Proceedings Volume 10574 is from: Logo
SPIE MEDICAL IMAGING
10-15 February 2018
Houston, Texas, United States
Front Matter: Volume 10574
Proc. SPIE 10574, Front Matter: Volume 10574, 1057401 (8 May 2018); https://doi.org/10.1117/12.2315755
Brain: Shapes and Biomarkers
Proc. SPIE 10574, Sulcal depth-based cortical shape analysis in normal healthy control and schizophrenia groups, 1057402 (2 March 2018); https://doi.org/10.1117/12.2293275
Proc. SPIE 10574, Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines, 1057404 (2 March 2018); https://doi.org/10.1117/12.2293073
Proc. SPIE 10574, Imaging biomarkers for the diagnosis of Prion disease, 1057405 (2 March 2018); https://doi.org/10.1117/12.2293676
Proc. SPIE 10574, Constructing statistically unbiased cortical surface templates using feature-space covariance, 1057406 (2 March 2018); https://doi.org/10.1117/12.2293641
Deep Learning: Segmentation
Proc. SPIE 10574, Segmentation of anatomical structures in cardiac CTA using multi-label V-Net, 1057407 (2 March 2018); https://doi.org/10.1117/12.2293811
Proc. SPIE 10574, Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images, 1057408 (2 March 2018); https://doi.org/10.1117/12.2292731
Proc. SPIE 10574, Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks, 1057409 (2 March 2018); https://doi.org/10.1117/12.2293406
Proc. SPIE 10574, Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM, 105740A (2 March 2018); https://doi.org/10.1117/12.2293984
Proc. SPIE 10574, Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks, 105740B (2 March 2018); https://doi.org/10.1117/12.2293499
Proc. SPIE 10574, An effective fully deep convolutional neural networks for mitochondria segmentation based on ATUM-SEM, 105740C (2 March 2018); https://doi.org/10.1117/12.2293291
Image Enhancement
Proc. SPIE 10574, A log-Euclidean and total variation based variational framework for computational sonography, 105740D (2 March 2018); https://doi.org/10.1117/12.2292501
Proc. SPIE 10574, Visualization of coronary artery calcium in dual energy chest radiography using automatic rib suppression, 105740E (2 March 2018); https://doi.org/10.1117/12.2293007
Proc. SPIE 10574, Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing, 105740F (2 March 2018); https://doi.org/10.1117/12.2293125
Proc. SPIE 10574, Image enhancement method for digital mammography, 105740G (2 March 2018); https://doi.org/10.1117/12.2293604
Proc. SPIE 10574, Image reconstruction using priors from deep learning, 105740H (2 March 2018); https://doi.org/10.1117/12.2293766
Machine Learning
Proc. SPIE 10574, Automated abdominal plane and circumference estimation in 3D US for fetal screening, 105740I (2 March 2018); https://doi.org/10.1117/12.2292729
Proc. SPIE 10574, Left ventricle segmentation in 3D ultrasound by combining structured random forests with active shape models, 105740J (2 March 2018); https://doi.org/10.1117/12.2293544
Proc. SPIE 10574, Fine segmentation of tiny blood vessel based on full connected conditional random field, 105740K (2 March 2018); https://doi.org/10.1117/12.2293486
Proc. SPIE 10574, Automatic and fast CT liver segmentation using sparse ensemble with machine learned contexts, 105740L (2 March 2018); https://doi.org/10.1117/12.2292660
Proc. SPIE 10574, Nearest neighbor 3D segmentation with context features, 105740M (2 March 2018); https://doi.org/10.1117/12.2292181
Proc. SPIE 10574, Detecting multiple myeloma via generalized multiple-instance learning, 105740N (2 March 2018); https://doi.org/10.1117/12.2293112
Registration
Proc. SPIE 10574, A multilevel Markov Chain Monte Carlo approach for uncertainty quantification in deformable registration, 105740O (2 March 2018); https://doi.org/10.1117/12.2293588
Proc. SPIE 10574, Quadratic: quality of dice in registration circuits , 105740P (2 March 2018); https://doi.org/10.1117/12.2293642
Proc. SPIE 10574, Self-reference-based and during-registration detection of motion artifacts in spatio-temporal image data, 105740Q (2 March 2018); https://doi.org/10.1117/12.2293068
Proc. SPIE 10574, GPU-based stochastic-gradient optimization for non-rigid medical image registration in time-critical applications, 105740R (2 March 2018); https://doi.org/10.1117/12.2293098
Proc. SPIE 10574, Deformable image registration using convolutional neural networks, 105740S (2 March 2018); https://doi.org/10.1117/12.2292443
Keynote and Highlights
Proc. SPIE 10574, Foveal fully convolutional nets for multi-organ segmentation, 105740U (2 March 2018); https://doi.org/10.1117/12.2293528
Proc. SPIE 10574, A novel framework for the local extraction of extra-axial cerebrospinal fluid from MR brain images, 105740V (2 March 2018); https://doi.org/10.1117/12.2293116
Proc. SPIE 10574, A statistical model for image registration performance: effect of tissue deformation, 105740W (2 March 2018); https://doi.org/10.1117/12.2293638
fMRI and DTI
Proc. SPIE 10574, SHARD: spherical harmonic-based robust outlier detection for HARDI methods, 105740X (2 March 2018); https://doi.org/10.1117/12.2293727
Proc. SPIE 10574, Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder, 105740Y (2 March 2018); https://doi.org/10.1117/12.2293757
Proc. SPIE 10574, Tensor-based vs. matrix-based rank reduction in dynamic brain connectivity, 105740Z (2 March 2018); https://doi.org/10.1117/12.2293014
Proc. SPIE 10574, Extrapolated nonnegative decompositions for the analysis of functional connectivity, 1057410 (2 March 2018); https://doi.org/10.1117/12.2293369
Proc. SPIE 10574, Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI , 1057411 (2 March 2018); https://doi.org/10.1117/12.2293028
Proc. SPIE 10574, TRAFIC: fiber tract classification using deep learning, 1057412 (2 March 2018); https://doi.org/10.1117/12.2293931
Proc. SPIE 10574, Evaluation of inter-site bias and variance in diffusion-weighted MRI, 1057413 (2 March 2018); https://doi.org/10.1117/12.2293735
Motion
Proc. SPIE 10574, A novel filtering approach for 3D harmonic phase analysis of tagged MRI, 1057414 (2 March 2018); https://doi.org/10.1117/12.2293643
Proc. SPIE 10574, Feasibility of intra-acquisition motion correction for 4D DSA reconstruction for applications in the thorax and abdomen, 1057415 (2 March 2018); https://doi.org/10.1117/12.2293812
Proc. SPIE 10574, Deep-learning-based CT motion artifact recognition in coronary arteries, 1057416 (2 March 2018); https://doi.org/10.1117/12.2292882
Proc. SPIE 10574, Population-based respiratory 4D motion atlas construction and its application for VR simulations of liver punctures, 1057417 (2 March 2018); https://doi.org/10.1117/12.2293092
Proc. SPIE 10574, Sensitivity analysis of Jacobian determinant used in treatment planning for lung cancer, 1057418 (2 March 2018); https://doi.org/10.1117/12.2293920
Image Features
Proc. SPIE 10574, HoDOr: histogram of differential orientations for rigid landmark tracking in medical images, 1057419 (2 March 2018); https://doi.org/10.1117/12.2293083
Proc. SPIE 10574, Topological leakage detection and freeze-and-grow propagation for improved CT-based airway segmentation, 105741A (2 March 2018); https://doi.org/10.1117/12.2293309
Proc. SPIE 10574, Inter-scanner variation independent descriptors for constrained diffeomorphic demons registration of retina OCT, 105741B (2 March 2018); https://doi.org/10.1117/12.2293790
Proc. SPIE 10574, A temporal-frequency variant on robust-principle component analysis for segmentation of motile cilia in optical coherence tomography images (Conference Presentation), 105741C (); https://doi.org/10.1117/12.2293712
Proc. SPIE 10574, Classification of malignant and benign liver tumors using a radiomics approach, 105741D (2 March 2018); https://doi.org/10.1117/12.2293609
Proc. SPIE 10574, Quantitative phase and texture angularity analysis of brain white matter lesions in multiple sclerosis, 105741E (2 March 2018); https://doi.org/10.1117/12.2293595
Deep Learning: Lesions and Pathologies
Proc. SPIE 10574, MRI tumor segmentation with densely connected 3D CNN, 105741F (2 March 2018); https://doi.org/10.1117/12.2293394
Proc. SPIE 10574, Quantification of lung abnormalities in cystic fibrosis using deep networks, 105741G (2 March 2018); https://doi.org/10.1117/12.2292188
Proc. SPIE 10574, Deep learning for biomarker regression: application to osteoporosis and emphysema on chest CT scans, 105741H (2 March 2018); https://doi.org/10.1117/12.2293455
Proc. SPIE 10574, Microaneurysm detection using deep learning and interleaved freezing, 105741I (2 March 2018); https://doi.org/10.1117/12.2293520