( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023).

, , , , , , и . (апреля 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.

Jang-Hwan Im

Sung-Hwan Choi

Liem Khiem Jang

Saeed Jangani

Eun-Ju Jang

 

Другие публикации лиц с тем же именем

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