delirium for Patients in Long-Term Care Facility. IEEE Journal of Biomedical and Health Informatics, 26(4), 1802–1814. doi: 10.1109/jbhi.2021.3116967
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 705
  • Download : 0

Machine Learning-Based Plasma Metabolomics in Liraglutide-Treated Type 2 Diabetes Mellitus Patients and Diet-Induced Obese Mice

  • 2024-09
  • Park, Seokjae. (2024-09). Machine Learning-Based Plasma Metabolomics in Liraglutide-Treated Type 2 Diabetes Mellitus Patients and Diet-Induced Obese Mice. Metabolites, 14(9). doi: 10.3390/metabo14090483
  • MDPI
  • View : 252
  • Download : 60
  • Awan, Nabeela
  • Khan, Salman
  • Rahmani, Mohammad Khalid Imam
  • Tahir, Muhammad
  • Alam, Nur
  • Alturki, Ryan
  • Ullah, Ihsan
  • 2021-02
  • Awan, Nabeela. (2021-02). Machine Learning-Enabled Power Scheduling in IoT-Based Smart Cities. doi: 10.32604/cmc.2021.014386
  • Tech Science Press
  • View : 637
  • Download : 0
  • Lee, Moon Hwan
  • Lee, Kyungsu
  • Yoo, Youngseung
  • Cho, HyungJoon
  • Chung, Euiheon
  • Hwang, Jae Youn
  • 2025-01
  • Lee, Moon Hwan. (2025-01). Machine Learning-Enhanced Skull-Universal Acoustic Hologram for Efficient Transcranial Ultrasound Neuromodulation Across Varied Rodent Skulls. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 72(1), 127–140. doi: 10.1109/TUFFC.2024.3506913
  • Institute of Electrical and Electronics Engineers
  • View : 131
  • Download : 0

Machine-learning-based diabetes classification method using blood flow oscillations and Pearson correlation analysis of feature importance

  • Jung, Hanbeen
  • Yeo, Chaebeom
  • Jang, Eunsil
  • Chang, Yeonhee
  • Song, Cheol
  • 2024-12
  • Jung, Hanbeen. (2024-12). Machine-learning-based diabetes classification method using blood flow oscillations and Pearson correlation analysis of feature importance. Machine Learning: Science and Technology, 5(4). doi: 10.1088/2632-2153/ad861d
  • IOP Publishing
  • View : 148
  • Download : 27

Multi-proteomic analyses of 5xFAD mice reveal new molecular signatures of early-stage Alzheimer's disease

  • Lee, Seulah
  • Jang, Kuk-In
  • Lee, Hagyeong
  • Jo, Yeon Suk
  • Kwon, Dayoung
  • Park, Geuna
  • Bae, Sungwon
  • Kwon, Yang Woo
  • Jang, Jin-Hyeok
  • Oh, Yong-Seok
  • et al
  • 2024-06
  • Lee, Seulah. (2024-06). Multi-proteomic analyses of 5xFAD mice reveal new molecular signatures of early-stage Alzheimer's disease. Aging Cell, 23(6). doi: 10.1111/acel.14137
  • Wiley
  • View : 317
  • Download : 101
  • Kang, Jaeyoung
  • Khaleghi, Behnam
  • Rosing, Tajana
  • Kim, Yeseong
  • 2022-11
  • Kang, Jaeyoung. (2022-11). OpenHD: A GPU-Powered Framework for Hyperdimensional Computing. IEEE Transactions on Computers, 71(11), 2753–2765. doi: 10.1109/TC.2022.3179226
  • Institute of Electrical and Electronics Engineers
  • View : 241
  • Download : 0
  • Lee, Junho
  • Kwak, Jee Young
  • Keum, Kyobin
  • Kim, Kang Sik
  • Kim, Insoo
  • Lee, Myoung-Jae
  • Kim, Yong-Hoon
  • Park, Sung Kyu
  • 2024-04
  • Lee, Junho. (2024-04). Recent Advances in Smart Tactile Sensory Systems with Brain-Inspired Neural Networks. Advanced Intelligent Systems, 6(4). doi: 10.1002/aisy.202300631
  • Wiley
  • View : 235
  • Download : 0

Resting-State Functional Connectivity in Mathematical Expertise

  • Shim, Miseon
  • Hwang, Han-Jeong
  • Kuhl, Ulrike
  • Jeon, Hyeon-Ae
  • 2021-04
  • Shim, Miseon. (2021-04). Resting-State Functional Connectivity in Mathematical Expertise. Brain Sciences, 11(4), 430. doi: 10.3390/brainsci11040430
  • MDPI AG
  • View : 629
  • Download : 175

Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition

  • 2021-04
  • Kim, Kyungsoo. (2021-04). Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition. Advanced Science, 8(7), 2002362. doi: 10.1002/advs.202002362
  • John Wiley and Sons Inc
  • View : 736
  • Download : 81

Wearable electrochemical sensors for real-time monitoring in diabetes mellitus and associated complications

  • 2024-06
  • Jung, Han Hee. (2024-06). Wearable electrochemical sensors for real-time monitoring in diabetes mellitus and associated complications. Soft Science, 4(2). doi: 10.20517/ss.2024.02
  • OAE Publishing
  • View : 135
  • Download : 44
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