Daniel J. Mollura

60 papers Misc 1Journal 28Unranked 29

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