PROCEEDINGS VOLUME 10949
SPIE MEDICAL IMAGING | 16-21 FEBRUARY 2019
Medical Imaging 2019: Image Processing
Proceedings Volume 10949 is from: Logo
SPIE MEDICAL IMAGING
16-21 February 2019
San Diego, California, United States
Image Reconstruction and Synthesis
Proc. SPIE 10949, Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction, 1094902 (15 March 2019); doi: 10.1117/12.2512980
Proc. SPIE 10949, Image-domain multi-material decomposition for dual-energy CT with non-convex sparsity regularization, 1094903 (15 March 2019); doi: 10.1117/12.2508037
Proc. SPIE 10949, Non-learning based deep parallel MRI reconstruction (NLDpMRI), 1094904 (15 March 2019); doi: 10.1117/12.2511653
Proc. SPIE 10949, Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning, 1094905 (15 March 2019); doi: 10.1117/12.2512479
Proc. SPIE 10949, Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework, 1094906 (15 March 2019); doi: 10.1117/12.2512484
Deep Learning: Segmentation
Proc. SPIE 10949, Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training data, 1094907 (15 March 2019); doi: 10.1117/12.2512529
Proc. SPIE 10949, Improving splenomegaly segmentation by learning from heterogeneous multi-source labels, 1094908 (15 March 2019); doi: 10.1117/12.2512842
Proc. SPIE 10949, Simultaneous MR knee image segmentation and bias field correction using deep learning and partial convolution, 1094909 (15 March 2019); doi: 10.1117/12.2512950
Proc. SPIE 10949, Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury, 109490A (15 March 2019); doi: 10.1117/12.2511997
Proc. SPIE 10949, Improving V-Nets for multi-class abdominal organ segmentation, 109490B (15 March 2019); doi: 10.1117/12.2512790
Proc. SPIE 10949, A fully automated CT-based airway segmentation algorithm using deep learning and topological leakage detection and branch augmentation approaches, 109490C (15 March 2019); doi: 10.1117/12.2512286
Image Enhancement and Modeling
Proc. SPIE 10949, Multi-modal image fusion for multispectral super-resolution in microscopy, 109490D (15 March 2019); doi: 10.1117/12.2512598
Proc. SPIE 10949, Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging, 109490E (15 March 2019); doi: 10.1117/12.2512894
Proc. SPIE 10949, Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition, 109490F (15 March 2019); doi: 10.1117/12.2513158
Proc. SPIE 10949, Artificial neural network filters for enhancing 3D optical microscopy images of neurites, 109490G (15 March 2019); doi: 10.1117/12.2512989
Proc. SPIE 10949, Volumetric texture modeling using dominant and discriminative binary patterns, 109490H (15 March 2019); doi: 10.1117/12.2512296
Brain: Shapes and Biomarkers
Proc. SPIE 10949, Regularized topological data analysis for extraction of coherent brain regions, 109490I (15 March 2019); doi: 10.1117/12.2512524
Proc. SPIE 10949, Automatic quality control using hierarchical shape analysis for cerebellum parcellation, 109490J (15 March 2019); doi: 10.1117/12.2512805
Proc. SPIE 10949, Cerebellum parcellation with convolutional neural networks, 109490K (15 March 2019); doi: 10.1117/12.2512119
Proc. SPIE 10949, Model selection for spatiotemporal modeling of early childhood sub-cortical development, 109490L (15 March 2019); doi: 10.1117/12.2513030
fMRI and DTI
Proc. SPIE 10949, Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality, 109490M (15 March 2019); doi: 10.1117/12.2513023
Proc. SPIE 10949, Brain network identification in asynchronous task fMRI data using robust and scalable tensor decomposition, 109490N (15 March 2019); doi: 10.1117/12.2512684
Proc. SPIE 10949, Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators , 109490O (15 March 2019); doi: 10.1117/12.2512902
Proc. SPIE 10949, Improved estimation of dynamic connectivity from resting-state fMRI data, 109490P (15 March 2019); doi: 10.1117/12.2512976
Proc. SPIE 10949, Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization, 109490Q (15 March 2019); doi: 10.1117/12.2512830
Keynote and Highlights
Proc. SPIE 10949, Deep learning for inverse imaging problems: some recent approaches (Conference Presentation), 109490R (14 March 2019); doi: 10.1117/12.2519510
Proc. SPIE 10949, PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation, 109490S (15 March 2019); doi: 10.1117/12.2512520
Proc. SPIE 10949, Effect of statistical mismatch between training and test images for CNN-based deformable registration, 109490T (15 March 2019); doi: 10.1117/12.2512824
Proc. SPIE 10949, Segmentation of corneal optical coherence tomography images using randomized Hough transform, 109490U (15 March 2019); doi: 10.1117/12.2512865
Machine Learning for Clinical Prediction
Proc. SPIE 10949, Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data, 109490V (15 March 2019); doi: 10.1117/12.2512430
Proc. SPIE 10949, Reduction of unnecessary thyroid biopsies using deep learning, 109490W (15 March 2019); doi: 10.1117/12.2512574
Proc. SPIE 10949, Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning, 109490X (15 March 2019); doi: 10.1117/12.2512400
Proc. SPIE 10949, Spatial integration of radiology and pathology images to characterize breast cancer aggressiveness on pre-surgical MRI, 109490Y (15 March 2019); doi: 10.1117/12.2512670
Proc. SPIE 10949, A computational method to aid the detection and annotation of pleural lesions in CT images of the thorax, 109490Z (15 March 2019); doi: 10.1117/12.2513049
Classification
Proc. SPIE 10949, Body part and imaging modality classification for a general radiology cognitive assistant, 1094910 (15 March 2019); doi: 10.1117/12.2513074
Proc. SPIE 10949, Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders, 1094911 (15 March 2019); doi: 10.1117/12.2511964
Proc. SPIE 10949, Fourier decomposition free-breathing 1H MRI perfusion maps in asthma, 1094912 (15 March 2019); doi: 10.1117/12.2512436
Proc. SPIE 10949, Localization and labeling of cervical vertebral bones in the micro-CT images of rabbit fetuses using a 3D deep convolutional neural network, 1094913 (15 March 2019); doi: 10.1117/12.2513108
Proc. SPIE 10949, Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations, 1094914 (15 March 2019); doi: 10.1117/12.2512750
Cardiac Imaging
Proc. SPIE 10949, Automatic cardiac landmark localization by a recurrent neural network, 1094916 (15 March 2019); doi: 10.1117/12.2512048
Proc. SPIE 10949, Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning, 1094917 (15 March 2019); doi: 10.1117/12.2512541
Proc. SPIE 10949, Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces, 1094918 (15 March 2019); doi: 10.1117/12.2512777
Proc. SPIE 10949, Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI, 1094919 (15 March 2019); doi: 10.1117/12.2511699
Proc. SPIE 10949, Automatic identification of coronary arteries and viewpoints in 2D x-ray angiography using deep learning (Conference Presentation), 109491A (14 March 2019); doi: 10.1117/12.2513170
Registration and Motion
Proc. SPIE 10949, Unsupervised learning for large motion thoracic CT follow-up registration, 109491B (15 March 2019); doi: 10.1117/12.2506962
Proc. SPIE 10949, Progressively growing convolutional networks for end-to-end deformable image registration, 109491C (15 March 2019); doi: 10.1117/12.2512428
Proc. SPIE 10949, Accurate registration of in vivo time-lapse images, 109491D (15 March 2019); doi: 10.1117/12.2512257
Proc. SPIE 10949, Analysis of the kinematic motion of the wrist from 4D magnetic resonance imaging, 109491E (15 March 2019); doi: 10.1117/12.2513131