( en | de | ru )

 

Disambiguation of "Choi, Jang-Hwan"

Author of the publication

copydeleteadd this publication to your clipboard
Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023).

, , , , , , and . (April 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jang-Hwan Im

Sung-Hwan Choi

Liem Khiem Jang

Saeed Jangani

Eun-Ju Jang

 

Other publications of authors with the same name

Abstract: Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee., , , , , , and . Bildverarbeitung für die Medizin, page 336. Springer, (2021)Comparison of Different Approaches for Measuring Tibial Cartilage Thickness., , , , , , , , , and . J. Integr. Bioinform., (2017)Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer., , and . Sensors, 22 (17): 6594 (2022)Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee., , , , , , and . MICCAI (3), volume 12263 of Lecture Notes in Computer Science, page 14-23. Springer, (2020)Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT., , , , , , , , , and . CoRR, (2019)Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT., , , , , and . Mach. Vis. Appl., 32 (6): 116 (2021)Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model., , and . MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 433-443. Springer, (2023)Precision Learning: Towards Use of Known Operators in Neural Networks., , , , , , and . ICPR, page 183-188. IEEE Computer Society, (2018)Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT., , , , , , , , , and . Bildverarbeitung für die Medizin, page 67-72. Springer, (2020)Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)