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ORCIDImage Processing 2019: 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, Daniel O'Connor, Tianye Niu, Ke Sheng:
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, Tuoyu Cao, Shu Liao:
Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning. 1094905 - Qihui Lyu, Dan Ruan, John M. Hoffman, Ryan Neph, Michael F. McNitt-Gray, Ke Sheng:
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, Jack H. Noble, Benoit M. Dawant:
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, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. 109490A - Chen Shen, Fausto Milletari, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
Improving V-Nets for multi-class abdominal organ segmentation. 109490B - Syed Ahmed Nadeem, Eric A. Hoffman, Punam K. Saha:
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, Shijie Li, Katharina Bermond, Rainer Heintzmann, Christine A. Curcio, Thomas Ach, Guido Gerig:
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, Armen Stepanyants:
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, Vaibhav A. Janve, Yurui Gao, Yuankai Huo, Ilwoo Lyu, Owen A. Williams, Susan M. Resnick, Lori L. Beason-Held, Baxter P. Rogers, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman:
Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. 109490O - Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Improved estimation of dynamic connectivity from resting-state fMRI data. 109490P - Heejong Kim, Joseph Piven, Guido Gerig:
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, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai:
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. 109490S - Michael D. Ketcha, Tharindu De Silva, Runze Han, Ali Uneri, Sebastian Vogt, Gerhard Kleinszig, Jeffrey H. Siewerdsen:
Effect of statistical mismatch between training and test images for CNN-based deformable registration. 109490T - Amr S. Elsawy, Mohamed Abdel-Mottaleb, Mohamed Abou Shousha:
Segmentation of corneal optical coherence tomography images using randomized Hough transform. 109490U
Machine Learning for Clinical Prediction
- Jorge Samper-González, Ninon Burgos, Simona Bottani, Marie Odile Habert, Theodoros Evgeniou, Stéphane Epelbaum, Olivier Colliot:
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data. 109490V - Zeynettin Akkus, Arunnit Boonrod, Mahfuzur R. Siddiquee, Kenneth A. Philbrick, Marius N. Stan, Regina M. Castro, Dana Erickson, Matthew R. Callstrom, Bradley J. Erickson:
Reduction of unnecessary thyroid biopsies using deep learning. 109490W - Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum:
Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning. 109490X - Mirabela Rusu, Bruce Daniel, Robert B. West:
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, Ericson Bagatin, Gustavo Souza Meirelles:
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, Jan Hendrik Moltz, Benjamin Haas, Thomas Coradi, Tomasz Morgas, Jan Klein:
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, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, John Jeffrey Carr, Bennett A. Landman:
Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning. 1094917 - Sandro F. Queiros, Pedro Morais, Jaime C. Fonseca, Jan D'hooge, João L. Vilaça:
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, Ivana Isgum:
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, Maxime W. Lafarge, Josien P. W. Pluim:
Progressively growing convolutional networks for end-to-end deformable image registration. 109491C - Seyed M. M. Kahaki, Shih-Luen Wang, Armen Stepanyants:
Accurate registration of in vivo time-lapse images. 109491D - Batool Abbas, James Fishbaugh, Catherine Petchprapa, Riccardo Lattanzi, Guido Gerig:
Analysis of the kinematic motion of the wrist from 4D magnetic resonance imaging. 109491E - Pedro Morais, Sandro F. Queiros, Carla Pereira, António H. J. Moreira, Maria J. Baptista, Nuno F. Rodrigues, Jan D'hooge, Daniel Barbosa, João L. Vilaça:
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, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman:
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, Koen Willemsen, Mateusz C. Florkow, Ralph J. B. Sakkers, Harrie H. Weinans, Bart C. H. van der Wal, Marijn van Stralen, Peter R. Seevinck:
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, Josien P. W. Pluim, Behdad Dashtbozorg, Tos T. J. M. Berendschot, A. J. H. M. Houben, Ronald M. A. Henry, Mitko Veta:
Approximation of a pipeline of unsupervised retina image analysis methods with a CNN. 109491N - Amr S. Elsawy, Mohamed Abdel-Mottaleb, Mohamed Abou Shousha:
Segmentation of corneal optical coherence tomography images using Graph Search and Radon transform. 109491O - Mirabela Rusu, Christian Kunder, Richard E. Fan, Pejman Ghanouni, Robert B. West, Geoffrey A. Sonn, James D. Brooks:
Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy. 109491P - Mengjie Fang, Wenjuan Zhang, Di Dong, Junlin Zhou, Jie Tian:
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, Heinz Handels, Jan Ehrhardt:
Bayesian inference for uncertainty quantification in point-based deformable image registration. 109491S - Anass Nouri, Florent Autrusseau, Romain Bourcier, Alban Gaignard, Vincent L'Allinec, Celine Menguy, Joëlle Veziers, Hubert Desal, Gervaise Loirand, Richard Redon:
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, Hugo J. Kuijf, Josien P. W. Pluim:
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. 109491V - Junyu Chen, Abhinav K. Jha, Eric C. Frey:
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, Yuhui Ma, Weifang Zhu, Ying Fan, Fei Shi:
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, Benoit M. Dawant, Bennett A. Landman:
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, Jan Ehrhardt, Sandra Schultz, Heinz Handels:
A probabilistic approach for the registration of images with missing correspondences. 1094925 - Geng Chen, Dehui Xiang, Haihong Tian, Bin Zhang, Weifang Zhu, Fei Shi, Xinjian Chen:
Active shape dictionary for automatic segmentation of pathological lung in low-dose CT image. 1094926 - Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman:
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, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer:
Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization. 109492C - Haihong Tian, Geng Chen, Dehui Xiang, Xinjian Chen:
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, Yang Liu:
The segmentation of bladder cancer using the voxel-features-based method. 109492F - Marko Panic, Jan Aelterman, Vladimir S. Crnojevic, Aleksandra Pizurica:
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, Jacek Kwiecinski, Daniel S. Berman, Piotr J. Slomka, Hyuk-Jae Chang, Damini Dey:
Deep learning-based stenosis quantification from coronary CT angiography. 109492I - Joost van der Putten, Fons van der Sommen, Maarten R. Struyvenberg, Jeroen de Groof, Wouter L. Curvers, Erik J. Schoon, Jacques J. G. H. M. Bergman, Peter H. N. de With:
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, Yuan Gao, Kun Wang, Jie Tian:
Deep learning based classification for metastasis of hepatocellular carcinoma with microscopic images. 109492L - Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum:
Improving myocardium segmentation in cardiac CT angiography using spectral information. 109492M - Jun Ma, Xiaoping Yang:
Automatic dental root CBCT image segmentation based on CNN and level set method. 109492N - Simone Bendazzoli, Irene Brusini, Peter Damberg, Örjan Smedby, Leif Andersson, Chunliang Wang:
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, Nicolas Honnorat, Christos Davatzikos:
Sparse low-dimensional causal modeling for the analysis of brain function. 109492R - Bo Wang, Yang Lei, Tonghe Wang, Xue Dong, Sibo Tian, Xiaojun Jiang, Ashesh B. Jani, Tian Liu, Walter J. Curran, Pretesh Patel, Xiaofeng Yang:
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN. 109492S - Yang Lei, Tonghe Wang, Yingzi Liu, Kristin Higgins, Sibo Tian, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang:
MRI-based synthetic CT generation using deep convolutional neural network. 109492T - Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman:
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, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Nuclei counting in microscopy images with three dimensional generative adversarial networks. 109492Y - Janne J. Näppi, Hiroyuki Yoshida:
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, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer, Lucas J. van Vliet:
Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networks. 1094931 - Yuwen Zhang, Mahyar Osanlouy, Alys R. Clark, Hari Kumar, Clair King, Margaret L. Wilsher, David G. Milne, Eric A. Hoffman, Merryn H. Tawhai:
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, Yi Gao:
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., Manikanda Krishnan V., Anirudh G., Srinivasa Rao Kundeti, J. Vijayananda:
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, Linda G. W. Kerkmeijer, Matteo Maspero, Cornelis A. T. van den Berg, Marijn van Stralen, Peter R. Seevinck:
The impact of MRI-CT registration errors on deep learning-based synthetic CT generation. 1094938 - Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten:
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, Leng-Rong Chen, Li-Wei Chen, Yi-Chang Chen, Shun-Mao Yang, Mong-Wei Lin, Joseph Chang, Chia-Chen Li, Chia-Yen Lee, Jin-Shing Chen, Yeun-Chung Chang, Chung-Ming Chen:
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, Mehran Ebrahimi:
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, David R. Haynor:
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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