Daniel J. Mollura

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 25

Top Topics

Convolutional Neural Networks

Top Venues

Medical Image Anal.

Publications

Nishanjan Ravin, Sourajit Saha, Alan Schweitzer, Ameena Elahi, Farouk Dako, Daniel J. Mollura, David Chapman
Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation. IEEE Access 10 (2022)
Nishanjan Ravin, Sourajit Saha, Alan Schweitzer, Ameena Elahi, Farouk Dako, Daniel J. Mollura, David Chapman
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation. CoRR (2021)
Ameena Elahi, Farouk Dako, Jonathan Zember, Bunmi Ojetayo, Dale A. Gerus, Alan Schweitzer, Daniel J. Mollura, Omer Awan
Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria. J. Digit. Imaging 33 (4) (2020)
Dakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. ISBI (2018)
Dakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. CoRR (2018)
Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. MICCAI (2) (2018)
Ziyue Xu, Mingchen Gao, Georgios Z. Papadakis, Brian Luna, Sanjay Jain, Daniel J. Mollura, Ulas Bagci
Joint solution for PET image segmentation, denoising, and partial volume correction. Medical Image Anal. 46 (2018)
Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (1) (2018)
Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. CoRR (2018)
Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. CoRR (2017)
Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura
Pathological Pulmonary Lobe Segmentation from CT Images using Progressive Holistically Nested Neural Networks and Random Walker. CoRR (2017)
Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura
Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. MICCAI (3) (2017)
Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura
Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. CoRR (2017)
Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura
Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker. DLMIA/ML-CDS@MICCAI (2017)
Dakai Jin, Ziyue Xu, Adam P. Harrison, Kevin George, Daniel J. Mollura
3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels. MLMI@MICCAI (2017)
Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura
Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. MICCAI (1) (2016)
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging 35 (5) (2016)
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR (2016)
Aaron Wu, Ziyue Xu, Mingchen Gao, Mario Buty, Daniel J. Mollura
Deep vessel tracking: A generalized probabilistic approach via deep learning. ISBI (2016)
Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features. CoRR (2016)
Mingchen Gao, Ziyue Xu, Le Lu, Aaron Wu, Isabella Nogues, Ronald M. Summers, Daniel J. Mollura
Segmentation label propagation using deep convolutional neural networks and dense conditional random field. ISBI (2016)
Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. MLMI@MICCAI (2016)
Ziyue Xu, Ulas Bagci, Mingchen Gao, Daniel J. Mollura
Highly precise partial volume correction for PET images: An iterative approach via shape consistency. ISBI (2015)
Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Jayaram K. Udupa, Daniel J. Mollura
A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. Medical Image Anal. 24 (1) (2015)
Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura
Correction to "A Generic Approach to Pathological Lung Segmentation". IEEE Trans. Medical Imaging 34 (1) (2015)
Awais Mansoor, Ulas Bagci, Daniel J. Mollura
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation. CoRR (2014)
Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas, Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura
CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans. EMBC (2014)
Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas, Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans. CoRR (2014)
Awais Mansoor, Ulas Bagci, Daniel J. Mollura
Near-optimal keypoint sampling for fast pathological lung segmentation. EMBC (2014)
Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura
A Generic Approach to Pathological Lung Segmentation. IEEE Trans. Medical Imaging 33 (12) (2014)
Brent Foster, Ulas Bagci, Ziyue Xu, Bappaditya Dey, Brian Luna, William Bishai, Sanjay Jain, Daniel J. Mollura
Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models. IEEE Trans. Biomed. Eng. 61 (3) (2014)
Brent Foster, Ulas Bagci, Awais Mansoor, Ziyue Xu, Daniel J. Mollura
A review on segmentation of positron emission tomography images. Comput. Biol. Medicine 50 (2014)
Ziyue Xu, Ulas Bagci, Colleen Jonsson, Sanjay Jain, Daniel J. Mollura
Efficient ribcage segmentation from CT scans using shape features. EMBC (2014)
Ziyue Xu, Ulas Bagci, Jurgen Seidel, David Thomasson, Jeffrey M. Solomon, Daniel J. Mollura
Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation. MICCAI (1) (2014)
Awais Mansoor, Ulas Bagci, Daniel J. Mollura
Optimally Stabilized PET Image Denoising Using Trilateral Filtering. MICCAI (1) (2014)
Awais Mansoor, Ulas Bagci, Daniel J. Mollura
Optimally Stabilized PET Image Denoising Using Trilateral Filtering. CoRR (2014)
Ziyue Xu, Ulas Bagci, Colleen Jonsson, Sanjay Jain, Daniel J. Mollura
Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach. EMBC (2014)
Ulas Bagci, Daniel J. Mollura
Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate. MICCAI (3) (2013)
Ulas Bagci, Jayaram K. Udupa, Neil Mendhiratta, Brent Foster, Ziyue Xu, Jianhua Yao, Xinjian Chen, Daniel J. Mollura
Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images. Medical Image Anal. 17 (8) (2013)
Brent Foster, Ulas Bagci, Brian Luna, Bappaditya Dey, William Bishai, Sanjay Jain, Ziyue Xu, Daniel J. Mollura
Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation. ISBI (2013)
Ziyue Xu, Ulas Bagci, Brent Foster, Daniel J. Mollura
A hybrid multi-scale approach to automatic airway tree segmentation from CT scans. ISBI (2013)
Ulas Bagci, Kirsten Miller-Jaster, Kenneth N. Olivier, Jianhua Yao, Daniel J. Mollura
Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections. Comput. Biol. Medicine 43 (9) (2013)
Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Daniel J. Mollura
Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces. MICCAI (2) (2013)
Ulas Bagci, Mike Bray, Jesus Caban, Jianhua Yao, Daniel J. Mollura
Corrigendum to "Computer-assisted detection of infectious lung diseases: A review" [Comput. Med. Imag. Graph. 36(2012) 72-84]. Comput. Medical Imaging Graph. 36 (2) (2012)
Ulas Bagci, Jayaram K. Udupa, Jianhua Yao, Daniel J. Mollura
Co-segmentation of Functional and Anatomical Images. MICCAI (3) (2012)
Ulas Bagci, Kirsten Miller-Jaster, Jianhua Yao, Albert Wu, Jesus Caban, Kenneth N. Olivier, Omer Aras, Daniel J. Mollura
Automatic quantification of Tree-in-Bud patterns from CT scans. ISBI (2012)
Jesus J. Caban, Ulas Bagci, Alem Mehari, Shoaib Alam, Joseph R. Fontana, Gregory J. Kato, Daniel J. Mollura
Characterizing non-linear dependencies among pairs of clinical variables and imaging data. EMBC (2012)
Ulas Bagci, Mike Bray, Jesus Caban, Jianhua Yao, Daniel J. Mollura
Computer-assisted detection of infectious lung diseases: A review. Comput. Medical Imaging Graph. 36 (1) (2012)
Jesus Caban, Jianhua Yao, Daniel J. Mollura
Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features. J. Digit. Imaging 25 (4) (2012)
Ulas Bagci, Jianhua Yao, Albert Wu, Jesus Caban, Tara N. Palmore, Anthony F. Suffredini, Omer Aras, Daniel J. Mollura
Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities From CT Scans. IEEE Trans. Biomed. Eng. 59 (6) (2012)
Jianhua Yao, Andrew J. Dwyer, Ronald M. Summers, Daniel J. Mollura
Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT. Medical Imaging: Computer-Aided Diagnosis (2011)
Jesus J. Caban, David Liao, Jianhua Yao, Daniel J. Mollura, Bernadette Gochuico, Terry S. Yoo
Enhancing image classification models with multi-modal biomarkers. Medical Imaging: Computer-Aided Diagnosis (2011)
Ulas Bagci, Jianhua Yao, Jesus Caban, Tara N. Palmore, Anthony F. Suffredini, Daniel J. Mollura
Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections. EMBC (2011)
Ulas Bagci, Jianhua Yao, Jesus Caban, Anthony F. Suffredini, Tara N. Palmore, Daniel J. Mollura
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems CoRR (2011)
Ulas Bagci, Jianhua Yao, Jesus Caban, Anthony F. Suffredini, Tara N. Palmore, Daniel J. Mollura
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems. MICCAI (3) (2011)
Jesus J. Caban, Jianhua Yao, Ulas Bagci, Daniel J. Mollura
Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features. EMBC (2011)
Ulas Bagci, Jianhua Yao, Jesus Caban, Evrim Turkbey, Omer Aras, Daniel J. Mollura
A graph-theoretic approach for segmentation of PET images. EMBC (2011)
Zaruhi R. Mnatsakanyan, Daniel J. Mollura, John R. Ticehurst, Mohammad R. Hashemian, Lang M. Hung
Electronic Medical Record (EMR) Utilization for Public Health Surveillance. AMIA (2008)