Kihwan Choi (0000-0003-4724-0418)

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Biography

Kihwan Choi received the B.S. and M.S. degrees in electrical engineering and computer science from Seoul National University, Seoul, South Korea, the M.S. and Ph.D. degrees in electrical engineering, and the M.S. degree in statistics from Stanford University, Stanford, CA, USA. He is currently an Assistant Professor at the Department of Applied Artificial Intelligence, Seoul National University of Science and Technology (Seoultech), Seoul, South Korea. His current research interests include convex optimization, machine learning, medical imaging, computer vision, and artificial intelligence.

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Seoul National University of Science and Technology: Seoul, KR

2023-09-01 to present | Assistant Professor (Applied Artificial Intelligence)

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Kihwan Choi

https://orcid.org/0000-0003-4724-0418

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Biography

Activities

Employment (3)

Seoul National University of Science and Technology: Seoul, KR

Korea Institute of Science and Technology: Seongbuk-gu, Seoul, KR

Samsung Advanced Institute of Technology: Suwon, KR

Education and qualifications (1)

Stanford University: Stanford, CA, US

Works (27)

Self-supervised learning for CT image denoising and reconstruction: a review

Self-supervised denoising of projection data for low-dose cone-beam CT

Self-supervised inter- and intra-slice correlation learning for low-dose CT image restoration without ground truth

Prediction of the histology of colorectal neoplasm in white light colonoscopic images using deep learning algorithms

Self-supervised Projection Denoising for Low-Dose Cone-Beam CT

Weakly Supervised Attention Map Training for Histological Localization of Colonoscopy Images

Computer-Aided Diagonosis for Colorectal Cancer using Deep Learning with Visual Explanations

Statistical Image Restoration for Low-Dose CT using Convolutional Neural Networks

StatNet: Statistical Image Restoration for Low-Dose CT using Deep Learning

Trainable Multi-Contrast Windowing for Liver CT Segmentation

Semi-Supervised Learning for Low-Dose CT Image Restoration with Hierarchical Deep Generative Adversarial Network (HD-GAN)

Image processing apparatus and method based on deep learning and neural network learning

Tomography apparatus and method for reconstructing tomography image thereof

Real-Time Image Reconstruction for Low-Dose CT using Deep Convolutional Generative Adversarial Networks (GANs)

Apparatus and method for object recognition and for training object recognition model

Apparatus and method to train autonomous driving model, and autonomous driving apparatus

A Subband-Specific Deconvolution Model for MTF Improvement in CT

A distance-driven deconvolution method for CT image-resolution improvement

A preliminary study of an image synthesis method to simulate the change in the incident X-ray spectrum by using thickness information

A Fourier-based compressed sensing technique for accelerated CT image reconstruction using first-order methods

Enhancement of four-dimensional cone-beam computed tomography by compressed sensing with Bregman iteration

First study of on-treatment volumetric imaging during respiratory gated VMAT

Total-Variation Regularization Based Inverse Planning for Intensity Modulated Arc Therapy

Three- and Four-Dimensional Morphological Imaging for Adaptive Radiation Therapy Planning

Compressed sensing based cone-beam computed tomography reconstruction with a first-order method

CLPC: cross-layer product code for video multicast over IEEE 802.11

Reliable multicast for wireless LAN

Peer review (62 reviews for 11 publications/grants)