top of page

Journal Papers

2024 International paper (n = 7)

  1. 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”, accepted for Neuroimage, March 2024.

  2. 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

  3. 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

  4. 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

  5. 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 2023. Link

  6. 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

  7. 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 International paper (n = 8)

  1. 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.

  2. 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

  3. 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

  4. 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”, accepted for Frontiers in Neurology, March 2023. 

  5. 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. 

  6. 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”, accepted for Human Brain Mapping, January 2023. 

  7. 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”, accepted for Journal of Parkinson’s Disease, December 2022. 

  8. 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”, accepted for Radiology, November 2022. 

2022 International paper (n = 16)


  1. 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

  2. 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”, accepted for IEEE Journal of Translational Engineering in Health & Medicine, November 2022. 

  3. 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

  4. S. Jeong, H. Cho, J. Kwon, and H. Park#, “Region-of-interest Attentive Heteromodal Variational Encoder-Decoder for Segmentation with Missing Modalities”, accepted for Asian Conference on Computer Vision (ACCV) 2022, September 2022. Link

  5. Y. Oh, E. Ko#, and H. Park#, “Semi-supervised Breast Lesion Segmentation Using Local Cross-Triplet Loss for Ultrafast Dynamic Contrast-Enhanced MRI”, accepted for Asian Conference on Computer Vision (ACCV) 2022, September 2022

  6. 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. 

  7. 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. 

  8. 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. 

  9. 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. 

  10. 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”, accepted for European Radiology, April 2022. 

  11. 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. 

  12. 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. 

  13. 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. 

  14. 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”, accepted for Journal of Cerebral Blood Flow and Metabolism, March 2022. 

  15. 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. 

  16. 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.

2021 International paper (n = 14)

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. M. Wu, W. Chen, Q. Chen#, and H. Park, “Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach”, accepted to IEEE Journal of Biomedical and Health Informatics, April 2021. Link

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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 International paper (n = 22)

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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 International paper (n = 19)​

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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 International paper (n = 13)

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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 

  12. 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

  13. 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 International paper (n = 10)

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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 International paper (n = 11)

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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).

2015 International paper (n = 6)

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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 International paper (n=7)

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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)

  6. 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

  7. D. Park, H. Park, J. Seo, and S. Lee, “Sonophoresis in transdermal drug deliverys”, Ultrasonics, vol. 54, p. 56-65, 2014. Link

2013 International paper (n=6)

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

bottom of page