2010년 2월 26일 금요일

Hyunjin Park (박현진)



Hyunjin Park Ph.D.
Professor
School of Electronic and Electrical Engineering (primary)
Department of Electrical and Computer Engineering
 Department of Artificial Intelligence
Department of Biomedical Engineering
Center for Neuroscience Imaging Research
Sungkyunkwan University, Suwon, Korea

 hyunjinp@skku.edu, hyunjinp@gmail.com
+82-31-299-4956

 Medical Image Processing Lab (MIPL) 의료영상처리연구실

 성균관대학교 전자전기공학부/전자전기컴퓨터공학과 의료영상처리연구실은
대학원생과 박사후연구원을 모집합니다. 
대학원생에게는 학비지원을 포함한 많은 장학금 혜택이 있습니다. 
박사후연구원은 급여를 포함하여 국내최고 대우가 가능합니다. 
관심있으신 분들은 이메일로 지원하시기 바랍니다.


Education and Training
 Academic Appointments
  • Research Investigator: Department of Radiology, University of Michigan, Ann Arbor, MI, 2004-2007
  • Assistant Prof (Research): Department of Radiology, University of Michigan, Ann Arbor, MI, 2007-2009
  • Assistant Prof: Dept of Biomedical Engineering, Gachon University, Korea, 2009 - 2012
  • Assistant Prof: School of Electronic and Electrical Engineering, Sungkyunkwan University, 2012 - 2013
  • Associate Prof: School of Electronic and Electrical Engineering, Sungkyunkwan University, 2013 - 2019
  • Professor: School of Electronic and Electrical Engineering, Sungkyunkwan University, 2019 - current
Research Interest
  • Image processing for medical imagery including image registration and segmentation.
  • Computer vision for medical imagery.
  • Medical image analysis for cancer management.
  • Neuroimaging analysis, radiomics, and imaging genetics.
Editorial board and peer review
  • 2013-Current Editorial board for Biomedical Engineering Letters 
  • 2018-Current Editorial board for Medicine
  • 2019-Current Editorial board for Scientific Reports
  • 2020-Current Editorial board for Frontiers in Neuroscience
  • 2020-Current Editorial borad for Electronics
  • 2021-Current Editorial board for Life
  • 2002-Current Reviewer for IEEE Transactions on Medical Imaging
  • 2006-Current Reviewer for Medical Image Computing and Computer Aided Intervention (MICCAI)
  • 2006-Current Reviewer for IEEE Transactions on Image Processing 
  • 2009-Current Reviewer for Medical Physics

Journal Papers (n=176), Google Scholar Profile, ORCID

 JCR indexed (n = 161), main author papers in JCR (n = 117), LNCS (n = 13), scopus (n = 3), * equal contribution, # as corresponding author

[Preprint]
  • To be filled
[2024]
  • J. Kim, I. Na, E. S. Ko, H. Park#, “Tumor Synthesis conditioned on Radiomics”, accepted for Winter Conference on Applications of Computer Vision (WACV), October 2024.
  • J. Kwon, S. W. Seo, H. Park#, “Enhancing Cerebral Microbleed Segmentation with Pretrained UNETR++”, accepted for Bioinformatics and Biomedicine (BIBM) 2024, October 2024. Link
  • G. Jo, J. Kim, B. Park, H. Park#, “DeAFusion: Detail-Aware Image Fusion for Whitematter Hyperintensity Segmentation”, accepted for Bioinformatics and Biomedicine (BIBM) 2024, October 2024. Link
  • S. Pachade, P. Porwal, M. Kokare, G. Deshmukh, V. Sahasrabuddhe, Z. Luo, F. Han, Z. Sun, L. Qihan, S. Kamata, E. Ho, E. Wang, A. Sivajohan, S. Youn, K. Lane, J. Chun, X. Wang, Y. Gu, S. Lu, Y. Oh, H. Park, C. Lee, H. Yeh, K. Cheng, H. Wang, J. Ye, J. He, L. Gu, D. Müller, I. Soto-Rey, F. Kramer, H. Arai, Y. Ochi, T. Okada, L. Giancardo, G. Quellec, F. Mériaudeau, “RFMiD: Retinal Image Analysis for multi-Disease Detection Challenge”, accepted for Medical Image Analysis, October 2024. Link
  • S. Kim, M. Kim, J. Lee, B. Park#, H. Park#, “Prognostic model for predicting Alzheimer’s disease conversion using functional connectome manifolds”, Alzheimer's Research & Therapy, vol. 217, article 217, doi: 10.1186/s13195-024-01589-3, October 2024. Link
  • J. Kim*, M. Kim*, H. Park#, “Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRI”, accepted for Asian Conference on Computer Vision (ACCV) 2024, September 2024. Link
  • J. Chung, S. Kim, J. H. Won#, H. Park#, “Integrating Multimodal Neuroimaging and Genetics: A Structurally-Linked Sparse Canonical Correlation Analysis Approach”, IEEE Journal of Translational Engineering in Health & Medicine, vol. 12, p. 659 – 667, October 2024. Link
  • S. Oh*, S. Kim*, J. Lee, B. Park, J. H. Won, H. Park#, “Multimodal Analysis of Disease Onset in Alzheimer’s Disease Using Connectome, Molecular, and Genetics Data”, NeuroImage: Clinical, vol. 43, article 103660, doi: 10.1016/j.nicl.2024.103660, August 2024. Link
  • J. Kwon, J. Kim, H. Park#, “Leveraging Segmentation-Guided Spatial Feature Embedding for Overall Survival Prediction in Glioblastoma with Multimodal Magnetic Resonance Imaging”, Computer Methods and Programs in Biomedicine, vol. 255, article 108338, doi: 10.1016/j.cmpb.2024.108338, October 2024. Link
  • H. Cho, J. Choe, J. Kim, Y. Oh, H. Park, K. Lee, H. Y. Lee#, “3D Airway Geometry Analysis of Factors in Airway Navigation Failure for Lung Nodules”, Cancer Imaging, vol. 24, article 84, doi: 10.1186/s40644-024-00730-7, July 2024. Link
  • E. Kim, G. Kwon, J. Kim, H. Park#, “Semi-supervised Segmentation through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy”, Medical image computing and computer-assisted intervention (MICCAI) 2024, doi: 10.1007/978-3-031-72120-5_59, October 2024. Link
  • J. Kwon, S. W. Seo#, H. Park#, “Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI”, Medical image computing and computer-assisted intervention (MICCAI) 2024, doi: 10.1007/978-3-031-72069-7_3, October 2024. Link
  • I. Na, J. Kim, E. S. Ko, H. Park#, “RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features”, Medical image computing and computer-assisted intervention (MICCAI) 2024, doi: 10.1007/978-3-031-72384-1_68, October 2024. Link
  • H. Cho, J. Kim, I. Na, H. Song, J. Choi, I. Baek, J. Lee, J. Chung, C. Kim, K. Oh, O. Bang, G. Kim, W. Seo#, H. Park#, “Predicting cerebrovascular age and its clinical relevance: modeling using 3D morphological features of brain vessels”, Heliyon, vol. 10, no. 11, article e32375, doi: 10.1016/j.heliyon.2024.e32375, June 2024. Link
  • M. Eun, H. Song, J. Choi, H. Cho, H. J. Kim, J. Chung, T. Song, J. Jang, O. Bang, G. Kim, H. Park, D. S. Liebeskind, W. Seo#, “Global intracranial arterial tortuosity is associated with intracranial atherosclerotic burden”, Scientific Reports, vol. 14, article 11318, doi: 10.1038/s41598-024-61527-z, May 2024. Link
  • S. Kim, S. Yoo, K. Xie, J. Royer, S. Lariviere, K. Byeon, J. Lee, Y. Park, S. L. Valk, B. C. Bernhardt, S. Hong, H. Park#, B. Park#, “Comparison of different group-level templates in gradient-based multimodal connectivity analysis”, accepted for Network Neuroscience, April 2024. Link
  • Y. Park, M. J. Lee, S. Yoo, C. Y. Kim. J. Y. Namgung. Y. Park. H. Park, E. Lee, Y. D. Yoon. C. Paquola. B. C. Bernhardt, B. Park#, “GAN-MAT: Generative Adversarial Network-based Microstructural Profile Covariance Analysis Toolbox”, Neuroimage, vol. 291, article 120595, doi: 10.1016/j.neuroimage.2024.120595, May 2024. Link
  • S. Yoo, Y. Jang, S. Hong, H. Park, S. L Valk, B. C. Bernhardt, B. Park#, “Whole-brain structural connectome asymmetry in autism”, Neuroimage, vol. 288, article 120534, doi: 10.1016/j.neuroimage.2024.120534, March 2024. Link
  • Y. Jang, H. Choi, S. Yoo, H. Park, B. Park#, “Structural connectome alterations between individuals with autism and neurotypical controls using feature representation learning”,  vol. 20, article 2 (2024), doi: 10.1186/s12993-024-00228-z, Behavioral and Brain Functions, January 2024. Link
  • I. Na*, J. Noh*, C. K. Kim#, J.-W. Lee#, H. Park#, “Combined radiomics-clinical model to predict platinum-sensitivity in advanced high-grade serous ovarian carcinoma using multimodal MRI”, vol. 14, article 1341228, doi: 10.3389/fonc.2024.1341228, Frontiers in Oncology, January 2024. Link
  • J. Kim*, J. Kim*, Y. Park, H. Yoo, J. P. Kim, H. Jang, H. Park#, S. W. Seo#, “Distinct spatiotemporal patterns of cortical thinning in Alzheimer’s disease-type cognitive impairment and subcortical vascular cognitive impairment”, Communications Biology, vol. 7, article 198, doi: 10.1038/s42003-024-05787-5, February 2024. Link
  • H. Choi, K. Byeon, J. Lee. S. Hong, B. Park#, H. Park#, “Identifying subgroups of eating behavior traits unrelated to obesity using functional connectivity and feature representation learning”, Human Brain Mapping, vol. 45, no. 1, article e26581, doi: 10.1002/hbm.26581, January 2024. Link
  • J. Kim and H. Park#, “Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study”, Winter Conference on Applications of Computer Vision (WACV), p. 7604-7613, January 2024. Link
[2023]
  • J. H. Ahn*, J. Kwon*, J. H. Won, K. Byeon, J. Youn, H. Park#, and J. W. Cho#, “Waiting Impulsivity in Progressive Supranuclear Palsy-Richardson’s Syndrome”, Frontiers in Neuroscience, vol. 17, article 1240709, doi: /10.3389/fnins.2023.1240709. September 2023. Link
  • H. W. Lee*, E. Kim*, I. Na, C. K. Kim, S.I. Seo#, and H. Park#, “Novel multi-parametric magnetic resonance imaging-based deep learning and clinical parameter integration for the prediction of long- term biochemical recurrence-free survival in prostate cancer after radical prostatectomy”, Cancers, vol. 15, no. 13, article 3415, doi: 10.3390/cancers15133416, June 2023. Link
  • S. Bae, S. Joo, J. Choi, J. Pyo, H. Park, and T. Kuc*, “Semantic Knowledge-based Hierarchical Planning Approach for Multi-robot Systems”, Electronics, vol. 12, no. 9, article 2131, doi: 10.3390/electronics12092131, May 2023. Link
  • J. E. Sim, H. Song, J. Choi, J. Lee, I. Y. Baek, H. Cho, J. Kim, J. Chung, G. Kim, H. Park, O. Y. Bang#, and W. Seo#, “The effect of intensive statin therapy in non-symptomatic intracranial arteries: The STAMINA-MRI sub-study”, Frontiers in Neurology, vol. 14, article 1069502, doi: 10.3389/fneur.2023.1069502, March 2023. Link
  • S. Hong, H. Song, J. Choi, H. Cho, I. Baek, J. Lee, Y. Kim, D. Chung, J. Chung, O. Bang, G. Kim, H. Park, D. S. Liebeskind, and W. Seo#, “Automated in‑depth cerebral arterial labelling using cerebrovascular vasculature reframing and deep neural networks”, Scientific Reports, vol. 13, article   3255, doi: 10.1038/s41598-023-30234-6, February 2023. Link
  • C. H. Lee, H. Park, M. J. Lee#, and B. Park#, “Whole-brain functional gradients reveal cortical and subcortical alterations in patients with episodic migraine”, Human Brain Mapping,  vol. 44, no. 6, p. 2224-2233, April 2023. Link
  • J. Youn*, J. H. Won*, M. Kim, J. Kwon, S. H. Moon, M. Kim, J. H. Ahn, J. K. Mun, H. Park#, and J. W. Cho#, “Extra-Basal Ganglia Brain Structures are Related to Motor Reserve in Parkinson’s Disease”, Journal of Parkinson’s Disease, vol. 13, no. 1, p. 39-48, doi: 10.3233/JPD-223542, January 2023. Link
  • Y. J. Jeong, Y. M. Wi, H. Park, J. E. Lee, S.-H. Kim, and K. S. Lee#, “Current and Emerging Knowledge in COVID-19”, Radiology, vol. 360, no.2, doi: 10.1148/radiol.222914, February 2023. Link

[2022]
  • A. Shumel, H. Park, Y. Rathi, and A. Yang, “Deep Learning techniques and their applications to neuroimaging of the healthy and diseased brain”, Frontiers in Neuroscience, vol. 16, article 1118233,  doi: 10.3389/fnins.2022.1118233, December 2022. Link
  • E. Kim, H. Cho, J. Kwon, Y. Oh, E. S. Ko#, and H. Park#, “Tumor-attentive segmentation-guided GAN for synthesizing breast contrast-enhanced MRI without contrast agents”, IEEE Journal of Translational Engineering in Health & Medicine, vol. 11, no. 1, p. 32-43, November 2022. Link
  • S. Jeong, H. Cho, S. Lee, and H. Park#, “Robust Multimodal Fusion Network using Adversarial learning for Brain Tumor Grading”, Computer Methods and Programs in Biomedicine,  article 107165, doi: 10.1016/j.cmpb.2022.107165, November 2022. Link
  • S. Jeong, H. Cho, J. Kwon, and H. Park#, “Region-of-interest Attentive Heteromodal Variational Encoder-Decoder for Segmentation with Missing Modalities”, Asian Conference on Computer Vision (ACCV) 2022,  p. 3707-3723, December 2022. Link
  • Y. Oh, E. Ko#, and H. Park#, “Semi-supervised Breast Lesion Segmentation Using Local Cross-Triplet Loss for Ultrafast Dynamic Contrast-Enhanced MRI”, Asian Conference on Computer Vision (ACCV) 2022, p. 2713 – 2728, December 2022. Link
  • H. J. Yoon*, J. Choi*, E. Kim, S.-W. Uhm, N. Kang, W. Kim, G. Kim, H. Park#, and H. Y. Lee#, “Deep Learning Analysis to Predict EGFR Mutation Status in Lung Adenocarcinoma Manifesting as Pure Ground-Glass Opacity Nodules on CT”, Frontiers in Oncology, vol. 12, no. 1, article 951575, doi: 10.3389/fonc.2022.951575, September 2022. Link
  • S. Joo, S. Bae, J. Choi, H. Park, S. Lee, S. You, T. Uhm, J. Moon, and T. Kuc#, “A Flexible Semantic Ontological Model Framework and Its Application to Robotic Navigation in Large Dynamic Environments”, Electronics, vol. 11, no. 15, article 2420, doi: 10.3390/electronics11152420, August 2022. Link
  • H. Lee*, K. Byeon*, B. Park, S. H. Lee#, and H. Park#, “In-vivo data-driven parcellation of Heschl’s gyrus using structural connectivity”, Scientific Reports, vol. 12, article 11292, doi: 10.1038/s41598-022-15083-z, June 2022. Link
  • J. H. Shin, J. Kwon, J. U. Kim, H. Ryu, J. Ok, S. J. Kwon, H Park, and T. Kim#, “Wearable EEG Electronics for a Brain–AI Closed-Loop System to Enhance Autonomous Machine Decision Making”, npj Flexible Electronics, vol. 6, no. 1, article 32, doi: 10.1038/s41528-022-00164-w, May 2022. Link
  • E. Kim*, G. Lee*, S. Lee, H. Cho, H. Y. Lee#, and H. Park#, “Incremental benefits of size-zone matrix-based radiomics features for the prognosis of lung adenocarcinoma: Advantage of spatial partitioning on tumor evaluation”, European Radiology, vol. 32, no. 11, p.7691-7699, November 2022. Link
  • H. Choi*, K. Byeon*, B. Park, J. Lee, S. L. Valk, B. Bernhardt, A. D. Martino, M. Milham, S.-J. Hong#, and H. Park#, “Diagnosis-informed connectivity subtyping discovers subgroups of autism with reproducible symptom profiles”, Neuroimage, vol. 256, no. 1, article 119212, doi: 10.1016/j.neuroimage.2022.119212, August 2022. Link
  • H. Cho*, H. Kim*, S. Y. Nam, J. E. Lee, B.-K. Han, E. Y. Ko, J. S. Choi, H. Park#, and E. S. Ko#, “Measurement of Perfusion Heterogeneity within Tumor Habitats on Magnetic Resonance Imaging and its Association with Prognosis in Breast Cancer Patients”, Cancers, vol. 14, no. 8, article 1858, doi: 10.3390/cancers14081858, April 2022. Link
  • J. Youn*, M. Kim*, S. Park, J. S. Kim, H. Park#, and J. W. Cho#, “Pallidal Structural Changes Related with Levodopa-induced Dyskinesia in Parkinson’s disease”, Frontiers in Aging Neuroscience, vol. 14, doi: 10.3389/fnagi.2022.781883, May 2022. Link
  • M. J. Lee*, B. Park*, S. Cho, S. Kim, H. Park#, S. T. Kim#, and C.-S. Chung, “Cerebrovascular reactivity and deep white matter hyperintensities in migraine: a prospective CO2 targeting study”, Journal of Cerebral Blood Flow and Metabolism, vol. 42, no. 10, p. 1879- 1889, October 2022. Link
  • J. H. Won, J. Youn, and H. Park#, “Enhanced neuroimaging genetics using multi-view non-negative matrix factorization with sparsity and prior knowledge”, Medical Image Analysis, vol. 77, no. 1, article 102378, doi: 10.1016/j.media.2022.102378, April 2022. Link
  • H. Lee, J. Kwon, J. Lee, B. Park#, and H. Park#, “Disrupted stepwise functional brain organization in overweight individuals”, Communications Biology, vol. 5, no. 1, article 11, doi: 10.1038/s42003-021-02957-7, January 2022. Link

[2021]
  • C. Song*, H. Park*, H. Y. Lee#, S. Lee, J. Ahn, and S. Lee, “Evaluation of response to immune checkpoint inhibitors using a radiomics, lesion-level approach”, Cancers, vol. 13, no. 23, article 6050, doi: 10.3390/cancers13236050, December 2021. Link
  • H. Cho, C. K. Kim, and H. Park#, “Overview of radiomics in prostate imaging and future directions”, British Journal of Radiology, doi: 10.1259/bjr.20210539, November 2021. Link
  • H. Cho, H. Y. Lee#, E. Kim, G. Lee, J. Kim, J. Kwon, and H. Park#,  “Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans”, Communications Biology, vol. 4, no. 1, article 1286, doi: 10.1038/s42003-021-02814-7, November 2021. Link
  • H. Song, B. Park, H. Park, and W. M. Shim#, “Cognitive and neural state dynamics of narrative comprehension”, Journal of Neuroscience, vol. 41, no. 43, p.8972-8990, October 2021. Link
  • J. Choi, H. Cho, J. Kwon, H. Y. Lee, and H. Park#, “A cascaded neural network for staging in non-small cell lung cancer using pre-treatment CT”, Diagnostics, vol. 11, no. 6, article 1047, doi: 10.3390/diagnostics11061047, June 2021. Link
  • Y. Choi*, J. Kim*, H. Park, H. K. Kim, J. Kim, J. Y. Jeong, J. H. Ahn, and H. Y. Lee#, “Rethinking a non-predominant pattern in invasive lung adenocarcinoma: Prognostic dissection focusing on a high-grade pattern”, Cancers, vol. 13, no. 11, article 2785, doi: 10.3390/cancers13112785, June 2021. Link
  • C. Kim*, H. Cho*, J. Y. Choi, T. J. Franks, J. Han, Y. Choi, S. Lee, H. Park#, and K. S. Lee#, “Pleomorphic Carcinoma of the Lung: Prognostic Models of Semantic, Radiomics and Combined Features from CT and PET/CT in 85 Patients”, European Journal of Radiology Open, vol. 8, article 100351, doi: 10.1016/j.ejro.2021.100351, May 2021. Link
  • B. Park, H. Park, F. Morys, M. Kim, K. Byeon, H. Lee, S.-H. Kim, S. Valk, A. Dagher, and B. C. Bernhardt#, “Inter-individual body mass variations relate to fractionated functional brain hierarchies”, Communications Biology, vol. 4, no.1, article 735, doi: 10.1038/s42003-021-02268-x, June 2021. Link
  • M. Wu, W. Chen, Q. Chen#, and H. Park, “Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach”, IEEE Journal of Biomedical and Health Informatics,  vol. 25, no. 9, p. 3460-3472, September 2021. Link
  • G. Lee*, H. Park*, H. Y. Lee#, J. H. Ahn, I. Sohn, S. Lee, and J. Kim, “Tumor margin contains prognostic information: radiomic margin characteristics analysis in lung adenocarcinoma patients”, Cancers, vol. 13, no. 7, article 1676, doi: 10.3390/cancers13071676, April 2021. Link
  • S. Lee, H. Cho, J. Kwon, H. Y. Lee#, and H. Park#, “Are radiomics features universally applicable to different organs?”, Cancer Imaging, vol. 21, article 31, doi: 10.1186/s40644-021-00400-y, April 2021. Link
  • M. Kim, J. Bao, K. Liu, B. Park, H. Park, J. Y. Baik, and L. Shen, “A structural enriched functional network: an application to predict brain cognitive performance”, Medical Image Analysis, vol. 71, article 102026, doi: 10.1016/j.media.2021.102026, July 2021. Link
  • J. P. Kim*, J. Kim*, H. Jang, J. Kim, S. H. Kang, J. S. Kim, J. Lee, D. L. Na, H. J. Kim, S. W. Seo#, and H. Park#, “Predicting amyloid positivity in patients with mild cognitive impairment using a radiomics approach”, Scientific Reports, vol. 11, article 6954, doi: 10.1038/s41598-021-86114-4, March 2021. Link
  • J.-J. Lee, H. J. Kim, M. Ceko, B. Park, S. A. Lee, H. Park, M. Roy, S.-G. Kim, T. D. Wager# and C.-W. Woo# “A neuroimaging biomarker for sustained experimental and clinical pain”, Nature Medicine, vol. 27, no. 1, p. 174-182, doi: 10.1038/s41591-020-1142-7, January 2021. Link

[2020]
  • C. H. Kim*, H. Park*, H. Y. Lee#, J. H. Ahn, S. Lee, I. Sohn, J. Y. Choi, and H. K. Kim, “Computed Tomography Radiomics for Residual Positron Emission Tomography-Computed Tomography Uptake in Lymph Nodes after Treatment”, Cancers, vol. 12, no. 12, article 3564, doi: 10.3390/cancers12123564, November 2020 (* equal contribution). Link
  • H. Cho*, M. Park*, H. Park#, E. S. Ko#, N. Y. Hwang, Y.-H. Im, K. Ko, and S. H. Sim, “The Tumor-Fat Interface Volume of Breast Cancer on Pretreatment MRI Is Associated with Pathologic Response to Neoadjuvant Chemotherapy”, Biology, vol. 9, article 391, doi: 10.3390/biology9110391, November 2020 (* equal contribution). Link
  • B. Park, J.-J. Lee, H. J. Kim, C.-W. Woo, and H. Park#, “A neuroimaging marker for predicting longitudinal changes in pain intensity of subacute back pain based on large-scale brain network interactions”, Scientific Reports, vol. 10, article 17392, doi: 10.1038/s41598-020-74217-3, October 2020. Link
  • M. Kim*, J. S. Kim*, J. Youn, H. Park#, and J. W. Cho, “GraphNet-based imaging biomarker model to explain levodopa-induced dyskinesia in Parkinson’s disease”, Computer Methods and Programs in Biomedicine, vol. 196, article 105713, doi: 10.1016/j.cmpb.2020.105713, November 2020 (* equal contribution). Link
  • J. Kwon, H. Lee, S. Cho, C.-S. Chung, M. J. Lee#, and H. Park#, “Machine learning-based automated classification of headache disorders using patient-reported questionnaires”, Scientific Reports, vol. 10, article 14062, doi: 10.1038/s41598-020-70992-1, August 2020. Link 
  • B. Park, K. Byeon, M. J. Lee, C.-S. Chung, S. Kim, F. Morys, B. Bernhardt, A. Dagher, and H. Park#, “Whole-brain functional connectivity correlates of obesity phenotypes”, Human Brain Mapping, vol. 41, no. 17, p. 4912-4924, December 2020. Link
  • H. Lee*, B. Park*, K. Byeon, J. H Won, M. Kim, S. Kim, and H. Park#, “Multivariate association between brain function and eating disorders using sparse canonical correlation analysis”, PLoS ONE, vol. 15, no. 8, article e0237511, doi: 10.1371/journal.pone.0237511, August 2020 (* equal contribution). Link
  • M. Kwon, J. H. Shin#, H. Park#, H. Cho, E. Kim, and S. Y. Hahn, “Radiomics Based on Thyroid Ultrasound can Predict Distant Metastasis of Follicular Thyroid Carcinoma”, Journal of Clinical Medicine, vol. 9, no. 7, article 2156 doi: 10.3390/jcm9072156, July 2020. Link
  • H. J. Yoon*, H. Park*, H. Y. Lee#, I. Sohn, J. Ahn, and S. Lee, “Prediction of tumor doubling time of lung adenocarcinoma using radiomics margin characteristics”, Thoracic Cancer, vol. 11, no. 9, p. 2600-2609, September 2020 (* equal contribution). Link
  • S. W. Choi*, H. Cho*, H. Koo*, K. R. Cho, K.-H. Nenning, G. Langs, J. Furthner, B. Baumann, A. Woehrer, H. J. Cho, J. K. Sa, D.-S. Kong, H. J. Seol, J. Lee, D. Nam#, and H. Park#, “Multi-habitat radiomics unravels distinct phenotypic subtypes of glioblastoma with clinical and genomic significance”, Cancers, vol. 12, no.7, article 1707, doi: 10.3390/cancers12071707, June 2020 (* equal contribution). Link
  • J. H. Won, M. Kim, J. Youn#, and H. Park#, “Prediction of age at onset in Parkinson’s disease using objective specific neuroimaging genetics based on a sparse canonical correlation analysis”, Scientific Reports, vol. 10, article 11662, doi: 10.1038/s41598-020-68301-x,  July 2020. Link
  • K. H. Kim*, J. Kim*, H. Park*, H. Kim, S. Lee, I. Son, H. Y. Lee#, and W.-Y. Park#, “Parallel Comparison and Combining Effect of Radiomics and emerging Genomic Data for Prognostic Stratification of Non-Small-Cell Lung Carcinoma (NSCLC) patients”, Thoracic Cancer, vol. 11, no. 9, p. 2542-2551, September 2020 (* equal contribution). Link
  • H. W. Lee*, H. Cho*, J.-G. Joung*, H. G. Jeon, B. C. Jeong, S. S. Jeon, H. M. Lee, D.-H. Nam, W.-Y. Park, C. K. Kim#, S. I. Seo#, and H. Park#, “Integrative radiogenomics approach for risk assessment of post-operative metastasis in pathological T1 renal cell carcinoma: a pilot retrospective cohort study”, Cancers, vol. 12, no. 4, article 866, doi: 10.3390/cancers12040866, April 2020 (* equal contribution). Link
  • H. J. Yoon*, J. Kang*, H. Park*, I. Sohn, S.-H. Lee, and H. Y. Lee#, “Deciphering the Tumor Microenvironment through Radiomics in Non-Small Cell Lung Cancer: Correlation with Immune Profiles”, PLoS ONE, vol. 15, no. 4, article e0231227, doi: 10.1371/journal.pone.0231227, April 2020 (* equal contribution). Link
  • S.-H. Lee, H. Park, and E. S. Ko#, “Radiomics in Breast Imaging from Techniques to Clinical Applications: Review Article”, Korean Journal of Radiology, vol. 21, no. 7, p.779-792, July 2020. Link
  • B. Park, K. Byeon, M. J. Lee, S.-H. Kim, and H. Park#, “The orbitofrontal cortex functionally links obesity and white matter hyperintensities”, Scientific Reports, vol. 10, Article 2930, doi: 10.1038/s41598-020-60054-x, February 2020. Link
  • M. Kwon, J. H. Shin#, H. Park#, H. Cho, S. Y. Hahn, and K. W. Park, “Radiomics study of thyroid ultrasound for predicting BRAF mutation in papillary thyroid carcinoma: preliminary results”, American Journal of Neuroradiology, vol. 41, no. 4, p.700-705, April 2020. Link
  • H. Cho*, G. Lee*, H. Y. Lee#, and H. Park#, “Marginal radiomics features as imaging biomarkers for pathological invasion in lung adenocarcinoma”, European Radiology, vol. 30, no. 5, p.2984-2994, May 2020 (* equal contribution). Link
  • G. Lee*, H. Park*, S. H. Bak, and H. Y. Lee#, “Radiomics in Lung Cancer from Basic to Advanced: Current Status and Future Directions”, Korean Journal of Radiology, vol. 21, no. 2, p. 159-171, February 2020 (* equal contribution). Link
  • J. Hong, B. Park, M. J. Lee, C.-S. Chung, J. Cha, and H. Park#, “Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs”, Computer Methods and Programs in Biomedicine, vol. 183, article 105065, doi: 10.1016/j.cmpb.2019.105065, January 2020. Link
  • M. Kim, J. H. Won, J. Youn, and H. Park#, “Joint-connectivity-based sparse canonical correlation analysis of imaging genetics for detecting biomarkers of Parkinson’s disease”, IEEE Transaction on Medical Imaging, vol. 39. no. 1, p.23-34, January 2020. Link
  • B. Park, C.-S. Chung, M. J. Lee#, and H. Park#, “Accurate neuroimaging biomarkers to predict body mass index in adolescents: a longitudinal study”, Brain Imaging and Behavior, vol. 14, no. 5, p.1682 – 1695, October 2020. Link

 [2019]
  • S.-J. Son, B. Park, K. Byeon, and H. Park#, “Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks”, Computers in Biology and Medicine, vol. 115, article 103528, doi: 10.1016/j.compbiomed.2019.103528, December 2019. Link
  • M. Wu, X. Cai, Q. Chen, Z. Ji, S. Niu, T. Leng, D. L. Rubin, and H. Park#, “Geographic Atrophy Segmentation in SD-OCT Images Using Synthesized Fundus Autofluorescence Imaging”, Computer Methods and Programs in Biomedicine, vol. 182, article 105101, doi: 10.1016/j.cmpb.2019.105101, December 2019. Link
  • J. Ha, M. J. Lee, S. J. Kim, B. Park, H. Park, S. Cho, J.-W. Chung, W.-K. Seo, G.-M. Kim, O. Y. Bang, and. C.-S. Chung, “Prevalence and Impact of Venous and Arterial Thromboembolism in Patients With Embolic Stroke of Undetermined Source With or Without Active Cancer”, Journal of the American Heart Association, vol. 8, no. 21, e013215, doi: 10.1161/JAHA.119.013215, November 2019. Link
  • M. J. Lee*, B. Park*, S. Cho, H. Park, S.-T. Kim, and C.-S. Chung, “Dynamic functional connectivity of the migraine brain: a resting-state functional magnetic resonance imaging study.”, Pain, vol. 160, no. 12, p. 2776-2786, December 2019. Link
  • S.-H. Lee, H. Cho, H. Y. Lee#, and H. Park#, “Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: A focus on lung cancer”, Cancer Imaging, vol. 19, article 54, doi: 10.1186/s40644-019-0239-z, July 2019. Link
  • S. H. Bak*, H. Park*, I. Sohn*, S.-H. Lee, M.-J. Ahn, and H. Y. Lee, “Prognostic Impact of Longitudinal Monitoring of Radiomic Features in Patients with Advanced Non-Small Cell Lung Cancer”, Scientific Reports, vol. 9. no. 1, article 8730, doi: 10.1038/s41598-019-45117-y, June 2019 (* equal contribution). Link
  • K. J. Nam*, H. Park*, E. S. Ko, Y. Lim, H. Cho, and J. E. Lee, “Radiomics Signature on 3T Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Estrogen Receptor-Positive Invasive Breast Cancers: Preliminary Results for Correlation with Oncotype DX Recurrence Scores", Medicine, vol. 98, no. 23, e15871, doi: 10.1097/MD.0000000000015871, June 2019 (* equal contribution). Link
  • S.-H. Kim*, B. Park*, K. Byeon, H. Park, Y. Kim, Y.-M. Kim, and J. Chung, “The effects of high-frequency repetitive transcranial magnetic stimulation on resting-state functional connectivity in obese adults”, Diabetes, Obesity and Metabolism, vol. 21, no.8, p. 1956-1966, August 2019 (* equal contribution). Link
  • O. James, H. Park, and. S.-G. Kim, “Impact of sampling rate on statistical significance for single subject fMRI connectivity analysis”, Human Brain Mapping, vol. 40, no. 11, p. 3321-3337, August 2019. Link
  • M. J. Lee*, B. Park*, S. Cho, S. T. Kim, H. Park, and C.-S. Chung, “Increased connectivity of pain matrix in chronic migraine: a resting-state functional MRI study”, Journal of Headache and Pain, vol. 20, article 29, doi: 10.1186/s10194-019-0986-z, March 2019 (* equal contribution). Link
  • D. Park, J. Won, U. Shin, H. Park, G. Song, J. Jang, H. Park, C.-W. Kim, and J. B. Seo, “Transdermal Drug Delivery using a Specialized Cavitation Seed for Ultrasound”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 66, no. 6, p.1057-1064, June 2019. Link
  • H. J. Kuijf, J. M. Biesbroek, J. de Bresser, R. Heinen, S. Andermatt, M. Bento, M. Berseth, M. Belyaev, M. J. Cardoso, A. Casamitjana, D. L. Collins, M. Dadar, A. Georgiou, M. Ghafoorian, D. Jin, A. Khademi, J. Knight, H. Li, X. Llado, M. Luna, Q. Mahmood, R. McKinley, A. Mehrtash, S. Ourselin, B. Park, H. Park, S. H. Park, S. Pezold, E. Puybareau, L. Rittner, C. H. Sudre, S. Valverde, V. Vilaplana, R. Wiest, Y. Xu, Z. Xu, G. Zeng, J. Zhang, G. Zheng, C. Chen, W. van der Flier, F. Barkhof, M. A. Viergever, and G. J. Biessels, “Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge”, IEEE Transaction on Medical Imaging, vol. 38, no. 11, p. 2556-2568, November 2019. Link
  • B. Park, W. M. Shim, O. James, and H. Park#, “Possible links between the lag structure in visual cortex and visual streams using fMRI”, Scientific Reports, vol. 9, article 4283, doi: 10.1038/s41598-019-40728-x, March 2019. Link
  • K. Byeon*, B. Park*, and H. Park#, “Spatially guided functional correlation tensor: A new method to associate body mass index and white matter neuroimaging”, Computers in Biology and Medicine, vol. 107, p. 137-144, April 2019 (* equal contribution). Link
  • B. Park, K. Byeon, and H. Park#, “FuNP (Fusion of Neuroimaging Preprocessing) pipelines: A fully automated preprocessing software for functional magnetic resonance imaging”, Frontiers in Neuroinformatics, vol. 13, article 5, doi: 10.3389/fninf.2019.00005, February 2019. Link
  • J. H. Won, M. Kim, B. Park, J. Youn, and H. Park#, “Effectiveness of imaging genetics analysis to explain degree of depression in Parkinson’s disease”, PLoS ONE, vol. 14, no. 2, article e0211699, doi: 10.1371/journal.pone.0211699, February 2019. Link
  • G. Lee, S. H. Bak, H. Y. Lee, J. Y. Choi, H. Park, S.-H. Lee, Y. Ohno, M. Nishino, E. v. Beek, and K. S. Lee, “Measurement Variability in Treatment Response Determination for Non-Small Cell Lung Cancer: Improvements using Radiomics”, Journal of Thoracic Imaging, vol. 34, no. 2, p.103-115, March 2019. Link
  • M. J. Lee*, B. Park*, S. Cho, H. Park#, and C.-S. Chung#, “Cerebrovascular reactivity as a determinant of deep white matter hyperintensities in migraine”, Neurology,  vol. 92, no. 4, p.e342-e350, January 2019 (* equal contribution). Link
  • J. Kim, S.-Y. Ryu, S.-H. Lee, H. Y. Lee#, and H. Park#, “Clustering approach to identify intratumor heterogeneity combining FDG PET and diffusion-weighted MRI in lung adenocarcinoma”, European Radiology, vol. 29, no. 1, p.468-475, January 2019. Link

 [2018]
  • H. Cho, S.-H. Lee, J. Kim, and H. Park#, “Classification of the glioma grading using radiomics analysis”, PeerJ, vol.6, article 5982, doi:10.7717/peerj.5982, November 2018. Link
  • B. Park, M. J. Lee, M. Kim, S.-H. Kim, and H. Park#, “Structural and functional brain connectivity changes between people with abdominal and non-abdominal obesity and their association with behaviors of eating disorders”, Frontiers in Neuroscience, vol. 12, article 741, doi: 10.3389/fnins.2018.00741, October 2018. Link
  • Y. Kim*, H. Cho*, S. T. Kim, H. Park#, D. Nam, and D.-S. Kong, “Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI”, Neuroradiology, vol. 60, no. 12, p.1297-1305, December 2018 (* equal contribution). Link
  • H. Park*, Y. Lim*, E. S. Ko, H. Cho, J. E. Lee, B. Han, E. Y. Ko, J. S. Choi, and K. W. Park, “Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer”, Clinical Cancer Research, vol. 24, no. 19, p.4705-4714, October 2018 (* equal contribution). Link
  • S. W. Lee*, H. Park*, H. Y. Lee, I. Sohn, S.-H. Lee, J. Kang, J.-M. Sun, and M.-J. Ahn, “Deciphering Clinicoradiologic Phenotype for Thymidylate Synthase Expression Status in Patients with Advanced Lung Adenocarcinoma Using a Radiomics Approach”, Scientific Reports, vol. 8, article 8968, doi:10.1038/s41598-018-27273-9, June 2018 (* equal contribution). Link
  • J. Kim, J. Hong, and H. Park#, “Prospects of deep learning for medical imaging”, Precision and Future Medicine, vol. 2, no. 2, p.37-52, June 2018. Link
  • J. Kim, S. J. Choi, S.-H. Lee, H. Y. Lee, and H. Park#, “Predicting survival using pre-treatment CT for HCC patients treated with TACE: comparison of models using radiomics”, American Journal of Roentgenology, vol. 211, no. 5, p.1026-1034, November 2018. Link
  • G. Lee*, H. Park*, I. Sohn, S.-H. Lee, S. H. Song, H. Kim, K. S. Lee, Y. M. Shim, and H. Y. Lee, “Comprehensive CT Radiomics Analysis of Lung Adenocarcinoma for Prognostication” Oncologist, vol. 23, no. 7, p. 806-813, July 2018 (* equal contribution). Link
  • B. Park*, M. J. Lee*, S.-H. Lee, J. Cha, C.-S. Chung, S. T. Kim, and H. Park#, “DEWS (DEep White matter hyperintensity Segmentation framework): A fully automated pipeline for detecting small deep white matter hyperintensities in migraineurs” Neuroimage: Clinical, vol. 18, p. 638-647, March 2018 (* equal contribution). Link
  • S. H. Bak*, H. Park*, H. Y. Lee, Y. Kim, H.-L. Kim, S.-H. Jung, H. Kim, J. Kim, and K. Park, “Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach” Scientific Reports, vol. 8, article 3284, doi:10.1038/s41598-018-21706-1, February 2018 (* equal contribution). Link
  • B. Park, K.-J. Tark, W. M. Shim#, and H. Park#, “Functional connectivity based parcellation of early visual cortices”, Human Brain Mapping, vol. 39, no. 3, p.1380-1390, March 2018. Link 
  • M. Wu, Q. Chen, X. He, P. Li, W. Fan, S. Yuan, and H. Park#, “Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images with Neurosensory Retinal Detachment Guided by Enface Fundus Imaging”, IEEE transactions on Biomedical Engineering, vol. 65, no. 1, p. 87-95, January 2018. Link
  • B. Park, T. Moon, and H. Park#, “Dynamic functional connectivity analysis reveals improved association between brain networks and eating behaviors compared to static analysis”, Behavioural Brain Research, vol. 337, p.114-121, January 2018. Link

 [2017]
  • M. Wu, W. Fan, Q. Chen, Z. Du, X. Li, S. Yuan, and H. Park#, “Three-dimensional continuous max flow optimization-based serous retinal detachment segmentation in SD-OCT for central serous chorioretinopathy”, Biomedical Optics Express, vol. 8, no. 9, p.4257-4274, September 2017. Link
  • Y. Lee, B. Park, O. James, S.-G. Kim, and H. Park#, “Autism spectrum disorder related functional connectivity changes in the language network in children, adolescents and adults”, Frontiers in Human Neuroscience, vol. 11, article 418, doi:10.3389/fnhum.2017.00418, August 2017. Link
  • J. Hong, B. Park, H. Cho, and H. Park#, “Age-related connectivity differences between attention deficit and hyperactivity disorder patients and typically developing subjects: a resting-state functional MRI study”, Neural Regeneration Research, vol. 12, no. 10, p. 1640-1647, October 2017. Link
  • B. Park, J. Hong, and H. Park#, “Neuroimaging biomarkers to associate obesity and negative emotions”, Scientific Reports, vol. 7, article 7664, doi:10.1038/s41598-017-08272-8, August 2017. Link
  • M. Kim, J. Kim, S.H. Lee, and H. Park#, “Imaging genetics approach to Parkinson’s disease and its correlation with clinical score”, Scientific Reports, vol. 7, article 46700, doi:10.1038/srep46700, April 2017. Link
  • S.-J. Son, J. Kim, and H. Park#, “Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients”, PLoS ONE, vol. 12, no. 3, article e0173426, doi:10.1371/journal.pone.0173426, March 2017. Link
  • H. Park, Y.-H. Park, J. Cha, S. W. Seo, D. L Na, and J.-M. Lee, “Agreement between functional connectivity and cortical thickness-driven correlation maps of the medial frontal cortex”, PLoS ONE, vol. 12, no. 3, article e0171803, doi:10.1371/journal.pone.0171803, March 2017. Link
  • S. J. Choi*, J. Kim*, H. S. Kim, and H. Park#, “Parametric response mapping of dynamic CT: Enhanced prediction of survival in hepatocellular carcinoma patients treated with transarterial chemoembolization”, Abdominal Radiology, vol. 42, no.7, p.1871-1879, July 2017  (* equal contribution). Link
  • S. H. Song*, H. Park*, G. Lee*, H. Y. Lee, I. Sohn, H. S. Kim, S. H. Lee, J. Y. Jeong, J. Kim, K. S. Lee, and Y. M. Shim, “Imaging phenotyping using radiomics to predict micropapillary pattern within lung adenocarcinoma”, Journal of Thoracic Oncology, vol. 12, no. 4, p.624-632, April 2017 (* equal contribution). Link
  • G. Lee, H. Y. Lee, H. Park, M. L. Schiebler, E. J. R. van Beek, Y. Ohno, J. B. Seo, and A. Leung, “Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management: State of the art”, European Journal of Radiology, vol. 86, p.297-307, January 2017. Link

 [2016]
  • S.-J. Son, M. Kim, and H. Park#, “Imaging analysis of Parkinson's disease patients using SPECT and tractography”, Scientific Reports, vol. 6, article 38070, doi: 10.1038/srep38070, November 2016. Link
  • B. Park, J. Hong, S.H. Lee, and H. Park#, “Functional connectivity of child and adolescent attention deficit hyperactivity disorder patients: correlation with IQ”, Frontiers in Human Neuroscience, vol. 9, no. 10. article 565, doi: 10.3389/fnhum.2016.00565, November 2016.  Link
  • M. Kim and H. Park# “Structural connectivity profile of scans without evidence of dopaminergic deficit (SWEDD) patients compared to normal controls and Parkinson's disease patients”, SpringerPlus, vol. 5, article 1421, doi: 10.1186/s40064-016-3110-8, August 2016. Link
  • C. Ahn, T. D. Bui, Y.-W. Lee, J. Shin, and H. Park, “Fully automated, level set-based segmentation for knee MRIs using an adaptive force function and template: data from the osteoarthritis initiative”, BioMedical Engineering OnLine, vol 15, no. 1, article 99, doi: 10.1186/s12938-016-0225-7, August 2016. Link
  • S. Yoon, H. Park, and J. Yi “An Efficient Bayesian Approach to Exploiting the Context of Object-Action Interaction for Object Recognition”, Sensors vol. 16, no. 7, article 981, doi: 10.3390/s16070981, June 2016. Link
  • D. Park, G. Song, Y. Jo, J. Won, T. Son, O. Cha, J. Kim, B. Jung, H. Park, C.-W. Kim, and J. Seo, “Sonophoresis using Ultrasound Contrast Agents: Dependence on Concentration”, PLoS ONE, vol. 11, no. 6, article e0157707, doi: 10.1371/journal.pone.0157707, June 2016. Link
  • B. Park, M. Kim, J. Seo, J.-M. Lee, and H. Park#, “Connectivity analysis and feature classification in attention deficit hyperactivity disorder sub-types: A task functional magnetic resonance imaging study”, Brain Topography, vol. 29, no. 3, p. 429-439, 2016. Link
  • B. Park, J. Seo, and H. Park#, “Functional brain networks associated with eating behaviors in obesity”, Scientific Reports, vol. 6, article 23891, doi: 10.1038/srep23891, March 2016. Link
  • M. Kim and H. Park#, “Using tractography to distinguish SWEDD from Parkinson’s disease patients based on connectivity”,Parkinson's Disease, vol. 2016, article 8704910, doi: 10.1155/2016/8704910. Mar 2016. Link
  • B. Park and H. Park#, “Connectivity differences between adult male and female patients with attention deficit hyperactivity disorder according to resting-state fMRI”, Neural Regeneration Research, vol. 11, no.1, p.119-25, 2016. Link
  • S.-J. Choi*, J.-H. Kim*, J. Seo, H.-S. Kim, J.-M. Lee, and H. Park#, “Parametric Response Mapping of Dynamic CT for Predicting Intrahepatic Recurrence of Hepatocellular Carcinoma after Conventional Transcatheter Arterial Chemoembolization”, European Radiology, vol. 26, no. 1, p.225-34, 2016 (* equal contribution). Link

[2015]
  • B. Park, J. Seo, J. Yi, and H. Park#, “Structural and functional brain connectivity of people with obesity and prediction of body mass index using connectivity”, PLoS ONE, vol. 10, no. 11, article e0141376, doi: 10.1371/journal.pone.0141376, Nov 2015. Link
  • O.-H. Kwon, H. Park, S. W. Seo, D. L. Na, and J.-M. Lee, “A Framework to Analyze Cerebral Mean Diffusivity Using Surface Guided Diffusion Mapping in Diffusion Tensor Imaging”, Frontiers in Neuroscience, vol. 9, article 236, doi: 10.3389/fnins.2015.00236, Jul 2015. Link
  • S.-J. Son, J.-H. Kim, J. Seo, J.-M. Lee, and H. Park#, “Connectivity Analysis of Normal and Mild Cognitive Impairment Patients based on FDG and PiB-PET Images”, Neuroscience Research, vol. 98, p.50-58, 2015. Link
  • S. H. Lee, M. Kim, and H. Park#, “Planning for selective amygdalohippocampectomy involving less neuronal fiber damage based on brain connectivity using tractography”, Neural Regeneration Research, vol. 10, no. 7, p. 1107-1112, 2015. Link
  • D. Park*, B.-K. Jung*, H. Park*, H. Lee, G. Lee, J. Park, U. Shin, J. H. Won, Y. J. Jo, J. W. Chang, S. W. Lee, D. S. Yoon, C.-W. Kim, and J. Seo, “Sound Packing DNA: packing open circular DNA with low-intensity ultrasound”, Scientific Reports, vol. 5, article 9846, doi: 10.1038/srep09846, April 2015 (* equal contribution). Link
  • D. Park, B.-K. Jung, Y. Lee, J.-Y. Jang, M.-K. Kim, J.-K. Lee, H. Park, J. Seo, and C.-W. Kim, “Evaluation of in vivo antitumor effects of ANT2 shRNA delivered using PEI and ultrasound with microbubbles”, Gene Therapy, vol. 22, no. 4, p.325-332, 2015. Link

[2014]
  • S.H. Lee, J. Seo, J.-M. Lee, and H. Park#, "Differences in early and late mild cognitive impairment tractography using diffusion tensor MRI", NeuroReport, vol. 25, no.17, p.1393-1398, 2014. Link
  • J. Seo, S.-Y. Hwang, J.-M. Lee, and H. Park#, “Spatially varying regularization of deconvolution in 3D microscopy”, Journal of Microscopy, vol. 255, no. 2, p.94-103, 2014. Link
  • H. Park, J. Yang, J. Seo, Y. Choi, K. Lee, and J.-M. Lee, “Improved explanation of human intelligence using cortical features with second order moments and regression”, Computers in Biology and Medicine, vol. 47, p.139-146, 2014. Link
  • S.-J. Choi*, J.-H. Kim*, J. Seo, H.-S. Kim, J.-M. Lee, and H. Park#, “Parametric response mapping of dynamic CT as an imaging biomarker to distinguish viability of hepatocellular carcinoma treated with transcatheter arterial chemoembolization”, Abdominal Imaging, vol. 39, no. 3, p.518-525, 2014 (* equal contribution). Link
  • S.H. Lee and H. Park#, “Parametric response mapping of longitudinal PET scans and their use in detecting changes in Alzheimer's diseases”, Biomedical Engineering Letters, vol. 4, no. 1, p. 73-79, 2014. Link (scopus)
  • S.-J. Choi, H.-S. Kim, and H. Park#, "Differentiation of Solid Pancreatic Tumors by Using Dynamic Contrast-Enhanced MRI", Journal of the Korean Physical Society, vol. 64, no. 2, p. 313-321, 2014. Link
  • D. Park, H. Park, J. Seo, and S. Lee, “Sonophoresis in transdermal drug deliverys”, Ultrasonics, vol. 54, p. 56-65, 2014. Link

[2013]
  • J. Park, D. Park, U. Shin, S. Moon, C. Kim, H. Kim, H. Park, K. Choi, B. Jung, J. Oh, and J. Seo, “Synthesis of Laboratory Ultrasound Contrast Agents”, Molecules, vol. 18, 13078-13095, 2013. Link
  • H. Park, J. Yang, J. Seo, and J.-M. Lee, “Dimensionality reduced cortical features and their use in predicting longitudinal changes in Alzheimer's disease”, Neuroscience Letters, vol. 550, p. 17-22, 2013. Link
  • J. Yang, U. Yoon, H. Yun, K. Im, Y. Y. Choi, K.-H. Lee, H. Park, M. G. Hough, and J.-M. Lee, “Prediction for Human Intelligence using Morphometric Characteristics of Cortical Surface: Partial Least Square Analysis”, Neuroscience, vol. 246, p. 351-361, 2013. Link
  • J. Cha, H. J. Jo, H. J. Kim, S. W. Seo, H.-S. Kim, U. Yoon, H. Park, D. L. Na, J.-M. Lee, "Functional alteration patterns of default mode network: comparisons of normal aging, amnestic mild cognitive impairment and Alzheimer's disease", European Journal of Neuroscience,vol. 37, p. 1916-1924, 2013. Link
  • S.-J. Choi, H.-S. Kim, J. H. Kim, H.-Y. Choi, and H. Park#, "Use of Arterial to Equilibrium Enhancement Washout to Predict Viability in Liver Cancers Treated with Transcatheter Arterial Chemoembolization", Journal of the Korean Physical Society,vol. 62, p.1204-1210, 2013. Link
  • D. Park, J. Park, H. Kim, C. H. Kim, T.-Y. Han, H. Park, and J. Seo, “A high-precision angular control system for HIFU calibration”, Ultrasonics, vol. 53, p. 45-52, 2013.Link

[2012 @ Sungkyukwan University]
  • H. Park, J. Yang, J. Seo, and J.-M. Lee, “Dimensionality reduced cortical features and their use in the classification of Alzheimer's disease and mild cognitive impairment”, Neuroscience Letters, vol. 529, p. 123-127, 2012. Link
  • H. Park and C. Meyer, “Value of a probabilistic atlas in medical image segmentation regarding non-rigid registration of abdominal CT scans”, Journal of the Korean Physical Society, vol. 61, p.1156-1162, 2012. Link
  • H. Park, “Comparison of Distance Measures for Manifold Learning: Application to Alzheimer’s Brain Scans”, Journal of the Korean Physical Society, vol. 61, p. 1148-1155, 2012.Link

[2009-2012 @ Gachon University]
  • H. Park, J. S. Park, J.-K. Seong, D. L. Na, and J.-M. Lee, “Cortical surface registration using spherical thin-plate spline with sulcal lines and mean curvature as features”, Journal of Neuroscience Methods, vol. 206, p.46-53, 2012. Link
  • H. Park, “ISOMAP induced manifold embedding and its application to Alzheimer's disease and mild cognitive impairment”, Neuroscience Letters, vol. 513, p.140-144, 2012. Link
  • D. Park, H. Ryu, H. S. Kim, Y.-S. Kim, K.-S. Choi, H. Park, and J. Seo, “Sonophoresis using ultrasound contrast agents for transdermal drug delivery: An in vivo experimental study”, Ultrasound in Medicine and Biology, vol. 38, p.642-650, 2012. Link
  • H. Park, D. Wood, H. Hussain, C. Meyer, R. Shah, T. Johnson, T. Chenevert, and M. Piert, “Introducing Parametric PET/MR Fusion Imaging of Primary Prostate Cancer”, Journal of Nuclear Medicine, vol. 53, p.546-551, 2012. Link
  • S. Sarkar, T. D. Johnson, B Ma, H. Park, P. H. Bland, T. L. Chenevert, A.F. Schott, B.D. Ross, and C. R. Meyer, “Evaluation of an automatic registration-based algorithm for direct measurement of volume change in tumors”, International Journal of Radiation Oncology Biology Physics, vol. 83, p.1038-1046, 2012. Link
  • H. Park, “Manifold embedding induced by multidimensional scaling and its application to Alzheimer’s disease and mild cognitive impairment”, Journal of the Korean Physical Society, vol. 59, No. 6, p. 3414-3421, 2011. Link
  • R. Garcia-Parra, D. Wood, R. B. Shah, J. Siddiqui, H. Hussain, H. Park, T. Desmond, C. Meyer, and M. Piert, “Investigation on tumor hypoxia in resectable primary prostate cancer as demonstrated by (18)F-FAZA PET/CT utilizing multimodality fusion techniques”, European Journal of Nuclear Medicine and Molecular Imaging, vol. 10, p. 1816-1823, 2011.Link
  • H. Park and J. Seo, “Application of Multidimensional Scaling to Quantify Shape in Alzheimer's Disease and Its Correlation with Mini Mental State Examination: A Feasibility Study “, Journal of Neuroscience Methods, vol. 194(2), p.380-385, 2011. Link
  • H. Park, A. Hero III, P. Bland, M. Kessler, J. Seo, and C. Meyer, “Construction of abdominal probabilistic atlases and their value in segmentation of normal organs in abdominal CT scans”, IEICE Trans. On Information and Systems, vol. E93-D, p.2291-2301, 2010. Link
  • H. Park, C. Meyer, D. Wood, A. Khan, R. Shah, H. Hussain, J. Siddiqui, J. Seo, T. Chenevert, and M. Piert, “Validation of automatic target volume definition as demonstrated for 11C-Choline PET/CT of human prostate cancer using multi-modality fusion techniques”, Academic Radiology, vol. 17, p.614-623, 2010. Link
  • D. Park, J. Yoon, J. Park, B. Jung, H. Park, and J. Seo, “Transdermal drug delivery aided by an ultrasound contrast agent: An in vitro experimental study”, Open Biomedical Engineering Journal, vol.4, p. 56-62, 2010.Link (scopus)
  • M. Piert, H. Park, A. Khan, J. Siddiqui, H. Hussain, T. Chenevert, D. Wood, T. Johnson, R. Shah, and C. Meyer, “Detection of Aggressive Primary Prostate Cancer with 11C-Choline PET/CT Using Multimodality Fusion Techniques”, Journal of Nuclear Medicine, vol. 50, p. 1585-1593, 2009. Link

[2003-2008 @ University of Michigan] 
  • H. Park, M. Piert, A. Khan, R. Shah, H. Hussain, J. Siddiqui, T. Chenevert, and C. Meyer, “Registration methodology for histological sections and in vivo imaging of human prostate”, Academic Radiology, p.1027-1039, vol. 15, 2008. Link
  • B. Ma, R. Narayanan, H. Park, A. O. Hero III, P. H. Bland, C. R. Meyer, “Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams using Entropic Graphs”, Lecture notes in computer sciences, p.270-282, vol. 4584, in IPMI, 2007. Link (LNCS)
  • H. Park, P. H. Bland, A. O. Hero III, and C. R. Meyer, “Least biased target selection in probabilistic atlas construction”, Lecture notes in computer sciences, vol. 3750, p. 419-426, in MICCAI, 2005. Link (LNCS)
  • R. Narayanan, J. A. Fessler, H. Park, and C. R. Meyer, “Diffeomorphic Nonlinear Transformations: A local parametric approach for image registration”, Lecture notes in computer sciences, vol. 3565, p. 174-185, in IPMI, 2005. Link (LNCS)
  • H. Park, C R. Meyer, and B. Kim, “Improved Motion Correction in fMRI by Joint Mapping of Slices into an Anatomical Volume”, Lecture notes in computer sciences, vol. 3217, p. 745-751, in MICCAI, 2004. Link (LNCS)
  • H. Park, P. H. Bland, K. K. Brock, and. C. R. Meyer, “Adaptive registration using local information measures”, Medical Image Analysis, vol. 8, p. 465-473, 2004. Link
  • H. Park and C. R. Meyer, “Grid refinement in adaptive non-rigid registration”, Lecture notes in computer sciences, vol. 2879, p. 796-803, in MICCAI, 2003. Link (LNCS)
  • C. R. Meyer, H. Park, and P. H. Bland, “Method for Quantifying Volumetric Lesion Change in Interval Liver CT Examination", IEEE Transactions on medical imaging, vol. 22, p. 776-781, 2003. Link
  • H. Park, P. H. Bland, and C. R. Meyer, “Construction of an Abdominal Probabilistic Atlas and its application in Segmentation", IEEE Transactions on medical imaging, vol. 22, p. 483-492, 2003. Link Cited 300 times as of November 2015.
Journal Papers in KOREAN 
  • 박현진, 윤의중, 서종범, “다차원 척도법(MDS)을 사용한 새로운 형태 정량화 기법”, 의공학회지, vol. 31(2), p.134-140, 2010.
  • 박현진, “개선된 학부 의공학 소프트웨어 교육과정을 위한 새로운 과목의 제안”, 의공학회지, vol. 32(4), p.279-284, 2011.
  • 박현진, 지영준, 서종범, “새로운 학부 의공학 교육과정의 일환으로 의공학 실험과목의 제안”, vol. 32(4), 289-294, 2011.
  • 손성진, 박현진#, “정상 노화군과 경도인지장애 환자군의 18F-FDG-PET과 11C-PIB-PET 영상을 이용한 뇌 연결망 분석”, 의공학회지, vol. 35(3), 68-74, 2014.

Teaching
  • University of Michigan: 01/2007-04/2007 Instructor to a graduate level image processing course
               EECS556, in Dept. of Electrical Engineering, Univ. of Michigan, Ann Arbor, MI.

  • Gachon University: various undergraduate signal/image processing courses
              2009년 1학기 - 생체계측공학, 창의적의공학연구1, 의용전자회로설계
              2009년 2학기 - 생체영상처리, 창의적의공학연구2, 의공학세미나
              2010년 1학기 - 생체신호및시스템, 생체확률및통계, 창의적의공학연구1
              2010년 2학기 - 생체영상처리, 창의적의공학연구2, 진단기기
              2011년 1학기 - 생체신호및시스템, 생체확률및통계, 창의적의공학연구1
              2011년 2학기 - 생체영상처리, 창의적의공학연구2, 진단기기
              2012년 1학기 - 생체신호및시스템, 생체확률및통계, 고급생체영상처리
  • Sungkyunkwan University :
              2012년 2학기 - 공학수학2
              2013년 1학기 - 공학수학1
              2013년 2학기 - 공학수학2, 고급확률및랜덤프로세스
              2014년 1학기 - 공학수학1, 휴대용의료기기
              2014년 2학기 - 확률및랜덤프로세스, 디지털신호처리, 고급컴퓨터비전 (팀티칭)
              2015년 1학기 - 공학수학1, 휴대용의료기기
              2015년 2학기 - 확률및통계, 디지털신호처리, 고급컴퓨터비전 (팀티칭)
              2016년 2학기 - 확률및랜덤프로세스, 영상처리
              2017년 1학기 - 확률및통계, 영상처리
              2017년 2학기 - 확률및랜덤프로세스, 프로그래밍기초와실습
              2018년 1학기 - 확률및통계, 영상처리
              2018년 2학기 - 확률및랜덤프로세스, 프로그래밍기초와실습
              2019년 1학기 - 확률및랜덤프로세스, 영상처리, 스마트카공학개론(팀티칭)
              2019년 2학기 - 확률및랜덤프로세스, 프로그래밍기초와실습, 컴퓨터비전(데이터사이언스학과)
              2020년 1학기 - 확률및랜덤프로세스, 영상처리, 스마트카공학개론(팀티칭)
              2020년 2학기 - 확률및통계, 프로그래밍기초와실습
              2021년 1학기 - 확률및랜덤프로세스, 영상처리, 스마트카공학개론(팀티칭)
              2021년 2학기 - 확률및통계, 프로그래밍기초와실습, 스마트카공학개론(팀티칭)
              2022년 1학기 - 확률및랜덤프로세스, 영상처리, 스마트카공학개론(팀티칭)
              2023년 2학기 - 프로그래밍기초와실습, 영상처리, 스마트카공학개론(팀티칭), 생체소자및지능형정보처리(팀티칭)
              2024년 1학기 - 확률및랜덤프로세스, 영상처리, 스마트카공학개론(팀티칭)
              2024년 2학기 - 확률및통계, 프로그래밍기초와실습, 스마트카공학개론(팀티칭)

Conference Papers
  • H. Park and C. R. Meyer, “Information Theory for Locally Adaptive Registrations”, First SIAM Conference on Imaging Science (SIAG/IS) (IS02), March 2002.
  • H. Park, P. H. Bland, and C. R. Meyer, “Methods for quantifying lesion change from interval liver examinations", International Workshop on growth and motion in 3d medical image, June 2002.
  • H. Park and C. R. Meyer, “Effects of voxel dimension, anisotropy and data set orientation on data set distribution", International Workshop on growth and motion in 3d medical image, June 2002.
  • H. Park, R. Bhagalia, C. R. Meyer, and B. Kim, “Improved Motion Correction by Joint Mapping of Slices to an Anatomical Volume Demonstrated by Simulated fMRI Time Series”, International Society of Magnetic Resonance in Medicine (ISMRM), May 2005.
  • B. Ma, R. Narayanan, H. Park, A. Hero III, P. H. Bland, C. R. Meyer, “Joint registration of multiple images using entropic graphs”, SPIE Medical Imaging, February 2007.
  • R. Narayanan, J. A. Fessler, B. Ma, H. Park, C. R. Meyer, “ Local mismatch location and spatial scale detection in image registration”, SPIE Medical Imaging, February 2007.
  • H. Park, S. Kwee, G. P. Thibault, R. Stack, I. A. Sesterhenn, K. Potter, and C. R. Meyer, “Registration methods for histological slides and ex vivo MRI of prostate”, IEEE Nuclear Science Symposium and Medical Image Conference, October 2007.
  • S. Sarkar, R. Narayanan, H. Park, B. Ma, P. H. Bland, and C. R. Meyer, “Quantitative growth measurement of lesions in hepatic interval CT exams”, SPIE Medical Imaging, February 2008.
  • M. Piert, H. Park, J. Siddiqui, A. Khan, C. Meyer, R. Shah, and D. Wood, “ Lack of tumor hypoxia in primary prostate cancer as demonstrated by 18F-FAZA PET/CT and immunohistochemistry”, Society of Nuclear Medicine (SNM) 2008.
  • M. Piert, H. Park, A. Khan, C. Meyer, R. Shah, and D. Wood, “Performance of multi-modality molecular imaging of prostate cancer”, Society of Nuclear Medicine (SNM) 2008.
  • M. Piert, H. Park, R. Shah, A. Khan, and C. Meyer, “Registration methodology for PET-CT, MRI and histology for the human prostate”, Society of Nuclear Medicine (SNM) 2008.
  • M. R. Piert, H. Park, A. Khan, H. Hussain, C. Meyer, R. Shah, and D. Wood; “Molecular Imaging of Primary Prostate Cancer Identifies High-Risk Disease”, European Association of Nuclear Medicine (EANM) 2008.
  • H. Park, M. Piert, B. Ma, and C. Meyer, “Registration methodology of histology with in vivo 3T MRI for human prostate”, ISMRM 2009.
  • H. Park and C. Meyer, “Value of probabilistic atlas for segmentation related to different degrees of freedom in non-rigid registration”, Worldcomp 2012, IPCV 2012.
  • S. H. Lee, J. H. Kim, S. J. Son, and H. Park, “PET image analysis using Parametric Response Map for Mild Cognitive Impairment”, Worldcomp 2013, IPCV 2013.
  • S. H. Lee, J. H. Kim, S. J. Son, and H. Park, “Longitudinal PET Image Analysis of Alzheimer's Disease Using Parametric Response Map”, IEEE MIC 2013.
  • J. H. Kim, S. H. Lee, S. J. Son, S. J. Choi, and H. Park, “Application of Parametric Response Map to Distinguish Between Viable and Non-Viable Hepatocellular Carcinoma of Dynamic CT”, IEEE MIC 2013.
  • 김종훈, 박현진, "간암 환자의 시계열 동적 CT영상에서 비자립적인 종양을 가진 환자를 이용한 Parametric Response Map 기법의 적용," 대한의용생체공학회, 2014
  • 손성진,박현진, "경도인지장애 환자의 FDG-PIB-PET 영상을 이용한 뇌 네트워크 분석 가능성 관찰", 대한의용생체공학회, 2014
  • 이승학,박현진, "확산 텐서 영상을 이용한 경도 인지 장애 환자의 신경 섬유 추적 기법 계산", 대한의용생체공학회, 2014
  • 박보용,손성진,박현진, "대마초 중독환자의 resting-state functional MRI를 이용한 브로드만 28번 영역에서싀 변화 관찰", 대한의용생체공학회, 2014
  • S. J. Son and H. Park, "Brain network analysis for cannabis users in hippocampal region using functional MRI", International BioMedical Engineering Conference 2014 (IBEC 2014), November 2014
  • S. H. Lee and H. Park, "Analysis of diffusion tensor image of mild cognitive impairment: Comparing two different fiber tracking algorithms", International BioMedical Engineering Conference 2014 (IBEC 2014), November 2014
  • M. Kim and H.Park, "Changes in the SWEDD’s Brain using Diffusion tensor image",International BioMedical Engineering Conference 2014 (IBEC 2014), November 2014
  • B. Y. Park and H. Park, "Difference between male and female Attention-Deficit/Hyperactivity Disorder patients’ brain dysfunction using resting-state functional MRI", International BioMedical Engineering Conference 2014 (IBEC 2014), November 2014
  • 김종훈, 박현진, "간암 환자의 시계열 CT에 TACE 이후 종양의 치료 반응에 대한 Parametric Response Map기법의 적용", 대한의용생체공학회, 2015.05
  • 이승학, 박현진, "확산 텐서 영상의 구조적 연결성을 고려한 간질환자의 선택적 편도해마 절제술의 계획", 대한의용생체공학회, 2015.05
  • 손성진, 박현진, "만성 알코올 섭취자의 작업 기억 과업 수행 중 뇌 네트워크 영향력 분석", 대한의용생체공학회, 2015.05
  • 김만수, 박현진, "뇌의 기능적 연결성을 이용한 반 사회적 인격장애 분석", 대한의용생체공학회, 2015.05
  • 박보용, 박현진, "Task functional MRI를 이용한 주의력 결핍 과다 행동 장애 환자의 정신질환 진단 및 통계 편람 점수 예측", 대한의용생체공학회, 2015.05
  • 홍지수, 박현진, "Resting-state functional MRI 연결성을 이용한 THC 사용자 그룹 분류", 대한의용생체공학회, 2015.05
  • M. Kim S.J. Son, and H. Park, " Graph theoretical analysis of structural brain connectivity of Parkinson's disease patients", 21st Annual meeting of the organization for human brain mapping, June 2015
  • B. Park, J.H. Kim, S.H. Lee, and H. Park, "Different brain connectivity for Attention-Deficit/Hyperactivity Disorder subtypes" 21st Annual meeting of the organization for human brain mapping, June 2015
  • M. Kim and H. Park, "Functional Brain Connectivity of People with Sleep disorder based on resting state functional MRI", Korean Society of Human Brain Mapping, November 2015
  • J. S. Hong and H. Park, " Age-Related difference of thalamus between ADHD and normal subject using connectivity of resting-state functional MRI" Korean Society of Human Brain Mapping, November 2015
  • J. H. Kim and H. Park, " Preliminary survival analysis based on PRM method for HCC patients treated by TACE", International BioMedical Engineering Conference 2015 (IBEC 2015), November 2015
  • S. H. Lee and H. Park, "Compared functional MRI analysis between Normal and ADHD sub group using three connectivity parameters", International BioMedical Engineering Conference 2015 (IBEC 2015), November 2015
  • S. J. Son and H. Park "Brain network analysis of Parkinson's disease patients based on SPECT images", International BioMedical Engineering Conference 2015 (IBEC 2015), November 2015
  • M. Kim and H. Park, "Imaging genetics of Parkinson's disease at Putamen", International BioMedical Engineering Conference 2015 (IBEC 2015), November 2015
  • B. Park and H. Park, "Relation between anxiety, depression, and obesity in terms of dysfunctions in default mode network", International BioMedical Engineering Conference 2015 (IBEC 2015), November 2015
  • J. S. Hong and H. Park, "Age-Related difference of superior medial frontal gyrus between ADHD and normal subject using connectivity resting-state functional MRI", International BioMedical Engineering Conference 2015 (IBEC 2015), November 2015
  • J. H. Won, N. Lee, B. Park and H. Park, "Semi-Automatic Polyp Segmentation in Colonoscopy Videos", International BioMedical Engineering Conference 2015 (IBEC 2015), November 2015
  • Bo-yong Park, Jonghoon Kim, Seung-Hak Lee, and Hyunjin Park, "Different brain connectivity for AttentionDeficit/Hyperactivity Disorder subtypes", 21st annual meeting of the Organization for Human Brain Mapping, 2015
  • Mansu Kim, Seong-Jin Son, and Hyunjin Park, "Graph Theoretical Analysis of Structural Brain Connectivity of Parkinson’s Disease Patients", 21st annual meeting of the Organization for Human Brain Mapping, 2015
  • Seong-Jin Son and Hyunjin Park, "Imaging findings and correlation with clinical scores of Parkinson's disease using SPECT", 22st annual meeting of the Organization for Human Brain Mapping, 2016
  • Jonghoon Kim, Bo-yong Park, and Hyunjin Park, "Survival analysis based on parametric response mapping for liver cancer patients", 38th annual international conference of the IEEE Engineering in Medicine and Biology Society, 2016
  • Bo-yong Park, Jonghoon Kim, and Hyunjin Park, "Differences in connectivity patterns between child and adolescent attention deficit hyperactivity disorder patients", 38th annual international conference of the IEEE Engineering in Medicine and Biology Society, 2016
  • Bo-yong Park, Ji Hye Won, Seok Young Lee, Deuk Cheol Kang, Ju Hyung Kim, Jisoo Bong, and Hyunjin Park, "Classification of Barrett’s esophagus sub-classes and neoplasia using texture features of endomicroscopy imaging", 39th annual international conference of the IEEE Engineering in Medicine and Biology Society, 2017
  • Hwan-Ho Cho and Hyunjin Park, "Classification of Low-grade and High-grade Glioma using Multi-modal Image Radiomics Features", 39th annual international conference of the IEEE Engineering in Medicine and Biology Society, 2017
  • Jisu Hong, Bo-yong Park, and Hyunjin Park, "Convolutional neural network classifier for distinguishing Barrett’s esophagus and neoplasia endomicroscopy images", 39th annual international conference of the IEEE Engineering in Medicine and Biology Society, 2017
  • Kyoungseob Byeon, Inhaeng Lee, Dongkyu Lee, Jonghoon Kim, Bo-yong Park, and Hyunjin Park, "Correlation tensor using resting state fMRI in corpus callosum", 39th annual international conference of the IEEE Engineering in Medicine and Biology Society, 2017
  • Mansu Kim, Seong-Jin Son, and Hyunjin Park, "Imaging genetics approach to predict progression of Parkinson’s diseases", 39th annual international conference of the IEEE Engineering in Medicine and Biology Society, 2017
  • Seung-Hak Lee and Hyunjin Park, "Difference of Alzheimer’s disease sub-groups using two features from intensity size zone matrix", 39th annual international conference of the IEEE Engineering in Medicine and Biology Society, 2017
  • B.-y. Park, M. J. Lee, and H. Park*, "White matter hyperintensity (WMH) segmentation" WMH segmentation challenge, Grand challenge at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2017 (2017 Sep).
  • Seong-Jin Son, Mansu Kim, Seung-Hak Lee, and Hyunjin Park, "Connectional fingerprint of mild cognitive impairment based on FDG-PET and PiB-PET", IEEE nuclear science symposium and medical imaging conference, 2017
  • Seung-Hak Lee, Seong-Jin Son, Mansu Kim, and Hyunjin Park, "PET analysis using features from intensity size zone matrix for group difference between mild cognitive impairment and normal control", IEEE nuclear science symposium and medical imaging conference, 2017
  • Kim, Jonghoon; Park, Bo-yong; Park, Hyunjin*, "Survival Prediction of Hepatocellular Carcinoma Patients Treated by Transarterial Chemoembolization using CT Radiomics Analysis", presented at IEEE-EMBC 2018
  • Jisu Hong, Hyunjin Park, "Non-linear Approach for MRI to intra-operative US Registration Using Structural Skeleton", presented at CuRIOUS 2018: Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation
  • Byeon, Kyoungseob; Park, Hyunjin*, "Use of Granger Causality from fMRI as a Biomarker for Body Mass Index", presented at IEEE-EMBC 2019
  • Kwon, Junmo; Park, Hyunjin*, "Glioma Tumor Segmentation using Simplified V-Net", presented at IEEE-EMBC 2019

 Last edited September 17, 2019 by Hyunjin Park.
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