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Disambiguation of "Chun, Se Young"

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On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator.

, , , and . ICASSP, page 3592-3596. IEEE, (2020)

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Se-Young Choi

Se-Young Jeong

Sun-Young Chun

Young-Sook Chun

Christopher Young

 

Other publications of authors with the same name

Multi-Temporal Recurrent Neural Networks for Progressive Non-uniform Single Image Deblurring with Incremental Temporal Training., , , and . ECCV (6), volume 12351 of Lecture Notes in Computer Science, page 327-343. Springer, (2020)Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT., , , , , and . IEEE Trans. Medical Imaging, 42 (10): 2961-2973 (October 2023)A simple penalty that encourages local invertibility and considers sliding effects for respiratory motion., , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 72592U. SPIE, (2009)A Simple Regularizer for B-spline Nonrigid Image Registration That Encourages Local Invertibility., and . J. Sel. Topics Signal Processing, 3 (1): 159-169 (2009)Theoretical analysis on Noise2Noise using Stein's Unbiased Risk Estimator for Gaussian denoising: Towards unsupervised training with clipped noisy images., , and . CoRR, (2019)Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging., , , , and . CoRR, (2022)Detailed Human-Centric Text Description-Driven Large Scene Synthesis., , , , and . CoRR, (2023)Preliminary Studies On Training And Fine-Tuning Deep Denoiser Neural Networks In Learned D-Amp For Undersampled Real Mr Measurements., , and . ISBI Workshops, page 1-4. IEEE, (2020)Development and operation of a digital platform for sharing pathology image data., , , , , , , , , and 10 other author(s). BMC Medical Informatics Decis. Mak., 21 (1): 114 (2021)Empirically Accelerating Scaled Gradient Projection Using Deep Neural Network for Inverse Problems in Image Processing., and . ICASSP, page 1415-1419. IEEE, (2021)