[89]

Optimizing angular range in digital breast tomosynthesis: A phantom study investigating lesion detection across varied breast density and thickness

H. Kim, H. Kim, H. Eom, W. Choi, E. Chae, H. Shin, J. Cha, Y. Choi, Y. Choi, K. Kim, J. Min, W. Shim, S. Lee, S. Cho

Physica Medica, 2024.

​

[88]

Image up-sampling method for dual-radiation nondestructive cargo inspection system

H. Jo, D. Lee, S. Cho

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2024.

​

[87]

A novel analysis of the formation and resorption changes in dental hard tissue using longitudinal in vivo micro computed tomography

Y. Yoo, J. Hwang, S. Park, J. Hwang, S. Cho, S. Kim

DENTAL MATERIALS JOURNAL, 2024.

​

[86]

Image quality improvement in bowtie-filter-equipped cone-beam CT using a dual-domain neural network

S. Yun, U. Jeong, D. Lee, H. Kim, S. Cho

MEDICAL PHYSICS, 2023.

​

[85]

Homogenization of multi-institutional chest x-ray images in various data transformation schemes

H. Kim, S. Lee, W. Shim, M. Choi, S. Cho

Journal of Medical Imaging, v.10, pg. 061103, 2023.

​

[84]

Panoramic dental tomosynthesis imaging by use of CBCT projection data

T. Kwon, D. Choi, J. Hwang, T. Lee, I. Lee, S. Cho

Scientific Reports, v.13, pg. 8817, 2023.

​

[83]

Geometry calibration for a dental cone-beam CT system with an offset detector

J. Hwang, H. Kim, T. Lee, D. Choi, T. Kwon, S. Cho

Precision Engineering, v.79, pg. 264-276, 2023.

​

[82]

Feasibility study of using triple-energy CT images for improving stopping power estimation

Y. Kim, J. Kim, S. Cho

Nuclear Engineering and Technology, 2023.

​

[81]

A feasibility study on deep‐neural‐network‐based dose‐neutral dual‐energy digital breast tomosynthesis

H. Kim, H. Lee, S. Lee, Y. Choi, Y. Choi, K. Kim, W. Seo, C. Shin, S. Cho

MEDICAL PHYSICS, 2023

​

[80]

Feasibility study of a concurrent image reconstruction algorithm for proton therapy with in-beam TOF-PET

K. Son, J. Kim, C. Kao, S. Cho

Journal of the Korean Physical Society, v.81, pg. 1091–1099, 2022.

​​

[79]

Deep-learning-based projection-domain breast thickness estimation for shape-prior iterative image reconstruction in digital breast tomosynthesis

S. Lee, H. Kim, H. Lee, S. Cho

MEDICAL PHYSICS, v.49, pg. 3670-3682, 2022.

​

[78]

A generalized simultaneous algebraic reconstruction technique (GSART) for dual-energy X-ray computed tomography

D. Lee, S. Yun, J. Soh, S. Lim, H. Kim, S. Cho

JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, v.30, no.3, pp.549-566, 2022.

​

[77]

Lymphocyte dynamics during and after chemo-radiation correlate to dose and outcome in stage III NSCLC patients undergoing maintenance immunotherapy

Y. Cho, Y. Kim, I. Chamseddine, W. Lee, H. Kim, I. Lee, M. Hong, B. Cho, C. Lee, S. Cho, J. Kim, H. Yoon, C. Grassberger

Journal Radiotherapy and Oncology, v.168, pg. 1-7, 2022.

​

[76]

Image reconstruction with sparse-view measurements from a ring scanning gamma CT system

J. Moon, M. Park, S. Cho, J.G. Park, S.H. Jung.

Journal of Instrumentation, v.16, no.2, 2021.

​

[75]

Three-compartment-breast (3CB) prior-guided diffuse optical tomography based on dual-energy digital breast tomosynthesis (DBT)

S. Yun, Y. Kim, H. Kim, S. Lee, U. Jeong, H. Lee, Y.W. Choi, S. Cho.  

Bioedical optics express, v.12, no.8, pp.4837 - 4851, 2021.

​

[74]

Geometric and dosimetric verification of a recurrent neural network algorithm to compensate for respiratory motion using an articulated robotic couch

M. Lee, M.S. Cho, H. Lee, C. Jeong, J. Kwak, J. Jung, S.S. Kim, S.M. Yoon, S.Y. Song, S. Lee, J.H. Kim, E.K. Choi, S. Cho, B. Cho.

Journal of the Korean Physical Society, v. 78, pg. 64-72, 2021.

​

[73]

A novel low-dose dual-energy imaging method for a fast-rotating gantry-type CT scanner

S. Cho, S. Lee, J. Lee, D. Lee, H. Kim, J.H. Ryu, K. Jeong, K.G. Kim, K.H. Yoon, S. Cho.

IEEE Transactions on Medical Imaging, 2021.

​

[72]

A synthesizing method for signal-enhanced and artifact-reduced mammogram from digital breast tomosynthesis

H. Kim, J. Hong, T. Lee, Y.W. Choi, H.H. Kim, E.Y. Chae, W.J. Choi, S. Cho.

Physics in Medicine & Biology, v. 65, 2020.

​

[71] 

Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection

E.Y. Chae, H.H. Kim, S. Sabir, Y. Kim, H. Kim, S. Yoon, J.C. Ye, S. Cho, D. Heo, K.H. Kim, Y.M. Bae, Y.W. Choi.

Scientific Report. 2020.

​

[70] 

A Pilot Study of Chronological Microbiota Changes in a Rat Apical Periodontitis Model

O.J. Park, M.H. Jeong, E.H. Lee, M.R. Cho, J. Hwang, S. Cho, C.H. Yun, S.H. Hang, S.Y. Kim.

Microorganisms. 2020.

​

[69] 

Clinical implementation of a wide-field electron arc technique with a scatterer for widespread Kaposi's sarcoma in the distal extremities

S.W. Kim, C. Kim, M.S. Cho, S. Noh, M. Lee, C. Jeong, J. Kwak, M. Koh, S.Y. Song, S. Lee, J. Soh, S. Cho, B. Cho.

Scientific Report. 2020.

​

[68] 

Review of the Existing Relative Biological Effectiveness Models for Carbon Ion Beam Therapy

Y. Kim, J. Kim, S. Cho.

Progress in Medical Physics. 2020.

​

[67] 

Effective noise reduction algorithm for material decomposition in dual -energy X-ray inspection

D. Lee, H.H. Jo, S. Sim, J. Kim, K. Oh, B. Lee, N. Lee, S. Cho.

Nucl. Inst. Meth. Section A, 968, 2020.

​

[66] 

Deep Learning Diffuse Optical Tomography

J. Yoo, S. Sabir, D. Heo, K.H. Kim, A. Wahab, Y. Choi, S.I. Lee, E.Y. Chae, H.H. Kim, Y.M. Bae, Y.W. Choi, S. Cho, J.C. Ye.

IEEE Trans Med Imaging, v.39, no.4, pp. 877-887, 2020.

​

[65] 

On-beam computed tomography reconstruction for radiotherapy verification from projection image differences caused by motion during treatment

H. Lee, K.H. Cheong, J.W. Jung, B. Cho, S. Cho, I. Yeo.

Physics in Medicine and Biology, v. 65, no. 5, 2020.

​

[64]

Enhancement of soft-tissue contrast in cone-beam CT using an anti-scatter grid with a sparse sampling approach

S. Cho, C. Kim, S. Wi, T. Kwon, W. Youn, S. Lee, B. Kang, and S. Cho

Physica Medica, v.70, pp. 1-9, 2020.

​

[63]

Data-specific mask-guided image reconstruction for diffuse optical tomography

S. Sabir, S. Cho, D. Heo, K.H. Kim, S. Cho, R. Pua.

Applied Optics, v. 29, 9328-9339, 2020.

​

[62]

Convolutional neural network-based approach to estimate bulk optical properties in diffuse optical tomography

S. Sabir, S. Cho, Y. Kim, R. Pua, D. Heo, K.H. Kim, Y. Choi, S. Cho.

Applied Optics, v.59, no.5, pp.1461-1470, 2020.

​

[61]

Fluence-map generation for prostate intensity-modulated radiotherapy planning using a deep-neural-network

H. Lee, H. Kim, J. Kwak, Y.S. Kim, S.W. Lee, S. Cho, B. Cho

Scientific Reports, 2019.

​

[60]

Improvement of the Bonding Properties of Mineral Trioxide Aggregate by Elastin-Like Polypeptide Supplementation

H.J. Kim, D. Lee, S. Cho, J.H. Jang, S.G. Kim, S.Y. Kim

Scanning, 2019.

 

[59]

Selective morphological analysis of cerium metal in electrodeposit recovered from molten LiCl-KCl eutectic by radiography and computed tomography

Y. Jee, M. Park, S. Cho, and J. Yoon

Scientific Reports, 2019.

​

[58]

An additional tilted-scan-based CT metal-artifact-reduction method for radiation therapy planning

C. Kim, R. Pua, C. Lee, D. Choi, S. Cho, S. Lee, and J. Kwak

J. Appl. Clin. Med. Phys., 2019.

​

[57]

A weighted rebinned backprojection-filtration algorithm from partially beam-blocked data for a single-scan cone-beam CT with hybrid type scatter correction

J. Min, R. Pua, C. Kim, M. Park, J. Lee, S. Ye, and S. Cho

Med. Phys., 2019.

​

[56]

Backprojection filtration image reconstruction approach for reducing high-density object artifacts in digital breast tomosynthesis

H. Kim, J. Lee, J. Soh, J. Min, Y. Choi, and S. Cho

IEEE Tran. Med. Imag., 2019.

​

[55]

Deep-neural-network based sinogram interpolation for sparse-view CT image reconstruction

H. Lee, J. Lee, H. Kim, B. Cho, and S. Cho

IEEE Trans. Rad. Plas. Med. Sci., 2019.

​

[54]

Evaluation of delivered dose to a moving target by 4D dose reconstruction in gated volumetric modulated arc therapy

H. Chung, J. Jung, C. Jeong, J. Kwak, J. Park, S. Kim, S. Yoon, S. Song, J. Kim, E. Choi, S. Cho, and B. Cho.

PLOS One, 2018.

​

[53]

Optimal dose reduction algorithm using an attenuation-based tube current modulation method for cone-beam CT imaging

K. Son, J. Chang, H. Lee, C. Kim, T. Lee, S. Cho, S. Park, and J. Kim

PLOS One, February 15, 2018.

​

[52]

Efficient material decomposition method for dual-energy X-ray cargo inspection system

D. Lee, J. Lee, J. Min, B. Lee, B. Lee, K. Oh, J. Kim, and S. Cho

Nuclear Inst. and Methods in Physics Research Section A, 11 Mar. 2018, Volume884, pages:105-112, 2018.

​

[51]

사후 확률 최대화 기법을 이용한 4D SPECT 영상 복원

S. Cho, J. So, J. Chang, C. Kim, and S. Cho

대한의학영상정보학회지, v. 23, pp. 7-13, 2017.

​

[50]

A Feasibility Study of Low-Dose Single-Scan Dual-Energy Cone-Beam CT in Many-View Under-Sampling Framework

D. Lee, J. Lee, H. Kim, T. Lee, J. Soh, M. Park, C. Kim, Y. Lee, and S. Cho

IEEE Transactions on Medical Imaging, Volume:36, Issue:12 Dec. 2017.

​

[49]

Proton radiography and computed tomography with dynamic water range shifter

S. Park, C. Jeong, J. LEE, J.-i. Shin, J. H. Jeong, H. KIM, K. Jo, Y.-J. Kim, J.-H. Park and S. Cho

JINST, 12, P04004, Apr. 6, 2017

​

[48]

Efficient digitalization method for dental restorations using micro-CT data

C.H. Kim, S.H. Baek, T.W. Lee, J.G. Go, S.Y. Kim and S. Cho

Scientific Reports. 2017 Mar 15.

​

[47]

A novel pre-processing technique for improving image quality in digital breast tomosynthesis

H.S. Kim, T.W. Lee, J.P. Hong, S. Sabir, J.R Lee, Y.W. Choi, H.H Kim, E.Y. Chae and S. Cho

Medical Physics. 2017 Feb 2. Volume: 44, Issue: 2, Pages: 417-425

​

[46]

Investigation on beam-blocker-based scatter correction method for improving CT number accuracy

H.Y. Lee, J.H. Min, T.W. Lee, R. Pua, S. Sabir, K.H. Yoon, H.K. Kim and S. Cho

IEEE Transactions on Nuclear Science Volume: PP, Issue: 99

​

[45]

Fourier Analysis of Noise Characteristics in Cone-Beam Microtomography Laboratory Scanners

S.Y. Jang, H.K. Kim, H.B. Youn, I. Cunningham and S. Cho

IEEE Trans Biomed Eng. 2016 Apr 11. vol.PP, no.99, pp.1-1

​

[44]

Half-Fan-Based Intensity-Weighted Region-ofInterest Imaging for Low-Dose Cone-Beam CT in Image-Guided Radiation Therapy

B.Y. Yoo, K.H. Son, R.P. Pua, J.S. Kim, A. Solodov and S. Cho

Healthcare Informatics Research 2016 Oct, 22(04) 316-325

​

[43]

Feasibility Study of Robotics-based Patient Immobilization Device for Real-time Motion Compensation

H.K. Chung, B.C Cho and S. Cho

Prog Med Phys. 2016 Sep, 27(3) 117-124

​

[42]

Microtomography with sandwich detectors for small-animal bone imaging

S.H. Kim, D.W. Kim, D. Kim, H. Youn, H.K. Kim and S. Cho

JINST, 11, P10011, Oct. 14, 2016

​

[41]

Sampling scheme optimization for diffuse optical tomography based on data and image space rankings

S. Sabir, C. Kim, S. Cho, D. Heo, K. Kim, J. Ye, S. Cho

J. Biomed. Opt.,106004-1 - 106004-12, 2016

​

[40]

Imaging dose of human organs from kV-CBCT in image-guided radiation therapy

K. Son, J. Kim, H. Lee, S. Cho

Radiat. Prot. Dosimet., 2016

​

[39]

Moving beam-blocker-based low-dose cone-beam CT

T. Lee, C. Lee, J. Baek, S. Cho

IEEE Trans. Nucl. Sci.,vol.63,No.5, 2540 - 2549, 2016

​

[38]

A pseudo-discrete algebraic reconstruction technique (PDART) prior image based suppression of high density artifacts in computed tomography

R. Pua, M. Park, S. Wi, S. Cho

Nuclear Instrumentation and Methods A., 840, 42-50, 2016

​

[37]

Reconstruction of implanted marker trajectories from cone-beam CT projection images using interdimensional correlation modeling

H. Chung, P. Poulsen, P. Keall, B. Cho, S. Cho

Med. Phys., 43, 4643, 2016

​

[36]

An Image-Based Reduction of Metal Artifacts in Computed Tomography

R. Pua, S. Wi, M. Park, J. Lee, S. Cho

Journal of computer assisted tomography., 40, 131-141, 2016

​

[35]

Characterization of Screen-Printed Mercuric Iodide Photoconductors for Mammography

O. Joe, H. Kim, H. Youn, S. Kam, H. Han, S. Yun, I. Cunningham, S. Cho

IEEE Trans. Nucl. Sci., 62, 3288-3296, 2015

​

[34]

Analytic image reconstruction from partial data for a single-scan cone-beam CT with scatter correction

J. Min, R. Pua, I. Kim, B. Han, S. Cho

Med. Phys., 42, 6625-6640, 2015

​

[33]

Fully iterative scatter corrected digital breast tomosynthesis using GPU-based fast Monte Carlo simulation and composition ratio update

K. Kim, T. Lee, Y. Seong, J. Lee, K. Jang, J. Choi, Y. Choi, H. Kim, H. Shin, J. Cha, S. Cho, J. Ye

Med. Phys., 42, 5342-5355, 2015

​

[32]

Characterization of on-site digital mammography systems: direct versus indirect conversion detectors

H. Youn, J. Han, S. Yun, S. Kam, S. Cho and H. Kim.

J. Kor. Phys. Soc., 2015

​

[31]

The adaptation method in the Monte Carlo simulation for computed tomography

H. Lee, C. Yoon, S. Cho, S. Park, W. Lee

Nucl Eng Technol, 47, 472-478, 2015

 

[30]

Endodontic Treatment of an Anomalous Anterior Tooth with the Aid of a 3-dimensional Printed Physical Tooth Model

C. Byun, C. Kim, S. Cho, S. Baek, G. Kim, S. Kim and S. Kim

J. Endodontics, 41, 961-965, 2015

​

[29]

Sparse-view proton computed tomography using modulated proton beams

J. Lee, C. Kim, B. Min, J. Kwak, S. Park, S. Lee, S. Park and S. Cho

Med. Phys., 42, 1129-1137, 2015

​

[28]

Data consistency-driven scatter kernel optimization for x-ray cone-beam CT

C. Kim, M. Park, Y. Sung, J. Lee, J. Choi and S. Cho

Phys. Med. Biol., 60, 5971-5994, 2015

​

[27]

Test measurements and evaluations of industrial three-dimensional high-penetration tomography

B. Han, W. Kang, H. Lee, I. Kim, C. Kang, J. Min, T. Lee and S. Cho

J. Kor. Phys. Soc., 66, 518-520, 2015

​

[26]

Differential X-ray Phase-contrast Imaging with a Grating Interferometer Using a Laboratory X-ray Micro-focus Tube

K. Yoon, J. Ryu, C. Jung, C. Ryu, Y. Kim, Y. Kwon, M. Park, S. Cho and K. Chon

J. Kor. Phys. Soc., 65, 2111-2116, 2014

​

[25]

Fourier Analysis of the Imaging Characteristics of a CMOS Active Pixel Detector for Mammography by Using a Linearization Method

J. Han, S. Yun, H. Youn, S. Kam, S. Cho, T. Achterkirchen and H. Kim

J. Kor. Phys. Soc., 65, 770-777, 2014.

 

[24]

Energy-Efficient Probabilistic Routing Algorithm for Internet of Things

S. Park, S. Cho and J. Lee

J. Appl. Math, 2014, 2014

 

[23]

Evaluation of radiation dose to organs during kilovoltage cone-beam computed tomography using Monte Carlo simulation

K. Son, S. Cho, J. Kim, Y. Han and S. Ju

J. Appli. Clin. Med. Phys., 15, 295-302, 2014

 

[22]

Improving image accuracy of region-of-interest in cone-beam CT using prior image

J. Lee, J. Kim and S. Cho

J. Appli. Clin. Med. Phys., 15, 252-261, 2014

​

[21]

Sparse-view computed laminography with a spherical sinusoidal scan for nondestructive testing

S. Abbas, M. Park, J. Min, H. Kim and S. Cho

Optics Express, 22, 17745-17755, 2014

 

[20]

Super-sparsely view-sampled cone-beam CT by incorporating prior data

S. Abbas, J. Min and S. Cho

J. X-ray Sci. Tech., 21, 71-83, 2013

 

[19]

Effects of sparse sampling schemes on image quality in low-dose CT

S. Abbas, T. Lee, S. Shin, R. Lee and S. Cho

Med. Phys., 40, 111915, 2013

​

[18]

Proton-radiography-based quality assurance of proton range compensator

S. Park, C. Jeong, D. Kang, J. Shin, S. Cho, et al.

Phys. Med. Biol., 58, 6511-6523, 2013.

​

[17]

​Comparison of Intensity-modulated Radiation Therapy (IMRT), Uniform Scanning Proton Therapy (USPT), and Intensity-modulated Proton Therapy (IMPT) for Prostate Cancer: A Treatment Planning Study

K. Son, S. Cho, J. Kim, Y. Han, S. Ju, et al.

Prog. Med. Phys., 24, 154-160, 2013

​

[16]

Feasibility study on many-view under sampling (MVUS) technique for low-dose computed tomography

S. Cho, T. Lee, J. Min and H. Chung

Opt. Eng., 51, 120837L, 2012

 

[15]

A dual-energy material decomposition method for high-energy X-ray cargo inspection

J. Lee, Y. Lee, B. Lee and S. Cho

J. Kor. Phys. Soc., 61, 821-824, 2012

​

[14]

Sparse-view image reconstruction in a prosectively gated micro-CT for fast and low-dose imaging

J. Min, K. Kim, G. Cho and S. Cho

J. Kor. Phys. Soc., 60, 1157-1160, 2012

​

[13]

Backprojection-filtration reconstruction without invoking a spatially varying weighting factor

D. Xia, S. Cho and X. Pan

Med. Phys., 37, 1201-1209, 2010.

 

[12]

Dual-energy technique at low tube voltages for small animal imaging

S. Cho, E. Y. Sidky, J. Bian and X. Pan

Tsinghua Sci. Technol., 15, 79-86, 2010.

 

[11]

A BPF-FBP tandem algorithm for image reconstruction in reverse helical cone-beam computed tomography

S. Cho, D. Xia, C. A. Pelizzari and X. Pan

Med. Phys., 37, 32-39, 2010.

​

[10]

Image reconstruction in reduced circular sinusoidal cone-beam CT

D. Xia, S. Cho and X. Pan

J. X-ray Sci. Tech., 17, 189-205, 2009.

​

[9]

Region-of-interest image reconstruction with intensity weighting in circular cone-beam CT for image-guided radiation therapy

S. Cho, E. Peason, C. A. Pelizzari and X. Pan

Med. Phys., 36, 1184-1192, 2009.

 

[8]

Exact reconstruction of volumetric images in reverse helical cone-beam CT

S. Cho, D. Xia, C. A. Pelizzari and X. Pan

Med. Phys., 35, 3030-3040, 2008.

 

[7]

An exact analytic approach to 3D PET image reconstruction

C. -M. Kao, Y. Zou, S. Cho, and X. Pan

Int. J. Image and Graphics, 7, 35-54, 2007.

​

[6]

Region-of-interest image reconstruction in circular cone-beam micro-CT

S. Cho, J. Bian, C. A. Pelizzari, C. -T. Chen, T. -C. He, and X. Pan

Med. Phys., 34, 4923-4933, 2007.

​

[5]

3D ROI image reconstruction from cone-beam data

D. Xia, S. Cho, J. Bian, Y. Zou, E. Y. Sidky, N. Zuo, and X. Pan

Nucl. Inst. Meth. A, 580, 866-875, 2007.

​

[4]

Edge gain suppression of a planar-type InGaAs-InP avalanche photodiode with thin multiplication layers for 10-gb/s applications

J. Burm, J.Y. Choi, S. Cho (appeared as S.R. Cho), M.D. Kim, S.K. Yang, J.M. Baek, D.Y. Rhee, B.O. Jeon, H.Y. Kang, and D.H. Jang

IEEE Photon. Technol. Lett. 16, 1721-1723, 2004.

​

[3]

Enhanced optical coupling performance in an InGaAs photodiode integrated with wet-etched microlens

S. Cho, J. Kim, K. Oh, S. Yang, J. Baek, D. Jang, T. Kim, and H. Jeon

IEEE Photon. Technol. Lett. 14, 378-380, 2002.

​

[2]

Investigations of floating gaurd structures in a planar InGaAs/InGaAsP/InP avalanche photodiode

S. Cho, S. Yang, J. Ma, J. Yu, S. Lee, A. Choo and T. Kim

J. Kor. Phys. Soc., 38, 182-185, 2001.

​

[1]

Suppression of avalanche multiplication at the periphery of diffused junction by floating guard rings in a planar InGaAs-InP avalanche photodiode

S. Cho , S. Yang, J. Ma, S. Lee, J. Yu, A. Choo, T. Kim and J. Burm

IEEE Photon. Technol. Lett. 12, 534-536, 2000.

​

​