An Exact Analytic Approach to 3D PET Image Reconstruction. - Chien-Min Kao; Yu Zou; Seungryong Cho; Xiaochuan Pan (Int. J. Image Graph., 2007)

Statistical reconstruction using dual formulation of subband-wise total variation regularization (SDST) for limited angle tomography. - Kwang Eun Jang; Younghun Sung; Kangeui Lee; Jongha Lee; Seungryong Cho (ISBI, 2011)

Mathematical Methods and Applications in Medical Imaging. - Liang Li; Tianye Niu; Seungryong Cho; Zhentian Wang (Comput. Math. Methods Medicine, 2014)

Energy-Efficient Probabilistic Routing Algorithm for Internet of Things. - Sang-Hyun Park; Seungryong Cho; Jung-Ryun Lee (J. Appl. Math., 2014)

Spatially varying regularization based on retrieved support in diffuse optical tomography. - Sohail Sabir; Sanghoon Cho; Seungryong Cho (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Auto-focused panoramic dental tomosynthesis imaging with exponential polynomial based sharpness indicators. - Taewon Lee; Yeon Ju Lee; Seungryong Cho (Image Processing, 2017)

View-interpolation of sparsely sampled sinogram using convolutional neural network. - Hoyeon Lee; Jongha Lee; Seungryong Cho (Image Processing, 2017)

Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography. - Jaejun Yoo 001; Sohail Sabir; Duchang Heo; Kee Hyun Kim; Abdul Wahab 002; Yoonseok Choi; Seul-I Lee; Eun Young Chae; Hak Hee Kim; Young Min Bae; Young-Wook Choi; Seungryong Cho; et al. (CoRR, 2017)

Fourier Analysis of Noise Characteristics in Cone-Beam Microtomography Laboratory Scanners. - Sun Young Jang; Ho Kyung Kim; Hanbean Youn; Seungryong Cho; Ian A. Cunningham (IEEE Trans. Biomed. Eng., 2017)

A Feasibility Study of Low-Dose Single-Scan Dual-Energy Cone-Beam CT in Many-View Under-Sampling Framework. - Donghyeon Lee; Jiseoc Lee; Hyoyi Kim; Taewon Lee; Jeongtae Soh; Miran Park; Changhwan Kim; Yeon Ju Lee; Seungryong Cho (IEEE Trans. Medical Imaging, 2017)

Sinogram synthesis using convolutional-neural-network for sparsely view-sampled CT. - Jongha Lee; Hoyeon Lee; Seungryong Cho (Image Processing, 2018)

Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction. - Hoyeon Lee; Jongha Lee; Hyeongseok Kim; Byungchul Cho; Seungryong Cho (CoRR, 2018)

Backprojection Filtration Image Reconstruction Approach for Reducing High-Density Object Artifacts in Digital Breast Tomosynthesis. - Hyeongseok Kim; Jongha Lee; Jeongtae Soh; Jonghwan Min; Young-Wook Choi; Seungryong Cho (IEEE Trans. Medical Imaging, 2019)

Mask-guided diffusion optical tomography image reconstruction for breast imaging. - Yejin Kim; Sungho Yun; Seungryong Cho (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Deep Learning Diffuse Optical Tomography. - Jaejun Yoo 001; Sohail Sabir; Duchang Heo; Kee Hyun Kim; Abdul Wahab 002; Yoonseok Choi; Seul-I Lee; Eun Young Chae; Hak Hee Kim; Young Min Bae; Young-Wook Choi; Seungryong Cho; et al. (IEEE Trans. Medical Imaging, 2020)

A Novel Low-Dose Dual-Energy Imaging Method for a Fast-Rotating Gantry-Type CT Scanner. - Sanghoon Cho; Seoyoung Lee; Jongha Lee; Donghyeon Lee; Hyoyi Kim; Jong-Hyun Ryu; Kilhwan Jeong; Kyu-Gyum Kim; Kwon-Ha Yoon; Seungryong Cho (IEEE Trans. Medical Imaging, 2021)

Smooth manifold extraction for 2D synthetic radiography using 2D CNT array-based DTS system. - Jeongtae Soh; Subong Hyun; Hyeongseok Kim; Mikiko Ito; Young-Jun Jung; Tae-Hyung Kim; Seungryong Cho (Image Processing, 2023)

Improving Cone-Beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings. - Joonil Hwang; Sangjoon Park; NaHyeon Park; Seungryong Cho; Jin Sung Kim (MICCAI (1), 2024)

Sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization. - Heejun Shin; Taehee Kim; Jongho Lee; Se Young Chun; Seungryong Cho; Dongmyung Shin (Comput. Biol. Medicine, 2025)