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  1. Article ; Online: Lascaux Cave Painting: The Earliest Drawing of Gastrointestinal Anatomy and Physiology?

    Jeon, Ju-Hong

    Journal of Korean medical science

    2024  Volume 39, Issue 3, Page(s) e34

    MeSH term(s) Humans ; Caves ; Paintings
    Language English
    Publishing date 2024-01-22
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 639262-3
    ISSN 1598-6357 ; 1011-8934
    ISSN (online) 1598-6357
    ISSN 1011-8934
    DOI 10.3346/jkms.2024.39.e34
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 3163: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  2. Article: Digital technology in orthognathic surgery: virtual surgical planning and digital transfer.

    Jeon, Ju-Hong

    Journal of the Korean Association of Oral and Maxillofacial Surgeons

    2019  Volume 45, Issue 5, Page(s) 231–232

    Language English
    Publishing date 2019-10-30
    Publishing country Korea (South)
    Document type Editorial
    ZDB-ID 2763851-0
    ISSN 2234-5930 ; 2234-7550
    ISSN (online) 2234-5930
    ISSN 2234-7550
    DOI 10.5125/jkaoms.2019.45.5.231
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  3. Article ; Online: CODENET: A deep learning model for COVID-19 detection.

    Ju, Hong / Cui, Yanyan / Su, Qiaosen / Juan, Liran / Manavalan, Balachandran

    Computers in biology and medicine

    2024  Volume 171, Page(s) 108229

    Abstract: Conventional COVID-19 testing methods have some flaws: they are expensive and time-consuming. Chest X-ray (CXR) diagnostic approaches can alleviate these flaws to some extent. However, there is no accurate and practical automatic diagnostic framework ... ...

    Abstract Conventional COVID-19 testing methods have some flaws: they are expensive and time-consuming. Chest X-ray (CXR) diagnostic approaches can alleviate these flaws to some extent. However, there is no accurate and practical automatic diagnostic framework with good interpretability. The application of artificial intelligence (AI) technology to medical radiography can help to accurately detect the disease, reduce the burden on healthcare organizations, and provide good interpretability. Therefore, this study proposes a new deep neural network (CNN) based on CXR for COVID-19 diagnosis - CodeNet. This method uses contrastive learning to make full use of latent image data to enhance the model's ability to extract features and generalize across different data domains. On the evaluation dataset, the proposed method achieves an accuracy as high as 94.20%, outperforming several other existing methods used for comparison. Ablation studies validate the efficacy of the proposed method, while interpretability analysis shows that the method can effectively guide clinical professionals. This work demonstrates the superior detection performance of a CNN using contrastive learning techniques on CXR images, paving the way for computer vision and artificial intelligence technologies to leverage massive medical data for disease diagnosis.
    MeSH term(s) Humans ; COVID-19/diagnostic imaging ; COVID-19 Testing ; Artificial Intelligence ; Deep Learning ; Neural Networks, Computer
    Language English
    Publishing date 2024-02-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2024.108229
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 653: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Sex hormone-binding globulin impedes hepatocellular carcinoma growth via MERTK regulation

    Sang R. Lee / Eui-Ju Hong

    Genes and Diseases, Vol 9, Iss 3, Pp 579-

    2022  Volume 581

    Keywords Medicine (General) ; R5-920 ; Genetics ; QH426-470
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Effects of a virtual reality video game exercise program on upper extremity function and daily living activities in stroke patients.

    Kim, Ju-Hong

    Journal of physical therapy science

    2018  Volume 30, Issue 12, Page(s) 1408–1411

    Abstract: Purpose] This study examined the effects of training using virtual reality games on stroke patients' functional recovery. [Paticipants and Methods] Twenty-four hemiplegia patients whose disease duration was longer than six months participated in this ... ...

    Abstract [Purpose] This study examined the effects of training using virtual reality games on stroke patients' functional recovery. [Paticipants and Methods] Twenty-four hemiplegia patients whose disease duration was longer than six months participated in this study. The participants were divided at random into a control group (n=12), which received traditional rehabilitation therapy, and an experimental group (n=12), which received both traditional rehabilitation therapy and training using virtual reality games. The program lasted for a total of 12 weeks. To examine the participants' functional recovery, their upper limb function was measured using the Fugl-Meyer Assessment and Manual Function Test before and after they completed the training and their daily living activities were measured using the Stroke Impact Scale before and after they completed the training. [Results] The experimental group participants' daily living activities improved after training. In addition, the experimental group scored significantly higher on all the tests than the control group, but upper extremity function between the groups was not significantly different. [Conclusion] Stroke patients who completed the additional training using virtual reality games showed significantly greater improvement in their daily living activities than those who only received traditional rehabilitation therapy.
    Language English
    Publishing date 2018-11-21
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2038898-6
    ISSN 0915-5287
    ISSN 0915-5287
    DOI 10.1589/jpts.30.1408
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  6. Article ; Online: Highly biomimetic spiking neuron using SiGe heterojunction bipolar transistors for energy-efficient neuromorphic systems.

    Kim, Yijoon / Kim, Hyangwoo / Oh, Kyounghwan / Park, Ju Hong / Baek, Chang-Ki

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 8356

    Abstract: We demonstrate a highly biomimetic spiking neuron capable of fast and energy-efficient neuronal oscillation dynamics. Our simple neuron circuit is constructed using silicon-germanium heterojunction based bipolar transistors (HBTs) with nanowire structure. ...

    Abstract We demonstrate a highly biomimetic spiking neuron capable of fast and energy-efficient neuronal oscillation dynamics. Our simple neuron circuit is constructed using silicon-germanium heterojunction based bipolar transistors (HBTs) with nanowire structure. The HBT has a hysteresis window with steep switching characteristics and high current margin in the low voltage range, which enables a high spiking frequency (~ 245 kHz) with low energy consumption (≤ 1.37 pJ/spike). Also, gated structure achieves a stable balance in the activity of the neural system by incorporating both excitatory and inhibitory signal. Furthermore, inhibition of multiple strengths can be realized by adjusting the integration time according to the amplitude of the inhibitory signal. In addition, the spiking frequency can be tuned by mutually controlling the hysteresis window in the HBTs. These results ensure the sparse activity and homeostasis of neural networks.
    Language English
    Publishing date 2024-04-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-58962-3
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  7. Article: Timing of orthognathic surgery: paradigm shift by surgery-first approach?

    Jeon, Ju-Hong

    Journal of the Korean Association of Oral and Maxillofacial Surgeons

    2017  Volume 43, Issue 2, Page(s) 61–62

    Language English
    Publishing date 2017-04-25
    Publishing country Korea (South)
    Document type Editorial
    ZDB-ID 2763851-0
    ISSN 2234-5930 ; 2234-7550
    ISSN (online) 2234-5930
    ISSN 2234-7550
    DOI 10.5125/jkaoms.2017.43.2.61
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  8. Article: The effects of training using EMG biofeedback on stroke patients upper extremity functions.

    Kim, Ju-Hong

    Journal of physical therapy science

    2017  Volume 29, Issue 6, Page(s) 1085–1088

    Abstract: Purpose] While electromyography (EMG) biofeedback has been recently used in diverse therapeutic interventions for stroke patients, research on its effects has been lacking. Most existing studies are confined to functions of the lower extremities, and ... ...

    Abstract [Purpose] While electromyography (EMG) biofeedback has been recently used in diverse therapeutic interventions for stroke patients, research on its effects has been lacking. Most existing studies are confined to functions of the lower extremities, and research on upper extremity functional recovery using EMG biofeedback training is limited. Therefore, this study examined the effects of training using EMG biofeedback on stroke patients' upper extremity functions. [Subjects and Methods] The subjects of this study included 30 hemiplegia patients whose disease duration was longer than six months. They were randomly divided into a control group (n=15) receiving traditional rehabilitation therapy and an experimental group (n=15) receiving both traditional rehabilitation therapy and training using EMG biofeedback. The program lasted for a total of four weeks. In order to examine the subjects' functional recovery, the author measured their upper limb function using the Fugl-Meyer Assessment and Manual Function Test, and activities of daily living using the Functional Independence Measure before and after training. [Results] A comparison of the study groups revealed that those in the experimental group experienced greater improvement in upper extremity function after training in all tests compared to the control group; however, there was no significant difference in terms of the activities of daily living between the two groups. The results of this study were as follows. [Conclusion] Thus, stroke patients receiving intensive EMG biofeedback showed more significant upper extremity functional recovery than those who only received traditional rehabilitation therapy.
    Language English
    Publishing date 2017-06-07
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2038898-6
    ISSN 0915-5287
    ISSN 0915-5287
    DOI 10.1589/jpts.29.1085
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  9. Article ; Online: Clinical analysis of tumescent anesthesia technique combined with superficial fascia rotational atherectomy in axillary bromhidrosis.

    Shi, Yong-Ping / Li, Ju-Hong / Wang, Yu / Wu, Yanfei

    Experimental and therapeutic medicine

    2023  Volume 25, Issue 6, Page(s) 266

    Abstract: Axillary bromhidrosis, which involves the apocrine sweat glands, severely affects adolescents. The present study aimed to evaluate the effect of tumescent anesthesia technique combined with superficial fascia rotational atherectomy treatment for axillary ...

    Abstract Axillary bromhidrosis, which involves the apocrine sweat glands, severely affects adolescents. The present study aimed to evaluate the effect of tumescent anesthesia technique combined with superficial fascia rotational atherectomy treatment for axillary bromhidrosis. The present retrospective study included a total of 60 patients with axillary bromhidrosis. These patients were divided into experimental and control groups. Patients in the control group were treated using the tumescent anesthesia technique combined with conventional surgery, while patients in the experimental group were treated using the anesthesia technique combined with superficial fascia rotational atherectomy. The intraoperative blood loss, operation time, histopathological examination and dermatology life quality index (DLQI) score were used to assess the treatment effect. The intraoperative blood loss and operation time were significantly lower in the experimental group compared with the control group. The histopathological results revealed that the sweat gland tissues in experiment group significantly decreased compared with that in control group. Furthermore, there was a significant improvement in axillary odor degree for postoperative patients, and the DLQI scores in experiment group were significantly lower compared with those in control group. The tumescent anesthesia technique combined with superficial fascia rotational atherectomy is a promising approach to treating patients with axillary bromhidrosis.
    Language English
    Publishing date 2023-04-20
    Publishing country Greece
    Document type Journal Article
    ZDB-ID 2683844-8
    ISSN 1792-1015 ; 1792-0981
    ISSN (online) 1792-1015
    ISSN 1792-0981
    DOI 10.3892/etm.2023.11965
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Comparative evaluation and analysis of DNA N4-methylcytosine methylation sites using deep learning.

    Ju, Hong / Bai, Jie / Jiang, Jing / Che, Yusheng / Chen, Xin

    Frontiers in genetics

    2023  Volume 14, Page(s) 1254827

    Abstract: DNA N4-methylcytosine (4mC) is significantly involved in biological processes, such as DNA expression, repair, and replication. Therefore, accurate prediction methods are urgently needed. Deep learning methods have transformed applications that ... ...

    Abstract DNA N4-methylcytosine (4mC) is significantly involved in biological processes, such as DNA expression, repair, and replication. Therefore, accurate prediction methods are urgently needed. Deep learning methods have transformed applications that previously require sequencing expertise into engineering challenges that do not require expertise to solve. Here, we compare a variety of state-of-the-art deep learning models on six benchmark datasets to evaluate their performance in 4mC methylation site detection. We visualize the statistical analysis of the datasets and the performance of different deep-learning models. We conclude that deep learning can greatly expand the potential of methylation site prediction.
    Language English
    Publishing date 2023-08-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2023.1254827
    Database MEDical Literature Analysis and Retrieval System OnLINE

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