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Medical Imaging 2019: Image Processing: San Diego, CA, USA
- Elsa D. Angelini, Bennett A. Landman:
Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019. SPIE Proceedings 10949, SPIE 2019
Image Reconstruction and Synthesis
- Frederic Madesta, Tobias Gauer, Thilo Sentker
, René Werner:
Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction. 1094902 - Qihui Lyu
Image-domain multi-material decomposition for dual-energy CT with non-convex sparsity regularization. 1094903 - Ali Pour Yazdanpanah, Onur Afacan, Simon K. Warfield
Non-learning based deep parallel MRI reconstruction (NLDpMRI). 1094904 - Yunhao Ge, Zhong Xue
Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning. 1094905 - Qihui Lyu
Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework. 1094906
Deep Learning: Segmentation
- Dongqing Zhang, Rueben A. Banalagay, Jianing Wang, Yiyuan Zhao
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 - Yucheng Tang, Yuankai Huo, Yunxi Xiong, Hyeonsoo Moon, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman:
Improving splenomegaly segmentation by learning from heterogeneous multi-source labels. 1094908 - Fengkai Wan, Örjan Smedby, Chunliang Wang:
Simultaneous MR knee image segmentation and bias field correction using deep learning and partial convolution. 1094909 - Samuel Remedios, Snehashis Roy
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. 109490A - Chen Shen, Fausto Milletari, Holger R. Roth
Improving V-Nets for multi-class abdominal organ segmentation. 109490B - Syed Ahmed Nadeem, Eric A. Hoffman
A fully automated CT-based airway segmentation algorithm using deep learning and topological leakage detection and branch augmentation approaches. 109490C
Image Enhancement and Modeling
- Neel Dey
Multi-modal image fusion for multispectral super-resolution in microscopy. 109490D - Jiaxing Tan, Yongfeng Gao, Yumei Huo, Lihong Li, Zhengrong Liang:
Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging. 109490E - Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li:
Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition. 109490F - Shih-Luen Wang, Seyed M. M. Kahaki
Artificial neural network filters for enhancing 3D optical microscopy images of neurites. 109490G - Parmeet S. Bhatia, Amit Kale, Zhigang Peng:
Volumetric texture modeling using dominant and discriminative binary patterns. 109490H
Brain: Shapes and Biomarkers
- Ishaan Batta, Nicolas Honnorat, Christos Davatzikos:
Regularized topological data analysis for extraction of coherent brain regions. 109490I - Lianrui Zuo, Shuo Han, Aaron Carass, Sarah H. Ying, Chiadikaobi U. Onyike, Jerry L. Prince:
Automatic quality control using hierarchical shape analysis for cerebellum parcellation. 109490J - Shuo Han, Yufan He, Aaron Carass, Sarah H. Ying, Jerry L. Prince:
Cerebellum parcellation with convolutional neural networks. 109490K - James Fishbaugh, Beatriz Paniagua, Mahmoud Mostapha, Martin Styner, Veronica Murphy, John H. Gilmore, Guido Gerig
Model selection for spatiotemporal modeling of early childhood sub-cortical development. 109490L
fMRI and DTI
- Anas Z. Abidin, Adora M. DSouza, Axel Wismüller:
Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality. 109490M - Jian Li, Jessica L. Wisnowski, Anand A. Joshi, Richard M. Leahy:
Brain network identification in asynchronous task fMRI data using robust and scalable tensor decomposition. 109490N - Vishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Colin B. Hansen, Roza G. Bayrak, Camilo Bermudez, Justin A. Blaber, Kurt G. Schilling
Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. 109490O - Biao Cai, Julia M. Stephen
Improved estimation of dynamic connectivity from resting-state fMRI data. 109490P - Heejong Kim
Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization. 109490Q
Keynote and Highlights
- Carola-Bibiane Schönlieb:
Deep learning for inverse imaging problems: some recent approaches (Conference Presentation). 109490R - Mauricio Orbes-Arteaga
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. 109490S - Michael D. Ketcha, Tharindu De Silva, Runze Han, Ali Uneri
Effect of statistical mismatch between training and test images for CNN-based deformable registration. 109490T - Amr S. Elsawy
Segmentation of corneal optical coherence tomography images using randomized Hough transform. 109490U
Machine Learning for Clinical Prediction
- Jorge Samper-González, Ninon Burgos
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data. 109490V - Zeynettin Akkus
Reduction of unnecessary thyroid biopsies using deep learning. 109490W - Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann
Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning. 109490X - Mirabela Rusu
Spatial integration of radiology and pathology images to characterize breast cancer aggressiveness on pre-surgical MRI. 109490Y - Azael de Melo e Sousa, Alexandre Xavier Falcão
A computational method to aid the detection and annotation of pleural lesions in CT images of the thorax. 109490Z
Classification
- Chinyere Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood:
Body part and imaging modality classification for a general radiology cognitive assistant. 1094910 - Hristina Uzunova, Jan Ehrhardt, Timo Kepp, Heinz Handels
Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders. 1094911 - Alexander M. Matheson, Dante P. I. Capaldi, Fumin Guo, Rachel L. Eddy, David G. McCormack, Grace Parraga:
Fourier decomposition free-breathing H MRI perfusion maps in asthma. 1094912 - Antong Chen, Dahai Xue, Tosha Shah, Catherine D. G. Hines, Alexa Gleason, Manishkumar Patel, Barbara Robinson, Britta Mattson, Belma Dogdas:
Localization and labeling of cervical vertebral bones in the micro-CT images of rabbit fetuses using a 3D deep convolutional neural network. 1094913 - Volker Dicken, Annika Hänsch
Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations. 1094914
Cardiac Imaging
- Mike van Zon, Mitko Veta, Shuo Li
Automatic cardiac landmark localization by a recurrent neural network. 1094916 - Yuankai Huo, James G. Terry
Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning. 1094917 - Sandro F. Queiros
Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces. 1094918 - Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. 1094919 - Tanveer F. Syeda-Mahmood, Hui Tang:
Automatic identification of coronary arteries and viewpoints in 2D x-ray angiography using deep learning (Conference Presentation). 109491A
Registration and Motion
- Alessa Hering, Stefan Heldmann:
Unsupervised learning for large motion thoracic CT follow-up registration. 109491B - Koen A. J. Eppenhof
Progressively growing convolutional networks for end-to-end deformable image registration. 109491C - Seyed M. M. Kahaki
Accurate registration of in vivo time-lapse images. 109491D - Batool Abbas
Analysis of the kinematic motion of the wrist from 4D magnetic resonance imaging. 109491E - Pedro Morais
Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior. 109491F - Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao
Lung cancer detection using co-learning from chest CT images and clinical demographics. 109491G
Deep Learning: Lesions and Pathologies
- Hans E. Atlason, Áskell Löve, Sigurdur Sigurdsson, Vilmundur Gudnason, Lotta Maria Ellingsen
Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder. 109491H - Hailan Jin, Yin Yin, Minghui Hu, Guangming Yang, Lan Qin:
Fully automated unruptured intracranial aneurysm detection and segmentation from digital subtraction angiography series using an end-to-end spatiotemporal deep neural network. 109491I - Frank Zijlstra
CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network. 109491J - Saeedeh Afshari, Aïcha BenTaieb, Zahra Mirikharaji, Ghassan Hamarneh
Weakly supervised fully convolutional network for PET lesion segmentation. 109491K - Jin Zhu, Guang Yang, Pietro Lió
Lesion focused super-resolution. 109491L
OCT and Microscopy
- Geoffrey F. Schau, Guillaume Thibault, Mark A. Dane, Joe W. Gray, Laura M. Heiser, Young Hwan Chang
Variational autoencoding tissue response to microenvironment perturbation. 109491M - Friso G. Heslinga
Approximation of a pipeline of unsupervised retina image analysis methods with a CNN. 109491N - Amr S. Elsawy
Segmentation of corneal optical coherence tomography images using Graph Search and Radon transform. 109491O - Mirabela Rusu
Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy. 109491P - Mengjie Fang
Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning. 109491Q - Pedro Furtado
Objects characterization-based approach to enhance detection of degree of malignancy in breast cancer histopathology. 109491R
Poster Session
- Sandra Schultz, Julia Krüger
Bayesian inference for uncertainty quantification in point-based deformable image registration. 109491S - Anass Nouri
3D bifurcations characterization for intra-cranial aneurysms prediction. 109491T - Yao Lu, James K. Hahn:
Shape-based three-dimensional body composition extrapolation using multimodality registration. 109491U - Mariëlle J. A. Jansen
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. 109491V - Junyu Chen, Abhinav K. Jha
Incorporating CT prior information in the robust fuzzy C-means algorithm for QSPECT image segmentation. 109491W - Yan Yang, Osama Masoud:
Automatic two-chamber segmentation in cardiac CTA using 3D fully convolutional neural networks. 109491X - Congcong Wang, Ahmed Kedir Mohammed, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle:
Multiscale deep desmoking for laparoscopic surgery. 109491Y - Kees M. van Hespen, Jaco J. M. Zwanenburg, Jeroen Hendrikse, Hugo J. Kuijf:
Subvoxel vessel wall thickness measurements from vessel wall MR images. 109491Z - Xuena Cheng, Xinjian Chen
Choroid segmentation in OCT images based on improved U-net. 1094921 - Camilo Bermudez, William Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. D'Haese, Peter E. Konrad
Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps. 1094922 - Lei Wang, Han Liu, Jian Zhang, Hang Chen, Jiantao Pu:
Automated segmentation of the optic disc using the deep learning. 1094923 - Xuewei Zha, Fei Shi, Yuhui Ma, Weifang Zhu, Xinjian Chen
Generation of retinal OCT images with diseases based on cGAN. 1094924 - Julia Krüger
A probabilistic approach for the registration of images with missing correspondences. 1094925 - Geng Chen, Dehui Xiang
Active shape dictionary for automatic segmentation of pathological lung in low-dose CT image. 1094926 - Sayan Ghosal
A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia. 1094927 - Artem Sevastopolsky, Stepan Drapak, Konstantin Kiselev, Blake M. Snyder, Jeremy D. Keenan, Anastasia Georgievskaya:
Stack-U-Net: refinement network for improved optic disc and cup image segmentation. 1094928 - Tanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Andreas K. Maier, Rebecca Fahrig:
Left ventricle segmentation in LGE-MRI using multiclass learning. 1094929 - Yuhe Shen, Liling Guan, Kai Yu, Xinjian Chen
A CNN based retinal regression model for Bruch's membrane opening detection. 109492A - Jaedong Hwang, Sanghyeok Park, Seokjin Lee, Yeong-Gil Shin:
Robust harmonic field based tooth segmentation in real-life noisy scanned mesh. 109492B - Nils Gessert
Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization. 109492C - Haihong Tian, Geng Chen, Dehui Xiang
Simultaneous and automatic two surface detection of renal cortex in 3D CT images by enhanced sparse shape composition. 109492D - Anand A. Joshi, Jian Li, Haleh Akrami, Richard M. Leahy:
Predicting cognitive scores from resting fMRI data and geometric features of the brain. 109492E - Hao-jie Zheng, Xiaopan Xu, Xi Zhang, Hongbing Lu, Jimin Liang
The segmentation of bladder cancer using the voxel-features-based method. 109492F - Marko Panic, Jan Aelterman, Vladimir S. Crnojevic
Multi-coil magnetic resonance imaging reconstruction with a Markov random field prior. 109492G - Youngtaek Hong, Frederic Commandeur, Sebastien Cadet, Markus Goeller, Mhairi Doris, Xi Chen
Deep learning-based stenosis quantification from coronary CT angiography. 109492I - Joost van der Putten, Fons van der Sommen
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function. 109492J - Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier:
Projection image-to-image translation in hybrid x-ray/MR imaging. 109492K - Hui Meng
Deep learning based classification for metastasis of hepatocellular carcinoma with microscopic images. 109492L - Steffen Bruns, Jelmer M. Wolterink
Improving myocardium segmentation in cardiac CT angiography using spectral information. 109492M - Jun Ma
Automatic dental root CBCT image segmentation based on CNN and level set method. 109492N - Simone Bendazzoli
Automatic rat brain segmentation from MRI using statistical shape models and random forest. 109492O - Umair Javaid, Damien Dasnoy, John A. Lee
Semantic segmentation of computed tomography for radiotherapy with deep learning: compensating insufficient annotation quality using contour augmentation. 109492P - Lin Tian, Rong Yuan:
An automatic end-to-end pipeline for CT image-based EGFR mutation status classification. 109492Q - Dushyant Sahoo
Sparse low-dimensional causal modeling for the analysis of brain function. 109492R - Bo Wang, Yang Lei
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN. 109492S - Yang Lei
MRI-based synthetic CT generation using deep convolutional neural network. 109492T - Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao
Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network. 109492U - Yunxi Xiong, Yuankai Huo, Jiachen Wang, Larry Taylor Davis, Maureen McHugo, Bennett A. Landman:
Reproducibility evaluation of SLANT whole brain segmentation across clinical magnetic resonance imaging protocols. 109492V - Haleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy:
Group-wise alignment of resting fMRI in space and time. 109492W - Arnaud Brignol, Farida Cheriet, Catherine Laporte:
A robust index for global tissue deformation analysis in ultrasound images. 109492X - Shuo Han, Soonam Lee
Nuclei counting in microscopy images with three dimensional generative adversarial networks. 109492Y - Janne J. Näppi
Cycle-consistent 3D-generative adversarial network for virtual bowel cleansing in CT colonography. 109492Z - Cheng Li, Arash Pourtaherian, Walther E. Tjon a Ten, Peter H. N. de With:
Robust discomfort detection for infants using an unsupervised roll estimation. 1094930 - Juan Pedro Vigueras-Guillén
Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networks. 1094931 - Yuwen Zhang
Pulmonary lobar segmentation from computed tomography scans based on a statistical finite element analysis of lobe shape. 1094932 - Liling Guan, Kai Yu, Xinjian Chen
Fully automated detection and quantification of multiple retinal lesions in OCT volumes based on deep learning and improved DRLSE. 1094933 - Shuxiu Cai, Xiaxia Yu, Qiaochu Zhang, Chuan Huang
Is hippocampus getting bumpier with age: a quantitative analysis of fine-scale dentational feature under the hippocampus on 552 healthy subjects. 1094935 - Vidya M. S.
Local and global transformations to improve learning of medical images applied to chest radiographs. 1094936 - Hong Joo Lee, Hak Gu Kim, Hyenok Park, Dongkuk Shin, Yong Man Ro
Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound image. 1094937 - Mateusz C. Florkow, Frank Zijlstra
The impact of MRI-CT registration errors on deep learning-based synthetic CT generation. 1094938 - Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke
Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. 1094939 - Hyeonjin Kim, Helen Hong, Kidon Chang, Koon Ho Rha:
Renal parenchyma segmentation from abdominal CT images using multi-atlas method with intensity and shape constraints. 109493A - Hao-Jen Wang
Discrimination of benign and malignant pulmonary tumors in computed tomography: effective priori information of fast learning network architecture. 109493B - Mia Mojica, Mihaela Pop, Maxime Sermesant
Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine hearts. 109493C - Min Jin Lee, Helen Hong, Kyu Won Shim, Seongeun Park:
Orbital bone segmentation in head and neck CT images using multi-gray level fully convolutional networks. 109493D - Anqi Wang, Andreas Franke, Stefan Wesarg:
Semi-automatic segmentation of JIA-induced inflammation in MRI images of ankle joints. 109493E - Ze Jin, Jayaram K. Udupa, Drew A. Torigian:
Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images. 109493G - Jacob C. Reinhold, Blake E. Dewey, Aaron Carass, Jerry L. Prince:
Evaluating the impact of intensity normalization on MR image synthesis. 109493H - P. Ojeda, M. Zawaideh, Mahmud Mossa-Basha
The utility of deep learning: evaluation of a convolutional neural network for detection of intracranial bleeds on non-contrast head computed tomography studies. 109493J - Alexander Schmidt-Richberg, Nicole Schadewaldt, Tobias Klinder, Matthias Lenga, Robert Trahms, Earl Canfield, David Roundhill, Cristian Lorenz:
Offset regression networks for view plane estimation in 3D fetal ultrasound. 109493K
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