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2020 – today
- 2025
[j28]Samiksha Pachade
, Prasanna Porwal, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Zhengbo Luo, Feng Han, Zitang Sun, Li Qihan, Sei-ichiro Kamata, Edward Ho, Edward Wang, Asaanth Sivajohan, Saerom Youn, Kevin Lane, Jin Chun, Xinliang Wang, Yunchao Gu, Sixu Lu, Young-tack Oh, Hyunjin Park, Chia-Yen Lee, Hung Yeh, Kai-Wen Cheng, Haoyu Wang, Jin Ye, Junjun He, Lixu Gu, Dominik Müller, Iñaki Soto Rey, Frank Kramer, Hidehisa Arai, Yuma Ochi, Takami Okada, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau:
RFMiD: Retinal Image Analysis for multi-Disease Detection challenge. Medical Image Anal. 99: 103365 (2025)- 2024
- [j27]Junmo Kwon, Jonghun Kim, Hyunjin Park:
Leveraging segmentation-guided spatial feature embedding for overall survival prediction in glioblastoma with multimodal magnetic resonance imaging. Comput. Methods Programs Biomed. 255: 108338 (2024) - [j26]Seulki Yoo, Yurim Jang, Seok-Jun Hong, Hyunjin Park, Sofie L. Valk, Boris C. Bernhardt, Bo-yong Park:
Whole-brain structural connectome asymmetry in autism. NeuroImage 288: 120534 (2024) - [j25]Yeongjun Park, Mi Ji Lee, Seulki Yoo, Chae Yeon Kim, Jong Young Namgung, Yunseo Park, Hyunjin Park, Eun-Chong Lee, Yeo Dong Yoon, Casey Paquola, Boris C. Bernhardt, Bo-yong Park:
GAN-MAT: Generative adversarial network-based microstructural profile covariance analysis toolbox. NeuroImage 291: 120595 (2024) - [c31]Jonghun Kim, Hyunjin Park:
Radiomics-Guided Multimodal Self-Attention Network For Predicting Pathological Complete Response In Breast MRI. ISBI 2024: 1-5 - [c30]Junmo Kwon, Sang Won Seo, Hyunjin Park:
Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-Weighted and T2*-Weighted MRI. MICCAI (2) 2024: 24-33 - [c29]Eunjin Kim, Gitaek Kwon, Jaeyoung Kim, Hyunjin Park:
Semi-supervised Segmentation Through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy. MICCAI (11) 2024: 634-644 - [c28]Inye Na, Jonghun Kim, Eun Sook Ko, Hyunjin Park:
RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features. MICCAI (3) 2024: 723-733 - [c27]Jonghun Kim, Hyunjin Park:
Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study. WACV 2024: 7589-7598 - [i7]Jonghun Kim, Hyunjin Park:
Radiomics-guided Multimodal Self-attention Network for Predicting Pathological Complete Response in Breast MRI. CoRR abs/2406.02936 (2024) - [i6]Inye Na, Jonghun Kim, Eun Sook Ko, Hyunjin Park:
RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features. CoRR abs/2407.05683 (2024) - [i5]Jonghun Kim, Mansu Kim, Hyunjin Park:
Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRI. CoRR abs/2410.00410 (2024) - 2023
- [c26]Junmo Kwon, Hyunjin Park:
Joint Learning of Segmentation and Overall Survival for Brain Tumor based on U-Net. CBMS 2023: 925-926 - [c25]Seulki Yoo, Yurim Jang, Seok-Jun Hong, Hyunjin Park, Sofie L. Valk, Boris C. Bernhardt, Bo-yong Park:
Atypical structural connectome asymmetry and associations with network communication in autism spectrum disorder. EMBC 2023: 1-4 - [i4]Jonghun Kim, Hyunjin Park:
Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study. CoRR abs/2311.00265 (2023) - [i3]Inye Na, Jonghun Kim, Hyunjin Park:
Synthetic Tumor Manipulation: With Radiomics Features. CoRR abs/2311.02586 (2023) - [i2]Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.:
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR abs/2312.17670 (2023) - 2022
- [j24]Seung-wan Jeong, Hwan-ho Cho, Seunghak Lee, Hyunjin Park:
Robust multimodal fusion network using adversarial learning for brain tumor grading. Comput. Methods Programs Biomed. 226: 107165 (2022) - [j23]Ji Hye Won, Jinyoung Youn, Hyunjin Park:
Enhanced neuroimaging genetics using multi-view non-negative matrix factorization with sparsity and prior knowledge. Medical Image Anal. 77: 102378 (2022) - [j22]Hyoungshin Choi, Kyoungseob Byeon, Bo-yong Park, Jong-eun Lee, Sofie L. Valk, Boris C. Bernhardt, Adriana Di Martino, Michael P. Milham, Seok-Jun Hong, Hyunjin Park:
Diagnosis-informed connectivity subtyping discovers subgroups of autism with reproducible symptom profiles. NeuroImage 256: 119212 (2022) - [c24]Seung-wan Jeong, Hwan-ho Cho, Junmo Kwon, Hyunjin Park:
Region-of-interest Attentive Heteromodal Variational Encoder-Decoder for Segmentation with Missing Modalities. ACCV (6) 2022: 132-148 - [c23]Young-tack Oh, Eunsook Ko, Hyunjin Park:
Semi-supervised Breast Lesion Segmentation Using Local Cross Triplet Loss for Ultrafast Dynamic Contrast-Enhanced MRI. ACCV (6) 2022: 203-217 - [c22]Young-tack Oh, Hyunjin Park:
End-to-end Two-Branch Classifier for Retinal Imaging Analysis. ICEIC 2022: 1-3 - [c21]Young-tack Oh, Eunsook Ko, Hyunjin Park:
TDM-Stargan: Stargan Using Time Difference Map to Generate Dynamic Contrast-Enhanced Mri from Ultrafast Dynamic Contrast-Enhanced Mri. ISBI 2022: 1-5 - 2021
- [j21]Mansu Kim, Jingxuan Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Jae Young Baik, Li Shen:
A structural enriched functional network: An application to predict brain cognitive performance. Medical Image Anal. 71: 102026 (2021) - [j20]Menglin Wu, Wei Chen, Qiang Chen, Hyunjin Park:
Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach. IEEE J. Biomed. Health Informatics 25(9): 3460-3472 (2021) - [c20]Eunjin Kim, Hwan-ho Cho, Eunsook Ko, Hyunjin Park:
Generative Adversarial Network with Local Discriminator for Synthesizing Breast Contrast-Enhanced MRI. BHI 2021: 1-4 - 2020
- [j19]Jisu Hong, Bo-yong Park, Mi Ji Lee, Chin-Sang Chung, Jihoon Cha, Hyunjin Park:
Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs. Comput. Methods Programs Biomed. 183 (2020) - [j18]Mansu Kim, Ji Sun Kim, Jinyoung Youn, Hyunjin Park, Jin Whan Cho:
GraphNet-based imaging biomarker model to explain levodopa-induced dyskinesia in Parkinson's disease. Comput. Methods Programs Biomed. 196: 105713 (2020) - [j17]Sung Woon Park, Gyu-Ri Kim, You-Cheol Hwang, Woo Je Lee, Hyunjin Park, Jae Hyeon Kim:
Validation of the effectiveness of a digital integrated healthcare platform utilizing an AI-based dietary management solution and a real-time continuous glucose monitoring system for diabetes management: a randomized controlled trial. BMC Medical Informatics Decis. Mak. 20(1): 156 (2020) - [j16]Mansu Kim, Ji Hye Won, Jinyoung Youn, Hyunjin Park:
Joint-Connectivity-Based Sparse Canonical Correlation Analysis of Imaging Genetics for Detecting Biomarkers of Parkinson's Disease. IEEE Trans. Medical Imaging 39(1): 23-34 (2020) - [c19]Kyoungseob Byeon, Junmo Kwon, Jisu Hong, Hyunjin Park:
Artificial Neural Network Inspired by Neuroimaging Connectivity: Application in Autism Spectrum Disorder. BigComp 2020: 575-578 - [c18]Mansu Kim, Ji Hye Won, Jisu Hong, Junmo Kwon, Hyunjin Park, Li Shen:
Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's Disease. ISBI 2020: 1920-1923 - [c17]Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Li Shen:
Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet. MLMI@MICCAI 2020: 292-302
2010 – 2019
- 2019
- [j15]Kyoungseob Byeon, Bo-yong Park, Hyunjin Park:
Spatially guided functional correlation tensor: A new method to associate body mass index and white matter neuroimaging. Comput. Biol. Medicine 107: 137-144 (2019) - [j14]Seong-jin Son, Bo-yong Park, Kyoungseob Byeon, Hyunjin Park:
Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks. Comput. Biol. Medicine 115 (2019) - [j13]Menglin Wu, Xinxin Cai, Qiang Chen, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Hyunjin Park:
Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging. Comput. Methods Programs Biomed. 182 (2019) - [j12]Bo-yong Park, Kyoungseob Byeon, Hyunjin Park:
FuNP (Fusion of Neuroimaging Preprocessing) Pipelines: A Fully Automated Preprocessing Software for Functional Magnetic Resonance Imaging. Frontiers Neuroinformatics 13: 5 (2019) - [j11]Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c16]Ji Hye Won, Mansu Kim, Jinyoung Yoon, Hyunjin Park:
Subtype Identification of Parkinson's Disease Using Sparse Canonical Correlation and Clustering Analysis of Multimodal Neuroimaging. MTSR 2019: 126-136 - [i1]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - 2018
- [j10]Mary Wu, Hyunjin Park, ChongGun Kim:
A method for creating balanced cluster areas in wireless sensor networks. Int. J. Comput. Aided Eng. Technol. 10(5): 621-634 (2018) - [j9]Menglin Wu, Qiang Chen, Xiaojun He, Ping Li, Wen Fan, Songtao Yuan, Hyunjin Park:
Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images With Neurosensory Retinal Detachment Guided by Enface Fundus Imaging. IEEE Trans. Biomed. Eng. 65(1): 87-95 (2018) - [c15]Jisu Hong, Hyunjin Park:
Non-linear Approach for MRI to intra-operative US Registration Using Structural Skeleton. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 138-145 - 2017
- [j8]Hyunjin Park, Seungyeoun Lee, Ye Jin Kim, Myung-Sook Choi, Taesung Park:
Analysis of clustered RNA-seq data. Int. J. Data Min. Bioinform. 19(1): 19-31 (2017) - [c14]Jisu Hong, Bo-yong Park, Hyunjin Park:
Convolutional neural network classifier for distinguishing Barrett's esophagus and neoplasia endomicroscopy images. EMBC 2017: 2892-2895 - [c13]Seung-Hak Lee, Hyunjin Park:
Difference of Alzheimer's disease sub-groups using two features from intensity size zone matrix. EMBC 2017: 3020-3023 - [c12]Hwan-ho Cho, Hyunjin Park:
Classification of low-grade and high-grade glioma using multi-modal image radiomics features. EMBC 2017: 3081-3084 - [c11]Mansu Kim, Seong-jin Son, Hyunjin Park:
Imaging genetics approach to predict progression of Parkinson's diseases. EMBC 2017: 3922-3925 - 2016
- [j7]SungBaek Yoon, Hyunjin Park, Juneho Yi:
An Efficient Bayesian Approach to Exploit the Context of Object-Action Interaction for Object Recognition. Sensors 16(7): 981 (2016) - [c10]Hyunjin Park, Seungyeoun Lee, Ye Jin Kim, Myung-Sook Choi, Taesung Park:
Multivariate approach to the analysis of correlated RNA-seq data. BIBM 2016: 1783-1786 - [c9]Bo-yong Park, Jonghoon Kim, Hyunjin Park:
Differences in connectivity patterns between child and adolescent attention deficit hyperactivity disorder patients. EMBC 2016: 1127-1130 - 2014
- [j6]Hyunjin Park, Jin-Ju Yang, Jongbum Seo, Yu Yong Choi, Kun-ho Lee, Jong-Min Lee:
Improved explanation of human intelligence using cortical features with second order moments and regression. Comput. Biol. Medicine 47: 139-146 (2014) - 2010
- [j5]Changsik Kim, Jiwon Choi, Hyunjin Park, Yunsun Park, Jungsun Park, Taesung Park, Kwanghui Cho, Young Yang, Sukjoon Yoon:
Global analysis of microarray data reveals intrinsic properties in gene expression and tissue selectivity. Bioinform. 26(14): 1723-1730 (2010) - [j4]Hyunjin Park, Alfred O. Hero III, Peyton H. Bland, Marc Kessler, Jongbum Seo, Charles R. Meyer:
Construction of Abdominal Probabilistic Atlases and Their Value in Segmentation of Normal Organs in Abdominal CT Scans. IEICE Trans. Inf. Syst. 93-D(8): 2291-2301 (2010)
2000 – 2009
- 2008
- [c8]Saradwata Sarkar, Ramkrishnan Narayanan, Hyunjin Park, Bing Ma, Peyton H. Bland, Charles R. Meyer:
Quantitative growth measurement of lesions in hepatic interval CT exams. Image Processing 2008: 69141G - 2007
- [c7]Bing Ma, Ramkrishnan Narayanan, Hyunjin Park, Alfred O. Hero III, Peyton H. Bland, Charles R. Meyer:
Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams Using Entropic Graphs. IPMI 2007: 270-282 - [c6]Ramkrishnan Narayanan, Jeffrey A. Fessler, Bing Ma, Hyunjin Park, Charles R. Meyer:
Local mismatch location and spatial scale detection in image registration. Image Processing 2007: 65121X - [c5]Bing Ma, Ramakrishnan Narayanan, Hyunjin Park, Alfred O. Hero III, Peyton H. Bland, Charles R. Meyer:
Joint registration of multiple images using entropic graphs. Image Processing 2007: 65122A - 2005
- [c4]Ramkrishnan Narayanan, Jeffrey A. Fessler, Hyunjin Park, Charles R. Meyer:
Diffeomorphic Nonlinear Transformations: A Local Parametric Approach for Image Registration. IPMI 2005: 174-185 - [c3]Hyunjin Park, Peyton H. Bland, Alfred O. Hero III, Charles R. Meyer:
Least Biased Target Selection in Probabilistic Atlas Construction. MICCAI (2) 2005: 419-426 - 2004
- [j3]Hyunjin Park, Peyton H. Bland, Kristy K. Brock, Charles R. Meyer:
Adaptive registration using local information measures. Medical Image Anal. 8(4): 465-473 (2004) - [c2]Hyunjin Park, Charles R. Meyer, Boklye Kim:
Improved Motion Correction in fMRI by Joint Mapping of Slices into an Anatomical Volume. MICCAI (2) 2004: 745-751 - 2003
- [b1]Hyunjin Park:
Adaptive registration and atlas-based segmentation. University of Michigan, USA, 2003 - [j2]Hyunjin Park, Peyton H. Bland, Charles R. Meyer:
Construction of an Abdominal Probabilistic Atlas and its Application in Segmentation. IEEE Trans. Medical Imaging 22(4): 483-492 (2003) - [j1]Charles R. Meyer, Hyunjin Park, J. M. Balter, Peyton H. Bland:
Method for Quantifying Volumetric Lesion Change in Interval Liver CT Examinations. IEEE Trans. Medical Imaging 22(6): 776-781 (2003) - [c1]Hyunjin Park, Charles R. Meyer:
Grid Refinement in Adaptive Non-rigid Registration. MICCAI (2) 2003: 796-803
Coauthor Index
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