World's Best Scientists 2026 revealed!
Joseph M. Reinhardt

Joseph M. Reinhardt

D-Index & Metrics

Computer Science

D-Index
45
Citations
9812
World Ranking
7127
National Ranking
3123

Overview

Joseph M. Reinhardt is affiliated with the University of Iowa in the United States and has a primary research focus in the field of Medicine, with a substantial number of publications in Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, and Physiology.

The scientist's recent papers cover a range of topics primarily related to lung imaging, respiratory diseases, and applications of machine learning in medical diagnostics. Notable recent publications include:

  • CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network, 2021, Scientific Reports
  • Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease, 2020, JCI Insight
  • Radiomics for Improved Detection of Chronic Obstructive Pulmonary Disease in Low-Dose and Standard-Dose Chest CT Scans, 2023, Radiology
  • Sex Differences in Airways at Chest CT: Results from the COPDGene Cohort, 2022, Radiology
  • Longitudinal Follow-Up of Participants With Tobacco Exposure and Preserved Spirometry, 2023, JAMA

The frequent co-authors collaborating with Joseph M. Reinhardt include Eric A. Hoffman, Sarah E. Gerard, Gary E. Christensen, Muhammad F. A. Chaudhary, and Surya P. Bhatt.

Research outputs by Reinhardt are often published in several prominent venues, with frequent publications in:

  • American Journal of Respiratory and Critical Care Medicine
  • arXiv (Cornell University)
  • Medical Physics
  • Radiology
  • Scientific Reports

The research spans multiple main topics, notably:

  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Lung Cancer Diagnosis and Treatment
  • Radiomics and Machine Learning in Medical Imaging
  • Respiratory Support and Mechanisms
  • Advanced Radiotherapy Techniques
  • COVID-19 diagnosis using AI
  • Ultrasound and Hyperthermia Applications

Joseph M. Reinhardt has contributed to book publications, including a title published by Frontiers Media in 2024, named Imaging and Functional Imaging of the Lung.

Best Publications

  • Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images

    S. Hu;E.A. Hoffman;J.M. Reinhardt

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • CT-based geometry analysis and finite element models of the human and ovine bronchial tree

    Merryn H Tawhai;Peter J Hunter;Juerg Tschirren;Joseph M Reinhardt

  • Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation.

    Joseph M. Reinhardt;Kai Ding;Kunlin Cao;Gary E. Christensen

  • Segmentation and analysis of the human airway tree from three-dimensional X-ray CT images

    D. Aykac;E.A. Hoffman;G. McLennan;J.M. Reinhardt

  • Automated early detection of diabetic retinopathy.

    Michael D. Abràmoff;Michael D. Abràmoff;Michael D. Abràmoff;Joseph M. Reinhardt;Stephen R. Russell;Stephen R. Russell;James C. Folk;James C. Folk

  • Extraction of Airways From CT (EXACT'09)

    Pechin Lo;Bram van Ginneken;Joseph M. Reinhardt;Tarunashree Yavarna

  • Atlas-driven lung lobe segmentation in volumetric X-ray CT images

    Li Zhang;E.A. Hoffman;J.M. Reinhardt

  • Accurate measurement of intrathoracic airways

    J.M. Reinhardt;N. D'Souza;E.A. Hoffman

  • Three-Dimensional Human Airway Segmentation Methods for Clinical Virtual Bronchoscopy☆

    Atilla P. Kiraly;William E. Higgins;William E. Higgins;Geoffrey McLennan;Eric A. Hoffman

  • Splat Feature Classification With Application to Retinal Hemorrhage Detection in Fundus Images

    Li Tang;M. Niemeijer;J. M. Reinhardt;M. K. Garvin

  • Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function.

    Eric A Hoffman;Joseph M Reinhardt;Milan Sonka;Brett A Simon

  • Establishing a normative atlas of the human lung: intersubject warping and registration of volumetric CT images.

    Baojun Li;Gary E. Christensen;Eric A. Hoffman;Geoffrey McLennan

  • Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer‐aided diagnosis (CAD) system

    Lina Arbash Meinel;Alan H. Stolpen;Kevin S. Berbaum;Laurie L. Fajardo

  • Anatomy-Guided Lung Lobe Segmentation in X-Ray CT Images

    S. Ukil;J.M. Reinhardt

  • Treatment planning methods, devices and systems

    Joseph Reinhardt;John Garber;Juerg Tschirren;Milan Sonka

  • Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach

    Xiayu Xu;M Niemeijer;Qi Song;M Sonka

  • 4DCT-based measurement of changes in pulmonary function following a course of radiation therapy

    Kai Ding;John E. Bayouth;John M. Buatti;Gary E. Christensen

  • Rapid prototype patient-specific drill template for cervical pedicle screw placement.

    Brent D Owen;Gary E Christensen;Joseph M Reinhardt;Timothy C Ryken

  • Reproducibility and validity of lung density measures from cardiac CT Scans--The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study.

    Eric A. Hoffman;Rui Jiang;Heather Baumhauer;Michael A. Brooks

Frequent Co-Authors

Gary E. Christensen
Gary E. Christensen University of Iowa
Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
William E. Higgins
William E. Higgins Pennsylvania State University
Milan Sonka
Milan Sonka University of Iowa
Meindert Niemeijer
Meindert Niemeijer Digital Diagnostics Inc.
Josien P. W. Pluim
Josien P. W. Pluim Eindhoven University of Technology
Ching-Long Lin
Ching-Long Lin University of Iowa
Joseph Zabner
Joseph Zabner University of Iowa
David A. Mackey
David A. Mackey University of Western Australia

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Choosing to study Computer Science online offers flexible paths tailored to your individual needs and goals. Students looking for affordable education can explore the cheapest online degrees, which provide budget-friendly options without compromising quality. For those concerned about past academic performance, there are also best colleges for low gpa that welcome students with various academic backgrounds.

Accelerated programs can help you earn your degree in less time. Many universities now offer a computer science accelerated program, designed to quickly prepare you for in-demand tech roles. Beyond Computer Science, if you’re curious about new interdisciplinary opportunities, you might want to explore what’s available in related fields like Environmental Science. Discover what jobs can you get with an environmental science degree to further expand your career prospects.

Whether you need flexibility, acceleration, or a fresh start, these online pathways can help you reach your academic and professional goals.

Best Scientists Citing Joseph M. Reinhardt

Trending Scientists

Recently Published Articles