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 (ISBI, 2014)

A Dynamic Attenuator Improves Spectral Imaging With Energy-Discriminating, Photon Counting Detectors. - Scott S. Hsieh; Norbert J. Pelc (IEEE Trans. Medical Imaging, 2015)

Upper-Bound on Dose Reduction in CT Reconstruction for Nodule Detection. - Ruben De Man; Ge Wang 001; Mannudeep K. Kalra; Alexi Otrakji; Scott S. Hsieh; Norbert J. Pelc (IEEE Access, 2016)

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)

Coincidence Counters for Charge Sharing Compensation in Spectroscopic Photon Counting Detectors. - Scott S. Hsieh (IEEE Trans. Medical Imaging, 2020)

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 003; Scott S. Hsieh; Shuai Leng; Lifeng Yu; Cynthia H. McCollough (Image Processing, 2021)

Improving Paralysis Compensation in Photon Counting Detectors. - Scott S. Hsieh; Kris Iniewski (IEEE Trans. Medical Imaging, 2021)

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 (Image Perception, Observer Performance, and Technology Assessment, 2022)

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 003; Joel G. Fletcher; Cynthia H. McCollough; Shuai Leng (Computer-Aided Diagnosis, 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 003; Parvathy Sudhir Pillai; Andrew J. Vercnocke; Matthew P. Johnson; Shuai Leng; Lifeng Yu; David R. Holmes III; et al. (Image Perception, Observer Performance, and Technology Assessment, 2023)

Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023). - Wonkyeong Lee; Fabian Wagner; Andreas Maier 001; Adam S. Wang; Jongduk Baek; Scott S. Hsieh; Jang-Hwan Choi 001 (Zenodo, 2023)

Low-dose computed tomography perceptual image quality assessment. - Wonkyeong Lee; Fabian Wagner; Adrian Galdran; Yongyi Shi; Wenjun Xia; Ge Wang 001; Xuanqin Mou; Md. Atik Ahamed; Abdullah-Al-Zubaer Imran; Ji Eun Oh; Kyungsang Kim; Jong Tak Baek; et al. (Medical Image Anal., 2025)