J. Garrett

发表

Statistical model based iterative reconstruction (MBIR) in clinical CT systems. Part II. Experimental assessment of spatial resolution performance.

Guang-Hong Chen, Ke Li, J. Garrett, 2014, Medical physics.

Grating-based phase contrast tomosynthesis imaging: proof-of-concept experimental studies.

Guang-Hong Chen, J. Zambelli, Ke Li, 2013, Medical physics.

Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence

Guang-Hong Chen, Ran Zhang, Zhihua Qi, 2020, Radiology.

Reduced anatomical clutter in digital breast tomosynthesis with statistical iterative reconstruction.

Ke Li, Guang-Hong Chen, Yinsheng Li, 2018, Medical physics.

Anatomical background noise power spectrum in differential phase contrast and dark field contrast mammograms.

Ke Li, Guang-Hong Chen, Yongshuai Ge, 2014, Medical physics.

Time-resolved C-arm cone beam CT angiography (TR-CBCTA) imaging from a single short-scan C-arm cone beam CT acquisition with intra-arterial contrast injection

Ke Li, Guang-Hong Chen, Sebastian Schafer, 2018, Physics in medicine and biology.

Utility of Fully Automated Body Composition Measures on Pretreatment Abdominal CT for Predicting Survival in Patients With Colorectal Cancer.

P. Pickhardt, M. Lubner, J. Garrett, 2022, AJR. American journal of roentgenology.

A Generalizable Artificial Intelligence Model for COVID-19 Classification Task Using Chest X-ray Radiographs: Evaluated Over Four Clinical Datasets with 15,097 Patients

S. Reeder, Z. Qi, J. Garrett, 2022, 2210.02189.

Correlation between human observer performance and model observer performance in differential phase contrast CT.

Guang-Hong Chen, Ke Li, John Garrett, 2013, Medical physics.

Automated CT-Based Body Composition Analysis: A Golden Opportunity

Ronald M. Summers, P. Pickhardt, J. Garrett, 2021, Korean journal of radiology.

Quantitative lung perfusion blood volume (PBV) using dual energy CT (DECT)-based effective atomic number (Zeff ) imaging.

T. Grist, Guang-Hong Chen, Z. Qi, 2021, Medical physics.

Federated learning for predicting clinical outcomes in patients with COVID-19

Colin B. Compas, Mona G. Flores, Xihong Lin, 2021, Nature Medicine.

Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly.

Daniel C. Elton, R. Summers, P. Pickhardt, 2021, Radiology.

Fully-Automated Deep Learning Tool for Sarcopenia Assessment on CT: L1 Versus L3 Vertebral Level Muscle Measurements for Opportunistic Prediction of Adverse Clinical Outcomes.

R. Summers, P. Pickhardt, J. Garrett, 2021, AJR. American journal of roentgenology.

Reduction of beam hardening artifacts in cone-beam CT imaging via SMART-RECON algorithm

Guang-Hong Chen, Yinsheng Li, John Garrett, 2016, SPIE Medical Imaging.

Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Intracranial Hemorrhage.

John-Paul J. Yu, J. Garrett, A. F. Voter, 2021, Journal of the American College of Radiology : JACR.

Screening Digital Breast Tomosynthesis: Radiation Dose Among Patients With Breast Implants

Daryn S. Belden, J. Garrett, C. Longhurst, 2021, Journal of Breast Imaging.

Correction of data truncation artifacts in differential phase contrast (DPC) tomosynthesis imaging

Ke Li, Guang-Hong Chen, Yongshuai Ge, 2015, Physics in medicine and biology.

Diagnosis of COVID-19 Pneumonia Using Chest Radiography: Value of Artificial Intelligence

S. Reeder, Guang-Hong Chen, Z. Qi, 2020 .

An Enhanced SMART-RECON Algorithm for Time-Resolved C-Arm Cone-Beam CT Imaging

Guang-Hong Chen, Ke Li, Yinsheng Li, 2019, IEEE Transactions on Medical Imaging.

Gastrointestinal Endoscopic Ultrasound-Guided Fine-Needle Aspiration Biopsy Specimens: Adequate Diagnostic Yield and Accuracy Can Be Achieved without On-Site Evaluation

S. Kalloger, M. Byrne, J. Garrett, 2015, Acta Cytologica.

Grating based x-ray differential phase contrast imaging without mechanical phase stepping.

Ke Li, Guang-Hong Chen, Yongshuai Ge, 2014, Optics express.

Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Cervical Spine Fractures

J. Garrett, A. F. Voter, M. Larson, 2021, American Journal of Neuroradiology.

Modified ideal observer model (MIOM) for high‐contrast and high‐spatial resolution CT imaging tasks

Ke Li, Timothy Szczykutowicz, John Garrett, 2017, Medical physics.