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White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections.

D. Jin, Z. Xu, A. Harrison, and D. Mollura. ISBI, page 1060-1064. IEEE, (2018)

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Daniel J Schad

Daniel J Guhr

Daniel J Alfsmann

Daniel J Schmidt

Daniel J Egger

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Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation.B. Foster, U. Bagci, B. Luna, B. Dey, W. Bishai, S. Jain, Z. Xu, and D. Mollura. ISBI, page 1461-1464. IEEE, (2013)Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features.J. Caban, J. Yao, U. Bagci, and D. Mollura. EMBC, page 6216-6219. IEEE, (2011)Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection.M. Gao, Z. Xu, L. Lu, A. Harrison, R. Summers, and D. Mollura. MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 147-155. (2016)CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation.D. Jin, Z. Xu, Y. Tang, A. Harrison, and D. Mollura. MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 732-740. Springer, (2018)Joint solution for PET image segmentation, denoising, and partial volume correction.Z. Xu, M. Gao, G. Papadakis, B. Luna, S. Jain, D. Mollura, and U. Bagci. Medical Image Anal., (2018)Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images.U. Bagci, J. Udupa, N. Mendhiratta, B. Foster, Z. Xu, J. Yao, X. Chen, and D. Mollura. Medical Image Anal., 17 (8): 929-945 (2013)A graph-theoretic approach for segmentation of PET images.U. Bagci, J. Yao, J. Caban, E. Turkbey, O. Aras, and D. Mollura. EMBC, page 8479-8482. IEEE, (2011)Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections.U. Bagci, J. Yao, J. Caban, T. Palmore, A. Suffredini, and D. Mollura. EMBC, page 5096-5099. IEEE, (2011)Efficient ribcage segmentation from CT scans using shape features.Z. Xu, U. Bagci, C. Jonsson, S. Jain, and D. Mollura. EMBC, page 2899-2902. IEEE, (2014)Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker.K. George, A. Harrison, D. Jin, Z. Xu, and D. Mollura. DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 195-203. Springer, (2017)

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Disambiguation of "Mollura, Daniel J."

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White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections.

Please choose a person to relate this publication to

Daniel J Schad

Daniel J Guhr

Daniel J Alfsmann

Daniel J Schmidt

Daniel J Egger

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mollura, Daniel J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections.

Please choose a person to relate this publication to

Daniel J Schad

Daniel J Guhr

Daniel J Alfsmann

Daniel J Schmidt

Daniel J Egger

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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Chicago
DIN 1505
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White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections.