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  1. Article

    Open Access

    Exploration of neuroanatomical characteristics to differentiate prodromal Alzheimer’s disease from cognitively unimpaired amyloid-positive individuals

    Differentiating clinical stages based solely on positive findings from amyloid PET is challenging. We aimed to investigate the neuroanatomical characteristics at the whole-brain level that differentiate prodro...

    Hak Hyeon Kim, Min Jeong Kwon, Sungman Jo, Ji Eun Park, Ji Won Kim in Scientific Reports (2024)

  2. Article

    Open Access

    Author Correction: Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies

    Seong Yun Jeong, Jeong Min Kim, Ji Eun Park, Seung Jun Baek in Scientific Reports (2024)

  3. Article

    Open Access

    Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies

    Temporal parameters during swallowing are analyzed for objective and quantitative evaluation of videofluoroscopic swallowing studies (VFSS). Manual analysis by clinicians is time-consuming, complicated and pro...

    Seong Yun Jeong, Jeong Min Kim, Ji Eun Park, Seung Jun Baek in Scientific Reports (2023)

  4. Article

    Open Access

    Efficiency of botulinum toxin injection into the arm on postural balance and gait after stroke

    The purpose of this study was to clarify the association between improvement of spasticity in hemiplegic patient’s upper extremity with Botulinum toxin injection and improvement in postural balance and gait fu...

    Junhee Lee, Ji Eun Park, Byung Heon Kang, Seung Nam Yang in Scientific Reports (2023)

  5. Article

    Open Access

    Author Correction: Federated learning enables big data for rare cancer boundary detection

    Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller in Nature Communications (2023)

  6. Article

    Open Access

    Association of cerebral white matter hyperintensities with coronary artery calcium in a healthy population: a cross-sectional study

    In brain magnetic resonance imaging (MRI), white matter hyperintensity (WMH) is a commonly encountered finding and is known to reflect cerebral small vessel disease. The aim of our study was to investigate the...

    **young Choi, Jung Youn Kim, Heon-Ju Kwon, Hye Jeong Choi in Scientific Reports (2022)

  7. Article

    Open Access

    Federated learning enables big data for rare cancer boundary detection

    Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging...

    Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller in Nature Communications (2022)

  8. Article

    Open Access

    Surface potential modulation as a tool for mitigating challenges in SERS-based microneedle sensors

    Raman spectroscopic-based biosensing strategies are often complicated by low signal and the presence of multiple chemical species. While surface-enhanced Raman spectroscopy (SERS) nanostructured platforms are ...

    Vitor Brasiliense, Ji Eun Park, Eric J. Berns, Richard P. Van Duyne in Scientific Reports (2022)

  9. Article

    Open Access

    Deep learning-based thin-section MRI reconstruction improves tumour detection and delineation in pre- and post-treatment pituitary adenoma

    Even a tiny functioning pituitary adenoma could cause symptoms; hence, accurate diagnosis and treatment are crucial for management. However, it is difficult to diagnose a small pituitary adenoma using conventi...

    Da Hyun Lee, Ji Eun Park, Yeo Kyung Nam, Joonsung Lee, Seonok Kim in Scientific Reports (2021)

  10. Article

    Open Access

    The relationship between ultrasound findings and thyroid function in children and adolescent autoimmune diffuse thyroid diseases

    To evaluate the association between thyroid echogenicity and heterogeneity seen on ultrasonography (US) and thyroid function in pediatric and adolescent populations with autoimmune diffuse thyroid diseases (AI...

    Ji Eun Park, Sook Min Hwang, Ji-Young Hwang, ** Hee Moon, Ik Yang in Scientific Reports (2021)

  11. Article

    Open Access

    Stability of MRI radiomic features according to various imaging parameters in fast scanned T2-FLAIR for acute ischemic stroke patients

    From May 2015 to June 2016, data on 296 patients undergoing 1.5-Tesla MRI for symptoms of acute ischemic stroke were retrospectively collected. Conventional, echo-planar imaging (EPI) and echo train length (ET...

    Leehi Joo, Seung Chai Jung, Hyunna Lee, Seo Young Park, Minjae Kim in Scientific Reports (2021)

  12. Article

    Open Access

    Combination of automated brain volumetry on MRI and quantitative tau deposition on THK-5351 PET to support diagnosis of Alzheimer’s disease

    Imaging biomarkers support the diagnosis of Alzheimer’s disease (AD). We aimed to determine whether combining automated brain volumetry on MRI and quantitative measurement of tau deposition on [18F] THK-5351 P...

    Minjae Kim, Sang Joon Kim, Ji Eun Park, Jessica Yun, Woo Hyun Shim in Scientific Reports (2021)

  13. Article

    Open Access

    Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type

    Generative adversarial network (GAN) creates synthetic images to increase data quantity, but whether GAN ensures meaningful morphologic variations is still unknown. We investigated whether GAN-based synthetic ...

    Ji Eun Park, Dain Eun, Ho Sung Kim, Da Hyun Lee, Ryoung Woo Jang in Scientific Reports (2021)

  14. Article

    Open Access

    Risk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practice

    Hydroxychloroquine has recently received attention as a treatment for COVID-19. However, it may prolong the QTc interval. Furthermore, when hydroxychloroquine is administered concomitantly with other drugs, it...

    Byung ** Choi, Yeryung Koo, Tae Young Kim, Wou Young Chung in Scientific Reports (2021)

  15. Article

    Open Access

    Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation

    The purpose of this study was to establish a high-performing radiomics strategy with machine learning from conventional and diffusion MRI to differentiate recurrent glioblastoma (GBM) from radiation necrosis (...

    Yae Won Park, Dongmin Choi, Ji Eun Park, Sung Soo Ahn, Hwiyoung Kim in Scientific Reports (2021)

  16. Article

    Open Access

    Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation

    Current image processing methods for dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) do not capture complex dynamic information of time-signal intensity curves. We investigated whether a...

    Ji Eun Park, Ho Sung Kim, Junkyu Lee, E.-Nae Cheong, Ilah Shin in Scientific Reports (2020)

  17. Article

    Open Access

    Survival outcome and prognostic factors in anaplastic oligodendroglioma: a single-institution study of 95 cases

    The aim of this study was to evaluate prognostic factors including surgical, radiographic, and histopathologic analyses in anaplastic oligodendroglioma (AO) patients. We reviewed the electronic records of 95 p...

    Dong-Won Shin, Seungjoo Lee, Sang Woo Song, Young Hyun Cho in Scientific Reports (2020)

  18. Article

    Open Access

    Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation

    We evaluated the diagnostic performance and generalizability of traditional machine learning and deep learning models for distinguishing glioblastoma from single brain metastasis using radiomics. The training ...

    Sohi Bae, Chansik An, Sung Soo Ahn, Hwiyoung Kim, Kyunghwa Han in Scientific Reports (2020)

  19. Article

    Open Access

    Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI

    We aimed to develop and validate a multiparametric MR radiomics model using conventional, diffusion-, and perfusion-weighted MR imaging for better prognostication in patients with newly diagnosed glioblastoma....

    Ji Eun Park, Ho Sung Kim, Youngheun Jo, Roh-Eul Yoo, Seung Hong Choi in Scientific Reports (2020)

  20. Article

    Open Access

    PRMT6-mediated H3R2me2a guides Aurora B to chromosome arms for proper chromosome segregation

    The kinase Aurora B forms the chromosomal passenger complex (CPC) together with Borealin, INCENP, and Survivin to mediate chromosome condensation, the correction of erroneous spindle-kinetochore attachments, a...

    Seul Kim, Nam Hyun Kim, Ji Eun Park, Jee Won Hwang, Nayeon Myung in Nature Communications (2020)

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