Jang Hwan Choi

Orcid: 0000-0001-9273-034X

Affiliations:
  • Ewha Womans University, Department of Artificial Intelligence, Seoul, Korea
  • Stanford University, CA, USA (PhD 2015)


According to our database1, Jang Hwan Choi authored at least 31 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Efficient Deep-Detector Image Quality Assessment Based on Knowledge Distillation.
IEEE Trans. Instrum. Meas., 2024

2023
Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-Shapes for Transformer-Based Medical Tasks.
IEEE J. Biomed. Health Informatics, April, 2023

Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023).
Dataset, April, 2023

A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer.
PeerJ Comput. Sci., 2023

Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
No-reference perceptual CT image quality assessment based on a self-supervised learning framework.
Mach. Learn. Sci. Technol., December, 2022

Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements.
IEEE Trans. Biomed. Eng., 2022

Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer.
Sensors, 2022

Unsupervised Domain Adaptation for Low-Dose Computed Tomography Denoising.
IEEE Access, 2022

Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021
Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT.
Mach. Vis. Appl., 2021

Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements.
CoRR, 2021

3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT.
IEEE Access, 2021

Abstract: Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.
CoRR, 2020

Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020


Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Smooth Ride: Low-Pass Filtering of Manual Segmentations Improves Consensus.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018
Real-Time Tumor Motion Tracking in 3D Using Planning 4D CT Images during Image-Guided Radiation Therapy.
Algorithms, 2018

Precision Learning: Towards Use of Known Operators in Neural Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Comparison of Different Approaches for Measuring Tibial Cartilage Thickness.
J. Integr. Bioinform., 2017

Fully automated nipple detection in digital breast tomosynthesis.
Comput. Methods Programs Biomed., 2017

2016
Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems.
Int. J. Biomed. Imaging, 2016

Bridge to real data: Empirical multiple material calibration for learning-based material decomposition.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Image-based compensation for involuntary motion in weight-bearing C-arm cone-beam CT scanning of knees.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Projection-Based Denoising Method for Photon-Counting Energy-Resolving Detectors.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014
Automatic Removal of Externally Attached Fiducial Markers in Cone Beam C-Arm CT.
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014


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