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Disambiguation of "Shim, Hackjoon"

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Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification.

, , , , and . CoRR, (2022)

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Yunchong Shim

Yohan Shim

YoonSik Shim

HyunJu Shim

Jaewook Shim

 

Other publications of authors with the same name

Mask-Rendering of Mitochondrial Transports Using VTK., , and . FGIT-DTA/BSBT, volume 258 of Communications in Computer and Information Science, page 161-166. Springer, (2011)Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images., , , , , and . CVII-STENT/LABELS@MICCAI, volume 11043 of Lecture Notes in Computer Science, page 161-168. Springer, (2018)Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI., , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 476-483. Springer, (2018)Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images., , , , and . Comput. Vis. Image Underst., 115 (12): 1710-1720 (2011)Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization., , , and . IEEE Access, (2021)Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI)., , , , , , , and . ICIP, page 3381-3384. IEEE, (2009)Volume-Rendering of Mitochondrial Transports Using VTK., , and . FGIT-ASEA/DRBC/EL, volume 257 of Communications in Computer and Information Science, page 56-60. Springer, (2011)Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks., , , and . Pattern Recognit., (2019)Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification., , , , and . CoRR, (2022)Maximum a posteriori estimation method for aorta localization and coronary seed identification., , , , , , , , and . Pattern Recognit., (2017)