Electronic Medical Record (EMR) Utilization for Public Health Surveillance. - Zaruhi R. Mnatsakanyan; Daniel J. Mollura; John R. Ticehurst; Mohammad R. Hashemian; Lang M. Hung (AMIA, 2008)

Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections. - Ulas Bagci; Jianhua Yao 001; Jesus Caban; Tara N. Palmore; Anthony F. Suffredini; Daniel J. Mollura (EMBC, 2011)

A graph-theoretic approach for segmentation of PET images. - Ulas Bagci; Jianhua Yao 001; Jesus Caban; Evrim Turkbey; Omer Aras; Daniel J. Mollura (EMBC, 2011)

Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features. - Jesus J. Caban; Jianhua Yao 001; Ulas Bagci; Daniel J. Mollura (EMBC, 2011)

Enhancing image classification models with multi-modal biomarkers. - Jesus J. Caban; David Liao; Jianhua Yao 001; Daniel J. Mollura; Bernadette Gochuico; Terry S. Yoo (Computer-Aided Diagnosis, 2011)

Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT. - Jianhua Yao 001; Andrew J. Dwyer; Ronald M. Summers; Daniel J. Mollura (Computer-Aided Diagnosis, 2011)

Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems. - Ulas Bagci; Jianhua Yao 001; Jesus Caban; Anthony F. Suffredini; Tara N. Palmore; Daniel J. Mollura (MICCAI (3), 2011)

Characterizing non-linear dependencies among pairs of clinical variables and imaging data. - Jesus J. Caban; Ulas Bagci; Alem Mehari; Shoaib Alam; Joseph R. Fontana; Gregory J. Kato; Daniel J. Mollura (EMBC, 2012)

Automatic quantification of Tree-in-Bud patterns from CT scans. - Ulas Bagci; Kirsten Miller-Jaster; Jianhua Yao 001; Albert Wu; Jesus Caban; Kenneth N. Olivier; Omer Aras; Daniel J. Mollura (ISBI, 2012)

Co-segmentation of Functional and Anatomical Images. - Ulas Bagci; Jayaram K. Udupa; Jianhua Yao 001; Daniel J. Mollura (MICCAI (3), 2012)

Computer-assisted detection of infectious lung diseases: A review. - Ulas Bagci; Mike Bray; Jesus Caban; Jianhua Yao 001; Daniel J. Mollura (Comput. Medical Imaging Graph., 2012)

Corrigendum to "Computer-assisted detection of infectious lung diseases: A review" [Comput. Med. Imag. Graph. 36(2012) 72-84]. - Ulas Bagci; Mike Bray; Jesus Caban; Jianhua Yao 001; Daniel J. Mollura (Comput. Medical Imaging Graph., 2012)

Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features. - Jesus Caban; Jianhua Yao 001; Daniel J. Mollura (J. Digit. Imaging, 2012)

Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities From CT Scans. - Ulas Bagci; Jianhua Yao 001; Albert Wu; Jesus Caban; Tara N. Palmore; Anthony F. Suffredini; Omer Aras; Daniel J. Mollura (IEEE Trans. Biomed. Eng., 2012)

Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation. - Brent Foster; Ulas Bagci; Brian Luna; Bappaditya Dey; William Bishai; Sanjay Jain 002; Ziyue Xu 001; Daniel J. Mollura (ISBI, 2013)

A hybrid multi-scale approach to automatic airway tree segmentation from CT scans. - Ziyue Xu 001; Ulas Bagci; Brent Foster; Daniel J. Mollura (ISBI, 2013)

Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate. - Ulas Bagci; Daniel J. Mollura (MICCAI (3), 2013)

Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces. - Ziyue Xu 001; Ulas Bagci; Brent Foster; Awais Mansoor; Daniel J. Mollura (MICCAI (2), 2013)

Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections. - Ulas Bagci; Kirsten Miller-Jaster; Kenneth N. Olivier; Jianhua Yao 001; Daniel J. Mollura (Comput. Biol. Medicine, 2013)

Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images. - Ulas Bagci; Jayaram K. Udupa; Neil Mendhiratta; Brent Foster; Ziyue Xu 001; Jianhua Yao 001; Xinjian Chen 001; Daniel J. Mollura (Medical Image Anal., 2013)

CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans. - Awais Mansoor; Ulas Bagci; Brent Foster; Ziyue Xu 001; Deborah Douglas; Jeffrey M. Solomon; Jayaram K. Udupa; Daniel J. Mollura (EMBC, 2014)

Near-optimal keypoint sampling for fast pathological lung segmentation. - Awais Mansoor; Ulas Bagci; Daniel J. Mollura (EMBC, 2014)

Efficient ribcage segmentation from CT scans using shape features. - Ziyue Xu 001; Ulas Bagci; Colleen B. Jonsson; Sanjay Jain 002; Daniel J. Mollura (EMBC, 2014)

Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach. - Ziyue Xu 001; Ulas Bagci; Colleen B. Jonsson; Sanjay Jain 002; Daniel J. Mollura (EMBC, 2014)

Optimally Stabilized PET Image Denoising Using Trilateral Filtering. - Awais Mansoor; Ulas Bagci; Daniel J. Mollura (MICCAI (1), 2014)

Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation. - Ziyue Xu 001; Ulas Bagci; Jurgen Seidel; David Thomasson; Jeffrey M. Solomon; Daniel J. Mollura (MICCAI (1), 2014)

A review on segmentation of positron emission tomography images. - Brent Foster; Ulas Bagci; Awais Mansoor; Ziyue Xu 001; Daniel J. Mollura (Comput. Biol. Medicine, 2014)

Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models. - Brent Foster; Ulas Bagci; Ziyue Xu 001; Bappaditya Dey; Brian Luna; William Bishai; Sanjay Jain 002; Daniel J. Mollura (IEEE Trans. Biomed. Eng., 2014)

A Generic Approach to Pathological Lung Segmentation. - Awais Mansoor; Ulas Bagci; Ziyue Xu 001; Brent Foster; Kenneth N. Olivier; Jason M. Elinoff; Anthony F. Suffredini; Jayaram K. Udupa; Daniel J. Mollura (IEEE Trans. Medical Imaging, 2014)

Highly precise partial volume correction for PET images: An iterative approach via shape consistency. - Ziyue Xu 001; Ulas Bagci; Mingchen Gao; Daniel J. Mollura (ISBI, 2015)

A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. - Ziyue Xu 001; Ulas Bagci; Brent Foster; Awais Mansoor; Jayaram K. Udupa; Daniel J. Mollura (Medical Image Anal., 2015)

Correction to "A Generic Approach to Pathological Lung Segmentation". - Awais Mansoor; Ulas Bagci; Ziyue Xu 001; Brent Foster; Kenneth N. Olivier; Jason M. Elinoff; Anthony F. Suffredini; Jayaram K. Udupa; Daniel J. Mollura (IEEE Trans. Medical Imaging, 2015)

Segmentation label propagation using deep convolutional neural networks and dense conditional random field. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Aaron Wu; Isabella Nogues; Ronald M. Summers; Daniel J. Mollura (ISBI, 2016)

Deep vessel tracking: A generalized probabilistic approach via deep learning. - Aaron Wu; Ziyue Xu 001; Mingchen Gao; Mario Buty; Daniel J. Mollura (ISBI, 2016)

Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. - Mario Buty; Ziyue Xu 001; Mingchen Gao; Ulas Bagci; Aaron Wu; Daniel J. Mollura (MICCAI (1), 2016)

Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Adam P. Harrison; Ronald M. Summers; Daniel J. Mollura (MLMI@MICCAI, 2016)

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. - Hoo-Chang Shin; Holger R. Roth; Mingchen Gao; Le Lu 001; Ziyue Xu 001; Isabella Nogues; Jianhua Yao 001; Daniel J. Mollura; Ronald M. Summers (IEEE Trans. Medical Imaging, 2016)

Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker. - Kevin George; Adam P. Harrison; Dakai Jin; Ziyue Xu 001; Daniel J. Mollura (DLMIA/ML-CDS@MICCAI, 2017)

Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. - Adam P. Harrison; Ziyue Xu 001; Kevin George; Le Lu 001; Ronald M. Summers; Daniel J. Mollura (MICCAI (3), 2017)

3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels. - Dakai Jin; Ziyue Xu 001; Adam P. Harrison; Kevin George; Daniel J. Mollura (MLMI@MICCAI, 2017)

Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Adam P. Harrison; Ronald M. Summers; Daniel J. Mollura (CoRR, 2017)

Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning. - Mingchen Gao; Ziyue Xu 001; Daniel J. Mollura (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. - Hoo-Chang Shin; Holger R. Roth; Mingchen Gao; Le Lu 001; Ziyue Xu 001; Isabella Nogues; Jianhua Yao 001; Daniel J. Mollura; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. - Dakai Jin; Ziyue Xu 001; Adam P. Harrison; Daniel J. Mollura (ISBI, 2018)

CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. - Dakai Jin; Ziyue Xu 001; Youbao Tang; Adam P. Harrison; Daniel J. Mollura (MICCAI (2), 2018)

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. - Mingchen Gao; Ulas Bagci; Le Lu 001; Aaron Wu; Mario Buty; Hoo-Chang Shin; Holger Roth; Georgios Z. Papadakis; Adrien Depeursinge; Ronald M. Summers; Ziyue Xu 001; Daniel J. Mollura (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Joint solution for PET image segmentation, denoising, and partial volume correction. - Ziyue Xu 001; Mingchen Gao; Georgios Z. Papadakis; Brian Luna; Sanjay Jain 002; Daniel J. Mollura; Ulas Bagci (Medical Image Anal., 2018)

Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria. - Ameena Elahi; Farouk Dako; Jonathan Zember; Bunmi Ojetayo; Dale A. Gerus; Alan Schweitzer; Daniel J. Mollura; Omer Awan (J. Digit. Imaging, 2020)

Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation. - Nishanjan Ravin; Sourajit Saha; Alan Schweitzer; Ameena Elahi; Farouk Dako; Daniel J. Mollura; David Chapman 001 (CoRR, 2021)

Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation. - Nishanjan Ravin; Sourajit Saha; Alan Schweitzer; Ameena Elahi; Farouk Dako; Daniel J. Mollura; David Chapman 001 (IEEE Access, 2022)