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ORCIDDaniel J. Mollura
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2020 – today
- 2022
[j16]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: 45997-46013 (2022)- 2021
- [i12]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 abs/2111.04893 (2021) - 2020
- [j15]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): 996-1001 (2020)
2010 – 2019
- 2018
- [j14]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): 1-6 (2018) - [j13]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: 229-243 (2018) - [c30]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: 1060-1064 - [c29]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: 732-740 - [i11]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 abs/1803.06782 (2018) - [i10]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 abs/1806.04051 (2018) - 2017
- [c28]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: 141-149 - [c27]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: 195-203 - [c26]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: 621-629 - [p2]Mingchen Gao, Ziyue Xu, Daniel J. Mollura:
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 2017: 97-111 - [p1]Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers:
Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 113-136 - [i9]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 abs/1701.05616 (2017) - [i8]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 abs/1706.03702 (2017) - [i7]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 abs/1708.04503 (2017) - 2016
- [j12]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): 1285-1298 (2016) - [c25]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: 1265-1268 - [c24]Aaron Wu, Ziyue Xu, Mingchen Gao, Mario Buty, Daniel J. Mollura:
Deep vessel tracking: A generalized probabilistic approach via deep learning. ISBI 2016: 1363-1367 - [c23]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: 147-155 - [c22]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: 662-670 - [i6]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 abs/1602.03409 (2016) - [i5]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 abs/1609.06668 (2016) - 2015
- [j11]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): 1-17 (2015) - [j10]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): 354 (2015) - [c21]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: 1196-1199 - 2014
- [j9]Brent Foster, Ulas Bagci, Awais Mansoor, Ziyue Xu, Daniel J. Mollura:
A review on segmentation of positron emission tomography images. Comput. Biol. Medicine 50: 76-96 (2014) - [j8]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): 711-724 (2014) - [j7]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): 2293-2310 (2014) - [c20]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: 1087-1090 - [c19]Ziyue Xu, Ulas Bagci, Colleen B. Jonsson, Sanjay Jain, Daniel J. Mollura:
Efficient ribcage segmentation from CT scans using shape features. EMBC 2014: 2899-2902 - [c18]Awais Mansoor, Ulas Bagci, Daniel J. Mollura:
Near-optimal keypoint sampling for fast pathological lung segmentation. EMBC 2014: 6032-6035 - [c17]Ziyue Xu, Ulas Bagci, Colleen B. 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: 6036-6039 - [c16]Awais Mansoor, Ulas Bagci, Daniel J. Mollura:
Optimally Stabilized PET Image Denoising Using Trilateral Filtering. MICCAI (1) 2014: 130-137 - [c15]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: 698-705 - [i4]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 abs/1407.3176 (2014) - [i3]Awais Mansoor, Ulas Bagci, Daniel J. Mollura:
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation. CoRR abs/1407.3179 (2014) - [i2]Awais Mansoor, Ulas Bagci, Daniel J. Mollura:
Optimally Stabilized PET Image Denoising Using Trilateral Filtering. CoRR abs/1407.3193 (2014) - 2013
- [j6]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): 1241-1251 (2013) - [j5]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): 929-945 (2013) - [c14]Ziyue Xu, Ulas Bagci, Brent Foster, Daniel J. Mollura:
A hybrid multi-scale approach to automatic airway tree segmentation from CT scans. ISBI 2013: 1308-1311 - [c13]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: 1461-1464 - [c12]Ulas Bagci, Daniel J. Mollura:
Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate. MICCAI (3) 2013: 115-122 - [c11]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: 559-566 - 2012
- [j4]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): 72-84 (2012) - [j3]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): 169 (2012) - [j2]Jesus Caban, Jianhua Yao, Daniel J. Mollura:
Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features. J. Digit. Imaging 25(4): 550-557 (2012) - [j1]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): 1620-1632 (2012) - [c10]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: 2700-2703 - [c9]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: 1459-1462 - [c8]Ulas Bagci, Jayaram K. Udupa, Jianhua Yao, Daniel J. Mollura:
Co-segmentation of Functional and Anatomical Images. MICCAI (3) 2012: 459-467 - 2011
- [c7]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: 5096-5099 - [c6]Jesus J. Caban, Jianhua Yao, Ulas Bagci, Daniel J. Mollura:
Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features. EMBC 2011: 6216-6219 - [c5]Ulas Bagci, Jianhua Yao, Jesus Caban, Evrim Turkbey, Omer Aras, Daniel J. Mollura:
A graph-theoretic approach for segmentation of PET images. EMBC 2011: 8479-8482 - [c4]Jesus J. Caban, David Liao, Jianhua Yao, Daniel J. Mollura, Bernadette Gochuico, Terry S. Yoo:
Enhancing image classification models with multi-modal biomarkers. Computer-Aided Diagnosis 2011: 79631T - [c3]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. Computer-Aided Diagnosis 2011: 79632W - [c2]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: 215-222 - [i1]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 abs/1106.5186 (2011)
2000 – 2009
- 2008
- [c1]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
Coauthor Index
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