Chang Min Hyun

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All published works
Action Title Year Authors
+ PDF Chat NeRF Solves Undersampled MRI Reconstruction 2024 Tae Jun Jang
Chang Min Hyun
+ Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoring 2024 Chang Min Hyun
Tae-Geun Kim
Kyounghun Lee
+ Automatic 3D Registration of Dental CBCT and Face Scan Data using 2D Projection Images 2024 Hyoung Suk Park
Chang Min Hyun
Sang-Hwy Lee
Jin Keun Seo
Kiwan Jeon
+ Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography 2023 Hyoung Suk Park
Chang Min Hyun
Jin Keun Seo
+ PDF Chat Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography 2023 Chang Min Hyun
Tae Jun Jang
Jeongchan Nam
Hyeuknam Kwon
Kiwan Jeon
Kyounghun Lee
+ Machine Learning-based Signal Quality Assessment for Cardiac Volume Monitoring in Electrical Impedance Tomography 2023 Chang Min Hyun
Tae Jun Jang
Jeongchan Nam
Hyeuknam Kwon
Kiwan Jeon
Kyunghun Lee
+ Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography 2023 Hyoung Suk Park
Chang Min Hyun
Jin Keun Seo
+ Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoring 2023 Chang Min Hyun
Tae-Geun Kim
Kyounghun Lee
+ Automatic 3D Registration of Dental CBCT and Face Scan Data using 2D Projection Images 2023 Hyoung Suk Park
Chang Min Hyun
Sang-Hwy Lee
Jin Keun Seo
Kiwan Jeon
+ Deep Learning for Ill Posed Inverse Problems in Medical Imaging 2023 Chang Min Hyun
Jin Keun Seo
+ Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling 2022 Chang Min Hyun
Taigyntuya Bayaraa
Hye Sun Yun
Tae Jun Jang
Hyoung Suk Park
Jin Keun Seo
+ PDF Chat Deep learning-based solvability of underdetermined inverse problems in medical imaging 2021 Chang Min Hyun
Seong Hyeon Baek
Mingyu Lee
Sung Min Lee
Jin Keun Seo
+ Automated 3D cephalometric landmark identification using computerized tomography 2021 Hye Sun Yun
Chang Min Hyun
Seong Hyeon Baek
Sang-Hwy Lee
Jin Keun Seo
+ Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification 2021 Tae Jun Jang
Hye Sun Yun
Chang Min Hyun
Jong‐Eun Kim
Sang-Hwy Lee
Jin Keun Seo
+ Framelet pooling aided deep learning network: the method to process high dimensional medical data 2020 Chang Min Hyun
Kang Cheol Kim
Hyun Cheol Cho
Jae Kyu Choi
Jin Keun Seo
+ Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging 2020 Chang Min Hyun
Seong Hyeon Baek
Mingyu Lee
Sung Min Lee
Jin Keun Seo
+ A two-stage approach for beam hardening artifact reduction in low-dose dental CBCT 2020 Taigyntuya Bayaraa
Chang Min Hyun
Tae Jun Jang
S. M. Lee
Jin Keun Seo
+ PDF Chat A Two-Stage Approach for Beam Hardening Artifact Reduction in Low-Dose Dental CBCT 2020 Taigyntuya Bayaraa
Chang Min Hyun
Tae Jun Jang
Sung‐Min Lee
Jin Keun Seo
+ Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging 2020 Chang Min Hyun
Seong Hyeon Baek
Mingyu Lee
Sung Min Lee
Jin Keun Seo
+ Framelet Pooling Aided Deep Learning Network : The Method to Process High Dimensional Medical Data 2019 Chang Min Hyun
Kang Cheol Kim
Hyun Cheol Cho
Jae Kyu Choi
Jin Keun Seo
+ Deep learning for undersampled MRI reconstruction 2018 Chang Min Hyun
Hwa Pyung Kim
Sung Min Lee
Sung Chul Lee
Jin Keun Seo
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Nonlinear Inverse Problems in Imaging 2012 Jin Keun Seo
Eung Je Woo
8
+ PDF Chat Deep Convolutional Neural Network for Inverse Problems in Imaging 2017 Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
Michaël Unser
5
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
5
+ Framelet pooling aided deep learning network: the method to process high dimensional medical data 2020 Chang Min Hyun
Kang Cheol Kim
Hyun Cheol Cho
Jae Kyu Choi
Jin Keun Seo
5
+ PDF Chat Characterization of Metal Artifacts in X‐Ray Computed Tomography 2017 Hyoung Suk Park
Jae Kyu Choi
Jin Keun Seo
5
+ PDF Chat Deep learning-based solvability of underdetermined inverse problems in medical imaging 2021 Chang Min Hyun
Seong Hyeon Baek
Mingyu Lee
Sung Min Lee
Jin Keun Seo
5
+ PDF Chat Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information 2006 Emmanuel J. CandĂšs
Justin Romberg
Terence Tao
4
+ Deep learning for undersampled MRI reconstruction 2018 Chang Min Hyun
Hwa Pyung Kim
Sung Min Lee
Sung Chul Lee
Jin Keun Seo
4
+ PDF Chat One Network to Solve Them All — Solving Linear Inverse Problems Using Deep Projection Models 2017 Je-Yuan Chang
Chun‐Liang Li
BarnabĂĄs PĂłczos
B. V. K. Vijaya Kumar
Aswin C. Sankaranarayanan
3
+ Compressed sensing 2006 David L. Donoho
3
+ PDF Chat Decoding by Linear Programming 2005 Emmanuel J. CandĂšs
Terence Tao
3
+ PDF Chat MR Image Reconstruction Using Deep Density Priors 2018 Kerem Can Tezcan
Christian F. Baumgartner
Roger Luechinger
Klaas P. Pruessmann
Ender Konukoğlu
3
+ PDF Chat CT sinogram‐consistency learning for metal‐induced beam hardening correction 2018 Hyoung Suk Park
Sung Min Lee
Hwa Pyung Kim
Jin Keun Seo
Yong Eun Chung
3
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
3
+ PDF Chat An iterative thresholding algorithm for linear inverse problems with a sparsity constraint 2004 Ingrid Daubechies
Michel Defrise
Christine De Mol
3
+ PDF Chat Youden Index and Optimal Cut‐Point Estimated from Observations Affected by a Lower Limit of Detection 2008 Marcus D. Ruopp
Neil J. Perkins
Brian W. Whitcomb
Enrique F. Schisterman
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat Stable signal recovery from incomplete and inaccurate measurements 2006 Emmanuel J. CandĂšs
Justin Romberg
Terence Tao
2
+ PDF Chat Generalization with Deep Learning 2020 Zhenghua Chen
Min Wu
Xiaoli Li
2
+ A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction 2017 Eun‐Hee Kang
Junhong Min
Jong Chul Ye
2
+ PDF Chat A Two-Stage Approach for Beam Hardening Artifact Reduction in Low-Dose Dental CBCT 2020 Taigyntuya Bayaraa
Chang Min Hyun
Tae Jun Jang
Sung‐Min Lee
Jin Keun Seo
2
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
2
+ Spectral Normalization for Generative Adversarial Networks 2018 Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
2
+ PDF Chat Unpaired Image Denoising Using a Generative Adversarial Network in X-Ray CT 2019 Hyoung Suk Park
Jineon Baek
Sun Kyoung You
Jae Kyu Choi
Jin Keun Seo
2
+ Generative networks as inverse problems with Scattering transforms 2018 TomĂĄs Angles
Stéphane Mallat
2
+ Adversarial Examples: Attacks and Defenses for Deep Learning 2019 Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
2
+ Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015 Alec Radford
Luke Metz
Soumith Chintala
2
+ PyTorch: An Imperative Style, High-Performance Deep Learning Library 2019 Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
2
+ From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images 2009 Alfred M. Bruckstein⋆
David L. Donoho
Michael Elad
2
+ PDF Chat Semantic Image Inpainting with Deep Generative Models 2017 Raymond A. Yeh
Chen Chen
Teck Yian Lim
Alexander G. Schwing
Mark Hasegawa–Johnson
N. Minh
2
+ PDF Chat A Learning-Based Method for Solving Ill-Posed Nonlinear Inverse Problems: A Simulation Study of Lung EIT 2019 Jin Keun Seo
Kang Cheol Kim
Ariungerel Jargal
Kyounghun Lee
Bastian Harrach
2
+ Using auto-encoders for solving ill-posed linear inverse problems 2019 Shirin Jalali
Xin Yuan
2
+ Exponential expressivity in deep neural networks through transient chaos 2016 Ben Poole
Subhaneil Lahiri
Maithra Raghu
Jascha Sohl‐Dickstein
Surya Ganguli
2
+ PDF Chat Identity Mappings in Deep Residual Networks 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat The meaning of interior tomography 2013 Ge Wang
Hengyong Yu
2
+ PDF Chat Generative adversarial network in medical imaging: A review 2019 Yi Xin
Ekta Walia
Paul Babyn
2
+ Deep Learning Interior Tomography for Region-of-Interest Reconstruction 2017 Yoseob Han
Jawook Gu
Jong Chul Ye
2
+ PDF Chat A Fidelity-Embedded Regularization Method for Robust Electrical Impedance Tomography 2017 Kyounghun Lee
Eung Je Woo
Jin Keun Seo
2
+ Self-Attention Generative Adversarial Networks 2018 Han Zhang
Ian Goodfellow
Dimitris Metaxas
Augustus Odena
2
+ Correction by Projection: Denoising Images with Generative Adversarial Networks 2018 Subarna Tripathi
Zachary C. Lipton
Truong Q. Nguyen
2
+ Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging 2020 Chang Min Hyun
Seong Hyeon Baek
Mingyu Lee
Sung Min Lee
Jin Keun Seo
2
+ PDF Chat Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT 2018 Yoseob Han
Jong Chul Ye
2
+ Statistical iterative reconstruction using adaptive fractional order regularization 2016 Yi Zhang
Yan Wang
Weihua Zhang
Feng Lin
Yi‐Fei Pu
Jiliu Zhou
1
+ TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems 2016 Martı́n Abadi
Ashish Agarwal
Paul Barham
Eugene Brevdo
Zhifeng Chen
Craig Citro
Gregory S. Corrado
Andy Davis
Jay B. Dean
Matthieu Devin
1
+ PDF Chat Invariant Scattering Convolution Networks 2013 Joan Bruna
Stéphane Mallat
1
+ PDF Chat Understanding deep convolutional networks 2016 Stéphane Mallat
1
+ PDF Chat On B-Spline Framelets Derived from the Unitary Extension Principle 2013 Zuowei Shen
Zhiqiang Xu
1
+ <b>OptimalCutpoints</b>: An<i>R</i>Package for Selecting Optimal Cutpoints in Diagnostic Tests 2014 Mónica López‐Ratón
MarĂ­a XosĂ© RodrĂ­guez‐Álvarez
Carmén Cadarso-Suårez
Francisco Gudé
1
+ PDF Chat COMPACTNESS AND DIRICHLET'S PRINCIPLE 2014 Jin Keun Seo
Hamdi Zorgati
1
+ For most large underdetermined systems of linear equations the minimal 𝓁<sub>1</sub>‐norm solution is also the sparsest solution 2006 David L. Donoho
1