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Disambiguation of "Choi, Jang-Hwan"

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Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer.

, , and . Sensors, 22 (17): 6594 (2022)

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Jang-Hwan Im

Sung-Hwan Choi

Tae-Seok Jang

Liem Khiem Jang

Saeed Jangani

 

Other publications of authors with the same name

3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT., , , , and . IEEE Access, (2021)Efficient Deep-Detector Image Quality Assessment Based on Knowledge Distillation., , and . IEEE Trans. Instrum. Meas., (2024)A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer., , , and . PeerJ Comput. Sci., (2023)Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising., , , , , , , , , and 3 other author(s). CoRR, (2022)Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT., , , , , , , , , and . CoRR, (2019)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)Abstract: Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee., , , , , , and . Bildverarbeitung für die Medizin, page 336. Springer, (2021)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)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)