Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors. - Adam M. Alessio; Paul E. Kinahan; Thomas K. Lewellen (Image Processing, 2005)

Compensating for patient respiration in PET/CT imaging with the registered and summed phases (RASP) procedure. - Paul E. Kinahan; Lawrence R. MacDonald; Lydia Ng; Adam M. Alessio; William Paul Segars; Benjamin M. W. Tsui; Sayan D. Pathak (ISBI, 2006)

Automatic arm removal in PET and CT images for deformable registration. - Lixin Gong; Sayan D. Pathak; Adam M. Alessio; Paul E. Kinahan (Comput. Medical Imaging Graph., 2006)

Modeling and Incorporation of System Response Functions in 3-D Whole Body PET. - Adam M. Alessio; Paul E. Kinahan; Thomas K. Lewellen (IEEE Trans. Medical Imaging, 2006)

Application of a spatially variant system model for 3-D whole-body pet image reconstruction. - Adam M. Alessio; Paul E. Kinahan (ISBI, 2008)

Impulse C vs. VHDL for Accelerating Tomographic Reconstruction. - Jimmy Xu; Nikhil Subramanian; Adam M. Alessio; Scott Hauck (FCCM, 2010)

Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction. - Adam M. Alessio; Charles W. Stearns; Shan Tong; Steven G. Ross; Steve Kohlmyer; Alex Ganin; Paul E. Kinahan (IEEE Trans. Medical Imaging, 2010)

Constrain static target kinetic iterative image reconstruction for 4D cardiac CT imaging. - Adam M. Alessio; Patrick J. La Rivière (Computational Imaging, 2011)

Adaptive temporal smoothing of sinogram data using Karhunen-Loeve (KL) transform for myocardial blood flow estimation from dose-reduced dynamic CT. - Dimple Modgil; Adam M. Alessio; Michael D. Bindschadler; Patrick J. La Rivière (Image Processing, 2014)

Adaptive sampling of CT data for myocardial blood flow estimation from dose-reduced dynamic CT. - Dimple Modgil; Michael D. Bindschadler; Adam M. Alessio; Patrick J. La Rivière (Image Processing, 2015)

Automated selection of uniform regions for CT image quality detection. - Maitham D. Naeemi; Adam M. Alessio; Sohini Roychowdhury (ACSSC, 2016)

Application of big data analytics for automated estimation of CT image quality. - Maitham D. Naeemi; Johnny Ren; Nathan Hollcroft; Adam M. Alessio; Sohini Roychowdhury (IEEE BigData, 2016)

Blind Analysis of CT Image Noise Using Residual Denoised Images. - Sohini Roychowdhury; Nathan Hollraft; Adam M. Alessio (CoRR, 2016)

Mixed Confidence Estimation for Iterative CT Reconstruction. - David S. Perlmutter; Soo Mee Kim; Paul E. Kinahan; Adam M. Alessio (IEEE Trans. Medical Imaging, 2016)

Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction. - Lin Fu; Tzu-Cheng Lee; Soo Mee Kim; Adam M. Alessio; Paul E. Kinahan; Zhiqian Chang; Ken D. Sauer; Mannudeep K. Kalra; Bruno De Man (IEEE Trans. Medical Imaging, 2017)

Comparison of machine learned approaches for thyroid nodule characterization from shear wave elastography images. - Carina Pereira; Manjiri Dighe; Adam M. Alessio (Computer-Aided Diagnosis, 2018)

PET/CT-guided biopsy with respiratory motion correction. - Ruoqiao Zhang; Dzenan Zukic; Darrin W. Byrd; Andinet Enquobahrie; Adam M. Alessio; Kevin Cleary; Filip Banovac; Paul E. Kinahan (Int. J. Comput. Assist. Radiol. Surg., 2019)

Genetic algorithm for machine learning architecture selection for breast MRI classification. - Peter S. Carras; Carina Pereira; Debosmita Biswas; Christoph I. Lee; Savannah C. Partridge; Adam M. Alessio (Computer-Aided Diagnosis, 2020)

Hyperparameter selection for ResNet classification of malignancy from thyroid ultrasound images. - Joseph Cox; Sydney Rubin; Joe Adams; Carina Pereira; Manjiri Dighe; Adam M. Alessio (Computer-Aided Diagnosis, 2020)

Deep learning methods for segmentation of lines in pediatric chest radiographs. - Ryan Sullivan; Gregory Holste; Jonathan Burkow; Adam M. Alessio (Computer-Aided Diagnosis, 2020)

Multi-class semantic segmentation of pediatric chest radiographs. - Gregory Holste; Ryan Sullivan; Michael D. Bindschadler; Nicholas Nagy; Adam M. Alessio (Image Processing, 2020)

End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI. - Gregory Holste; Savannah C. Partridge; Habib Rahbar; Debosmita Biswas; Christoph I. Lee; Adam M. Alessio (ICCVW, 2021)

Machine learned versus analytical models for estimation of fractional flow reserve from CT-derived information. - Muneeza Azmat; Ethan Tu; Kelley R. Branch; Adam M. Alessio (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Machine learned approach for estimating myocardial blood flow from dynamic CT and coronary artery disease risk factors. - Ethan Tu; Muneeza Azmat; Kelley Branch; Adam M. Alessio (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept. - Mohamed Abouhawwash; Adam M. Alessio (IEEE Trans. Medical Imaging, 2021)

Avalanche decision schemes to improve pediatric rib fracture detection. - Jonathan Burkow; Gregory Holste; Jeffrey Otjen; Francisco Perez; Joseph Junewick; Adam M. Alessio (Computer-Aided Diagnosis, 2022)

A Dataless Reinforcement Learning Approach to Rounding Hyperplane Optimization for Max-Cut. - Gabriel Malikal; Ismail Alkhouri; Alvaro Velasquez; Adam M. Alessio; Saiprasad Ravishankar (CoRR, 2025)

Deep Rib Fracture Instance Segmentation and Classification From CT on the RibFrac Challenge. - Jiancheng Yang; Rui Shi; Liang Jin; Xiaoyang Huang; Kaiming Kuang; Donglai Wei 001; Shixuan Gu; Jianying Liu; Pengfei Liu; Zhizhong Chai; Yongjie Xiao; Hao Chen 011; et al. (IEEE Trans. Medical Imaging, 2025)