Hyunjin Park - researchr alias

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Viewing Publication 1 - 51 from 51

2024

Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging StudyJonghun Kim, Hyunjin Park. wacv 2024: 7589-7598 [doi]

2023

Joint Learning of Segmentation and Overall Survival for Brain Tumor based on U-NetJunmo Kwon, Hyunjin Park. cbms 2023: 925-926 [doi]

Atypical structural connectome asymmetry and associations with network communication in autism spectrum disorderSeulki Yoo, Yurim Jang, Seok-Jun Hong, Hyunjin Park, Sofie L. Valk, Boris C. Bernhardt, Bo-yong Park. embc 2023: 1-4 [doi]

2022

Diagnosis-informed connectivity subtyping discovers subgroups of autism with reproducible symptom profilesHyoungshin 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. neuroimage, 256:119212, 2022. [doi]

Region-of-interest Attentive Heteromodal Variational Encoder-Decoder for Segmentation with Missing ModalitiesSeung-wan Jeong, Hwan-ho Cho, Junmo Kwon, Hyunjin Park. ACCV 2023: 132-148 [doi]

Robust multimodal fusion network using adversarial learning for brain tumor gradingSeung-wan Jeong, Hwan-ho Cho, Seunghak Lee, Hyunjin Park. cmpb, 226:107165, 2022. [doi]

Semi-supervised Breast Lesion Segmentation Using Local Cross Triplet Loss for Ultrafast Dynamic Contrast-Enhanced MRIYoung-tack Oh, Eunsook Ko, Hyunjin Park. ACCV 2023: 203-217 [doi]

TDM-Stargan: Stargan Using Time Difference Map to Generate Dynamic Contrast-Enhanced Mri from Ultrafast Dynamic Contrast-Enhanced MriYoung-tack Oh, Eunsook Ko, Hyunjin Park. isbi 2022: 1-5 [doi]

End-to-end Two-Branch Classifier for Retinal Imaging AnalysisYoung-tack Oh, Hyunjin Park. elinfocom 2022: 1-3 [doi]

Enhanced neuroimaging genetics using multi-view non-negative matrix factorization with sparsity and prior knowledgeJi Hye Won, Jinyoung Youn, Hyunjin Park. mia, 77:102378, 2022. [doi]

2021

2020

Artificial Neural Network Inspired by Neuroimaging Connectivity: Application in Autism Spectrum DisorderKyoungseob Byeon, Junmo Kwon, Jisu Hong, Hyunjin Park. bigcomp 2020: 575-578 [doi]

Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineursJisu Hong, Bo-yong Park, Mi Ji Lee, Chin-Sang Chung, Jihoon Cha, Hyunjin Park. cmpb, 183, 2020. [doi]

Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNetMansu Kim, Jingxaun Bao, Kefei Liu 0001, Bo-yong Park, Hyunjin Park, Li Shen. miccai 2020: 292-302 [doi]

Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's DiseaseMansu Kim, Ji Hye Won, Jisu Hong, Junmo Kwon, Hyunjin Park, Li Shen. isbi 2020: 1920-1923 [doi]

GraphNet-based imaging biomarker model to explain levodopa-induced dyskinesia in Parkinson's diseaseMansu Kim, Ji-Sun Kim, Jinyoung Youn, Hyunjin Park, Jin Whan Cho. cmpb, 196:105713, 2020. [doi]

Joint-Connectivity-Based Sparse Canonical Correlation Analysis of Imaging Genetics for Detecting Biomarkers of Parkinson's DiseaseMansu Kim, Ji Hye Won, Jinyoung Youn, Hyunjin Park. tmi, 39(1):23-34, 2020. [doi]

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 trialSung Woon Park, Gyu-Ri Kim, You-Cheol Hwang, Woo Je Lee, Hyunjin Park, Jae Hyeon Kim. midm, 20(1):156, 2020. [doi]

2019

Spatially guided functional correlation tensor: A new method to associate body mass index and white matter neuroimagingKyoungseob Byeon, Bo-yong Park, Hyunjin Park. cbm, 107:137-144, 2019. [doi]

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation ChallengeHugo 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 Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso. tmi, 38(11):2556-2568, 2019. [doi]

FuNP (Fusion of Neuroimaging Preprocessing) Pipelines: A Fully Automated Preprocessing Software for Functional Magnetic Resonance ImagingBo-yong Park, Kyoungseob Byeon, Hyunjin Park. fini, 2019:5, 2019. [doi]

Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networksSeong-jin Son, Bo-yong Park, Kyoungseob Byeon, Hyunjin Park. cbm, 115, 2019. [doi]

Subtype Identification of Parkinson's Disease Using Sparse Canonical Correlation and Clustering Analysis of Multimodal NeuroimagingJi Hye Won, Mansu Kim, Jinyoung Yoon, Hyunjin Park. mtsr 2019: 126-136 [doi]

Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imagingMenglin Wu, Xinxin Cai, Qiang Chen 0004, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Hyunjin Park. cmpb, 182, 2019. [doi]

2018

2017

2016

2014

Improved explanation of human intelligence using cortical features with second order moments and regressionHyunjin Park, Jin-Ju Yang, Jongbum Seo, Yu Yong Choi, Kun Ho Lee, Jong-Min Lee. cbm, 47:139-146, 2014. [doi]

2010

2008

Quantitative growth measurement of lesions in hepatic interval CT examsSaradwata Sarkar, Ramkrishnan Narayanan, Hyunjin Park, Bing Ma, Peyton H. Bland, Charles R. Meyer. miip 2008: [doi]

2007

Joint registration of multiple images using entropic graphsBing Ma, Ramakrishnan Narayanan, Hyunjin Park, Alfred O. Hero III, Peyton H. Bland, Charles R. Meyer. miip 2007: [doi]

Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams Using Entropic GraphsBing Ma, Ramkrishnan Narayanan, Hyunjin Park, Alfred O. Hero, Peyton H. Bland, Charles R. Meyer. ipmi 2007: 270-282 [doi]

2005

Diffeomorphic Nonlinear Transformations: A Local Parametric Approach for Image RegistrationRamkrishnan Narayanan, Jeffrey A. Fessler, Hyunjin Park, Charles R. Meyer. ipmi 2005: 174-185 [doi]

Least Biased Target Selection in Probabilistic Atlas ConstructionHyunjin Park, Peyton H. Bland, Alfred O. Hero, Charles R. Meyer. miccai 2005: 419-426 [doi]

2004

Improved Motion Correction in fMRI by Joint Mapping of Slices into an Anatomical VolumeHyunjin Park, Charles R. Meyer, Boklye Kim. miccai 2004: 745-751 [doi]

Adaptive registration using local information measuresHyunjin Park, Peyton H. Bland, Kristy K. Brock, Charles R. Meyer. mia, 8(4):465-473, 2004. [doi]

2003

Method for Quantifying Volumetric Lesion Change in Interval Liver CT ExaminationsCharles R. Meyer, Hyunjin Park, J. M. Balter, Peyton H. Bland. tmi, 22(6):776-781, 2003.

Adaptive registration and atlas-based segmentationHyunjin Park. PhD thesis, University of Michigan, USA, 2003. [doi]

Grid Refinement in Adaptive Non-rigid RegistrationHyunjin Park, Charles R. Meyer. miccai 2003: 796-803 [doi]

Construction of an Abdominal Probabilistic Atlas and its Application in SegmentationHyunjin Park, Peyton H. Bland, Charles R. Meyer. tmi, 22(4):483-492, 2003.

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