Brian J. Bartholmai

发表

Computer-Aided Detection and Diagnosis at the Start of the Third Millennium

Bradley James Erickson, Brian J. Bartholmai, B. Erickson, 2002, Journal of Digital Imaging.

Automated segmentation of the lungs from high resolution CT images for quantitative study of chronic obstructive pulmonary diseases

Richard A. Robb, Jon J. Camp, Brian J. Bartholmai, 2005, SPIE Medical Imaging.

Reviews in Radiology Informatics: Establishing a Core Informatics Curriculum

David S. Channin, Brian J. Bartholmai, Barton F. Branstetter, 2004, Journal of Digital Imaging.

ROC Study of Four LCD Displays Under Typical Medical Center Lighting Conditions

Alan Bishop, Brian J. Bartholmai, Kenneth A. Fetterly, 2005, Journal of Digital Imaging.

Sensitivity of Thoracic Digital Tomosynthesis (DTS) for the Identification of Lung Nodules

James M. Kofler, Brian J. Bartholmai, Beth A. Schueler, 2015, Journal of Digital Imaging.

Syntactic and semantic errors in radiology reports associated with speech recognition software

Brian J. Bartholmai, Michael D. Ringler, Brian C. Goss, 2017, Health Informatics J..

Detail-on-Demand Visualization for Lean Understanding of Lung Abnormalities

Richard A. Robb, Brian J. Bartholmai, Srinivasan Rajagopalan, 2012, MMVR.

Imaging Informatics: Challenges in Multi-site Imaging Trials

Brian J. Bartholmai, Steve G. Langer, 2010, Journal of Digital Imaging.

Automating the expert consensus paradigm for robust lung tissue classification

Richard A. Robb, Brian J. Bartholmai, Srinivasan Rajagopalan, 2012, Medical Imaging.

Supine to upright lung mechanics: Do changes in lung shape influence lung tissue deformation?

Alys R. Clark, Merryn H. Tawhai, Brian J. Bartholmai, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics

Mustafa Y. Sir, Kalyan S. Pasupathy, Brian J. Bartholmai, 2018, AMIA.

Quantitative consensus of supervised learners for diffuse lung parenchymal HRCT patterns

Richard A. Robb, Brian J. Bartholmai, Srinivasan Rajagopalan, 2013, Medical Imaging.

SCAR R&D Symposium 2003: Comparing the Efficacy of 5-MP CRT Versus 3-MP LCD in the Evaluation of Interstitial Lung Disease

Katherine P. Andriole, John A. Carrino, Bradley James Erickson, 2004, Journal of Digital Imaging.

Syntactic and Semantic Errors in Radiology Reports Associated With Speech Recognition Software

Brian J. Bartholmai, Michael D. Ringler, Brian C. Goss, 2015, MedInfo.

Nonlinear histogram binning for quantitative analysis of lung tissue fibrosis in high-resolution CT data

Richard A. Robb, Brian J. Bartholmai, Vanessa A. Zavaletta, 2007, SPIE Medical Imaging.

Referenceless Stratification of Parenchymal Lung Abnormalities

Richard A. Robb, Brian J. Bartholmai, Srinivasan Rajagopalan, 2011, MICCAI.

Quantitative image analytics for stratified pulmonary medicine

Richard A. Robb, Brian J. Bartholmai, Srinivasan Rajagopalan, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Effect of Automated Image Registration on Radiologist Interpretation

Liqin Wang, Katherine P. Andriole, Bradley James Erickson, 2007, Journal of Digital Imaging.

Parametric modeling for quantitative analysis of pulmonary structure to function relationships

Richard A. Robb, Clifton R. Haider, Jon J. Camp, 2005, SPIE Medical Imaging.

Active relearning for robust supervised classification of pulmonary emphysema

Richard A. Robb, Brian J. Bartholmai, Srinivasan Rajagopalan, 2012, Medical Imaging.

3D MORPHOLOGICAL ANALYSIS OF LUNG PATHOLOGY

Richard A. Robb, Brian J. Bartholmai, Vanessa A. Zavaletta, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Optimizing non-local means for denoising low dose CT

Bradley James Erickson, Brian J. Bartholmai, Daniel J. Blezek, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Active Relearning for Robust Supervised Training of Emphysema Patterns

Richard A. Robb, Brian J. Bartholmai, Srinivasan Rajagopalan, 2014, Journal of Digital Imaging.

Effect of denoising on supervised lung parenchymal clusters

Richard A. Robb, Brian J. Bartholmai, Srinivasan Rajagopalan, 2012, Medical Imaging.

Landscaping the effect of CT reconstruction parameters: Robust Interstitial Pulmonary Fibrosis quantitation

Richard A. Robb, Brian J. Bartholmai, Ronald A. Karwoski, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease pdf

Yipeng Hu, Brian J. Bartholmai, Wing Keung Cheung, 2021, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Correlation of Regional Emphysema and Lung Cancer: A Lung Tissue Research Consortium-Based Study

Brian J. Bartholmai, Darrell R. Schroeder, Ola Larsson, 2014, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Automated Quantitative Computed Tomography Versus Visual Computed Tomography Scoring in Idiopathic Pulmonary Fibrosis: Validation Against Pulmonary Function

Joseph Jacob, Brian J. Bartholmai, Srinivasan Rajagopalan, 2016, Journal of thoracic imaging.

Computer-Aided Nodule Assessment and Risk Yield (CANARY) may facilitate non-invasive prediction of EGFR mutation status in lung adenocarcinomas

Brian J. Bartholmai, Srinivasan Rajagopalan, Fabien Maldonado, 2017, Scientific Reports.

Quantitative Computed Tomography Imaging of Interstitial Lung Diseases

Richard A. Robb, Brian J. Bartholmai, Paul A. Decker, 2013, Journal of thoracic imaging.

Noninvasive Computed Tomography-based Risk Stratification of Lung Adenocarcinomas in the National Lung Screening Trial.

Richard A. Robb, Brian J. Bartholmai, Fenghai Duan, 2015, American journal of respiratory and critical care medicine.

High-Resolution Chest Computed Tomography Imaging of the Lungs: Impact of 1024 Matrix Reconstruction and Photon-Counting Detector Computed Tomography

Chi Wan Koo, Shuai Leng, Brian J. Bartholmai, 2019, Investigative radiology.

Noninvasive Risk Stratification of Lung Adenocarcinoma using Quantitative Computed Tomography

Richard A. Robb, Brian J. Bartholmai, Srinivasan Rajagopalan, 2014, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.