S. Gerard

发表

An Experimental Pre-Post Study on the Efficacy of Respiratory Physiotherapy in Severe Critically III COVID-19 Patients

P. Pelosi, M. Bassetti, C. Robba, 2021, Journal of clinical medicine.

Quantifying ventilation change due to radiation therapy using 4DCT Jacobian calculations

Gary E. Christensen, Joseph M. Reinhardt, John E. Bayouth, 2018, Medical physics.

Case Studies in Physiology: Temporal variations of the lung parenchyma and vasculature in asymptomatic COVID-19 pneumonia: a multispectral CT assessment

David W. Kaczka, E. Hoffman, J. Reinhardt, 2021, Journal of applied physiology.

Quantifying Regional Lung Deformation Using Four-Dimensional Computed Tomography: A Comparison of Conventional and Oscillatory Ventilation

Eric A. Hoffman, Gary E. Christensen, Joseph M. Reinhardt, 2020, Frontiers in Physiology.

Unsupervised segmentation and quantification of COVID-19 lesions on computed Tomography scans using CycleGAN

R. Rizi, M. Cereda, Y. Xin, 2022, Methods.

Early versus late intubation in COVID-19 patients failing helmet CPAP: A quantitative computed tomography study

P. Pelosi, M. Bassetti, I. Brunetti, 2022, Respiratory Physiology & Neurobiology.

Pulmonary Blood Volume Among Older Adults in the Community: The MESA Lung Study

Benjamin M. Smith, David W. Kaczka, Sanjiv J. Shah, 2022, Circulation. Cardiovascular imaging.

Lung2Lung: Volumetric Style Transfer with Self-Ensembling for High-Resolution Cross-Volume Computed Tomography

E. Hoffman, G. Christensen, J. Reinhardt, 2022, 2210.02625.

CT-derived vessel segmentation for analysis of post-radiation therapy changes in vasculature and perfusion

G. Christensen, J. Reinhardt, J. Bayouth, 2022, Frontiers in Physiology.

Robust Measures of Image-Registration-Derived Lung Biomechanics in SPIROMICS

E. Hoffman, G. Christensen, J. Reinhardt, 2022, J. Imaging.

Thoracic Image Analysis: Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Raúl San José Estépar, Kensaku Mori, Colin Jacobs, 2020, TIA@MICCAI.

A Personalized Spring Network Representation of Emphysematous Lungs From CT Images

K. Lutchen, B. Suki, H. Nia, 2022, Frontiers in Network Physiology.

FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images

Gary E. Christensen, Joseph M. Reinhardt, John E. Bayouth, 2019, IEEE Transactions on Medical Imaging.

Predicting severe chronic obstructive pulmonary disease exacerbations using quantitative CT: a retrospective model development and external validation study

E. Hoffman, G. Christensen, J. Reinhardt, 2023, The Lancet. Digital health.

Airway fractal dimension predicts respiratory morbidity and mortality in COPD

Raúl San José Estépar, G. Washko, E. Hoffman, 2018, The Journal of clinical investigation.

Diminishing Efficacy of Prone Positioning With Late Application in Evolving Lung Injury

J. Gee, N. Tustison, R. Rizi, 2021, Critical care medicine.

Airway fractal dimension predicts respiratory morbidity and mortality in COPD.

G. Washko, E. Hoffman, J. Reinhardt, 2018, Journal of Clinical Investigation.

Lung distribution of gas and blood volume in critically ill COVID-19 patients: a quantitative dual-energy computed tomography study

P. Pelosi, R. Rizi, M. Bassetti, 2021, Critical Care.

Pulmonary Lobe Segmentation Using A Sequence of Convolutional Neural Networks For Marginal Learning

Joseph M. Reinhardt, Sarah E. Gerard, J. Reinhardt, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network

Eric A. Hoffman, Joseph M. Reinhardt, David W. Kaczka, 2020, Scientific Reports.

The VAMPIRE challenge: A multi‐institutional validation study of CT ventilation imaging

Jing Cai, Mikel Byrne, Paul J Keall, 2019, Medical physics.

Multi-scale convolutional neural networks for segmentation of pulmonary structures in computed tomography

Sarah E. Gerard, S. Gerard, 2018 .

An open-source framework for pulmonary fissure completeness assessment

Raúl San José Estépar, James C. Ross, George R. Washko, 2020, Comput. Medical Imaging Graph..

Computed tomography assessment of PEEP-induced alveolar recruitment in patients with severe COVID-19 pneumonia

P. Pelosi, M. Bassetti, I. Brunetti, 2021, Critical Care.

Regional Gas Transport During Conventional and Oscillatory Ventilation Assessed by Xenon-Enhanced Computed Tomography

David W. Kaczka, E. Hoffman, J. Reinhardt, 2021, Annals of Biomedical Engineering.

Single Volume Lung Biomechanics from Chest Computed Tomography Using a Mode Preserving Generative Adversarial Network pdf

Eric A. Hoffman, Gary E. Christensen, Joseph M. Reinhardt, 2021, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species

David W. Kaczka, Jacob Herrmann, Joseph M Reinhardt, 2019, Medical Image Anal..

Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans pdf

David W. Kaczka, Elsa Angelini, Xinzi He, 2021, ArXiv.

A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial

P. Pelosi, L. Ball, M. Cereda, 2023, Frontiers in Medicine.

LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation

E. Hoffman, G. Christensen, J. Reinhardt, 2022, IEEE Transactions on Medical Imaging.

4DCT image artifact detection using deep learning.

S. Gerard, M. J. Flakus, J. E. Bayouth, 2024, Medical physics.

N-Phase Local Expansion Ratio for Characterizing Out-of-Phase Lung Ventilation

Wei Shao, John E Bayouth, Yue Pan, 2019, IEEE Transactions on Medical Imaging.

Mechanical ventilation guided by driving pressure optimizes local pulmonary biomechanics in an ovine model

David W. Kaczka, D. Lagier, S. Gerard, 2024, Science Translational Medicine.