MRI correlates of chronic symptoms in mild traumatic brain injury (English)
- New search for: Kerley, Cailey I.
- New search for: Schilling, Kurt G.
- New search for: Blaber, Justin
- New search for: Miller, Beth
- New search for: Newton, Allen
- New search for: Anderson, Adam W.
- New search for: Landman, Bennett A.
- New search for: Rex, Tonia S.
- New search for: Kerley, Cailey I.
- New search for: Schilling, Kurt G.
- New search for: Blaber, Justin
- New search for: Miller, Beth
- New search for: Newton, Allen
- New search for: Anderson, Adam W.
- New search for: Landman, Bennett A.
- New search for: Rex, Tonia S.
In:
Medical Imaging 2020: Image Processing
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113132Q-113132Q-7
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2020
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ISBN:
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ISSN:
- Conference paper / Print
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Title:MRI correlates of chronic symptoms in mild traumatic brain injury
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Contributors:Kerley, Cailey I. ( author ) / Schilling, Kurt G. ( author ) / Blaber, Justin ( author ) / Miller, Beth ( author ) / Newton, Allen ( author ) / Anderson, Adam W. ( author ) / Landman, Bennett A. ( author ) / Rex, Tonia S. ( author )
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Conference:Medical Imaging 2020: Image Processing
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Published in:Medical Imaging 2020: Image Processing ; 113132Q-113132Q-7Proceedings of SPIE, the International Society for Optical Engineering ; 11313 ; 113132Q-113132Q-7
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Publisher:
- New search for: SPIE
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Publication date:2020-01-01
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Size:113132Q-113132Q-7
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ISBN:
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ISSN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
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Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 113130A
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Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networksStough, Joshua V. / Raghunath, Sushravya / Zhang, Xiaoyan / Pfeifer, John M. / Fornwalt, Brandon K. / Haggerty, Christopher M. et al. | 2020
- 113130B
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Multiresolution LOGISMOS graph search for automated choroidal layer segmentation of 3D macular OCT scansLee, Kyungmoo / Sohn, Elliott H. / Zhang, Honghai / Warren, Alexis K. / Wahle, Andreas / Whitmore, S. Scott / Sonka, Milan / Abràmoff, Michael D. et al. | 2020
- 113130C
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Self-fusion for OCT noise reductionOguz, Ipek / Malone, Joseph D. / Atay, Yigit / Tao, Yuankai K. et al. | 2020
- 113130D
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Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imagingGao, Riqiang / Li, Lingfeng / Tang, Yucheng / Antic, Sanja L. / Paulson, Alexis B. / Huo, Yuankai / Sandler, Kim L. / Massion, Pierre P. / Landman, Bennett A. et al. | 2020
- 113130E
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Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategiesYu, Zhenmei / Pang, Shuchao / Du, Anan / Orgun, Mehmet A. / Wang, Yan / Lin, Hong et al. | 2020
- 113130F
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Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detectionRemedios, Samuel / Wu, Zihao / Bermudez, Camilo / Kerley, Cailey I. / Roy, Snehashis / Patel, Mayur B. / Butman, John A. / Landman, Bennett A. / Pham, Dzung L. et al. | 2020
- 113130G
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Coronary artery calcium scoring: Can we do better?Van velzen, Sanne G. M. / de Vos, Bob D. / Verkooijen, Helena M. / Leiner, Tim / Viergever, Max A. / Išgum, Ivana et al. | 2020
- 113130H
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Finding novelty with uncertaintyReinhold, Jacob C. / He, Yufan / Han, Shizhong / Chen, Yunqiang / Gao, Dashan / Lee, Junghoon / Prince, Jerry L. / Carass, Aaron et al. | 2020
- 113130I
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Towards reduced-preparation spectral-CT-colonography utilizing local covarianceWiemker, Rafael / Klinder, Tobias / Sabczynski, Jörg / Dhanantwari, Amar / An, Chansik / Yeh, Benjamin M. / Yee, Judy et al. | 2020
- 113130J
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Estimation of four-dimensional CT-based imaging biomarker of liver fibrosis using finite element methodFujimoto, Koya / Shiinoki, Takehiro / Yuasa, Yuki et al. | 2020
- 113130K
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Multilevel survival analysis with structured penalties for imaging genetics dataLu, Pascal / Colliot, Olivier et al. | 2020
- 113130L
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Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learningBermudez, Camilo / Blaber, Justin / Remedios, Samuel W. / Reynolds, Jess E. / Lebel, Catherine / McHugo, Maureen / Heckers, Stephan / Huo, Yuankai / Landman, Bennett A. et al. | 2020
- 113130M
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Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRIGong, Enhao / Guo, Jia / Liu, Jiang / Fan, Audrey / Pauly, John / Zaharchuk, Greg et al. | 2020
- 113130N
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Artifact reduction in brain magnetic resonance imaging (MRI) by means of a dense residual network with K-space blending (DRN-KB)Liu, Junchi / Deng, Jie et al. | 2020
- 113130O
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Deformable alignment of longitudinal postoperative brain GBM scans using deep learningLao, Yi / Yu, Victoria / Chang, Eric / Yang, Wensha / Sheng, Ke et al. | 2020
- 113130P
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An adversarial machine-learning-based approach and biomechanically guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT for adaptive prostate radiotherapy applicationsSanthanam, Anand P. / Lauria, Michael / Stiehl, Brad / Elliott, Daniel / Seshan, Saty / Hsieh, Scott / Cao, Minsong / Low, Daniel et al. | 2020
- 113130Q
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Deep-learning-based CT-CBCT image registration for adaptive radio therapyKuckertz, Sven / Papenberg, Nils / Honegger, Jonas / Morgas, Tomasz / Haas, Benjamin / Heldmann, Stefan et al. | 2020
- 113130R
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Mutual information for unsupervised deep learning image registrationde Vos, Bob D. / van der Velden, Bas H. M. / Sander, Jörg / Gilhuijs, Kenneth G. A. / Staring, Marius / Išgum, Ivana et al. | 2020
- 113130S
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Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRINath, Vishwesh / Pathak, Sudhir K. / Schilling, Kurt G. / Schneider, Walt / Landman, Bennett A. et al. | 2020
- 113130T
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Anatomically informed data augmentation for functional MRI with applications to deep learningNguyen, Kevin P. / Chin Fatt, Cherise / Treacher, Alex / Mellema, Cooper / Trivedi, Madhukar H. / Montillo, Albert et al. | 2020
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Neural effect induced by exercise intervention can be categorized by altered functional connectivity in early psychotic patientsGeng, Xiujuan / Song, Peilun / Chen, Eric H. Y. / Wang, Yaping / Lin, Jingxia et al. | 2020
- 113130V
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Association between fMRI brain entropy features and behavioral measuresZhang, Shengchao / Rogers, Baxter P. / Morgan, Victoria L. / Chang, Catie et al. | 2020
- 113130W
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Numerical DWI phantoms to optimize accuracy and precision of quantitative parametric maps for non-Gaussian diffusionMalyarenko, Dariya I. / Pang, Yuxi / Amouzandeh, Ghoncheh / Chenevert, Thomas L. et al. | 2020
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Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiographyLiu, Yihao / Zuo, Lianrui / Carass, Aaron / He, Yufan / Filippatou, Angeliki / Solomon, Sharon D. / Saidha, Shiv / Calabresi, Peter A. / Prince, Jerry L. et al. | 2020
- 113130Z
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Cardiac cine MRI left ventricle segmentation combining deep learning and graphical modelsGuo, Fumin / Ng, Matthew / Wright, Graham et al. | 2020
- 113131A
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Topology-aware activation layer for neural network image segmentationBaxter, John S. H. / Jannin, Pierre et al. | 2020
- 113131B
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Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithmsDushatskiy, Arkadiy / Mendrik, Adriënne M. / Bosman, Peter A. N. / Alderliesten, Tanja et al. | 2020
- 113131C
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- 113131D
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Semi-supervised multi-organ segmentation through quality assurance supervisionLee, Ho Hin / Tang, Yucheng / Tang, Olivia / Xu, Yuchen / Chen, Yunqiang / Gao, Dashan / Han, Shizhong / Gao, Riqiang / Savona, Michael R. / Abramson, Richard G. et al. | 2020
- 113131J
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Visualization approach to assess the robustness of neural networks for medical image classificationThibeau-Sutre, Elina / Colliot, Olivier / Dormont, Didier / Burgos, Ninon et al. | 2020
- 113131K
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An exploration of uncertainty information for segmentation quality assessmentHoebel, Katharina / Andrearczyk, Vincent / Beers, Andrew / Patel, Jay / Chang, Ken / Depeursinge, Adrien / Müller, Henning / Kalpathy-Cramer, Jayashree et al. | 2020
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- 113131M
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Automatic online quality control of synthetic CTsvan Harten, Louis D. / Wolterink, Jelmer M. / Verhoeff, Joost J. C. / Išgum, Ivana et al. | 2020
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Homology-based approach for prognostic prediction of lung cancer using novel topologically invariant radiomic featuresNinomiya, K. / Arimura, H. et al. | 2020
- 113131O
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Fully convolutional network with sparse feature-maps composition for automatic lung tumor segmentation from PET imagesTian, Haihong / Xiang, Dehui / Zhu, Weifang / Shi, Fei / Chen, Xinjian et al. | 2020
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The improved reconstruction of fluorescence molecular tomography via regularized doubly orthogonal matching pursuit methodKong, Lingxin / An, Yu / Du, Yang / Tian, Jie et al. | 2020
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- 113132J
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Super-resolution magnetic resonance imaging reconstruction using deep attention networksHe, Xiuxiu / Lei, Yang / Fu, Yabo / Mao, Hui / Curran, Walter J. / Liu, Tian / Yang, Xiaofeng et al. | 2020
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Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planningLiu, Yingzi / Lei, Yang / Wang, Tonghe / Zhou, Jun / Lin, Liyong / Liu, Tian / Patel, Pretesh / Curran, Walter J. / Ren, Lei / Yang, Xiaofeng et al. | 2020
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- 113132Q
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MRI correlates of chronic symptoms in mild traumatic brain injuryKerley, Cailey I. / Schilling, Kurt G. / Blaber, Justin / Miller, Beth / Newton, Allen / Anderson, Adam W. / Landman, Bennett A. / Rex, Tonia S. et al. | 2020
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Development of a 3D carotid atlas for quantification of local volume changeChen, Xueli / Zhao, Yuan / Spence, J. David / Chiu, Bernard et al. | 2020
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Feature-based retinal image registration for longitudinal analysis of patients with age-related macular degenerationDe Silva, Tharindu / Hotaling, Nathan / Chew, Emily Y. / Cukras, Catherine et al. | 2020
- 113133A
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- 113133B
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Improved automated segmentation of human kidney organoids using deep convolutional neural networksMacDonald, Michael / Fennel, Theron R. / Singanamalli, Asha / Cruz, Nelly M. / Yousefhussein, Mohammad / Al-Kofahi, Yousef / Freedman, Benjamin S. et al. | 2020
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Adversarial domain adaptation for multi-device retinal OCT segmentationHe, Yufan / Carass, Aaron / Liu, Yihao / Saidha, Shiv / Calabresi, Peter A. / Prince, Jerry L. et al. | 2020
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Influence of decoder size for binary segmentation tasks in medical imagingvan der Putten, Joost / van der Sommen, Fons / de With, Peter H. N. et al. | 2020
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Unified multi-scale feature abstraction for medical image segmentationFang, Xi / Du, Bo / Xu, Sheng / Wood, Bradford J. / Yan, Pingkun et al. | 2020
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Reduction of motion artifacts in head CT exams using multi-scale convolutional neural networkSu, Bin / Liu, Yanyan / Fu, Jianwei / Quan, Guotao et al. | 2020
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CAI-UNet for segmentation of liver lesion in CT imageCheon, Sodam / Yang, Ehwa / Lee, Won Jae / Kim, Jae-Hun et al. | 2020
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An end-to-end deep learning approach for landmark detection and matching in medical imagesGrewal, Monika / Deist, Timo M. / Wiersma, Jan / Bosman, Peter A. N. / Alderliesten, Tanja et al. | 2020
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Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation predictionFu, Yabo / Lei, Yang / Zhou, Jun / Wang, Tonghe / Jani, Ashesh / Patel, Pretesh / Mao, Hui / Curran, Walter J. / Liu, Tian / Yang, Xiaofeng et al. | 2020
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Multi-label segmentation of bone, muscle, and fat in CT volumes via convex relaxationPérez-Carrasco, J. A. / Acha, B. / Serrano, C. et al. | 2020
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Group-wise attention fusion network for choroid segmentation in OCT imagesCheng, Xuena / Chen, Xinjian / Feng, Shuanglang / Zhu, Weifang / Xiang, Dehui / Chen, Qiuying / Xu, Xun / Fan, Ying / Shi, Fei et al. | 2020
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Automatic lung segmentation in low-dose CT image with contrastive attention moduleYang, Changxing / Tian, Haihong / Xiang, Dehui / Shi, Fei / Zhu, Weifang / Chen, Xinjian et al. | 2020
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Attention-guided channel to pixel convolution network for retinal layer segmentation with choroidal neovascularizationYang, Xiaoling / Chen, Xinjian / Xiang, Dehui et al. | 2020
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Attention multi-scale network for pigment epithelial detachment segmentation in OCT imagesBao, Dengsen / Cheng, Xuena / Zhu, Weifang / Shi, Fei / Chen, Xinjian et al. | 2020
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Outlier guided optimization of abdominal segmentationXu, Yuchen / Tang, Olivia / Tang, Yucheng / Lee, Ho Hin / Chen, Yunqiang / Gao, Dashan / Han, Shizhong / Gao, Riqiang / Savona, Michael R. / Abramson, Richard G. et al. | 2020
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Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentationHan, Shuo / Prince, Jerry L. / Carass, Aaron et al. | 2020
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Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomographyLei, Yang / Tian, Sibo / Fu, Yabo / Dong, Xue / Wang, Tonghe / Jani, Ashesh / Schuster, David M. / Curran, Walter J. / Patel, Pretesh / Liu, Tian et al. | 2020
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Comparison of training strategies for the segmentation of retina layers in optical coherence tomography images of rodent eyes using convolutional neural networksChen, Antong / Ong, Charlene Zhi Lin / Luo, Weiwei / Lee, Chen Fei / Chia, Ser Mien / Galvao, Joana / Metzger, Daniel / Gifford, Eric / Chin, Chih-Liang / Abu Bakar Ali, Asad et al. | 2020