|Added value of computer-aided CT image features for early lung cancer diagnosis with small pulmonary nodules: a matched case-control study|
P Huang, S Park, R Yan, J Lee, LC Chu, CT Lin, A Hussien, J Rathmell, ...
Radiology 286 (1), 286-295, 2018
|Abdominal multi-organ segmentation with organ-attention networks and statistical fusion|
Y Wang, Y Zhou, W Shen, S Park, EK Fishman, AL Yuille
Medical image analysis 55, 88-102, 2019
|Utility of CT radiomics features in differentiation of pancreatic ductal adenocarcinoma from normal pancreatic tissue|
LC Chu, S Park, S Kawamoto, DF Fouladi, S Shayesteh, ES Zinreich, ...
American Journal of Roentgenology 213 (2), 349-357, 2019
|Shape and appearance repair for incomplete point surfaces|
S Park, X Guo, H Shin, H Qin
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005
|Surface completion for shape and appearance|
S Park, X Guo, H Shin, H Qin
The Visual Computer 22 (3), 168-180, 2006
|Application of deep learning to pancreatic cancer detection: lessons learned from our initial experience|
LC Chu, S Park, S Kawamoto, Y Wang, Y Zhou, W Shen, Z Zhu, Y Xia, ...
Journal of the American College of Radiology 16 (9), 1338-1342, 2019
|Analysis of initial and follow-up CT findings in patients with invasive pulmonary aspergillosis after solid organ transplantation|
C Lim, JB Seo, SY Park, HJ Hwang, HJ Lee, SO Lee, EJ Chae, KH Do, ...
Clinical radiology 67 (12), 1179-1186, 2012
|Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features|
S Park, LC Chu, RH Hruban, B Vogelstein, KW Kinzler, AL Yuille, ...
Diagnostic and Interventional Imaging 101 (9), 555-564, 2020
|Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation|
S Park, LC Chu, EK Fishman, AL Yuille, B Vogelstein, KW Kinzler, ...
Diagnostic and interventional imaging 101 (1), 35-44, 2020
|Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade|
S Berry, NA Giraldo, BF Green, TR Cottrell, JE Stein, EL Engle, H Xu, ...
Science 372 (6547), eaba2609, 2021
|Automatic reconstruction of the arterial and venous trees on volumetric chest CT|
S Park, S Min Lee, N Kim, J Beom Seo, H Shin
Medical physics 40 (7), 071906, 2013
|Hyper-pairing network for multi-phase pancreatic ductal adenocarcinoma segmentation|
Y Zhou, Y Li, Z Zhang, Y Wang, A Wang, EK Fishman, AL Yuille, S Park
International conference on medical image computing and computer-assisted …, 2019
|Design of the agent-based network-centric warfare modeling system|
S Park, HY Shin, TS Lee, BW Choi
Journal of the Korea Society for Simulation 19 (4), 271-280, 2010
|Direct slicing of a point set model for rapid prototyping|
H Shin, S Park, E Park
Computer-Aided Design and Applications 1 (1-4), 109-115, 2004
|Hybrid grid generation for viscous flow analysis|
S Park, B Jeong, JG Lee, H Shin
International Journal for Numerical Methods in Fluids 71 (7), 891-909, 2013
|Deep lessons learned: radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis|
EM Weisberg, LC Chu, S Park, AL Yuille, KW Kinzler, B Vogelstein, ...
Diagnostic and Interventional Imaging 101 (2), 111-115, 2020
|Simultaneous tumor and surrogate motion tracking with dynamic MRI for radiation therapy planning|
S Park, R Farah, SM Shea, E Tryggestad, R Hales, J Lee
Physics in Medicine & Biology 63 (2), 025015, 2018
|Deformable registration of CT and cone-beam CT with local intensity matching|
S Park, W Plishker, H Quon, J Wong, R Shekhar, J Lee
Physics in Medicine and Biology 62 (3), 927-947, 2017
|An engineering view on megatrends in radiology: digitization to quantitative tools of medicine|
N Kim, J Choi, J Yi, S Choi, S Park, Y Chang, JB Seo
Korean journal of radiology 14 (2), 139-153, 2013
|Efficient generation of adaptive Cartesian mesh for computational fluid dynamics using GPU|
S Park, H Shin
International journal for numerical methods in fluids 70 (11), 1393-1404, 2012