Dual energy CT: How to best blend both energies in one fused image? - Christian Dieter Eusemann; David R. Holmes 001; Bernhard Schmidt; Thomas G. Flohr; Richard A. Robb; Cynthia H. McCollough; David M. Hough; James E. Huprich; Michael Wittmer; Hasan Siddiki; Joel G. Fletcher (Image-Guided Procedures, 2008)

Evaluating optimal CNR as a preset criteria for nonlinear moidal blending of dual energy CT data. - David R. Holmes III; A. Apel; Joel G. Fletcher; L. S. Guimaraes; C. E. Eusemann; Richard A. Robb (Image-Guided Procedures, 2009)

Computer-Assisted Diagnosis for Quantitative Image-Based Analysis of Crohn's Disease in CT Enterography. - Janne Näppi; June-Goo Lee; Joel G. Fletcher; Hiroyuki Yoshida (Virtual Colonoscopy and Abdominal Imaging, 2010)

Automated Detection and Diagnosis of Crohn's Disease in CT Enterography. - Janne Näppi; Dushyant Sahani; Joel G. Fletcher; Hiroyuki Yoshida (Abdominal Imaging, 2011)

Computer-Aided Polyp Detection for Laxative-Free CT Colonography. - Neil Panjwani; Marius George Linguraru; Joel G. Fletcher; Ronald M. Summers (Abdominal Imaging, 2011)

Correlation between a deep-learning-based model observer and human observer for a realistic lung nodule localization task in chest CT. - Hao Gong 003; Andrew Walther; Qiyuan Hu; Chi Wan Koo; Edwin A. Takahashi; David L. Levin; Tucker F. Johnson; Megan J. Hora; Shuai Leng; Joel G. Fletcher; Cynthia H. McCollough; Lifeng Yu (Image Perception, Observer Performance, and Technology Assessment, 2019)

Impact of improved spatial resolution on radiomic features using photon-counting-detector CT. - Chelsea A. S. Dunning; Kishore Rajendran; Joel G. Fletcher; Cynthia H. McCollough; Shuai Leng (Image Processing, 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 (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)