World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
66
Citations
24163
World Ranking
1373
National Ranking
454

Research.com Recognitions

  • 2011 - IEEE Fellow For contributions to positron emission tomography

Overview

Paul E. Kinahan is affiliated with the University of Washington in the United States and has contributed extensively to the field of Medicine, with a primary focus on Radiology, Nuclear Medicine, and Imaging. Their research spans a variety of subfields including Biomedical Engineering, Pulmonary and Respiratory Medicine, Oncology, and Artificial Intelligence.

The scientist's work addresses several main topics, notably Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, Lung Cancer Diagnosis and Treatment, Lung Cancer Treatments and Mutations, Advanced MRI Techniques and Applications, and Cancer Immunotherapy and Biomarkers.

Among the recent papers authored or co-authored by Kinahan are:

  • Virtual clinical trials in medical imaging: a review (2020) published in the Journal of Medical Imaging
  • Criteria for the translation of radiomics into clinically useful tests (2022) published in Nature Reviews Clinical Oncology
  • Joint EANM/SNMMI guideline on radiomics in nuclear medicine (2022) published in European Journal of Nuclear Medicine and Molecular Imaging
  • The QIBA Profile for FDG PET/CT as an Imaging Biomarker Measuring Response to Cancer Therapy (2020) published in Radiology
  • Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets (2020) published in Tomography

The scientist has collaborated frequently with several coauthors, including:

  • Daniel S. Hippe
  • Peder E. Z. Larson
  • John J. Sunderland
  • Mark Muzi
  • Stephen R. Bowen

Kinahan's research has been published predominantly in several key venues, reflecting a focus on physics and oncology within medical imaging. These venues include:

  • Medical Physics
  • Tomography
  • Cancer Research
  • Research Square (Research Square)
  • International Journal of Radiation Oncology*Biology*Physics

Among recognized achievements, Paul E. Kinahan was awarded the IEEE Fellow distinction in 2011 for contributions to positron emission tomography.

Best Publications

  • Radiomics: Images Are More than Pictures, They Are Data.

    Robert J. Gillies;Paul E. Kinahan;Hedvig Hricak

  • Attenuation correction for a combined 3D PET/CT scanner

    P. E. Kinahan;D. W. Townsend;T. Beyer;D. Sashin

  • Exact and approximate rebinning algorithms for 3-D PET data

    M. Defrise;P.E. Kinahan;D.W. Townsend;C. Michel

  • Analytic 3D image reconstruction using all detected events

    P.E. Kinahan;J.G. Rogers

  • Positron Emission Tomography: Current Challenges and Opportunities for Technological Advances in Clinical and Preclinical Imaging Systems

    Juan José Vaquero;Paul Kinahan

  • Comparative evaluation of MR-based partial-volume correction schemes for PET.

    Carolyn Cidis Meltzer;Paul E. Kinahan;Phil J. Greer;Thomas E. Nichols

  • Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction

    A.M. Alessio;C.W. Stearns;Shan Tong;S.G. Ross

  • Fast reconstruction of 3-D PET data with accurate statistical modeling

    C. Comtat;P.E. Kinahan;M. Defrise;C. Michel

  • Image analysis in patients with cancer studied with a combined PET and CT scanner.

    Martin Charron;Thomas Beyer;Thomas Beyer;Nicholas N. Bohnen;Paul E. Kinahan

  • Noise and signal properties in PSF-based fully 3D PET image reconstruction: an experimental evaluation

    S Tong;A M Alessio;P E Kinahan

  • Modeling and incorporation of system response functions in 3-D whole body PET

    A.M. Alessio;P.E. Kinahan;T.K. Lewellen

  • Virtual clinical trials in medical imaging: a review

    Ehsan Abadi;William P. Segars;Benjamin M. W. Tsui;Paul E. Kinahan

  • Clinically feasible reconstruction of 3D whole-body PET/CT data using blurred anatomical labels.

    Claude Comtat;Paul E Kinahan;Paul E Kinahan;Jeffrey A Fessler;Thomas Beyer

  • Image reconstruction for PET/CT scanners: past achievements and future challenges

    Shan Tong;Adam M Alessio;Paul E Kinahan

  • Correction Methods for Random Coincidences in Fully 3D Whole-Body PET: Impact on Data and Image Quality

    David Brasse;Paul E Kinahan;Carole Lartizien;Claude Comtat

  • Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons

    Nancy A Obuchowski;Anthony P Reeves;Erich P Huang;Xiao-Feng Wang

  • The positron emission mammography/tomography breast imaging and biopsy system (PEM/PET): design, construction and phantom-based measurements.

    Unknown

  • Variations of Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Evaluation of Breast Cancer Therapy Response: A Multicenter Data Analysis Challenge

    Wei Huang;Xin Li;Yiyi Chen;Xia Li

  • Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards.

    Matthew J. Nyflot;Fei Yang;Darrin Byrd;Stephen R. Bowen

  • Evaluation of task-oriented performance of several fully 3D PET reconstruction algorithms

    S Matej;G T Herman;T K Narayan;S S Furuie

  • Comparison of 3-D reconstruction with 3D-OSEM and with FORE+OSEM for PET

    Xuan Liu;C. Comtat;C. Michel;P. Kinahan

  • Quantitative assessment of dynamic PET imaging data in cancer imaging

    Mark Muzi;Finbarr O'Sullivan;David A. Mankoff;Robert K. Doot

  • Performance evaluation of the 5-Ring GE Discovery MI PET/CT system using the national electrical manufacturers association NU 2-2012 Standard.

    Tinsu Pan;Samuel A. Einstein;Srinivas Cheenu Kappadath;Kira S. Grogg

  • Preserving Poisson characteristics of PET data with weighted OSEM reconstruction

    C. Michel;M. Sibomana;A. Boi;X. Bernard

  • A methodology for testing for statistically significant differences between fully 3D PET reconstruction algorithms.

    S S Furuie;G T Herman;T K Narayan;P E Kinahan

  • Model-based iterative reconstruction versus adaptive statistical iterative reconstruction and filtered back projection in liver 64-MDCT: focal lesion detection, lesion conspicuity, and image noise.

    William P. Shuman;Doug E. Green;Janet M. Busey;Orpheus Kolokythas

  • Three-Dimensional Imaging Characteristics of the HEAD PENN-PET Scanner

    Joel S. Karp;Richard Freifelder;Michael J. Geagan;Gerd Muehllehner

  • Dual energy CT attenuation correction methods for quantitative assessment of response to cancer therapy with PET/CT imaging

    Paul E. Kinahan;Adam M. Alessio;Jeffrey A. Fessler

  • Figures of merit for comparing reconstruction algorithms with a volume-imaging PET scanner.

    P E Kinahan;J S Karp

Frequent Co-Authors

David A. Mankoff
David A. Mankoff University of Pennsylvania
Joel S. Karp
Joel S. Karp University of Pennsylvania
Michel Defrise
Michel Defrise Vrije Universiteit Brussel
Jeffrey A. Fessler
Jeffrey A. Fessler University of Michigan–Ann Arbor
Kenneth A. Krohn
Kenneth A. Krohn Oregon Health & Science University
Richard L. Wahl
Richard L. Wahl Washington University in St. Louis
Paul D. Lampe
Paul D. Lampe Fred Hutchinson Cancer Research Center
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University
Ronald Boellaard
Ronald Boellaard Amsterdam UMC
John M. Buatti
John M. Buatti University of Iowa

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