Reliability of PET/CT shape and heterogeneity features in functional and morphological components of Non-Small Cell Lung Cancer tumors: a repeatability analysis in a prospective multi-center cohort. - Marie-Charlotte Desseroit; Florent Tixier; Wolfgang Weber; Barry A. Siegel; Catherine Cheze Le Rest; Dimitris Visvikis; Mathieu Hatt (CoRR, 2016)

An estimation-based method to segment PET images. - Ziping Liu; Richard Laforest; Joyce C. Mhlanga; Hae Sol Moon; Tyler J. Fraum; Malak Itani; Aaron M. Mintz; Farrokh Dehdashti; Barry A. Siegel; Abhinav K. Jha (CoRR, 2020)

Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images. - Ziping Liu; Richard Laforest; Joyce C. Mhlanga; Tyler J. Fraum; Malak Itani; Farrokh Dehdashti; Barry A. Siegel; Abhinav K. Jha (Image Perception, Observer Performance, and Technology Assessment, 2021)

No-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise. - Ziping Liu; Zekun Li 012; Joyce C. Mhlanga; Barry A. Siegel; Abhinav K. Jha (Image Perception, Observer Performance, and Technology Assessment, 2022)

rPOP: Robust PET-only processing of community acquired heterogeneous amyloid-PET data. - Leonardo Iaccarino; Renaud La Joie; Robert A. Koeppe; Barry A. Siegel; Bruce E. Hillner; Constantine Gatsonis; Rachel A. Whitmer; Maria C. Carrillo; Charles Apgar; Monica R. Camacho; Rachel Nosheny; Gil D. Rabinovici (NeuroImage, 2022)

Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET. - Ziping Liu; Joyce C. Mhlanga; Barry A. Siegel; Abhinav K. Jha (Image Perception, Observer Performance, and Technology Assessment, 2023)

A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT. - Md. Ashequr Rahman; Zitong Yu; Barry A. Siegel; Abhinav K. Jha (Image Perception, Observer Performance, and Technology Assessment, 2023)

Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT. - Zitong Yu; Md. Ashequr Rahman; Richard Laforest; Thomas H. Schindler; Robert J. Gropler; Richard L. Wahl; Barry A. Siegel; Abhinav K. Jha (CoRR, 2023)

DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT. - Md. Ashequr Rahman; Zitong Yu; Richard Laforest; Craig K. Abbey; Barry A. Siegel; Abhinav K. Jha (CoRR, 2023)

CTLESS: A Scatter-Window Projection and Deep Learning-Based Transmission-Less Attenuation Compensation Method for Myocardial Perfusion SPECT. - Zitong Yu; Md. Ashequr Rahman; Craig K. Abbey; Richard Laforest; Nancy A. Obuchowski; Barry A. Siegel; Abhinav K. Jha (IEEE Trans. Medical Imaging, 2025)

Emerging Frameworks for Objective Task-based Evaluation of Quantitative Medical Imaging Methods. - Yan Liu; Huitian Xia; Nancy A. Obuchowski; Richard Laforest; Arman Rahmim; Barry A. Siegel; Abhinav K. Jha (CoRR, 2025)