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Showing results 1 to 20 of 34

Issue Date	Title Author(s) Journal	View
2017-08	Enhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering Hou, Yingkun ; Park, Sang Hyun ; Wang, Qian ; Zhang, Jun ; Zong, Xiaopeng ; Lin, Weili ; Shen, Dinggang Scientific Reports, v.7, no.1, 2017-08	637
2018-01	Robust brain ROI segmentation by deformation regression and deformable shape model Wu, Zhengwang ; Guo, Yanrong ; Park, Sang Hyun ; Gao, Yaozong ; Dong, Pei ; Lee, Seong Whan ; Shen, Dinggang ELSEVIER SCIENCE BV, 2018-01	640
2018-04	Altered brain developmental trajectories in adolescents after initiating drinking Pfefferbaum, Adolf ; Kwon, Dong Jin ; Brumback, Ty ; Thompson, Wesley K. ; Cummins, Kevin ; Tapert, Susan F. ; Brown, Sandra A. ; Colrain, Ian M. ; Baker, Fiona C. ; Prouty, Devin ; et al American Psychiatric Association, 2018-04	604
2018-05	Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals Park, Sang Hyun ; Zhang, Yong ; Kwon, Dongjin ; Zhao, Qingyu ; Zahr, Natalie M. ; Pfefferbaum, Adolf ; Sullivan, Edith V. ; Pohl, Kilian M. Nature Publishing Group, 2018-05	587
2019	Preface Rekik I. ; Adeli E. ; Park, Sang Hyun Springer, 2019	432
2019-02	Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network Jung, Euijin ; Chikontwe, Philip ; Zong, Xiaopeng ; Lin, Weili ; Shen, Dinggang ; Park, Sang Hyun IEEE Access, v.7, pp.18382 - 18391, 2019-02	582
2019-10	Real-time Tracking of Guidewire Robot Tips using Deep Convolutional Neural Networks on Successive Localized Frames Ullah, Ihsan ; Chikontwe, Philip ; Park, Sang Hyun Institute of Electrical and Electronics Engineers Inc., 2019-10	541
2019-11	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge Kuijf, Hugo J. ; Biesbroek, J. Matthijs ; de Bresser, Jeroen ; Heinen, Rutger ; Andermatt, Simon ; Bento, Mariana ; Berseth, Matt ; Belyaev, Mikhail ; Cardoso, M. Jorge ; Casamitjana, Adria ; et al Institute of Electrical and Electronics Engineers, 2019-11	412
2020-02	Editorial: Predictive Intelligence in Biomedical and Health Informatics Adeli, E. ; Rekik, S. H. ; Park, Sang Hyun ; Shen, D. IEEE Journal of Biomedical and Health Informatics, v.24, no.2, pp.333 - 335, 2020-02	503
2020-04	Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade Kim, Soopil ; Park, Yae Won ; Park, Sang Hyun ; Ahn, Sung Soo ; Chang, Jong Hee ; Kim, Se Hoon ; Lee, Seung-Koo Brain Tumor Research and Treatment, v.8, no.1, pp.36 - 42, 2020-04	43
2020-06	Spinal Stenosis Grading in Magnetic Resonance Imaging Using Deep Convolutional Neural Networks Won, Dongkyu ; Lee, Hyun-Joo ; Lee, Suk-Joong ; Park, Sang Hyun Lippincott Williams and Wilkins, 2020-06	524
2020-06	Generative approach for data augmentation for deep learning-based bone surface segmentation from ultrasound images Zama, Asaduz ; Park, Sang Hyun ; Bang, Hyunhee ; Park, Chul-woo ; Park, Ilhyung ; Joung, Sanghyun International Journal of Computer Assisted Radiology and Surgery, v.15, pp.931 - 941, 2020-06	576
2020-08	Magnetic resonance imaging–based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade Park, Yae Won ; Kim, Soopil ; Ahn, Sung Soo ; Han, Kyunghwa ; Kang, Seok-Gu ; Chang, Jong Hee ; Kim, Se Hoon ; Lee, Seung-Koo ; Park, Sang Hyun European Radiology, v.30, no.8, pp.4615 - 4622, 2020-08	583
2021-02	Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation Ullah, Ihsan ; Chikontwe, Philip ; Choi, Hongsoo ; Yoon, Chang Hwan ; Park, Sang Hyun Applied Sciences, v.11, no.4, pp.1638 - 16, 2021-02	391
2021-02	Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective Kang, Myeongkyun ; Hong, Kyung Soo ; Chikontwe, Philip ; Luna, Acevedo Miguel Andres ; Jang, Jong Geol ; Park, Jongsoo ; Shin, Kyeong-Cheol ; Park, Sang Hyun ; Ahn, June Hong Journal of Korean Medical Science, v.36, no.5, pp.1 - 14, 2021-02	412
2021-08	Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening Chikontwe, Philip ; Luna, Acevedo Miguel Andres ; Kang, Myeongkyun ; Hong, Kyung Soo ; Ahn, June Hong ; Park, Sang Hyun Medical Image Analysis, v.72, pp.102105, 2021-08	301
2021-11	A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography Ryu, Gahyung ; Lee, Kyungmin ; Park, Donggeun ; Park, Sang Hyun ; Sagong, Min Scientific Reports, v.11, no.1, 2021-11	364
2021-12	Long-term in-vivo recording performance of flexible penetrating microelectrode arrays Jang, Jae-Won ; Kang, Yoo Na ; Seo, Hee Won ; Kim, Boil ; Choe, Han Kyoung ; Park, Sang Hyun ; Lee, Maan-Gee ; Kim, Sohee Journal of Neural Engineering, v.18, no.6, pp.066018, 2021-12	352
2022-02	A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography Angiography Ryu, Gahyung ; Lee, Kyungmin ; Park, Donggeun ; Kim, Inhye ; Park, Sang Hyun ; Sagong, Min Translational Vision Science & Technology, v.11, no.2, 2022-02	220
2022-02	Classification of the Confocal Microscopy Images of Colorectal Tumor and Inflammatory Colitis Mucosa Tissue Using Deep Learning Jeong, Jaehoon ; Hong, Seung Taek ; Ullah, Ihsan ; Kim, Eun Sun ; Park, Sang Hyun Diagnostics, v.12, no.2, 2022-02	140