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ORCIDScott S. Hsieh
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2020 – today
- 2025
[j6]Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed
, Abdullah Al Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam S. Wang, Garry Evan Gold, Jang-Hwan Choi:
Low-dose computed tomography perceptual image quality assessment. Medical Image Anal. 99: 103343 (2025)- 2023
- [c5]Chelsea A. S. Dunning, Prabhakar Shantha Rajiah, Scott S. Hsieh, Andrea Esquivel, Mariana Yalon, Nikkole M. Weber, Hao Gong, Joel G. Fletcher, Cynthia H. McCollough, Shuai Leng:
Classification of high-risk coronary plaques using radiomic analysis of multi-energy photon-counting-detector computed tomography (PCD-CT) images. Computer-Aided Diagnosis 2023 - [c4]Scott S. Hsieh, Akitoshi Inoue, Mariana Yalon, David A. Cook, Jeff L. Fidler, Hao Gong, Parvathy Sudhir Pillai, Andrew J. Vercnocke, Matthew P. Johnson, Shuai Leng, Lifeng Yu, David R. Holmes III, Rickey E. Carter, Cynthia H. McCollough, Joel G. Fletcher:
A training program to reduce reader search errors for liver metastasis detection in CT. Image Perception, Observer Performance, and Technology Assessment 2023 - [d1]Wonkyeong Lee, Fabian Wagner, Andreas Maier, Adam S. Wang, Jongduk Baek, Scott S. Hsieh, Jang-Hwan Choi:
Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023). Zenodo, 2023
- 2022
- [c3]Parvathy Sudhir Pillai, Scott S. Hsieh, David R. Holmes III, Rickey E. Carter, Joel G. Fletcher, Cynthia H. McCollough:
Individualized and generalized learner models for predicting missed hepatic metastases. Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [j5]Scott S. Hsieh, Kris Iniewski:
Improving Paralysis Compensation in Photon Counting Detectors. IEEE Trans. Medical Imaging 40(1): 3-11 (2021) - [c2]Nathan R. Huber, Andrew D. Missert, Hao Gong, Scott S. Hsieh, Shuai Leng, Lifeng Yu, Cynthia H. McCollough:
Random search as a neural network optimization strategy for Convolutional-Neural-Network (CNN)-based noise reduction in CT. Image Processing 2021 - 2020
- [j4]Scott S. Hsieh:
Coincidence Counters for Charge Sharing Compensation in Spectroscopic Photon Counting Detectors. IEEE Trans. Medical Imaging 39(3): 678-687 (2020)
2010 – 2019
- 2018
- [j3]Paurakh L. Rajbhandary, Scott S. Hsieh, Norbert J. Pelc:
Effect of Spectral Degradation and Spatio-Energy Correlation in X-Ray PCD for Imaging. IEEE Trans. Medical Imaging 37(8): 1910-1919 (2018) - 2016
- [j2]Ruben De Man, Ge Wang, Mannudeep K. Kalra, Alexi Otrakji, Scott S. Hsieh, Norbert J. Pelc:
Upper-Bound on Dose Reduction in CT Reconstruction for Nodule Detection. IEEE Access 4: 4247-4253 (2016) - 2015
- [j1]Scott S. Hsieh, Norbert J. Pelc:
A Dynamic Attenuator Improves Spectral Imaging With Energy-Discriminating, Photon Counting Detectors. IEEE Trans. Medical Imaging 34(3): 729-739 (2015) - 2014
- [c1]Yuan Yao, Hans Bornefalk, Scott S. Hsieh, Mats Danielsson, Norbert J. Pelc:
Utilization of in-depth photon counting detectors towards x-ray spectral imaging: The benefits from the depth information. ISBI 2014: 1156-1159
Coauthor Index
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