Daniel J. Mollura
National Institutes of Health
127 Papers
912 Citations
Daniel J. Mollura is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Image segmentation & Medicine. The author has an hindex of 31, co-authored 123 publications. Previous affiliations of Daniel J. Mollura include Johns Hopkins University School of Medicine.
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Papers
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,Ziyue Xu,Isabella Nogues,Jianhua Yao,Daniel J. Mollura,Ronald M. Summers +8 more
TL;DR: Two specific computer-aided detection problems, namely thoraco-abdominal lymph node (LN) detection and interstitial lung disease (ILD) classification are studied, achieving the state-of-the-art performance on the mediastinal LN detection, and the first five-fold cross-validation classification results are reported.
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A review on segmentation of positron emission tomography images
TL;DR: This review paper presents state-of-the-art PET image segmentation methods, as well as the recent advances inimage segmentation techniques.
380
Evaluation of candidate vaccine approaches for MERS-CoV
Lingshu Wang,Wei Shi,M. Gordon Joyce,Kayvon Modjarrad,Yi Zhang,Kwanyee Leung,Christopher R. Lees,Tongqing Zhou,Hadi M. Yassine,Masaru Kanekiyo,Zhi Yong Yang,Xuejun Chen,Michelle M. Becker,Megan Culler Freeman,Leatrice Vogel,Joshua C. Johnson,Gene G. Olinger,John Paul Todd,Ulas Bagci,Jeffrey Solomon,Daniel J. Mollura,Lisa E. Hensley,Peter B. Jahrling,Mark R. Denison,Srinivas S. Rao,Kanta Subbarao,Peter D. Kwong,John R. Mascola,Wing Pui Kong,Barney S. Graham +29 more
TL;DR: It is shown that immunogens based on full-length S DNA and S1 subunit protein elicit robust serum-neutralizing activity against several MERS-CoV strains in mice and non-human primates.
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.
Mingchen Gao,Ulas Bagci,Le Lu,Aaron Wu,Mario Buty,Hoo-Chang Shin,Holger R. Roth,Georgios Z. Papadakis,Adrien Depeursinge,Ronald M. Summers,Ziyue Xu,Daniel J. Mollura +11 more
TL;DR: Qualitative and quantitative results using a publicly available ILD database demonstrate state-of-the-art classification accuracy under the patch-based classification and shows the potential of predicting the ILD type using holistic image.
290
Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends
Awais Mansoor,Ulas Bagci,Brent Foster,Ziyue Xu,Georgios Z. Papadakis,Les R. Folio,Jayaram K. Udupa,Daniel J. Mollura +7 more
TL;DR: A critical summary of the current methods for lung segmentation on CT images is provided, with special emphasis on the accuracy and performance of the methods in cases with abnormalities and cases with exemplary pathologic findings.