Mutual information for unsupervised deep learning image registration (Englisch)
- Neue Suche nach: de Vos, Bob D.
- Neue Suche nach: van der Velden, Bas H. M.
- Neue Suche nach: Sander, Jörg
- Neue Suche nach: Gilhuijs, Kenneth G. A.
- Neue Suche nach: Staring, Marius
- Neue Suche nach: Išgum, Ivana
- Neue Suche nach: de Vos, Bob D.
- Neue Suche nach: van der Velden, Bas H. M.
- Neue Suche nach: Sander, Jörg
- Neue Suche nach: Gilhuijs, Kenneth G. A.
- Neue Suche nach: Staring, Marius
- Neue Suche nach: Išgum, Ivana
In:
Medical Imaging 2020: Image Processing
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113130R-113130R-7
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2020
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ISBN:
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ISSN:
- Aufsatz (Konferenz) / Print
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Titel:Mutual information for unsupervised deep learning image registration
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Beteiligte:de Vos, Bob D. ( Autor:in ) / van der Velden, Bas H. M. ( Autor:in ) / Sander, Jörg ( Autor:in ) / Gilhuijs, Kenneth G. A. ( Autor:in ) / Staring, Marius ( Autor:in ) / Išgum, Ivana ( Autor:in )
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Kongress:Medical Imaging 2020: Image Processing
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Erschienen in:Medical Imaging 2020: Image Processing ; 113130R-113130R-7Proceedings of SPIE, the International Society for Optical Engineering ; 11313 ; 113130R-113130R-7
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Verlag:
- Neue Suche nach: SPIE
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Erscheinungsdatum:01.01.2020
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Format / Umfang:113130R-113130R-7
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ISBN:
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ISSN:
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Medientyp:Aufsatz (Konferenz)
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Format:Print
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Sprache:Englisch
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Datenquelle:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Inhaltsverzeichnis Konferenzband
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 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
- 113130U
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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
- 113130Y
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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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Combining deep learning and model-based segmentation for labeled spine CT segmentationBuerger, Christian / von Berg, Jens / Franz, Astrid / Klinder, Tobias / Lorenz, Cristian / Lenga, Matthias et al. | 2020
- 113131D
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Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT imagesFan, Yubo / Zhang, Dongqing / Wang, Jianing / Noble, Jack H. / Dawant, Benoit M. et al. | 2020
- 113131E
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Multi-class semantic segmentation of pediatric chest radiographsHolste, Gregory / Sullivan, Ryan / Bindschadler, Michael / Nagy, Nicholas / Alessio, Adam et al. | 2020
- 113131F
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Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planningvan Harten, Louis D. / Wolterink, Jelmer M. / Verhoeff, Joost J. C. / Išgum, Ivana et al. | 2020
- 113131G
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Anatomy segmentation evaluation with sparse ground truth dataLi, Jieyu / Udupa, Jayaram K. / Tong, Yubing / Wang, Lisheng / Torigian, Drew A. et al. | 2020
- 113131H
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Adding uncertainty to dermatological assistanceMurkute, Jaideep V. / Damania, Ronit J. / Nair, Nitinraj R. / Kotecha, Nikunj R. / Wicks, Chris / Phipps, Robert / Ptucha, Raymond / Papier, Art et al. | 2020
- 113131I
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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
- 113131L
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Robust chest x-ray quality assessment using convolutional neural networks and atlas regularizationvon Berg, Jens / Krönke, Sven / Gooßen, André / Bystrov, Daniel / Brück, Matthias / Harder, Tim / Wieberneit, Nataly / Young, Stewart et al. | 2020
- 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
- 113131N
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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
- 113131P
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Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast informationXu, Junshen / Gong, Enhao / Ouyang, Jiahong / Pauly, John / Zaharchuk, Greg et al. | 2020
- 113131Q
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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
- 113131R
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Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic responseDirks, Ine / Keyaerts, Marleen / Neyns, Bart / Vandemeulebroucke, Jef et al. | 2020
- 113131S
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Identifying the common and subject-specific functional units of speech movements via a joint sparse non-negative matrix factorization frameworkWoo, Jonghye / Xing, Fangxu / Prince, Jerry L. / Stone, Maureen / Reese, Timothy G. / Wedeen, Van J. / El Fakhri, Georges et al. | 2020
- 113131U
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Network features of simultaneous EEG and fMRI predict working memory loadWang, Yutong / Liu, Ying / Yao, Li / Zhao, Xiaojie et al. | 2020
- 113131V
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Hybrid dictionary learning-ICA approaches built on novel instantaneous dynamic connectivity metric provide new multiscale insights into dynamic brain connectivityMiler, Robyn L. / Calhoun, Vince D. et al. | 2020
- 113131W
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Self-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentationBaldeon Calisto, Maria G. / Lai-Yuen, Susana K. et al. | 2020
- 113131X
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Choroidal atrophy segmentation based on deep network with deep-supervision and EDT-auxiliary-lossLu, Ruyi / Zhu, Weifang / Cheng, Xuena / Chen, Xinjian et al. | 2020
- 113131Y
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Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNNSundgaard, Josefine Vilsbøell / Juhl, Kristine Aavild / Kofoed, Klaus Fuglsang / Paulsen, Rasmus R. et al. | 2020
- 113131Z
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An improved U-Net for nerve fibre segmentation in confocal corneal microscopy imagesZhou, Xinxin / Chen, Xinjian / Feng, Shuanglang / Shi, Fei et al. | 2020
- 113132A
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A target-oriented and multi-patch-based framework for image quality assessment on carotid artery MRIJiang, Hongjian / Chen, Li / Xu, Dongxiang / Zhao, Huilin / Watase, Hiroko / Zhao, Xihai / Yuan, Chun et al. | 2020
- 113132B
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Convolutional neural-network-based ordinal regression for brain age prediction from MRI scansSokolova, Ksenia / Barker, Gareth J. / Montana, Giovanni et al. | 2020
- 113132C
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Segmentation of stem cell colonies in fluorescence microscopy images with transfer learningZiaei, Dorsa / Chapman, David / Yesha, Yaacov / Halem, Milton et al. | 2020
- 113132D
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Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-NetHe, Xiuxiu / Guo, Bang Jun / Lei, Yang / Wang, Tonghe / Liu, Tian / Curran, Walter J. / Zhang, Long Jiang / Yang, Xiaofeng et al. | 2020
- 113132E
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New loss functions for medical image registration based on VoxelMorphZhu, Yongpei / Zhou, Zicong / Liao, Guojun / Yuan, Kehong et al. | 2020
- 113132F
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A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivityCai, Biao / Stephen, Julia M. / Wilson, Tony W. / Calhoun, Vince D. / Wang, Yu-Ping et al. | 2020
- 113132G
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A generalized method for computation of n-dimensional Radon transformsFrysch, Robert / Pfeiffer, Tim / Rose, Georg et al. | 2020
- 113132H
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Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT imagesKopriva, Ivica / Shi, Fei / Štanfel, Marija / Chen, Xinjian et al. | 2020
- 113132I
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Metal artifacts reduction in computed tomography by Fourier coefficient correction using convolutional neural networkMai, Qi / Wan, Justin W. L. et al. | 2020
- 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
- 113132K
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Simultaneously spatial and temporal higher-order total variations for noise suppression and motion reduction in DCE and IVIMHe, Renjie / Ding, Yao / Mohamed, Abdallah S. R. / Ng, Sweet Ping / Ger, Rachel B. / Elhalawani, Hesham / Elgohari, Baher A. / Young, Kristina H. / Hutcheson, Katherine A. / Fuller, Clifton D. et al. | 2020
- 113132L
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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
- 113132M
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FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesisSengupta, Sourya / Athwale, Akshay / Gulati, Tanmay / Zelek, John / Lakshminarayanan, Vasudevan et al. | 2020
- 113132N
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Deep similarity learning using a Siamese ResNet trained on similarity labels from disparity maps of cerebral MRA MIP pairsNeumann, Christian / Tönnies, Klaus D. / Pohle-Fröhlich, Regina et al. | 2020
- 113132O
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Validation and optimization of multi-organ segmentation on clinical imaging archivesTang, Olivia / Xu, Yuchen / Tang, Yucheng / Lee, Ho Hin / Chen, Yunqiang / Gao, Dashan / Han, Shizhong / Gao, Riqiang / Savona, Michael R. / Abramson, Richard G. et al. | 2020
- 113132P
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A quasi-conformal mapping-based data augmentation technique for brain tumor segmentationZhang, Min / An, Dongsheng / Young, Geoffrey S. / Gu, Xianfeng / Xu, Xiaoyin et al. | 2020
- 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
- 113132R
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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
- 113132S
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Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival predictionHan, Wei / Qin, Lei / Bay, Camden / Chen, Xin / Yu, Kun-Hsing / Li, Angie / Xu, Xiaoyin / Young, Geoffrey S. et al. | 2020
- 113132T
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An unsupervised deep learning approach for 4DCT lung deformable image registrationFu, Yabo / Lei, Yang / Wang, Tonghe / Higgins, Kristin / Bradley, Jeffrey D. / Curran, Walter J. / Liu, Tian / Yang, Xiaofeng et al. | 2020
- 113132U
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Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CTFu, Yabo / Lei, Yang / Liu, Yingzi / Wang, Tonghe / Curran, Walter J. / Liu, Tian / Patel, Pretesh / Yang, Xiaofeng et al. | 2020
- 113132V
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Imposing implicit feasibility constraints on deformable image registration using a statistical generative modelSang, Yudi / Xing, Xianglei / Wu, Yingnian / Ruan, Dan et al. | 2020
- 113132W
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Local structure orientation: a new method for histology and MRI coregistrationAlyami, Wadha / Kyme, Andre / Bourne, Roger et al. | 2020
- 113132X
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Unsupervised learning-based deformable registration of temporal chest radiographs to detect interval changeFang, Qiming / Yan, Jichao / Gu, Xiaomeng / Zhao, Jun / Li, Qiang et al. | 2020
- 113132Y
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Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networksZeng, Qiulan / Fu, Yabo / Jeong, Jiwoong / Lei, Yang / Wang, Tonghe / Mao, Hui / Jani, Ashesh B. / Patel, Pretesh / Curran, Walter J. / Liu, Tian et al. | 2020
- 113132Z
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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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Multi-organ segmentation in head and neck MRI using U-Faster-RCNNLei, Yang / Zhou, Jun / Dong, Xue / Wang, Tonghe / Mao, Hui / McDonald, Mark / Curran, Walter J. / Liu, Tian / Yang, Xiaofeng et al. | 2020
- 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
- 113133C
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Segmenting retinal OCT images with inter-B-scan and longitudinal informationHe, Yufan / Carass, Aaron / Liu, Yihao / Filippatou, Angeliki / Jedynak, Bruno M. / Solomon, Sharon D. / Saidha, Shiv / Calabresi, Peter A. / Prince, Jerry L. et al. | 2020
- 113133D
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Multi-atlas-based tissue identification in the lower leg using pQCTMakrogiannis, Sokratis / Okorie, Azubuike / Biswas, Taposh / Ferrucci, Luigi et al. | 2020
- 113133E
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Unsupervised local feature learning for sensitive three-dimensional ultrasound assessment of carotid atherosclerosisZhao, Yuan / Spence, J. David / Chiu, Bernard et al. | 2020
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Front Matter: Volume 11313| 2020
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Multi-modality MRI arbitrary transformation using unified generative adversarial networksLei, Yang / Fu, Yabo / Mao, Hui / Curran, Walter J. / Liu, Tian / Yang, Xiaofeng et al. | 2020
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Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image databaseZheng, Tong / Oda, Hirohisa / Moriya, Takayasu / Sugino, Takaaki / Nakamura, Shota / Oda, Masahiro / Mori, Masaki / Takabatake, Hirotsugu / Natori, Hiroshi / Mori, Kensaku et al. | 2020
- 1131307
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GANet: group attention network for diabetic retinopathy image segmentationYe, Lei / Zhu, Weifang / Feng, Shuanglang / Chen, Xinjian et al. | 2020
- 1131308
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Fully automated segmentation of hyper-reflective foci in OCT images using a U-shape networkZhu, Liangjiu / Zhu, Weifang / Feng, Shuanglang / Chen, Xinjian et al. | 2020
- 1131309
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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
- 1131310
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Contrast phase classification with a generative adversarial networkTang, Yucheng / Lee, Ho Hin / Xu, Yuchen / Tang, Olivia / Chen, Yunqiang / Gao, Dashan / Han, Shizhong / Gao, Riqiang / Bermudez, Camilo / Savona, Michael R. et al. | 2020
- 1131311
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Vessel wall segmentation of common carotid artery via multi-branch light networkTan, Haochen / Shi, Huimin / Lin, Mingquan / Spence, J. David / Chan, Kwok-Leung / Chiu, Bernard et al. | 2020
- 1131312
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Anatomical labeling of human airway branches using a novel two-step machine learning and hierarchical featuresNadeem, Syed Ahmed / Hoffman, Eric A. / Comellas, Alejandro P. / Saha, Punam K. et al. | 2020
- 1131313
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Incorporating minimal user input into deep-learning-based image segmentationShahedi, Maysam / Halicek, Martin / Dormer, James D. / Fei, Baowei et al. | 2020
- 1131314
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Weakly supervised pancreas segmentation based on class activation mapsSchumacher, Mona / Genz, Andreas / Heinrich, Mattias et al. | 2020
- 1131315
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Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networksBoers, T. G. W. / van der Putten, J. / de Groof, J. / Struyvenberg, M. / Fockens, K. / Curvers, W. / Schoon, E. / van der Sommen, F. / Bergman, J. / de With, P.H. N. et al. | 2020
- 1131316
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Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalizationShen, Chen / Wang, Chenglong / Roth, Holger R. / Oda, Masahiro / Hayashi, Yuichiro / Misawa, Kazunari / Mori, Kensaku et al. | 2020
- 1131317
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Identification of kernels in a convolutional neural network: connections between the level set equation and deep learning for image segmentationActor, Jonas A. / Fuentes, David T. / Rivière, Béatrice et al. | 2020
- 1131318
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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
- 1131319
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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
- 1131320
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Segmentation of choroid neovascularization in OCT images based on convolutional neural network with differential amplification blocksSu, Jinzhu / Chen, Xinjian / Ma, Yuhui / Zhu, Weifang / Shi, Fei et al. | 2020
- 1131321
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Automated retinopathy of prematurity screening using deep neural network with attention mechanismPeng, Yuanyuan / Zhu, Weifang / Chen, Feng / Xiang, Daoman / Chen, Xinjian et al. | 2020
- 1131322
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Estimating standard-dose PET from low-dose PET with deep learningLei, Yang / Dong, Xue / Wang, Tonghe / Higgins, Kristin / Liu, Tian / Curran, Walter J. / Mao, Hui / Nye, Jonathan A. / Yang, Xiaofeng et al. | 2020
- 1131323
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Internal-transfer weighting of multi-task learning for lung cancer detectionYang, Yiyuan / Gao, Riqiang / Tang, Yucheng / Antic, Sanja L. / Deppen, Steve / Huo, Yuankai / Sandler, Kim L. / Massion, Pierre P. / Landman, Bennett A. et al. | 2020
- 1131324
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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
- 1131325
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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
- 1131326
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Enhancing infarct segmentation performance using domain-specific attention in acute ischemic strokeV., Manikanda Krishnan / Kundeti, Srinivasa Rao / Shastry, Arun H. / Gorthi, Shankar Prasad et al. | 2020
- 1131327
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A grid-line suppression technique based on deep convolutional neural networksKim, Kyongwoo / Kim, Hyungkyu / Lee, Heesin / Jung, Joongeun / Nam, Joshua J. / Park, Joonhyuk / Kim, Donghyun / Kim, Hyewon / Kim, Hojoon et al. | 2020
- 1131328
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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
- 1131329
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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
- 1131331
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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
- 1131332
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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
- 1131333
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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