Scott S. Hsieh

According to our database, Scott S. Hsieh authored at least 12 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Low-dose computed tomography perceptual image quality assessment.

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 Wang, Garry Evan Gold, Jang-Hwan Choi

Medical Image Anal., 2025

2023

Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023).

Wonkyeong Lee, Fabian Wagner, Andreas Maier, Adam S. Wang, Jongduk Baek, Scott S. Hsieh, Jang-Hwan Choi

Dataset, April, 2023

A training program to reduce reader search errors for liver metastasis detection in CT.

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

Proceedings of the Medical Imaging 2023: Image Perception, 2023

Classification of high-risk coronary plaques using radiomic analysis of multi-energy photon-counting-detector computed tomography (PCD-CT) images.

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

Individualized and generalized learner models for predicting missed hepatic metastases.

Parvathy Sudhir Pillai, Scott S. Hsieh, David R. Holmes III, Rickey E. Carter, Joel G. Fletcher, Cynthia H. McCollough

Proceedings of the Medical Imaging 2022: Image Perception, 2022

2021

Improving Paralysis Compensation in Photon Counting Detectors.

Scott S. Hsieh, Kris Iniewski

IEEE Trans. Medical Imaging, 2021

Random search as a neural network optimization strategy for Convolutional-Neural-Network (CNN)-based noise reduction in CT.

Nathan R. Huber, Andrew D. Missert, Hao Gong, Scott S. Hsieh, Shuai Leng, Lifeng Yu, Cynthia H. McCollough

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020

Coincidence Counters for Charge Sharing Compensation in Spectroscopic Photon Counting Detectors.

Scott S. Hsieh

IEEE Trans. Medical Imaging, 2020

2018

Effect of Spectral Degradation and Spatio-Energy Correlation in X-Ray PCD for Imaging.

Paurakh L. Rajbhandary, Scott S. Hsieh, Norbert J. Pelc

IEEE Trans. Medical Imaging, 2018

2016

Upper-Bound on Dose Reduction in CT Reconstruction for Nodule Detection.

Ruben De Man, Ge Wang, Mannudeep K. Kalra, Alexi Otrakji, Scott S. Hsieh, Norbert J. Pelc

IEEE Access, 2016

2015

A Dynamic Attenuator Improves Spectral Imaging With Energy-Discriminating, Photon Counting Detectors.

Scott S. Hsieh, Norbert J. Pelc

IEEE Trans. Medical Imaging, 2015

2014

Utilization of in-depth photon counting detectors towards x-ray spectral imaging: The benefits from the depth information.

Yuan Yao, Hans Bornefalk, Scott S. Hsieh, Mats Danielsson, Norbert J. Pelc

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014