Town and Country Resort & Convention Center
San Diego, California, United States
16 - 21 February 2019
Conference 10949
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Image Processing
Tuesday - Thursday 19 - 21 February 2019
Conference
Committee
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Conference Chairs
Program Committee
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  • Murray H. Loew, The George Washington Univ. (United States)
  • Cristian Lorenz, Philips Research (Germany)
  • Frederik Maes, Katholieke Univ. Leuven (Belgium)
  • Vincent A. Magnotta, The Univ. of Iowa Hospitals and Clinics (United States)
  • Rashindra Manniesing, Radboud Univ. Medical Ctr. (Netherlands)
  • Diana Mateus, Ecole Centrale de Nantes (France)
  • Sunanda D. Mitra, Texas Tech Univ. (United States)
  • Marc Modat, King's College London (United Kingdom)
  • Albert Montillo, Univ. of Texas Southwestern Medical Ctr. (United States)
  • Kensaku Mori, Nagoya Univ. (Japan)
  • Nassir Navab, Technische Univ. München (Germany), Johns Hopkins Univ. (United States)
  • Mads Nielsen, Niels Bohr Institute (Denmark)
  • Brian Nutter, Texas Tech Univ. (United States)
  • Dzung L. Pham, Henry Jackson Foundation/USU (United States), National Institutes of Health (United States), Johns Hopkins Univ. (United States)
  • Jerry L. Prince, Johns Hopkins Univ. (United States)
  • Xin Qi, Rutgers, The State Univ. of New Jersey (United States)
  • Punam K. Saha, The Univ. of Iowa (United States)
  • Olivier Salvado, Commonwealth Scientific and Industrial Research Organisation (Australia)
  • Emine Saritas, Bilkent Univ. (Turkey)
  • Lin Shi, The Chinese Univ. of Hong Kong (China)
  • Marius Staring, Leiden Univ. Medical Ctr. (Netherlands)
  • Martin A. Styner, The Univ. of North Carolina at Chapel Hill (United States)
  • Kenji Suzuki, Illinois Institute of Technology (United States)
  • Raphael Sznitman, Univ. Bern (Switzerland)
  • Jayaram K. Udupa, Univ. of Pennsylvania (United States)
  • Koen Van Leemput, Harvard Medical School (United States), Massachusetts General Hospital (United States)
  • Tom K. Vercauteren, King's College London (United Kingdom)
  • Tomaž Vrtovec, Univ. of Ljubljana (Slovenia)
  • Wolfgang Wein, ImFusion GmbH (Germany)

Tuesday 19 February Show All Abstracts
Session 1:
Image Reconstruction and Synthesis
Tuesday 19 February 2019
8:00 AM - 9:40 AM
Session Chairs:
Jerry L. Prince, Johns Hopkins Univ. (United States) ;
Marius Staring, Leiden Univ. Medical Ctr. (Netherlands)
Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction
Paper 10949-1
Author(s): Frederic Madesta, Tobias Gauer, Thilo Sentker, René Werner, Universitätsklinikum Hamburg-Eppendorf (Germany)
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Image-domain multi-material decomposition for dual energy CT with non-convex sparsity regularization
Paper 10949-2
Author(s): Qihui Lyu, Daniel O'Connor, Univ. of California, Los Angeles (United States); Tianye Niu, Institute of Translational Medicine, Zhejiang Univ. School of Medicine (China); Ke Sheng, Univ. of California, Los Angeles (United States)
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Non-learning based deep parallel MRI reconstruction (NLDpMRI)
Paper 10949-3
Author(s): Ali Pour Yazdanpanah, Harvard Medical School (United States), Boston Children's Hospital (United States)
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Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning
Paper 10949-4
Author(s): Yunhao Ge, Robotics Institute of Shanghai Jiao Tong Univ. (China), Shanghai United Imaging Intelligence Co., Ltd. (China); Zhong Xue, Shanghai United Imaging Intelligence Co., Ltd. (China); Tuoyu Cao, Shanghai United Imaging Co., Ltd (China); Shu Liao, Shanghai United Imaging Intelligence Co. (China)
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Iterative reconstruction for low dose CT using Plug-and-Play ADMM framework
Paper 10949-5
Author(s): Qihui Lyu, Dan Ruan, John Marian Hoffman, Ryan Neph, Michael McNitt-Gray, Ke Sheng, Univ. of California, Los Angeles (United States)
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Session 2:
Deep Learning: Segmentation
Tuesday 19 February 2019
10:10 AM - 12:10 PM
Session Chairs:
Tomaž Vrtovec, Univ. of Ljubljana (Slovenia) ;
Punam Kumar Saha, The Univ. of Iowa (United States)
Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CT with limited ground truth training data
Paper 10949-6
Author(s): Dongqing Zhang, Rueben Banalagay, Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant, Vanderbilt Univ. (United States)
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Improving splenomegaly segmentation by learning from heterogeneous multi-source labels
Paper 10949-7
Author(s): Yucheng Tang, Yuankai Huo, Yunxi Xiong, Hyeonsoo Moon, Vanderbilt Univ. (United States); Albert Assad, Incyte Corp. (United States); Tamara K. Moyo, Michael R. Savona, Richard Abramson, Vanderbilt Univ. Medical Ctr. (United States); Bennett A. Landman, Vanderbilt Univ. (United States)
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Simultaneous MR knee image segmentation and bias field correction using deep learning and partial convolution
Paper 10949-8
Author(s): Fengkai Wan, Örjan Smedby, Chunliang Wang, KTH Royal Institute of Technology (Sweden)
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Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury
Paper 10949-9
Author(s): Samuel Remedios, Ctr. for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation (United States), Radiology and National Institutes of Health Clinical Ctr. (United States), Middle Tennessee State Univ. (United States); Snehashis Roy, Ctr. for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation (United States), National Institutes of Health Clinical Ctr. (United States); Justin Blaber, Camilo Bermudez, Vishwesh Nath, Vanderbilt Univ. (United States); Mayur B. Patel, Ctr. for Health Services Research, Vanderbilt Univ. Medical Ctr. (United States), Ctr. for Critical Illness, Brain Dysfunction, and Survivorship, Vanderbilt Univ. Medical Ctr. (United States), Tennessee Valley Healthcare System VA Medical Ctr. (United States); John A. Butman, National Institutes of Health Clinical Ctr. (United States); Bennett A. Landman, Vanderbilt Univ. (United States); Dzung L. Pham, Ctr. for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation (United States), National Institutes of Health Clinical Ctr. (United States)
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Multi-class abdominal organs segmentation with improved V-Nets
Paper 10949-10
Author(s): Chen Shen, Nagoya Univ. (Japan); Fausto Milletari, NVIDIA Corp. (United States); Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Nagoya Univ. (Japan); Kazunari Misawa, Aichi Cancer Ctr. (Japan); Kensaku Mori, Nagoya Univ. (Japan)
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A fully automated CT-based airway segmentation algorithm using deep learning and topological leakage detection and branch augmentation approaches
Paper 10949-11
Author(s): Syed Ahmed Nadeem, Eric A. Hoffman, Punam K. Saha, The Univ. of Iowa (United States)
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Tuesday/Wednesday Poster Viewing
Tuesday 19 February 2019
12:00 PM - 9:00 PM

Posters will be on display Tuesday and Wednesday with extended viewing until 9:00 pm on Tuesday. The poster session with authors in attendance will be Wednesday evening from 5:30 to 7:00 pm. Award winners will be identified with ribbons during the reception. Award announcement times are listed in the conference schedule.
Lunch Break 12:10 PM - 1:20 PM
Session 3:
Image Enhancement and Modeling
Tuesday 19 February 2019
1:20 PM - 3:00 PM
Session Chairs:
Murray H. Loew, The George Washington Univ. (United States) ;
Alexandre X. Falcão, Univ. Estadual de Campinas (Brazil)
Multi-modal image fusion for multispectral super-resolution in microscopy
Paper 10949-12
Author(s): Neel Dey, Shijie Li, NYU Tandon School of Engineering (United States); Katharina Bermond, Universitätsklinikum Würzburg (Germany); Rainer Heintzmann, Friedrich-Schiller-Univ. Jena (Germany); Christine A. Curcio, The Univ. of Alabama at Birmingham (United States); Thomas Ach, Universitätsklinikum Würzburg (Germany); Guido Gerig, NYU Tandon School of Engineering (United States)
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Sharpness preserved sinogram synthesis using convolutional neural network for sparsely-view CT imaging
Paper 10949-13
Author(s): Jiaxing Tan, The Graduate Ctr., CUNY (United States), Stony Brook Univ. (United States), The City Univ. of New York (United States); Zhengrong Liang, Yongfeng Gao, The State Univ. of New York (United States); Yumei Huo, The Graduate Ctr., CUNY (United States), College of Staten Island (United States), The City Univ. of New York (United States); Lihong Li, College of Staten Island (United States), The City Univ. of New York (United States)
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Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition
Paper 10949-14
Author(s): Pak Lun Kevin Ding, Arizona State Univ. (United States); Zhiqiang Li, Barrow Neurological Institute (United States); Yuxiang Zhou, Mayo Clinic (United States); Baoxin Li, Arizona State Univ. (United States)
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Artificial neural network filters for enhancing 3D optical microscopy images of neurites
Paper 10949-15
Author(s): Shih-Luen Wang, Seyed M. M. Kahaki, Armen Stepanyants, Northeastern Univ. (United States)
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Volumetric texture modeling using dominant and discriminative binary patterns
Paper 10949-16
Author(s): Parmeet S. Bhatia, Siemens Healthineers (United States); Amit Kale, Bosch Corporate Research and Technology Ctr. (India); Zhigang Peng, Siemens Healthineers (United States)
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Session 4:
Brain: Shapes and Biomarkers
Tuesday 19 February 2019
3:30 PM - 4:50 PM
Session Chairs:
Kenji Suzuki, Illinois Institute of Technology (United States) ;
David R. Haynor, Univ. of Washington (United States)
Regularized topological data analysis for extraction of coherent brain regions
Paper 10949-17
Author(s): Ishaan Batta, Nicolas Honnorat, Christos Davatzikos, Univ. of Pennsylvania (United States)
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Automatic quality control using hierarchical shape analysis
Paper 10949-18
Author(s): Lianrui Zuo, Shuo Han, Aaron Carass, Chiadikaobi U. Onyike, Jerry L. Prince, Johns Hopkins Univ. (United States)
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Cerebellum parcellation with convolutional neural networks
Paper 10949-19
Author(s): Shuo Han, Yufan He, Aaron Carass, Johns Hopkins Univ. (United States); Sarah H. Ying, The Johns Hopkins Univ. School of Medicine (United States); Jerry L. Prince, Johns Hopkins Univ. (United States)
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Model selection for spatiotemporal modeling of early childhood sub-cortical development
Paper 10949-20
Author(s): James Fishbaugh, New York Univ. (United States); Beatriz Paniagua, Kitware, Inc. (United States); Martin Styner, John Gilmore, The Univ. of North Carolina at Chapel Hill (United States); Guido Gerig, New York Univ. (United States)
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Session WK2:
WORKSHOP: Understanding Brain Development using Connectomics
Tuesday 19 February 2019
5:00 PM - 7:00 PM

See Special Events for more information.
Wednesday 20 February Show All Abstracts
Session 5:
fMRI and DTI
Wednesday 20 February 2019
8:00 AM - 9:40 AM
Session Chairs:
Martin A. Styner, The Univ. of North Carolina at Chapel Hill (United States) ;
David R. Haynor, Univ. of Washington (United States)
Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality
Paper 10949-21
Author(s): Anas Z. Abidin, Univ. of Rochester (United States); Adora M. DSouza, Axel Wismüller, Univ. of Rochester Medical Ctr. (United States)
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Brain network identification in asynchronous task fMRI data using robust and scalable tensor decomposition
Paper 10949-22
Author(s): Jian Li, Jessica L. Wisnowski, Anand A. Joshi, Richard M. Leahy, The Univ. of Southern California (United States)
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Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators
Paper 10949-23
Author(s): Vishwesh Nath, Vanderbilt Univ. (United States); Samuel Remedios, Middle Tennessee State Univ. (United States); Prasanna Parvathaneni, Colin B. Hansen, Roza G. Bayrak, Camilo Bermudez, Justin A. Blaber, Karthik Ramadass, Kurt G. Schilling, Vaibhav A. Janve, Yurui Gao, Yuankai Huo, Ilwoo Lyu, Vanderbilt Univ. (United States); Owen Williams, Lori Beason-Held, Susan Resnick, National Institutes of Health (United States); Baxter P. Rogers, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman, Vanderbilt Univ. (United States)
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Improved estimation of dynamic connectivity from resting-state fMRI data
Paper 10949-24
Author(s): Biao Cai, Tulane Univ. (United States); Julia M. Stephen, The Mind Research Network (United States); Tony W. Wilson, Univ. of Nebraska Medical Ctr. (United States); Vince D. Calhoun, The Mind Research Network (United States), The Univ. of New Mexico (United States); Yu-ping Wang, Tulane Univ. (United States)
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Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization
Paper 10949-25
Author(s): Heejong Kim, New York Univ. (United States); Joseph Piven, University of North Carolina (United States); Guido Gerig, New York Univ. (United States)
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Session 6:
Keynote and Highlights
Wednesday 20 February 2019
10:10 AM - 12:10 AM
Session Chairs:
Tomaž Vrtovec, Univ. of Ljubljana (Slovenia) ;
Hayit Greenspan, Tel Aviv Univ. (Israel)
Deep learning for inverse imaging problems: some recent approaches (Keynote Presentation)
Paper 10949-26
Author(s): Carola-Bibiane Schönlieb, Univ. of Cambridge (United Kingdom)
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PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation
Paper 10949-27
Author(s): Mauricio Orbes, Univ. of Copenhagen (Denmark), King's College London (United Kingdom), Biomediq (Denmark); Marc Modat, Sebastien Ourselin, King's College London (United Kingdom); Stefan Sommer, Univ. of Copenhagen (Denmark); Akshay Pai, Univ. of Copenhagen (Denmark), Biomediq (Denmark)
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Effect of statistical mismatch between training and test images for CNN-based deformable registration
Paper 10949-28
Author(s): Michael D. Ketcha, Tharindu De Silva, Runze Han, Ali Uneri, Johns Hopkins Univ. (United States); Sebastian Vogt, Gerhard Kleinszig, Siemens Healthineers (Germany); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (United States)
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Segmentation of corneal optical coherence tomography images using randomized Hough transform
Paper 10949-29
Author(s): Amr Elsawy, Mohamed Abdel-Mottaleb, Univ. of Miami (United States); Mohamed Abou Shousha, Bascom Palmer Eye Institute (United States)
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Lunch Break 12:10 PM - 1:20 PM
Session 7:
Machine Learning for Clinical Prediction
Wednesday 20 February 2019
1:20 PM - 3:00 PM
Session Chairs:
Marius Staring, Leiden Univ. Medical Ctr. (Netherlands) ;
Olivier Colliot, Ctr. National de la Recherche Scientifique (France)
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data
Paper 10949-30
Author(s): Jorge Samper-Gonzalez, Ninon Burgos, Simona Bottani, Institut National de Recherche en Informatique et en Automatique (France), Institut du Cerveau et de la Moelle Épinière (France), Sorbonne Univ. (France); Marie-Odile Habert, Lab. d'Imagerie Biomédicale (France), Pitié-Salpêtrière Hospital (France), Sorbonne Univ. (France); Theodoros Evgeniou, INSEAD (France); Stephane Epelbaum, Pitié-Salpêtrière Hospital (France), Sorbonne Univ. (France); Olivier Colliot, Institut National de Recherche en Informatique et en Automatique (France), Institut du Cerveau et de la Moelle Épinière (France), Pitié-Salpêtrière Hospital (France)
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Reduction of unnecessary thyroid biopsies using deep learning
Paper 10949-31
Author(s): Zeynettin Akkus, Arunnit Boonrod, Mayo Clinic (United States); Mahfuzur R. Siddiquee, Arizona State Univ. (United States); Kenneth A. Philbrick, Marius N. Stan, Regina M. Castro, Bradley J. Erickson, Mayo Clinic (United States)
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Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning
Paper 10949-32
Author(s): Sanne van Velzen, Majd Zreik, Max A. Viergever, Pim A. de Jong, Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands)
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Spatial integration of radiology and pathology images to characterize breast cancer aggressiveness on pre-surgical MRI
Paper 10949-33
Author(s): Mirabela Rusu, Bruce Daniel, Robert West, Stanford Univ. (United States)
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A computational method to aid the detection and annotation of pleural lesions in CT images of the thorax
Paper 10949-34
Author(s): Azael de Melo e Sousa, Ericson Bagatin, Univ. Estadual de Campinas (Brazil); Gustavo Meirelles, Fleury Group (Brazil); Alexandre Falcão, Univ. Estadual de Campinas (Brazil)
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Session 8:
Classification
Wednesday 20 February 2019
3:30 PM - 5:30 PM
Session Chairs:
Alexandre X. Falcão, Univ. Estadual de Campinas (Brazil) ;
Jerry L. Prince, Johns Hopkins Univ. (United States)
Body part and imaging modality classification for a general radiology cognitive assistant
Paper 10949-35
Author(s): Chinyere I. Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood, IBM Research - Almaden (United States)
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Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders
Paper 10949-36
Author(s): Hristina Uzunova, Jan Ehrhardt, Timo Kepp, Heinz Handels, Institut für Medizinische Informatik, Univ. zu Lübeck (Germany)
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Fourier decomposition free-breathing 1H MRI perfusion maps in asthma
Paper 10949-37
Author(s): Alexander M. Matheson, Robarts Research Institute, Western Univ. (Canada); Dante P. I. Capaldi, Stanford Univ. (United States); Fumin Guo, Sunnybrook Research Institute, Univ. of Toronto (Canada); Rachel L. Eddy, Robarts Research Institute (Canada); David G. McCormack, London Health Sciences Ctr. (Canada); Grace Parraga, Robarts Research Institute (Canada)
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Localization and labeling of cervical vertebral bones in the micro-CT images of rabbit fetuses using a 3D deep convolutional neural network
Paper 10949-38
Author(s): Antong Chen, Dahai Xue, Tosha Shah, Catherine D. G. Hines, Alexa Gleason, Manishkumar Patel, Barbara Robinson, Britta Mattson, Belma Dogdas, Merck & Co., Inc. (United States)
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Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations
Paper 10949-39
Author(s): Volker Dicken, Annika Haensch, Jan Moltz, Fraunhofer MEVIS (Germany); Benjamin Haas, Thomas Coradi, Varian Medical Systems, Inc. (Switzerland); Tomasz Morgas, Varian Medical Systems, Inc. (United States); Jan Klein, Fraunhofer MEVIS (Germany)
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Spatiotemporal classification of echocardiography videos in point-of-care devices
Paper 10949-40
Author(s): Arijit Patra, Mohammed Ali Maraci, Institute of Biomedical Engineering, Univ. of Oxford (United Kingdom)
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Wednesday Poster Session
Wednesday 20 February 2019
5:30 PM - 7:00 PM
3D bifurcations characterization for intra-cranial aneurysms prediction
Paper 10949-63
Author(s): Anass Nouri, Florent Autrusseau, Romain Bourcier, Alban Gaignard, Vincent L'Allinec, Celine Menguy, Joëlle Veziers, Hubert Desal, Richard Redon, Univ. de Nantes (France)
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Shape-based three-dimensional body composition extrapolation using multimodality registration
Paper 10949-64
Author(s): Yao Lu, James K. Hahn, The George Washington Univ. (United States)
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Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation
Paper 10949-65
Author(s): Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim, Univ. Medical Ctr. Utrecht (Netherlands)
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Incorporating CT prior information in the robust fuzzy C-means algorithm for QSPECT image segmentation
Paper 10949-66
Author(s): Junyu Chen, Johns Hopkins Univ. (United States); Abhinav K. Jha, Washington Univ. in St. Louis (United States); Eric C. Frey, Johns Hopkins Univ. (United States)
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Automatic two-chamber segmentation in cardiac CTA using 3D fully convolutional neural networks
Paper 10949-67
Author(s): Yan Yang, Osama Masoud, Vital Images, Inc. (United States)
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Multiscale deep desmoking for laparoscopic surgery
Paper 10949-68
Author(s): Congcong Wang, Ahmed Kedir Mohammed, Faouzi Alaya Cheikh, Norwegian Univ. of Science and Technology (Norway); Azeddine Beghdadi, Univ. Paris 13 (France); Ole Jacob Elle, Oslo Univ. Hospital (Norway)
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Subvoxel vessel wall thickness measurements from vessel wall MR images
Paper 10949-69
Author(s): K. M. van Hespen, Jaco J.M. Zwanenburg, J. Hendrikse, H. J. Kuijf, Univ. Medical Ctr. Utrecht (Netherlands)
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VinceptionC3D: a 3D convolutional neural network for retinal OCT image classification
Paper 10949-70
Author(s): Shuanglang Feng, Weifang Zhu, Heming Zhao, Fei Shi, Dehui Xiang, Xinjian Chen, Soochow Univ. (China)
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Choroid segmentation in OCT images based on improved U-net
Paper 10949-71
Author(s): Xuena Cheng, Xinjian Chen, Yuhui Ma, Weifang Zhu, Soochow Univ. (China); Ying Fan, Shanghai General Hospital (China); Fei Shi, Soochow Univ. (China)
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Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps
Paper 10949-72
Author(s): Camilo Bermudez, William J. Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Schults, Pierre D. D’Haese, Vanderbilt Univ. (United States); Peter E. Konrad, Vanderbilt Univ. Medical Ctr. (United States); Benoit M. Dawant, Bennett A. Landman, Vanderbilt Univ. (United States)
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Automated segmentation of the optic disc using the deep learning
Paper 10949-73
Author(s): Lei Wang, Jiantao Pu, Han Liu, Univ. of Pittsburgh (United States)
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Generation of retinal OCT images with diseases based on cGAN
Paper 10949-74
Author(s): Xuewei Zha, Fei Shi, Yuhui Ma, Weifang Zhu, Xinjian Chen, Soochow Univ. (China)
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A probabilistic approach for the registration of images with missing correspondences
Paper 10949-75
Author(s): Julia Krüger, Jan Ehrhardt, Sandra Schultz, Heinz Handels, Univ. zu Lübeck (Germany)
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Active shape dictionary for automatic segmentation of pathological lung in low-dose CT image
Paper 10949-76
Author(s): Geng Chen, Dehui Xiang, Haihong Tian, Weifang Zhu, Fei Shi, Soochow Univ. (China); Bin Zhang, The First Affiliated Hospital of Soochow Univ. (China); Xinjian Chen, Soochow Univ. (China)
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A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia
Paper 10949-77
Author(s): Sayan Ghosal, Archana Venkataraman, Johns Hopkins Univ. (United States)
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Stack-U-Net: refinement network for improved optic disc and cup image segmentation
Paper 10949-78
Author(s): Artem Sevastopolsky, Youth Labs. Ltd. (Russian Federation), Skolkovo Institute of Science and Technology (Russian Federation); Stepan Drapak, Youth Labs. Ltd. (Russian Federation), M.V. Lomonosov Moscow State Univ. (Russian Federation); Konstantin Kiselev, Youth Labs. Ltd. (Russian Federation); Blake M. Snyder, Univ. of Colorado Denver School of Medicine (United States), Francis I. Proctor Foundation for Research in Ophthalmology (United States), Univ. of California, San Francisco (United States); Jeremy D. Keenan, Univ. of California, San Francisco (United States), Francis I. Proctor Foundation for Research in Ophthalmology (United States); Anastasia Georgievskaya, Youth Labs. Ltd. (Russian Federation), Dorodnicyn Computing Ctr. of RAS (Russian Federation)
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Left ventricle segmentation in LGE-MRI using multi-class learning
Paper 10949-79
Author(s): Tanja Kurzendorfer, Siemens Healthcare GmbH (Germany), Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Katharina Breininger, Stefan Steidl, Andreas Maier, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Rebecca Fahrig, Siemens Healthcare GmbH (Germany), Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
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A CNN based retinal regression model for Bruch’s Membrane Opening detection
Paper 10949-80
Author(s): Yuhe Shen, Soochow Univ. (China)
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Robust harmonic field based tooth segmentation in real-life noisy scanned mesh
Paper 10949-81
Author(s): Jaedong Hwang, Sanghyeok Park, Seokjin Lee, Yeong-Gil Shin, Seoul National Univ. (Korea, Republic of)
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Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization
Paper 10949-82
Author(s): Nils Gessert, Sarah Latus, Technische Univ. Hamburg-Harburg (Germany); Youssef S. Abdelwahed, David M. Leistner, Charité Universitätsmedizin Berlin (Germany); Matthias Lutz, Universitätsklinikum Schleswig-Holstein (Germany); Alexander Schlaefer, Technische Univ. Hamburg-Harburg (Germany)
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Simultaneous and automatic two surface detection of renal cortex in 3D CT images by enhanced sparse shape composition
Paper 10949-83
Author(s): Haihong Tian, Geng Chen, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen, Soochow Univ. (China)
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Predicting cognitive scores from resting fMRI data and geometric features
Paper 10949-84
Author(s): Anand A. Joshi, Jian Li, Haleh Akrami, Richard M. Leahy, The Univ. of Southern California (United States)
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The segmentation of bladder cancer using the voxel-features-based method
Paper 10949-85
Author(s): Haojie Zheng, Fourth Military Medical Univ. (China)
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Multi-coil magnetic resonance imaging reconstruction with a Markov Random Field prior
Paper 10949-86
Author(s): Marko Panic, BioSense Institute (Serbia), Univ. of Novi Sad (Serbia); Jan Aelterman, Univ. Gent (Belgium); Vladimir Crnojevic, Univ. of Novi Sad (Serbia), BioSense Institute (Serbia); Aleksandra Pižurica, Univ. Gent (Belgium)
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Enhancement of brain infarct semantic segmentation with squeeze-and-excitation block in diffusion weighted MRI
Paper 10949-87
Author(s): AReum Lee, Asan Medical Ctr., Univ. of Ulsan College of Medicine (Korea, Republic of); Ilsang Woo, Univ. of Ulsan College of Medicine, Asan Medical Ctr. (Korea, Republic of); Hyunna Lee, Univ. of Ulsan College of Medicine, Asan Medical Ctr. (Korea, Republic of); Seung Chai Jung, Univ. of Ulsan College of Medicine, Asan Medical Ctr. (Korea, Republic of); Namkug Kim, Univ. of Ulsan College of Medicine, Asan Medical Ctr. (Korea, Republic of)
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Deep learning-based stenosis quantification from coronary CT angiography
Paper 10949-88
Author(s): Youngtaek Hong, Cedars-Sinai Medical Ctr. (United States), Yonsei Univ. (Korea, Republic of); Frédéric Commandeur, Sebastien Cadet, Cedars-Sinai Medical Ctr. (United States); Markus Goeller, Cedars-Sinai Medical Ctr. (United States), Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Mhairi Doris, Cedars-Sinai Medical Ctr. (United States), The Univ. of Edinburgh (United Kingdom); Xi Chen, Cedars-Sinai Medical Ctr. (United States); Jacek Kwiecinski, Cedars-Sinai Medical Ctr. (United States), The Univ. of Edinburgh (United Kingdom); Daniel Berman, Piotr Slomka, Cedars-Sinai Medical Ctr. (United States); Hyuk-Jae Chang, Yonsei Univ. (Korea, Republic of); Damini Dey, Cedars-Sinai Medical Ctr. (United States)
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Tissue segmentation in volumetric laser endomicroscopy data using fusionnet and a domain-specific loss function
Paper 10949-89
Author(s): Joost van der Putten, Fons van der Sommen, Technische Univ. Eindhoven (Netherlands); Maarten Struyvenberg, Jeroen de Groof, Amsterdam UMC (Netherlands); Wouter Curvers, Erik Schoon, Catharina Hospital (Netherlands); Jacques J.G.H.M. Bergman, Amsterdam UMC (Netherlands); Peter H. N. de With, Technische Univ. Eindhoven (Netherlands)
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Projection image-to-image translation in hybrid x-ray/MR imaging
Paper 10949-90
Author(s): Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas Maier, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
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Deep learning based classification for metastasis of hepatocellular carcinoma with microscopic images
Paper 10949-91
Author(s): Hui Meng, Yuan Gao, Kun Wang, Jie Tian, Institute of Automation (China), Univ. of Chinese Academy of Sciences (China)
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Improving myocardium segmentation in cardiac CT angiography using spectral information
Paper 10949-92
Author(s): Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands)
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Fully automated lung lobe segmentation in volumetric chest CT with 3D U-Net
Paper 10949-93
Author(s): Jongha Park, Namkug Kim, Beomhee Park, Jihye Yun, Yongwon Cho, Hee Jun Park, Mijeong Song, Asan Medical Ctr. (Korea, Republic of); Minho Lee, Seoul National Univ. Hospital (Korea, Republic of); Joon Beom Seo, Asan Medical Ctr. (Korea, Republic of)
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Automatic dental root CBCT image segmentation based on CNN and level set methods
Paper 10949-94
Author(s): Jun Ma, Nanjing Univ. of Science and Technology (China); Xiaoping Yang, Nanjing Univ. (China)
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Automatic rat brain segmentation from MRI using statistical shape models and random forest
Paper 10949-95
Author(s): Simone Bendazzoli, KTH Royal Institute of Technology (Sweden); Irene Brusini, KTH Royal Institute of Technology (Sweden), Karolinska Institute (Sweden); Peter Damberg, Karolinska Institute (Sweden); Örjan Smedby, KTH Royal Institute of Technology (Sweden); Leif Andersson, Uppsala Univ. (Sweden); Chunliang Wang, KTH Royal Institute of Technology (Sweden)
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Semantic segmentation of CT images for radiotherapy with deep learning: compensating insufficient annotation quality using contour augmentation
Paper 10949-96
Author(s): Umair Javaid, Damien Dasnoy, John A. Lee, Univ. Catholique de Louvain (Belgium)
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An automatic end-to-end pipeline for CT image-based EGFR mutation status classification
Paper 10949-97
Author(s): Lin Tian, Ruijia Technology, Inc. (China); Rong Yuan, Peking Univ. Shenzhen Hospital (China)
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Sparse low-dimensional causal modeling for the analysis of brain function
Paper 10949-98
Author(s): Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos, Univ. of Pennsylvania (United States)
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Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN
Paper 10949-99
Author(s): Bo Wang, Yang Lei, Tonghe Wang, Xue Dong, Sibo Tian, Xiaojun Jiang, Ashesh B. Jani, Tian Liu, Walter J. Curran, Pretesh Patel, Xiaofeng Yang, Emory Univ. (United States)
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MRI-based synthetic CT generation based on dense-cycle-GAN
Paper 10949-100
Author(s): Yang Lei, Tonghe Wang, Yingzi Liu, Kristin Higgins, Sibo Tian, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang, Emory Univ. (United States)
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Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network
Paper 10949-101
Author(s): Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Vanderbilt Univ. (United States); Mayur B. Patel, Vanderbilt Univ. (United States), Tennessee Valley Healthcare System (United States), Veterans Affairs Medical Ctr. (United States); Bennett A. Landman, Vanderbilt Univ. (United States)
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Reproducibility evaluation of SLANT whole brain segmentation across clinical magnetic resonance imaging protocols
Paper 10949-102
Author(s): Yunxi Xiong, Yuankai Huo, Jiachen Wang, L. Taylor Davis, Maureen McHugo, Bennett A. Landman, Vanderbilt Univ. (United States)
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Group-wise alignment of resting fMRI in space and time
Paper 10949-103
Author(s): Haleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy, Signal and Image Processing Institute, The Univ. of Southern California (United States)
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A robust index for global tissue deformation analysis in ultrasound images
Paper 10949-104
Author(s): Arnaud Brignol, École de Technologie Supérieure (Canada); Farida Cheriet, Ecole Polytechnique de Montréal (Canada); Catherine Laporte, École de Technologie Supérieure (Canada)
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Nuclei counting in microscopy images with three dimensional generative adversarial networks
Paper 10949-105
Author(s): Shuo Han, Soonam Lee, Chichen Fu, Purdue Univ. (United States); Paul Salama, Indiana Univ.-Purdue Univ. Indianapolis (United States); Kenneth W. Dunn, Indiana Univ. School of Medicine (United States); Edward J. Delp, Purdue Univ. (United States)
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Cycle-consistent 3D-generative adversarial network for virtual bowel cleansing in CT colonography
Paper 10949-106
Author(s): Janne J. Näppi, Hiroyuki Yoshida, Massachusetts General Hospital (United States), Harvard Medical School (United States)
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Robust discomfort detection for infants using an unsupervised roll estimation
Paper 10949-107
Author(s): Cheng Li, Arash Pourtaherian, Technische Univ. Eindhoven (Netherlands); W. E. Tjon A Ten, Maxima Medical Center (Netherlands); Peter H.N. de With, Technische Univ. Eindhoven (Netherlands)
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Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networks
Paper 10949-108
Author(s): Juan Pedro Vigueras Guillen, Rotterdam Ophthalmic Institute (Netherlands), Technische Univ. Delft (Netherlands); Hans G. Lemij, Jeroen van Rooij, The Rotterdam Eye Hospital (Netherlands); Koenraad A. Vermeer, Rotterdam Ophthalmic Institute (Netherlands); Lucas J. van Vliet, Technische Univ. Delft (Netherlands)
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Pulmonary lobar segmentation from computed tomography scans based on a statistical finite element analysis of lobe shape
Paper 10949-109
Author(s): Yuwen Zhang, Mahyar Osanlouy, Alys Clark, Haribalan Kumar, Auckland Bioengineering Institute, The Univ. of Auckland (New Zealand); Margaret Wilsher, David Milne, Auckland City Hospital (New Zealand), Auckland District Health Board (New Zealand); Eric A. Hoffman, The Univ. of Iowa (United States); Merryn Tawhai, Auckland Bioengineering Institute, The Univ. of Auckland (New Zealand)
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Fully automated detection and quantification of multiple retinal diseases in OCT volumes based on deep learning and improved DRLSE
Paper 10949-110
Author(s): Liling Guan, Kai Yu, Xinjian Chen, Soochow Univ. (China)
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Fully automated airway segmentation on CT images using 2.5D and 3D convolutional neural net
Paper 10949-111
Author(s): Jihye Yun, Asan Medical Ctr., Univ. of Ulsan College of Medicine (Korea, Republic of); Minho Lee, Seoul National Univ. Hospital (Korea, Republic of); Jinkon Park, Donghoon Yu, Jaeyoun Yi, Coreline Soft Co., Ltd. (Korea, Republic of); Hee Jun Park, June-Goo Lee, Joon Beom Seo, Namkug Kim, Univ. of Ulsan College of Medicine, Asan Medical Ctr. (Korea, Republic of)
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Is hippocampus getting bumpier with age: a quantitative analysis of fine-scale dentational feature under the hippocampus on 552 healthy subjects
Paper 10949-112
Author(s): Shuxiu Cai, Xiaxia Yu, Shenzhen Univ. (China); Qiaochu Zhang, The Hong Kong Polytechnic Univ. (Hong Kong, China); Chuan Huang, Stony Brook Univ. (United States); Yi Gao, Shenzhen Univ. (China)
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Local and global transformations to improve learning of medical images applied to chest radiographs
Paper 10949-114
Author(s): Vidya M. S., Manikanda Krishnan V., Anirudh Gonnabhaktula, Srinivasa Rao Kundeti, Vijayananda J., Philips Healthcare (India)
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Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound image
Paper 10949-115
Author(s): Hong Joo Lee, Hak Gu Kim, Hyenok Park, KAIST (Korea, Republic of); DongKuk Shin, SAMSUNG Medison Co., Ltd. (Korea, Republic of); Yong Man Ro, KAIST (Korea, Republic of)
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The impact of MRI-CT registration errors on deep learning-based synthetic CT generation
Paper 10949-116
Author(s): Mateusz C. Florkow, Frank Zijlstra, Image Sciences Institute, Univ. Medical Ctr. Utrecht (Netherlands); Linda G. W. Kerkmeijer, Matteo Maspero, Cornelis A. T. van den Berg, Univ. Medical Ctr. Utrecht (Netherlands); Marijn van Stralen, Peter R. Seevinck, Image Sciences Institute, Univ. Medical Ctr. Utrecht (Netherlands)
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Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images
Paper 10949-117
Author(s): Kleopatra Pirpinia, The Netherlands Cancer Institute (Netherlands); Peter A. N. Bosman, Ctr. Wiskunde & Informatica (Netherlands); Jan-Jakob Sonke, The Netherlands Cancer Institute (Netherlands); Marcel van Herk, The Univ. of Manchester (United Kingdom); Tanja Alderliesten, Amsterdam UMC (Netherlands)
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Renal parenchyma segmentation from abdominal CT images using multi-atlas method with intensity and shape constraints
Paper 10949-118
Author(s): Hyeonjin Kim, Helen Hong, Seoul Women's Univ. (Korea, Republic of); Kidon Chang, Koon Ho Rha, Yonsei Univ. College of Medicine (Korea, Republic of)
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Discrimination of benign and malignant pulmonary tumors in computed tomography: effective priori information of fast learning network architecture
Paper 10949-119
Author(s): Hao-Jen Wang, Leng-Rong Chen, Li-Wei Chen, Yi-Chang Chen, Shun-Mao Yang, National Taiwan Univ. (Taiwan); Mong-Wei Lin, National Taiwan Univ. Hospital (Taiwan); Joseph Chang, National Taiwan Univ. (Taiwan); Chia-Chen Li, Institute of Biomedical Engineering National Taiwan Univ. (Taiwan); Jin-Shing Chen, Yeun-Chung Chang, National Taiwan Univ. Hospital (Taiwan); Chung-Ming Chen, Institute of Biomedical Engineering National Taiwan Univ. (Taiwan)
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Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine hearts
Paper 10949-120
Author(s): Mia Mojica, Univ. of Ontario Institute of Technology (Canada); Mihaela Pop, Sunnybrook Research Institute (Canada); Maxime Sermesant, Institut National de Recherche en Informatique et en Automatique (France); Mehran Ebrahimi, Univ. of Ontario Institute of Technology (Canada)
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Orbital bone segmentation in head and neck CT images using multi-gray level fully convolutional networks
Paper 10949-121
Author(s): Min Jin Lee, Helen Hong, Seoul Women's Univ. (Korea, Republic of); Kyu Won Shim, Yonsei Univ. College of Medicine (Korea, Republic of), Severance Children’s Hospital (Korea, Republic of); Seongeun Park, Yonsei Univ. College of Medicine (Korea, Republic of)
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Lung cancer detection using co-learning from chest CT images and clinical demographics
Paper 10949-122
Author(s): Jiachen Wang, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman, Vanderbilt Univ. (United States)
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Semi-automatic segmentation of JIA-induced inflammation in MRI images of ankle joints
Paper 10949-123
Author(s): Anqi Wang, Fraunhofer-Institut für Graphische Datenverarbeitung (Germany), Technische Univ. Darmstadt (Germany)
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Trainable multi-stage attention modules for view classification in fetal echocardiography images
Paper 10949-124
Author(s): Arijit Patra, Univ. of Oxford (United Kingdom)
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Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images
Paper 10949-125
Author(s): Ze Jin, Jayaram K. Udupa, Drew A. Torigian, Univ. of Pennsylvania (United States)
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Evaluating the impact of intensity normalization on MR image synthesis
Paper 10949-126
Author(s): Jacob C. Reinhold, Blake E. Dewey, Aaron Carass, Jerry L. Prince, Johns Hopkins Univ. (United States)
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Deep learning techniques to synthesize μCT from CT for cochlear implant neural activation models
Paper 10949-127
Author(s): Jeffrey L. Zhang, Jianing Wang, Jack H. Noble, Vanderbilt Univ. (United States); Robert Labadie, Vanderbilt Univ. Medical Ctr. (United States)
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The utility of deep learning: evaluation of a convolutional neural network for detection of intracranial bleeds on non-contrast head computed tomography studies
Paper 10949-128
Author(s): Patricia Ojeda, Mazen Zawaideh, David Haynor, Univ. of Washington (United States)
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Offset regression networks for view plane estimation in 3D fetal ultrasound
Paper 10949-129
Author(s): Alexander Schmidt-Richberg, Nicole Schadewaldt, Tobias Klinder, Philips Research (Germany); Robert Trahms, Earl Canfield, David Roundhill, Philips Ultrasound, Inc. (United States); Cristian Lorenz, Philips Research (Germany)
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Thursday 21 February Show All Abstracts
Session 9:
Cardiac Imaging
Thursday 21 February 2019
8:00 AM - 9:40 AM
Session Chairs:
Punam Kumar Saha, The Univ. of Iowa (United States) ;
Hayit Greenspan, Tel Aviv Univ. (Israel)
Automatic cardiac landmark localization by a recurrent neural network
Paper 10949-41
Author(s): Mike van Zon, Mitko Veta, Technische Univ. Eindhoven (Netherlands); Shuo Li, Digital Imaging Group of London (Canada), Western Univ. (Canada)
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Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning
Paper 10949-42
Author(s): Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, Jeffrey J. Carr, Bennett A. Landman, Vanderbilt Univ. (United States)
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Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces
Paper 10949-43
Author(s): Sandro Queirós, Pedro Morais, Jaime C. Fonseca, Life and Health Sciences Research Institute (Portugal); Jan D'hooge, KU Leuven (Belgium); João L. Vilaça, Instituto Politécnico do Cávado e do Ave (Portugal)
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Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI
Paper 10949-44
Author(s): Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands)
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Automatic identification of coronary arteries and viewpoints in 2D x-ray angiography using deep learning
Paper 10949-45
Author(s): Tanveer F. Syeda-Mahmood, Hui Tang, IBM Research - Almaden (United States)
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Session 10:
Registration and Motion
Thursday 21 February 2019
10:10 AM - 12:10 PM
Session Chairs:
Murray H. Loew, The George Washington Univ. (United States) ;
Olivier Colliot, Ctr. National de la Recherche Scientifique (France)
Bayesian inference for uncertainty quantification in point-based deformable image registration
Paper 10949-46
Author(s): Sandra Schultz, Julia Krüger, Heinz Handels, Jan Ehrhardt, Univ. zu Lübeck (Germany)
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Unsupervised learning for large motion thoracic CT follow-up registration
Paper 10949-47
Author(s): Alessa Hering, Stefan Heldmann, Fraunhofer MEVIS (Germany)
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Progressively growing convolutional networks for end-to-end deformable image registration
Paper 10949-48
Author(s): Koen A. J. Eppenhof, Maxime W. Lafarge, Josien P. W. Pluim, Technische Univ. Eindhoven (Netherlands)
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Accurate registration of 3D time-lapse microscopy images
Paper 10949-49
Author(s): Seyed M. M. Kahaki, Shih-Luen Wang, Armen Stepanyants, Northeastern Univ. (United States)
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Analysis of the kinematic motion of the wrist from 4D magnetic resonance imaging
Paper 10949-50
Author(s): Batool Abbas, James Fishbaugh, New York Univ. (United States); Catherine Petchprapa, Riccardo Lattanzi, NYU Langone Health (United States); Guido Gerig, New York Univ. (United States)
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Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior
Paper 10949-51
Author(s): Pedro Morais, Sandro Queirós, Carla Pereira, Life and Health Sciences Research Institute (Portugal); António HJ Moreira, Instituto Politécnico do Cávado e do Ave (Portugal); Maria J. Baptista, Life and Health Sciences Research Institute (Portugal); Nuno F. Rodrigues, Instituto Politécnico do Cávado e do Ave (Portugal); Jan D'hooge, KU Leuven (Belgium); Daniel Barbosa, João L. Vilaça, Instituto Politécnico do Cávado e do Ave (Portugal)
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Award Announcements
Thursday 21 February 2019
12:10 PM - 12:15 PM

The Image Processing Student Paper Award, conference RFW runners up, and poster award recipients will be recognized and certificates distributed.
Lunch Break 12:10 PM - 1:20 PM
Session 11:
Deep Learning: Lesions and Pathologies
Thursday 21 February 2019
1:20 PM - 3:00 PM
Session Chairs:
Martin A. Styner, The Univ. of North Carolina at Chapel Hill (United States) ;
Kenji Suzuki, Illinois Institute of Technology (United States)
Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder
Paper 10949-52
Author(s): Hans E. Atlason, Univ. of Iceland (Iceland); Askell Love, Landspítali (Iceland); Sigurdur Sigurdsson, Icelandic Heart Association (Iceland); Vilmundur Gudnason, Icelandic Heart Association (Iceland), Univ. of Iceland (Iceland); Lotta M. Ellingsen, Univ. of Iceland (Iceland), Johns Hopkins Univ. (United States)
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Fully automated unruptured intracranial aneurysm detection and segmentation from digital subtraction angiography series using an end-to-end spatiotemporal deep neural network
Paper 10949-53
Author(s): Hailan Jin, Union Strong Technology Co., Ltd. (China); Yin Yin, Nuance Communications Inc. (United States); Minghui Hu, Guangming Yang, Lan Qin, Union Strong Technology Co., Ltd. (China)
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CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network
Paper 10949-54
Author(s): 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, Univ. Medical Ctr. Utrecht (Netherlands)
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Weakly supervised fully convolutional network for PET lesion segmentation
Paper 10949-55
Author(s): Saeedeh Afshari, Aïcha BenTaieb, Zahra MiriKharaji, Ghassan Hamarneh, Simon Fraser Univ. (Canada)
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Lesion focused super resolution
Paper 10949-56
Author(s): Jin Zhu, Univ. of Cambridge (United Kingdom); Guang Yang, Cardiovascular Biomedical Research Unit, Royal Brompton Hospital (United Kingdom), National Heart and Lung Institute, Imperial College London (United Kingdom); Pietro Lio, Univ. of Cambridge (United Kingdom)
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Session 12:
OCT and Microscopy
Thursday 21 February 2019
3:30 PM - 5:30 PM
Session Chairs:
Lin Shi, The Chinese Univ. of Hong Kong (Hong Kong, China) ;
Mads Nielsen, Niels Bohr Institute (Denmark)
Variational autoencoding tissue response to microenvironment perturbation
Paper 10949-57
Author(s): Geoffrey Schau, Guillaume Thibault, Joe W . Gray, Young Hwan Chang, Oregon Health & Science Univ. (United States)
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Approximation of a pipeline of unsupervised retina image analysis methods with a CNN
Paper 10949-58
Author(s): Friso G. Heslinga, Josien P. W. Pluim, Behdad Dasht Bozorg, Technische Univ. Eindhoven (Netherlands); Tos T. J. M. Berendschot, Technische Univ. Eindhoven (Netherlands), Maastricht Univ. Medical Ctr. (Netherlands); A. J. H. M. Houben, Maastricht Univ. Medical Ctr. (Netherlands); Mitko Veta, Technische Univ. Eindhoven (Netherlands)
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Segmentation of corneal optical coherence tomography images using Graph Search and Radon transform
Paper 10949-59
Author(s): Amr Elsawy, Mohamed Abdel-Mottaleb, Univ. of Miami (United States); Mohamed Abou Shousha, Bascom Palmer Eye Institute (United States)
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Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy
Paper 10949-60
Author(s): Mirabela Rusu, Christian Kunder, Richard Fan, Pejman Ghanouni, Robert West, Geoffrey Sonn, James D. Brooks, Stanford Univ. (United States)
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Predicting Histopathological Findings of Gastric Cancer via Deep Generalized Multi-instance Learning
Paper 10949-61
Author(s): Mengjie Fang, Institute of Automation (China), Univ. of Chinese Academy of Sciences (China); Wenjuan Zhang, Lanzhou Univ. Second Hospital (China); Di Dong, Institute of Automation (China), Univ. of Chinese Academy of Sciences (China); Junlin Zhou, Lanzhou Univ. Second Hospital (China); Jie Tian, Institute of Automation (China), Univ. of Chinese Academy of Sciences (China)
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Objects characterization-based approach to enhance detection of degree of malignancy in breast cancer histopathology images
Paper 10949-62
Author(s): Pedro Furtado, Univ. de Coimbra (Portugal)
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