C. W. Koo

发表

Lung Adenocarcinoma: Correlation of Quantitative CT Findings with Pathologic Findings.

H. Rusinek, H. Pass, D. Naidich, 2016, Radiology.

Breathe New Life Into Your Chest CT Exams: Using Advanced Acquisition and Postprocessing Techniques.

C. McCollough, Lifeng Yu, J. Fletcher, 2019, Current problems in diagnostic radiology.

Advanced imaging tools in pulmonary nodule detection and surveillance.

C. W. Koo, 2016, Clinical imaging.

Cost-effectiveness and patient tolerance of low-attenuation oral contrast material: milk versus VoLumen.

C. W. Koo, Lisa R. Shah-Patel, J. Baer, 2008, AJR. American journal of roentgenology.

Prospective machine learning CT quantitative evaluation of idiopathic pulmonary fibrosis in patients undergoing anti-fibrotic treatment using low- and ultra-low-dose CT.

N. Larson, B. Bartholmai, C. W. Koo, 2021, Clinical radiology.

Prospective Pilot Evaluation of Radiologists and Computer-aided Pulmonary Nodule Detection on Ultra–low-Dose CT With Tin Filtration

Rebecca M. Lindell, C. McCollough, R. Kuzo, 2018, Journal of thoracic imaging.

Spectrum of pulmonary neuroendocrine cell proliferation: diffuse idiopathic pulmonary neuroendocrine cell hyperplasia, tumorlet, and carcinoids.

D. Torigian, W. Gefter, L. Litzky, 2010, AJR. American journal of roentgenology.

Combined pulmonary fibrosis and emphysema as a clinicoradiologic entity: Characterization of presenting lung fibrosis and implications for survival.

D. Levin, B. Bartholmai, C. W. Koo, 2019, Respiratory medicine.

Implications of the updated Lung CT Screening Reporting and Data System (Lung-RADS version 1.1) for lung cancer screening

B. Bartholmai, C. W. Koo, Spencer C. Dyer, 2020, Journal of thoracic disease.

Incidental detection of clinically occult pituitary adenoma on whole-body FDG PET imaging.

N. Kagetsu, C. W. Koo, M. Ghesani, 2006, Clinical nuclear medicine.

Improved efficiency of CT interpretation using an automated lung nodule matching program.

Chi Wan Koo, Luca Bogoni, James S Babb, 2012, AJR. American journal of roentgenology.

Quantitative CT and machine learning classification of fibrotic interstitial lung diseases

R. Karwoski, C. W. Koo, T. Moua, 2022, European Radiology.

Geometry-dependent phosphodiester hydrolysis catalyzed by binuclear copper complexes.

Lei Zhu, C. W. Koo, J. Canary, 2003, Inorganic chemistry.

Evaluation of Patient Tolerance and Small-Bowel Distention With a New Small-Bowel Distending Agent for Enterography.

J. Fletcher, W. Harmsen, J. Fidler, 2016, AJR. American journal of roentgenology.

A tale of two sisters: biomass fuel exposure-related lung disease.

A. Haas, N. Gupta, C. W. Koo, 2011, Clinical radiology.

Use of diffusion-weighted magnetic resonance imaging (DW-MRI) to predict early response to anti-tumor therapy in advanced non-small cell lung cancer (NSCLC): a comparison of intravoxel incoherent motion-derived parameters and apparent diffusion coefficient

C. W. Koo, Ting Xue, K. Okuda, 2021, Translational lung cancer research.

The current status and future of FDA-approved artificial intelligence tools in chest radiology in the United States.

C. W. Koo, M. Milam, 2022, Clinical radiology.

Congenital Absence of the Right Pericardium: Embryology and Imaging

C. W. Koo, A. Newburg, 2015, Journal of clinical imaging science.

The breadth of the diaphragm: updates in embryogenesis and role of imaging.

Tucker F. Johnson, R. Kuzo, D. Gierada, 2018, The British journal of radiology.

Novel therapies for non-small cell lung cancer.

J. Donington, C. W. Koo, M. Ballas, 2011, Journal of thoracic imaging.

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.

Case of spontaneous whole-lung torsion with literature review.

E. Edell, S. Blackmon, C. W. Koo, 2018, Journal of thoracic disease.

Deep-learning-based model observer for a lung nodule detection task in computed tomography

Qiyuan Hu, Hao Gong, Andrew Walther, 2020, Journal of medical imaging.

A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT

Qiyuan Hu, Chi Wan Koo, Edwin A Takahashi, 2017, Medical Imaging.

Evaluation of a projection-domain lung nodule insertion technique in thoracic CT

Chi Wan Koo, Shuai Leng, Lifeng Yu, 2016, SPIE Medical Imaging.

Addition of the Fleischner Society Guidelines to Chest CT Examination Interpretive Reports Improves Adherence to Recommended Follow-up Care for Incidental Pulmonary Nodules.

Chi Wan Koo, Thomas E. Hartman, Anne-Marie Gisele Sykes, 2017, Academic radiology.

Recent Advancements in Computed Tomography Assessment of Fibrotic Interstitial Lung Diseases

C. W. Koo, Garima Suman, 2023, Journal of thoracic imaging.

Radiologic Response to Neoadjuvant Treatment Predicts Histologic Response in Thymic Epithelial Tumors

R. Marks, M. Aubry, E. Yi, 2017, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Putting artificial intelligence (AI) on the spot: machine learning evaluation of pulmonary nodules

B. Bartholmai, C. W. Koo, Yasmeen K Tandon, 2020, Journal of thoracic disease.

Impact of a Computer-Aided Detection (CAD) System Integrated into a Picture Archiving and Communication System (PACS) on Reader Sensitivity and Efficiency for the Detection of Lung Nodules in Thoracic CT Exams

Marcos Salganicoff, Chi Wan Koo, Vikram Anand, 2012, Journal of Digital Imaging.

Index of biventricular interdependence calculated using cardiac MRI: a proof of concept study in patients with and without constrictive pericarditis

J. Oh, P. Young, C. W. Koo, 2013, The International Journal of Cardiovascular Imaging.

Quantitative CT Analysis of Diffuse Lung Disease.

Chi Wan Koo, Brian J Bartholmai, D. Gierada, 2019, Radiographics : a review publication of the Radiological Society of North America, Inc.

Stratifying Differences on Ictal/Interictal Subtraction SPECT Images

Chi Wan Koo, Orrin Devinsky, O. Devinsky, 2003, Epilepsia.

l ung adenocarcinoma: Correlation of Quantitative CT Findings with

H. Rusinek, D. Naidich, J. Ko, 2016 .

Focal ground-glass opacities in non-small cell lung carcinoma resection patients.

J. Kucharczuk, C. W. Koo, W. Miller, 2012, European journal of radiology.

Renal sarcoid: Pseudotumoral radiologic manifestations and pathologic correlation

C. W. Koo, S. Akers, Alexandra Roudenko, 2015, Radiology case reports.

Bim and soluble PD-L1 (sPD-L1) as predictive biomarkers of response to anti-PD-1 therapy in patients with melanoma and lung carcinoma.

A. Mansfield, R. McWilliams, S. Markovic, 2017 .

Is the combination of bilateral pulmonary nodules and mosaic attenuation on chest CT specific for DIPNECH?

J. Ryu, C. W. Koo, E. Yi, 2021, Orphanet Journal of Rare Diseases.

Pulmonary Nodule Characterization, Including Computer Analysis and Quantitative Features

Chi Wan Koo, Srinivasan Rajagopalan, Brian J Bartholmai, 2015, Journal of thoracic imaging.

Evaluation of a projection-domain lung nodule insertion technique in thoracic computed tomography

Chi Wan Koo, Edwin A Takahashi, David L Levin, 2017, Journal of medical imaging.

Magnetic Resonance Imaging of Part-solid Nodules: A Pilot Study

E. Sigmund, A. Sykes, R. Carter, 2016, Journal of thoracic imaging.

Magnetic resonance radiomic feature performance in pulmonary nodule classification and impact of segmentation variability on radiomics.

T. Kline, A. Vercnocke, A. Lu, 2022, The British journal of radiology.

Can MRI contribute to pulmonary nodule analysis?

D. Wigle, T. Peikert, J. Geske, 2019, Journal of magnetic resonance imaging : JMRI.

Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study

Bingbing Ni, Zheng Zhang, Jiancheng Yang, 2021, Translational lung cancer research.

Lung Adenocarcinoma: Correlation of Quantitative CT Findings with Pathologic Findings.

H. Rusinek, H. Pass, D. Naidich, 2016, Radiology.

Predicting Usual Interstitial Pneumonia Histopathology from Chest CT with Deep Learning.

D. Blezek, A. Sykes, C. François, 2022, Chest.

A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography

Tucker F. Johnson, C. McCollough, S. Leng, 2021, Journal of clinical imaging science.

Photon-counting detector CT: improving interstitial lung disease classification using ultra-high resolution at a fraction of the radiation dose?

K. Rajendran, C. W. Koo, 2023, European Radiology.

Addition of the Fleischner Society Guidelines to Chest CT Examination Interpretive Reports Improves Adherence to Recommended Follow-up Care for Incidental Pulmonary Nodules.

T. Hartman, A. Sykes, C. Bender, 2017, Academic radiology.