Digital Forum
Online Only
15 - 19 February 2021
Conference 11596
Image Processing
Conference Committee
Saturday 6 March Show All Abstracts
Welcome and Introduction
Welcome and Introduction to SPIE Conference 11596 Presentation
Paper 11596-400
Author(s): Ivana Išgum, Amsterdam UMC (Netherlands); Bennett A. Landman, Vanderbilt Univ. (United States)
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Session LIVE: Workshop: Translation of AI in Healthcare Industry
Session Chairs:
Antong Chen, Merck & Co., Inc. (United States) ;
Tobias Heimann, Siemens Healthineers (Germany) ;
Jhimli Mitra, GE Research (United States)

See Special Events for more information.
Session LIVE: Awards and Plenary Session
Session Chairs:
Metin N. Gurcan, Wake Forest Baptist Medical Ctr. (United States) ;
Robert M. Nishikawa, Univ. of Pittsburgh (United States)

8:00 AM - Symposium Chair Welcome and RFW Best Student Paper Award Announcement

The first place winner and runner up of the Robert F. Wagner All-Conference Student Paper Award will be announced.

8:15 AM - SPIE 2021 Presidents Welcome and new SPIE Fellows Acknowledgements

8:20 AM - SPIE Harrison H. Barrett Award in Medical Imaging

This award will be presented in recognition of outstanding accomplishments in medical imaging.

8:30 AM - Plenary Presentation

Biophotonics Solutions to Global Health Challenges (Plenary Presentation) Presentation
Paper 11596-300
Tuesday, 16 February 2021 • 8:30 AM - 9:15 AM PSTLIVE EVENT Author(s): Rebecca R. Richards-Kortum, Rice Univ. (United States)
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Session LIVE: Keynote
A New Frontier In Critical Care: Saving the Injured Brain in the time of COVID-19 (Keynote Presentation) Presentation
Paper 11596-500
Wednesday, 17 February 2021 • 1:00 PM - 2:00 PM PSTLIVE EVENT Author(s): Eugene Wesley Ely, Vanderbilt Univ. School of Medicine (United States)
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Session 1: Deep Learning
Single MR image super-resolution via mixed self-similarity attention network Paper Presentation
Paper 11596-1
Author(s): Xiaowan Hu, Haoqian Wang, Yi Luo, Zhongzhi Sun, Tsinghua Univ. Shenzhen International Graduate School (China); Yanbin Peng, Peking University Shenzhen Hospital (China)
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Domain adaptation for organ segmentation from non-contrast to contrast enhanced CT Paper Presentation
Paper 11596-2
Author(s): Sidharth Abrol, GE Healthcare (India); Sandeep Dutta, GE Healthcare (United States); Bipul Das, Sanjay NT, GE Healthcare (India); Saad Sirohey, GE Healthcare (United States)
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EMONAS: efficient multiobjective neural architecture search framework for 3D medical image segmentation Paper Presentation
Paper 11596-3
Author(s): Maria G. Baldeon Calisto, Susana K. Lai-Yuen, Univ. of South Florida (United States)
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Lesion-wise evaluation for effective performance monitoring of small object segmentation Paper Presentation
Paper 11596-4
Author(s): Irme Groothuis, Carole Sudre, King's College London (United Kingdom); Silvia Ingala, Amsterdam UMC (Netherlands); Josephine Barnes, Univ. College London (United Kingdom); Juan Domingo Gispert Lopez, Barcelonabeta Brain Research Ctr. (Spain); Lauge Sorensen, Akshay Pai, Mads Nielsen, Cerebriu A/S (Denmark); Sebastien Ourselin, Jorge Cardoso, King's College London (United Kingdom); Frederik Barkhof, Amsterdam UMC (Netherlands); Marc Modat, King's College London (United Kingdom)
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Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation Presentation
Paper 11596-5
Author(s): Yuzhe Lu, Vanderbilt Univ. (United States); Haichun Yang, Vanderbilt Univ. Medical Ctr. (United States); Zheyu Zhu, Ruining Deng, Vanderbilt Univ. (United States); Agnes B. Fogo, Vanderbilt Univ. Medical Ctr. (United States); Yuankai Huo, Vanderbilt Univ. (United States)
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Session 2: Deep Dive

A limited number of papers have been selected for this novel deep-dive session. This session will comprise of very few oral presentations followed by a longer more in-depth discussion that will be led by experienced researchers.
Automated end-to-end deep learning framework for classification and tumor localization from native non-stained pathology images Paper Presentation
Paper 11596-6
Author(s): Akram Bayat, Connor Anderson, Pratik Shah, Massachusetts Institute of Technology (United States)
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Automatic whole-heart segmentation in 4D TAVI treatment planning CT Paper Presentation
Paper 11596-7
Author(s): Steffen Bruns, Amsterdam UMC (Netherlands); Jelmer M. Wolterink, Technical Medical Ctr., Univ. of Twente (Netherlands); Thomas P. W. van den Boogert, José P. Henriques, Heart Ctr., Amsterdam Cardiovascular Sciences, Univ. of Amsterdam (Netherlands); Jan Baan, R. Nils Planken, Ivana Išgum, Amsterdam UMC (Netherlands)
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G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification Paper Presentation
Paper 11596-8
Author(s): Sayan Ghosal, Johns Hopkins Univ. (United States); Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Lieber Institute for Brain Development (United States); Karen F. Berman, National Institute of Mental Health (United States), National Institutes of Health (United States); Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Univ. degli Studi di Bari Aldo Moro (Italy); Daniel R. Weinberger, Venkata S. Mattay, Lieber Institute for Brain Development (United States); Archana Venkataraman, Johns Hopkins Univ. (United States)
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Longitudinal subcortical segmentation with deep learning Paper Presentation
Paper 11596-43
Author(s): Hao Li, Huahong Zhang, Vanderbilt Univ. (United States); Hans Johnson, Jeffrey D. Long, University of Iowa (United States); Jane S. Paulsen, University of Wisconsin-Madison (United States); Ipek Oguz, Vanderbilt Univ. (United States)
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Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples Paper Presentation
Paper 11596-44
Author(s): Jörg Sander, Amsterdam UMC, Univ. of Amsterdam (Netherlands); Bob D. de Vos, Ivana Išgum, Amsterdam UMC (Netherlands)
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Learning inverse consistent 3D groupwise registration with deforming autoencoders Paper Presentation
Paper 11596-45
Author(s): Hanna Siebert, Kumar T. Rajamani, Mattias P. Heinrich, Univ. zu Lübeck (Germany)
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Session 3: Brain Phenotypes
A pairwise approach for fMRI group studies using the BrainSync Transform Paper Presentation
Paper 11596-9
Author(s): Anand A. Joshi, Soyoung Choi, Jian Li, Haleh Akrami, Richard M. Leahy, The Univ. of Southern California (United States)
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Association and prediction of phenotypic traits from neuroimaging data using a multi-component mixed model excluding the target vertex Paper Presentation
Paper 11596-10
Author(s): Baptiste Couvy-Duchesne, Institut du Cerveau et de la Moelle Épinière (France); Futao Zhang, Kathryn E. Kemper, Julia Sidorenko, Naomi R. Wray, Peter M. Visscher, The Univ. of Queensland (Australia); Jian Yang, Westlake Univ. (China); Olivier Colliot, Institut du Cerveau et de la Moelle Épinière (France)
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Accurate estimation of total intracranial volume in MRI using a multi-tasked image-to-image translation network Paper Presentation
Paper 11596-11
Author(s): Mallika Singh, Johns Hopkins Univ. (United States); Eleanor Pahl, Embry-Riddle Aeronautical Univ. (United States); Shangxian L. Wang, Aaron Carass, Johns Hopkins Univ. (United States); Junghoon Lee, The Johns Hopkins Univ. School of Medicine (United States); Jerry L. Prince, Johns Hopkins Univ. (United States)
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Cascaded multi-scale feature interaction for choroidal atrophy segmentation Paper Presentation
Paper 11596-12
Author(s): Jiahuan Song, Xinjian Chen, Weifang Zhu, Soochow Univ. (China)
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BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images Paper Presentation
Paper 11596-13
Author(s): Satrajit Chakrabarty, Aristeidis Sotiras, Mikhail Milchenko, Pamela LaMontagne, Christopher Abraham, Clifford Robinson, Daniel Marcus, Washington Univ. in St. Louis (United States)
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Session 4: Registration and Localization
Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI Paper Presentation
Paper 11596-14
Author(s): Bo Li, Wiro J. Niessen, Stefan Klein, M. Arfan Ikram, Meike W. Vernooij, Esther E. Bron, Erasmus MC (Netherlands)
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A novel unsupervised learning model for diffeomorphic image registration Paper Presentation
Paper 11596-15
Author(s): Yongpei Zhu, Tsinghua Univ. (China); Zicong Zhou, Shanghai Jiao Tong Univ. (China); Guojun Liao, The Univ. of Texas at Arlington (United States); Kehong Yuan, Tsinghua Univ. (China)
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Deep learning for the detection of landmarks in head CT images and automatic quality assessment Paper Presentation
Paper 11596-16
Author(s): Hrishikesh Deshpande, Axel Saalbach, Tim Harder, Stewart Young, Thomas Buelow, Philips Research (Germany)
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Multi-agent shape models for hip landmark detection in MR scans Paper Presentation
Paper 11596-17
Author(s): Imad Eddine I. Bekkouch, Innopolis Univ. (Russian Federation); Tamerlan Aidinovich, Innopolis Univ. (Russian Federation), Sirius Univ. of Science and Technology (Russian Federation), Public Hospital 2 (Russian Federation); Tomaz Vrtovec, Univ. of Ljubljana (Slovenia); Ramil Kuleev, Innopolis Univ. (Russian Federation), Sirius Univ. of Science and Technology (Russian Federation); Bulat Ibragimov, Innopolis Univ. (Russian Federation), Univ. of Copenhagen (Denmark)
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Graph loss function for unsupervised learning-based deformable medical image registration Paper Presentation
Paper 11596-18
Author(s): Sheng Lan, Tsinghua Univ. (China); Bo Yuan, Zhenhua Guo, Tsinghua Univ. Shenzhen International Graduate School (China)
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DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration Paper Presentation
Paper 11596-19
Author(s): Prateek Gupta, Indian Institute of Information Technology, Pune (India); Hanna Siebert, Univ. zu Lübeck (Germany); Mattias P. Heinrich, Kumar T. Rajamani, Institute of Medical Informatics, Univ. zu Lübeck (Germany)
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Session 5: Modeling and Recon
Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury Paper Presentation
Paper 11596-20
Author(s): Cailey I. Kerley, Leon Y. Cai, Chang Yu, Vanderbilt Univ. (United States); Logan M. Crawford, Jason M. Elenberger, Eden S. Singh, Vanderbilt Univ. Medical Ctr. (United States); Kurt G. Schilling, Katherine S. Aboud, Bennett A. Landman, Vanderbilt Univ. (United States); Tonia S. Rex, Vanderbilt Univ. Medical Ctr. (United States)
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Automatic model-based 3-D reconstruction of the teeth from five photographs with predefined viewing directions Paper Presentation
Paper 11596-21
Author(s): Andreas Wirtz, Fraunhofer-Institut für Graphische Datenverarbeitung IGD (Germany), Technische Univ. Darmstadt (Germany); Florian Jung, Fraunhofer-Institut für Graphische Datenverarbeitung IGD (Germany); Matthias Noll, Fraunhofer-Institut für Graphische Datenverarbeitung IGD (Germany), Technische Univ. Darmstadt (Germany); Anqi Wang, Fraunhofer-Institut für Graphische Datenverarbeitung IGD (Germany); Stefan Wesarg, Fraunhofer-Institut für Graphische Datenverarbeitung IGD (Germany), Technische Univ. Darmstadt (Germany)
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Dynamic palatogram generation from Cine MRI for normalized speech assessment Paper Presentation
Paper 11596-22
Author(s): Muhan Shao, Aaron Carass, Johns Hopkins Univ. (United States); Jiachen Zhuo, Xiao Liang, Univ. of Maryland School of Medicine (United States); Dima H. Ghunaim, Maureen Stone, Univ. of Maryland, Baltimore (United States); Jerry L. Prince, Johns Hopkins Univ. (United States)
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Metal artifact reduction, intra cochlear anatomy segmentation, and cochlear implant electrodes localization in CT images with a multi-task 3D network Paper Presentation
Paper 11596-23
Author(s): Jianing Wang, Vanderbilt Univ. (United States); Yiyuan Zhao, Siemens Healthineers (United States); Jack H. Noble, Benoit M. Dawant, Vanderbilt Univ. (United States)
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Low-count PET image reconstruction with Bayesian inference over a Deep Prior Paper Presentation
Paper 11596-24
Author(s): Hernan Camilo Carrillo Lindado, Ecole Centrale de Nantes (France), Lab. des Sciences du Numérique de Nantes (France); Maël Millardet, CRCINA - Institut de Recherche en Santé de l'Univ. de Nantes (France), Lab. des Sciences du Numérique de Nantes (France); Thomas Carlier, Ctr. Hospitalier Univ. de Nantes (France), CRCINA - Institut de Recherche en Santé de l'Univ. de Nantes (France); Diana Mateus, Ecole Centrale de Nantes (France), Lab. des Sciences du Numérique de Nantes (France)
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Session 6: NeuroImaging
MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs Paper Presentation
Paper 11596-25
Author(s): Hao Li, Huahong Zhang, Vanderbilt Univ. (United States); Hans Johnson, Jeffrey D. Long, University of Iowa (United States); Jane S. Paulsen, University of Wisconsin-Madison (United States); Ipek Oguz, Vanderbilt University (United States)
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Finding atrophy patterns of grey matter through orthonormal non-negative factorization Paper Presentation
Paper 11596-26
Author(s): Wenboz Zhang, Kwun Chuen Gary Chan, Dean Shibata, David Haynor, Univ. of Washington (United States)
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Establishing surface correspondence for post-surgical cortical thickness changes in temporal lobe epilepsy Paper Presentation
Paper 11596-27
Author(s): Yue Liu, Vanderbilt Univ. (United States), Northeastern Univ. (China); Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Vanderbilt Univ. Medical Ctr. (United States); Ying Wei, Northeastern Univ. (China); Ipek Oguz, Bennett A. Landman, Ilwoo Lyu, Vanderbilt Univ. (United States)
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Improving T1w MRI-based brain tumor segmentation using cross-modal distillation Paper Presentation
Paper 11596-28
Author(s): Masoomeh Rahimpour, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Karolien Goffin, Michel Koole, KU Leuven (Belgium)
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Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters Paper Presentation
Paper 11596-30
Author(s): Ryan A. Rava, Canon Stroke and Vascular Research Ctr. (United States); Alexander R. Podgorsak, Canon Stroke and Vascular Research Ctr. (United States), Univ. at Buffalo (United States); Muhammad Waqas, Univ. at Buffalo (United States), Canon Stroke and Vascular Research Ctr. (United States); Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Canon Stroke and Vascular Research Ctr. (United States), Univ. at Buffalo (United States); Ciprian N. Ionita, Univ. at Buffalo (United States), Canon Stroke and Vascular Research Ctr. (United States)
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Session 7: Adversarial Learning
Enhancing reproductive organ segmentation in pediatric CT via adversarial learning Paper Presentation
Paper 11596-31
Author(s): Chi Nok Enoch Kan, Taly Gilat-Schmidt, Dong Hye Ye, Marquette Univ. (United States)
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GAN based unsupervised segmentation: should we match the exact number of objects Paper Presentation
Paper 11596-32
Author(s): Quan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo, Vanderbilt Univ. (United States)
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Improved CycleGAN with application to COVID-19 classification Paper Presentation
Paper 11596-33
Author(s): Asaf Bar-El, Dana Cohen, Noa Cahan, Hayit Greenspan, Tel Aviv Univ. (Israel)
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Adversarial robustness study of convolutional neural network for lumbar disk shape reconstruction from MR images Paper Presentation
Paper 11596-34
Author(s): Jiasong Chen, Linchen Qian, Timur Urakov, Weiyong Gu, Liang Liang, Univ. of Miami (United States)
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Self-supervised monocular depth estimation in gastroendoscopy using GAN-augmented images Paper Presentation
Paper 11596-35
Author(s): Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Tokyo Institute of Technology (Japan); Sho Suzuki, Takuji Gotoda, Nihon Univ. of Medicine (Japan); Kenji Miki, Tsujinaka Hospital Kashiwanoha (Japan)
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SlabGAN: a method for generating efficient 3D anisotropic medical volumes using generative adversarial networks Paper Presentation
Paper 11596-36
Author(s): Jason L. Granstedt, Varun A. Kelkar, Univ. of Illinois (United States); Weimin Zhou, Washington Univ. in St. Louis (United States); Mark A. Anastasio, Univ. of Illinois (United States)
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TextureWGAN: texture preserving WGAN with MLE regularizer for inverse problems Paper Presentation
Paper 11596-37
Author(s): Masaki Ikuta, Jun Zhang, Univ. of Wisconsin-Milwaukee (United States)
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Session 8: Abdomen and Pelvis
Towards cascaded V-Net for automatic accurate kidney segmentation from abdominal CT images Paper Presentation
Paper 11596-38
Author(s): Xiongbiao Luo, Wankang Zeng, Wenkang Fan, Xiamen Univ. (China); Song Zheng, Jianhui Chen, Rong Liu, Fujian Medical Univ. Union Hospital (China); Zengqin Liu, Yinran Chen, Xiamen Univ. (China)
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Combined 3D super-resolution, de-noising and partial volume correction for percutaneous ablation Paper Presentation
Paper 11596-39
Author(s): Mark A. Pinnock, Yipeng Hu, Univ. College London (United Kingdom); Steve Bandula, Univ. College Hospital (United Kingdom); Dean C. Barratt, Univ. College London (United Kingdom)
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Automatic pancreas segmentation in abdominal CT image with contrast enhancement block Paper Presentation
Paper 11596-40
Author(s): Shengxue Pan, Dehui Xiang, Soochow Univ. (China); Yun Bian, Jianping Lu, Hui Jiang, Jianming Zheng, Changhai Hospital, The Navy Military Medical Univ. (China)
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Automation of population-based recurrence map for PSMA-PET prostate cancer patients after prostatectomy Paper Presentation
Paper 11596-41
Author(s): Bastien Rigaud, The Univ. of Texas M.D. Anderson Cancer Ctr. (United States); Pascale Beliveau, Ctr. Hospitalier de l'Univ. de Montréal (Canada); Guillaume Cazoulat, The Univ. of Texas M.D. Anderson Cancer Ctr. (United States); Daniel Juneau, Cynthia Ménard, Ctr. Hospitalier de l'Univ. de Montréal (Canada); Kristy Brock, The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)
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Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks Paper Presentation
Paper 11596-42
Author(s): Yucheng Tang, Vanderbilt Univ (United States); Riqiang Gao, Ho Hin Lee, Vanderbilt Univ. (United States); Zhoubing Xu, Siemens Healthineers (United States); Brent V. Savoie, Vanderbilt Univ. Medical Ctr. (United States); Shunxing Bao, Yuankai Huo, Vanderbilt Univ. (United States); Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Vanderbilt Univ. Medical Ctr. (United States); Jeffery M. Spraggins, Bennett A. Landman, Vanderbilt Univ. (United States)
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Session 10: Chest and Cardiac Imaging
Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk Paper Presentation
Paper 11596-46
Author(s): Riqiang Gao, Yucheng Tang, Kaiwen Xu, Vanderbilt Univ. (United States); Michael Kammer, Sanja Antic, Steve Deppen, Kim Sandler, Pierre Massion, Vanderbilt Univ. Medical Ctr. (United States); Yuankai Huo, Bennett A. Landman, Vanderbilt Univ. (United States)
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Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis Paper Presentation
Paper 11596-47
Author(s): Majd Zreik, Image Sciences Institute, Univ. Medical Ctr. Utrecht (Netherlands); Nils Hampe, Amsterdam UMC (Netherlands), Image Sciences Institute, Univ. Medical Ctr. Utrecht (Netherlands); Tim Leiner, Univ. Medical Ctr. Utrecht (Netherlands); Nadie Khalili, Image Sciences Institute, Univ. Medical Ctr. Utrecht (Netherlands); Jelmer M. Wolterink, Univ. of Twente (Netherlands), Amsterdam UMC (Netherlands), Image Sciences Institute, Univ. Medical Ctr. Utrecht (Netherlands); Michiel Voskuil, Univ. Medical Ctr. Utrecht (Netherlands); Max A. Viergever, Image Sciences Institute, Univ. Medical Ctr. Utrecht (Netherlands); Ivana Išgum, Amsterdam UMC (Netherlands), Image Sciences Institute, Univ. Medical Ctr. Utrecht (Netherlands)
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Development and characterization of a chest CT atlas Presentation
Paper 11596-48
Author(s): Kaiwen Xu, Riqiang Gao, Vanderbilt Univ. (United States); Mirza Khan, Vanderbilt Univ. Medical Ctr. (United States), Vanderbilt Univ. (United States), U.S. Dept. of Veterans Affairs (United States); Shunxing Bao, Yucheng Tang, Vanderbilt Univ. (United States); Steve Deppen, Vanderbilt Univ. Medical Ctr. (United States); Yuankai Huo, Vanderbilt Univ. (United States); Kim Sandler, Pierre Massion, Vanderbilt Univ. Medical Ctr. (United States); Mattias P. Heinrich, Univ. zu Lübeck (Germany); Bennett A. Landman, Vanderbilt Univ. (United States), Vanderbilt Univ. Medical Ctr. (United States)
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Three-dimensional segmentation of the scoliotic spine from MRI using unsupervised volume-based MR-CT synthesis Paper Presentation
Paper 11596-49
Author(s): Naga Karthik Enamundram, Catherine Laporte, Ecole de Technologie Supérieure (Canada); Farida Cheriet, Polytechnique Montréal (Canada)
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Graph attention networks for segment labeling in coronary artery trees Paper Presentation
Paper 11596-50
Author(s): Nils Hampe, Amsterdam UMC (Netherlands), Univ. of Amsterdam (Netherlands); Jelmer M. Wolterink, Univ. of Twente (Netherlands), Amsterdam UMC (Netherlands); Carlos Collet, Cardiovascular Ctr. OLV Aalst (Belgium); R. Nils Planken, Ivana Išgum, Amsterdam UMC (Netherlands)
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Session 11: Segmentation and Modeling
Automatic segmentation of the olfactory bulbs in MRI Paper Presentation
Paper 11596-51
Author(s): Julia Noothout, Univ. Medical Ctr. Utrecht (Netherlands), Univ. of Amsterdam (Netherlands); Elbrich Postma, Sanne Boesveldt, Wageningen Univ. & Research (Netherlands); Bob D. de Vos, Amsterdam UMC, Univ. of Amsterdam (Netherlands); Paul Smeets, Wageningen Univ. & Research (Netherlands); Ivana Išgum, Amsterdam UMC, Univ. of Amsterdam (Netherlands)
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Reconstruction and refinement of crossing muscle fibers in the human tongue Paper Presentation
Paper 11596-52
Author(s): Muhan Shao, Johns Hopkins Univ. (United States); Arnold D. Gomez, The Johns Hopkins Univ. School of Medicine (United States); Jiachen Zhuo, Xiao Liang, Univ. of Maryland School of Medicine (United States); Maureen Stone, Univ. of Maryland School of Dentistry (United States); Aaron Carass, Jerry L. Prince, Johns Hopkins Univ. (United States)
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Denoising digital breast tomosynthesis projections using convolutional neural networks Paper Presentation
Paper 11596-53
Author(s): Darlan M. Nakamura, Denis H. Salvadeo, Davi D. Paula, Univ. Estadual Paulista "Júlio de Mesquita Filho" (Brazil)
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Validation of active shape model techniques for intra-cochlear anatomy segmentation in CT images Paper Presentation
Paper 11596-54
Author(s): Rueben Banalagay, Robert F. Labadie, Jack H. Noble, Vanderbilt Univ. (United States)
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Session 12: Ultrasound Image Processing: Joint Session with Conferences 11596 and 11602
Tailored methods for segmentation of intravascular ultrasound images via convolutional neural networks Paper Presentation
Paper 11602-4
Author(s): Lennart Bargsten, Technische Univ. Hamburg-Harburg (Germany); Katharina A. Riedl, Universitätsherz- und Gefäßzentrum Hamburg (Germany); Tobias Wissel, Philips Research (Germany); Fabian J. Brunner, Universitätsherz- und Gefäßzentrum Hamburg (Germany); Klaus Schaefers, Philips Research (Netherlands); Johanna Sprenger, Technische Univ. Hamburg-Harburg (Germany); Michael Grass, Philips Research (Germany); Moritz Seiffert, Stefan Blankenberg, Universitätsherz- und Gefäßzentrum Hamburg (Germany); Alexander Schlaefer, Technische Univ. Hamburg-Harburg (Germany)
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An automated framework for image classification and segmentation of fetal ultrasound images for gestational age estimation Paper Presentation
Paper 11596-55
Author(s): Juan Carlos Prieto, Hina Shah, Alan Rosenbaum, The Univ. of North Carolina at Chapel Hill (United States); Xiaoning Jiang, North Carolina State Univ. (United States); Patrick Musonda, Univ. of Zambia (Zambia); Joan Price, Elizabeth M. Stringer, The Univ. of North Carolina at Chapel Hill (United States); Bellington Vwalika, Univ. of Zambia School of Medicine (Zambia); David Stamilio, Jeffrey Stringer, The Univ. of North Carolina at Chapel Hill (United States)
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Ultrasound GLCM texture analysis of radiation-induced acute toxicity following breast cancer radiotherapy Paper Presentation
Paper 11602-5
Author(s): Boran Zhou, Mingquan Lin, Xiaofeng Yang, The Winship Cancer Institute of Emory Univ. (United States); Simone Henry, Emory Univ. (United States); Jolinta Lin, The Winship Cancer Institute of Emory Univ. (United States); Karen Godette, Shannon T. Kahn, Emory Univ. (United States); Walter J. Curran, Mylin A. Torres, Tian Liu, The Winship Cancer Institute of Emory Univ. (United States)
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Assessing the generalizability of temporally coherent echocardiography video segmentation Paper Presentation
Paper 11596-56
Author(s): Yida Chen, Bucknell Univ. (United States); Xiaoyan Zhang, Christopher M. Haggerty, Geisinger Health (United States); Joshua V. Stough, Bucknell Univ. (United States)
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MPWC-Net++: evolution of optical flow pyramidal convolutional neural network for ultrasound elastography Paper Presentation
Paper 11602-6
Author(s): Ali Kafaei Zad Tehrani, Hassan Rivaz, Concordia Univ. (Canada)
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Session 13: Emerging Applications
Floor-of-the-mouth muscle function analysis using dynamic magnetic resonance imaging Paper Presentation
Paper 11596-57
Author(s): Fangxu Xing, Massachusetts General Hospital (United States); Maureen Stone, Univ. of Maryland, Baltimore (United States); Jerry L. Prince, Johns Hopkins Univ. (United States); Xiaofeng Liu, Georges El Fakhri, Jonghye Woo, Massachusetts General Hospital (United States)
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Correction of topological errors in automated traces of neurites Paper Presentation
Paper 11596-58
Author(s): Seyed Mostafa Mousavi Kahaki, Hang Deng, Armen Stepanyants, Northeastern Univ. (United States)
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Dental microfracture detection using wavelet features and machine learning Paper Presentation
Paper 11596-59
Author(s): Jared Vicory, Ramraj Chandradevan, Pablo Hernandez-Cerdan, Kitware, Inc. (United States); Wei A. Huang, Dani Fox, The Univ. of North Carolina at Chapel Hill (United States); Laith Abu Qdais, The Univ. of Texas at San Antonio (United States); Matthew McCormick, Kitware, Inc. (United States); Andre Mol, Rick Walter, James S. Marron, The Univ. of North Carolina at Chapel Hill (United States); Hassem Geha, Asma Khan, The Univ. of Texas at San Antonio (United States); Beatriz Paniagua, Kitware, Inc. (United States)
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Automated zone recognition for retinopathy of prematurity using deep neural network with attention mechanism and deep supervision strategy Paper Presentation
Paper 11596-60
Author(s): Yuanyuan Peng, Weifang Zhu, Soochow Univ. (China); Feng Chen, Guangzhou Women and Children's Medical Ctr. (China); Xinjian Chen, State Key Lab. of Radiation Medicine and Protection, Soochow Univ. (China)
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Construction of a multi-phase contrast computed tomography kidney atlas Paper Presentation
Paper 11596-61
Author(s): Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Vanderbilt Univ. (United States); Mattias P. Heinrich, Univ. zu Lübeck (Germany); Jeffery M. Spraggins, Yuankai Huo, Bennett A. Landman, Vanderbilt Univ. (United States)
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Random search as a neural network optimization strategy for Convolutional-Neural-Network (CNN)-based noise reduction in CT Paper Presentation
Paper 11596-62
Author(s): Nathan Huber, Andrew Missert, Hao Gong, Scott Hsieh, Shuai Leng, Lifeng Yu, Cynthia McCollough, Mayo Clinic (United States)
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Session 14: Posters
Deep learning-based 3D image generation using a single 2D projection image Paper Poster
Paper 11596-63
Author(s): Yang Lei, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang, The Winship Cancer Institute of Emory Univ. (United States)
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Joint optic disc and cup segmentation based on multi-module U-shaped network Paper Poster Presentation
Paper 11596-64
Author(s): Qianlong Zhu, Gaohui Luo, Soochow Univ. (China); Xinjian Chen, Soochow Univ. (China), State Key Lab. of Radiation Medicine and Protection, Soochow Univ. (China); Fei Shi, Soochow Univ. (China); Lingjiao Pan, Jiangsu Univ. of Technology (China); Weifang Zhu, Soochow Univ. (China)
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Validation of group-wise registration for surface-based functional MRI analysis Paper Poster Presentation
Paper 11596-65
Author(s): Chang Yu, Yue Liu, Leon Y. Cai, Cailey I. Kerley, Kaiwen Xu, Warren D. Taylor, Hakmook Kang, Vanderbilt Univ. (United States); Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, National Institutes of Health (United States); Bennett A. Landman, Ilwoo Lyu, Vanderbilt Univ. (United States)
Show Abstract
Multi-organ segmentation on head and neck dual-energy CT using Deep Neural Networks Paper Poster
Paper 11596-66
Author(s): Tonghe Wang, Yang Lei, Mark McDonald, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang, The Winship Cancer Institute of Emory Univ. (United States)
Show Abstract
Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching Paper
Paper 11596-67
Author(s): Richard Qiu, Yang Lei, Aparna Kesarwala, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang, The Winship Cancer Institute of Emory Univ. (United States)
Show Abstract
Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy Paper Poster Presentation
Paper 11596-68
Author(s): Yabo Fu, The Winship Cancer Institute of Emory Univ. (United States); Yang Lei, Emory Univ. (United States); Tonghe Wang, Sibo Tian, Pretesh Patel, Ashesh B. Jani, The Winship Cancer Institute of Emory Univ. (United States); Walter J. Curran, Emory Univ. (United States); Tian Liu, Xiaofeng Yang, The Winship Cancer Institute of Emory Univ. (United States)
Show Abstract
Segmentation of retinal detachment and retinoschisis in OCT images based on improved U-shaped network with cross-fusion global feature module Paper Poster Presentation
Paper 11596-69
Author(s): Changqing Yang, Soochow Univ. (China); Xinjian Chen, State Key Lab. of Radiation Medicine and Protection, Soochow Univ. (China); Jinzhu Su, Weifang Zhu, Soochow Univ. (China); Qiuying Chen, Jiayi Yu, Ying Fan, Shanghai General Hospital (China); Fei Shi, Soochow Univ. (China)
Show Abstract
Context attention-and-fusion network for multiclass retinal fluid segmentation in OCT images Paper Poster Presentation
Paper 11596-70
Author(s): Yanqing Ye, Soochow Univ. (China); Xinjian Chen, Soochow Univ. (China), State Key Lab. of Radiation Medicine and Protection, Soochow Univ. (China); Fei Shi, Dehui Xiang, Soochow Univ. (China); Lingjiao Pan, Jiangsu Univ. of Technology (China); Weifang Zhu, Soochow Univ. (China)
Show Abstract
Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy Paper Poster
Paper 11596-71
Author(s): Xianjin Dai, Yang Lei, James Janopaul-Naylor, Tonghe Wang, Justin Roper, Jun Zhou, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang, The Winship Cancer Institute of Emory Univ. (United States)
Show Abstract
Automated localization and segmentation of vertebrae in the micro-CT images of rabbit fetuses using 3D Convolutional Neural Networks Paper Poster
Paper 11596-72
Author(s): Antong Chen, Merck & Co., Inc. (United States); Saideep Gona, The Univ. of Chicago (United States); Dahai Xue, Regeneron Pharmaceuticals, Inc. (United States); Tosha Shah, Alexa Gleason, Barbara Robinson, Britta Mattson, Catherine Hines, Merck & Co., Inc. (United States)
Show Abstract
Super-resolution and deblurring enhancement for narrow band imaging bronchoscopy Paper Poster Presentation
Paper 11596-73
Author(s): Vahid Daneshpajooh, Saptarashmi Bandyopadhyay, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins, The Pennsylvania State Univ. (United States)
Show Abstract
Evaluation of U-net-based image segmentation model to digital mammography Paper Poster Presentation
Paper 11596-74
Author(s): Priscilla Cho, Emory Univ. (Georgia); Hong-Jun Yoon, Oak Ridge National Lab. (United States)
Show Abstract
Improvement of inter-slice resolution based on 2D CNN with thin bone structure-aware on head-and-neck CT images Paper Poster Presentation
Paper 11596-75
Author(s): Hee Rim Yun, Min Jin Lee, Helen Hong, Seoul Women's Univ. (Korea, Republic of); Kyu Won Shim, Yonsei Univ. College of Medicine (Korea, Republic of); Jonghong Jeon, Electronics and Telecommunications Research Institute (Korea, Republic of)
Show Abstract
Label super resolution for 3D magnetic resonance images using deformable U-net Paper Poster Presentation
Paper 11596-76
Author(s): Di Liu, Johns Hopkins Univ. (United States), Beijing Institute of Technology (China); Jiang Liu, Yihao Liu, Johns Hopkins Univ. (United States); Ran Tao, Beijing Institute of Technology (China); Jerry L. Prince, Aaron Carass, Johns Hopkins Univ. (United States)
Show Abstract
Enhancing Z-resolution in CT volumes with deep residual learning Paper Poster Presentation
Paper 11596-77
Author(s): Utkarsh Agrawal, Analytical Technologies Group, GE Healthcare (India); Aditya Hegde, International Institute of Information Technology, Bangalore (India); Rajesh Langoju, GE Healthcare (India); Prasad Sudhakar, Bhushan Patil, Analytical Technologies Group, GE Healthcare (India); Sundar R. K., GE Healthcare (India); Yasuhiro Imai, Risa Shigemasa, Omi Yasuo, GE Healthcare (Japan); Bipul Das, Analytical Technologies Group, GE Healthcare (India)
Show Abstract
Ring artifact removal method with generative adversarial network for the refraction-contrast computed tomography Paper Poster Presentation
Paper 11596-78
Author(s): Zhuoran Huang, Naoki Sunaguchi, Nagoya Univ. (Japan); Daisuke Shimao, Hokkaido Univ. of Science (Japan); Shu Ichihara, Nagoya Medical Ctr. (Japan); Tetsuya Yuasa, Yamagata Univ. (Japan); Masami Ando, Comprehensive Research Organization for Science and Society (Japan)
Show Abstract
FlyBy CNN: a 3D surface segmentation framework Paper Poster Presentation
Paper 11596-79
Author(s): Louis Boubolo, The Univ. of North Carolina at Chapel Hill (United States); Maxime Dumont, Serge Brosset, Jonas Bianchi, Antonio Ruellas, Marcela L. Gurgel, Camila Massaro, Aron Aliaga, Marcos Ioshida, Marilia S. Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Univ. of Michigan (United States); Beatriz Paniagua, Kitware, Inc. (United States); Lucia Cevidanes, Univ. of Michigan (United States); Martin Styner, Juan Carlos Prieto, The Univ. of North Carolina at Chapel Hill (United States)
Show Abstract
Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion Paper Poster
Paper 11596-80
Author(s): Yang Lei, Yabo Fu, Tonghe Wang, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang, The Winship Cancer Institute of Emory Univ. (United States)
Show Abstract
A generative adversarial framework for capillary non-perfusion regions segmentation in fundus fluorescein angiograms Paper Poster Presentation
Paper 11596-81
Author(s): Mulin Cai, Dehui Xiang, Shengxue Pan, Fei Shi, Weifang Zhu, Xinjian Chen, Soochow Univ. (China); Bei Tian, Beijing Tongren Eye Ctr., Beijing Tongren Hospital (China), Capital Medical Univ. (China)
Show Abstract
Automated brainstem parcellation using multi-atlas segmentation and deep neural network Paper Poster Presentation
Paper 11596-82
Author(s): Magnus Magnusson, Univ. of Iceland (Iceland); Askell Love, Univ. of Iceland (Iceland), Landspítali (Iceland); Lotta M. Ellingsen, Univ. of Iceland (Iceland)
Show Abstract
Automatic cerebral vessel extraction in TOF-MRA using deep learning Paper Poster Presentation
Paper 11596-83
Author(s): Vera de Vos, Kimberley Timmins, Irene van der Schaaf, Ynte Ruigrok, Birgitta Velthuis, Hugo J. Kuijf, Univ. Medical Ctr. Utrecht (Netherlands)
Show Abstract
Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging Paper Poster Presentation
Paper 11596-84
Author(s): Luis Albert Zavala-Mondragon, Technische Univ. Eindhoven (Netherlands); Klaus Juergen Engel, Bernd Menser, Philips Research (Netherlands); Danny Ruijters, Philips Healthcare (Netherlands); Peter H.N. de With, Fons van der Sommen, Eindhoven University of Technology (Netherlands)
Show Abstract
Bias field correction in 3D-MRIs using convolutional autoencoders. Paper Poster Presentation
Paper 11596-85
Author(s): Shashank Nelamangala Sridhara, Haleh Akrami, Vaishnavi Krishnamurthy, Anand Joshi, The Univ. of Southern California (United States)
Show Abstract
Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy Paper Poster Presentation
Paper 11596-86
Author(s): Huiqiao Xie, Yang Lei, Tonghe Wang, Yabo Fu, Xiangyang Tang, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang, The Winship Cancer Institute of Emory Univ. (United States)
Show Abstract
Automatic classification of benign and malignant kidney masses using radiomics. A retrospective study exploiting the KiTS19 dataset Paper Poster Presentation
Paper 11596-88
Author(s): Gianmarco Santini, Yvon Nzoughet Obame, Constance Fourcade, Noémie Moreau, Mathieu Rubeaux, KEOSYS (France)
Show Abstract
Diffusion MRI and silver standard masks to improve CNN-based thalamus segmentation Paper Poster Presentation
Paper 11596-89
Author(s): Gustavo R. Pinheiro, Univ. Estadual de Campinas (Brazil); Lorenza Brusini, Albulena Bajrami, Francesca B. Pizzini, Massimiliano Calabrese, Univ. degli Studi di Verona (Italy); Fabiano Reis, Simone Appenzeller, Univ. Estadual de Campinas (Brazil); Gloria Menegaz, Univ. degli Studi di Verona (Italy); Letícia Rittner, Univ. Estadual de Campinas (Brazil)
Show Abstract
Gland segmentation in pancreas histopathology images based on selective multi-scale attention Paper Poster Presentation
Paper 11596-90
Author(s): Changxing Yang, Dehui Xiang, Soochow Univ. (China); Yun Bian, Jianping Lu, Hui Jiang, Jianming Zheng, Changhai Hospital, The Navy Military Medical Univ. (China)
Show Abstract
A comparison study of deep learning designs for improving low-dose CT denoising Paper Poster Presentation
Paper 11596-91
Author(s): Vincent Wang, Stuyvesant High School (United States); Alice Wei, Staten Island Technical High School (United States); Jiaxing Tan, Siming Lu, Weiguo Cao, Yongfeng Gao, Stony Brook Univ. (United States)
Show Abstract
U-SDRC: a novel deep learning-based method for lesion enhancement in liver CT images Paper Poster Presentation
Paper 11596-92
Author(s): Zhongshu Zheng, Beijing Institute of Technology (China); Ling Ma, Nankai Univ. (China); Songxiao Yang, Said Boumaraf, Xiabi Liu, Beijing Institute of Technology (China); Xiaohong Ma, National Cancer Ctr. (China), National Clinical Research Ctr. for Cancer (China), Cancer Hospital (China)
Show Abstract
A deformable image registration based method to assess directionality of thoracic aortic aneurysm growth Paper Poster Presentation
Paper 11596-93
Author(s): Zhangxing Bian, Jiayang Zhong, Univ. of Michigan (United States); Charles R. Hatt, Imbio, LLC (United States); Nicholas S. Burris, Univ. of Michigan (United States)
Show Abstract
Progressive medical image annotation with convolutional neural network-based interactive segmentation method Paper Poster Presentation
Paper 11596-94
Author(s): Yunkun Bai, Guangmin Sun, Yu Li, Beijing Univ. of Technology (China); Le Shen, Li Zhang, Tsinghua Univ. (China)
Show Abstract
ProGNet: prostate gland segmentation on MRI with deep learning Paper Poster Presentation
Paper 11596-95
Author(s): Simon John Christoph Soerensen, Richard Fan, Arun Seetharaman, Leo Chen, Wei Shao, Indrani Bhattacharya, Stanford Univ. (United States); Michael Borre, Aarhus Univ. (Denmark); Benjamin Chung, Katherine To’o, Geoffrey Sonn, Mirabela Rusu, Stanford Univ. (United States)
Show Abstract
Motion correction in dynamic contrast-enhanced magnetic resonance images using pharmacokinetic modeling Paper Poster Presentation
Paper 11596-96
Author(s): Mia Mojica, Mehran Ebrahimi, Univ. of Ontario Institute of Technology (Canada)
Show Abstract
DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation Paper Poster Presentation
Paper 11596-98
Author(s): Ange Lou, Shuyue Guan, Murray H. Loew, The George Washington Univ. (United States)
Show Abstract
Localised 3D disparity regularisation for improving contour propagation in Adaptive Radiotherapy Paper Poster Presentation
Paper 11596-99
Author(s): Durai Arun Pannir Selvam, David I. Laurenson, The Univ. of Edinburgh (United Kingdom); William H. Nailon, The Univ. of Edinburgh (United Kingdom), Edinburgh Cancer Ctr. (United Kingdom); Duncan B. McLaren, Edinburgh Cancer Research UK Ctr. (United Kingdom)
Show Abstract
Segmentation of RBCC disruption and myopic stretch line in retinal OCT images using an improved U-shape network Paper Poster Presentation
Paper 11596-100
Author(s): Yichao Diao, Xinjian Chen, Soochow Univ. (China); Ying Fan, Jiamin Xie, Qiuying Chen, Shanghai General Hospital (China); Lingjiao Pan, Jiangsu Univ. of Technology (China); Weifang Zhu, Soochow Univ. (China)
Show Abstract
Segmenting microcalcifications in mammograms and its applications Paper Presentation
Paper 11596-101
Author(s): Roee Zamir, Weizmann Institute of Science (Israel); Shai Bagon, Weizmann Ctr. of Artificial Intelligence (Israel); David Samocha, Yael Yagil, The Chaim Sheba Medical Ctr., Tel Hashomer (Israel); Ronen Basri, Weizmann Institute of Science (Israel); Miri Sklair-Levy, The Chaim Sheba Medical Ctr., Tel Hashomer (Israel); Meirav Galun, Weizmann Institute of Science (Israel)
Show Abstract
A latent space exploration for microscopic skin lesion augmentations with VQ-VAE-2 and PixelSNAIL Paper Poster Presentation
Paper 11596-102
Author(s): Alessio Gallucci, Technische Univ. Eindhoven (Netherlands); Nicola Pezzotti, Philips Research (Netherlands), Technische Univ. Eindhoven (Netherlands); Dmitry Znamenskiy, Philips Research (Netherlands); Milan Petkovic, Philips Research (Netherlands), Technische Univ. Eindhoven (Netherlands)
Show Abstract
SANet: a self-adaptive network for hyperreflective foci segmentation in retinal OCT images Paper Poster Presentation
Paper 11596-103
Author(s): Chenpu Yao, Weifang Zhu, Meng Wang, Liangjiu Zhu, Soochow Univ. (China); Haifan Huang, Shantou Univ. (China); Haoyu Chen, Joint Shantou International Eye Ctr. (China); Xinjian Chen, Soochow Univ. (China)
Show Abstract
Drusen segmentation with sparse volumetric SD-OCT sampling Paper Poster Presentation
Paper 11596-104
Author(s): Abum F. Okemgbo, Univ. of Pennsylvania (United States); Irving D. Rein, Duke Univ. (United States); Yiyang Wang, DePaul Univ. (United States); Amani Fawzi, Northwestern Univ. (United States); Jacob Furst, Daniela Raicu, DePaul Univ. (United States)
Show Abstract
Joint cortical surface and structural connectivity analysis of Alzheimer’s disease Paper Poster Presentation
Paper 11596-105
Author(s): Leon Y. Cai, Cailey I. Kerley, Chang Yu, Katherine S. Aboud, Vanderbilt Univ. (United States); Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, National Institute on Aging (United States); Lori C. Jordan, Vanderbilt Univ. Medical Ctr. (United States); Adam W. Anderson, Vanderbilt Univ. (United States); Kurt G. Schilling, Vanderbilt Univ. Medical Ctr. (United States); Ilwoo Lyu, Bennett A. Landman, Vanderbilt Univ. (United States)
Show Abstract
Style encoding for class-specific image generation Paper Poster Presentation
Paper 11596-106
Author(s): Dana Cohen, Raja Giryes, Hayit Greenspan, Tel Aviv Univ. (Israel)
Show Abstract
Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN Paper Poster
Paper 11596-107
Author(s): Tonghe Wang, Yang Lei, Sibo Tian, Tian Liu, Walter J. Curran, Kristin Higgins, Xiaofeng Yang, The Winship Cancer Institute of Emory Univ. (United States)
Show Abstract
Anatomy recognition in CT images of head and neck region via precision atlases Paper Poster Presentation
Paper 11596-108
Author(s): Jieyu Li, Shanghai Jiao Tong Univ. (China), Univ. of Pennsylvania (United States); Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Drew A. Torigian, Univ. of Pennsylvania (United States)
Show Abstract
Thalamus segmentation using convolutional neural networks Poster Presentation
Paper 11596-109
Author(s): Shangxian L. Wang, Shuo Han, Aaron Carass, Johns Hopkins Univ. (United States); Jiachen Zhuo, Steven Roys, Rao P. Gullapalli, Li Jiang, University of Maryland School of Medicine (United States); Jerry L. Prince, Johns Hopkins Univ. (United States)
Show Abstract
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach Paper Poster Presentation
Paper 11596-110
Author(s): Endi Selmanaj, Fons van der Sommen, Sanne E. Okel, Joost A. van der Putten, Technische Univ. Eindhoven (Netherlands); Maarten R. Struyvenberg, Jacques J. Bergman, Amsterdam UMC (Netherlands); Peter H. N. de With, Technische Univ. Eindhoven (Netherlands)
Show Abstract
Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset Paper Poster Presentation
Paper 11596-111
Author(s): Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Univ. College Dublin (Ireland); Kris Sankaran, Univ. of Wisconsin-Madison (United States); Kathleen M. Curran, Univ. College Dublin (Ireland)
Show Abstract
Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scans Paper Poster Presentation
Paper 11596-112
Author(s): Can Luo, Vanderbilt Univ. (United States); James Terry, Vanderbilt Univ. Medical Ctr. (United States); Yucheng Tang, Kaiwen Xu, Pierre Massion, Vanderbilt Univ. (United States); Bennett A. Landman, Jeffrey Carr, Vanderbilt Univ. Medical Ctr. (United States); Yuankai Huo, Vanderbilt Univ. (United States)
Show Abstract
HydraNet: a multi-branch convolutional neural network architecture for MRI denoising Paper Poster Presentation
Paper 11596-113
Author(s): Stephen Gregory, The Univ. of Alabama (United States); Hu Cheng, Indiana Univ. (United States); Sharlene Newman, Yu Gan, The Univ. of Alabama (United States)
Show Abstract
A vertebral level-wise data augmentation scheme for segmentation via deep learning Paper Poster Presentation
Paper 11596-114
Author(s): Shaoju Wu, Yunliang Cai, Worcester Polytechnic Institute (United States); Xiaoyao Fan, Sohail K. Mirza, Keith D. Paulsen, Dartmouth College (United States); Songbai Ji, Worcester Polytechnic Institute (United States)
Show Abstract
Variational autoencoders with a structural similarity loss in time of flight MRAs Paper Poster Presentation
Paper 11596-115
Author(s): Kimberley Timmins, Irene van der Schaaf, Ynte Ruigrok, Birgitta Velthuis, Hugo J. Kuijf, Univ. Medical Ctr. Utrecht (Netherlands)
Show Abstract
SGCNet: a scale-aware and global context network for linear lesion segmentation in MCSL fundus images of high myopia Paper Poster Presentation
Paper 11596-116
Author(s): Gaohui Luo, Qianlong Zhu, Xinjian Chen, Fei Shi, Soochow Univ. (China); Ying Fan, Jiamin Xie, Qiuying Chen, Shanghai General Hospital (China); Lingjiao Pan, Jiangsu Univ. of Technology (China); Weifang Zhu, Soochow Univ. (China)
Show Abstract
Co-localization of fluorescent signals using deep learning with Manders overlapping coefficient Paper Poster Presentation
Paper 11596-117
Author(s): Yimeng Dou, Univ. of Wisconsin-Madison (United States); Yi-hua Tsai, Chih-Chieh Liu, Univ. of California, Davis (United States); Brad A. Hobson, Ctr. for Molecular and Genomic Imaging, Univ. of California, Davis (United States); Pamela J. Lein, Univ. of California, Davis (United States)
Show Abstract
Keypoint matching networks for longitudinal fundus image affine registration Paper Poster Presentation
Paper 11596-118
Author(s): Yunzhen Peng, Xinjian Chen, Dehui Xiang, Gaohui Luo, Mulin Cai, Soochow Univ. (China)
Show Abstract
Noise characteristics in low to high kVp domain translation with Deep Regression Network Paper Poster Presentation
Paper 11596-119
Author(s): Vanika Singhal, Rajesh Langoju, Sidharth Abrol, Utkarsh Agrawal, Bhushan D. Patil, GE Healthcare (India); Sandeep Dutta, GE Healthcare (United States); Bipul Das, GE Healthcare (India)
Show Abstract
Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning Paper Poster Presentation
Paper 11596-120
Author(s): Tong Zheng, Masahiro Oda, Nagoya Univ. (Japan); Chenglong Wang, East China Normal Univ. (China); Takayasu Moriya, Yuichiro Hayashi, Nagoya Univ. (Japan); Yoshito Otake, Nara Institute of Science and Technology (Japan); Masahiro Hashimoto, Keio Univ. School of Medicine (Japan); Toshiaki Akashi, Juntendo Univ. (Japan); Masaki Mori, Sapporo Kosei Hospital (Japan); Hirotsugu Takabatake, Minami Sanjyo Hospital (Japan); Hiroshi Natori, Nishioka Hospital (Japan); Kensaku Mori, Nagoya Univ. (Japan)
Show Abstract
COVID-19 detection using image analysis methods on CT images Paper Poster
Paper 11596-121
Author(s): Mohamed I. Elbakary, Elizabeth City State Univ. (United States); Khan Iftekharuddin, Old Dominion Univ. (United States)
Show Abstract
Improving deformable image registration accuracy using a hybrid similarity metric for adaptive radiation therapy Paper Poster Presentation
Paper 11596-122
Author(s): Keyur Shah, James A. Shackleford, Nagarajan Kandasamy, Drexel Univ. (United States); Gregory C. Sharp, Massachusetts General Hospital (United States)
Show Abstract
Generalizability of a deep learning airway segmentation algorithm to a blinded low-dose CT dataset Paper Poster Presentation
Paper 11596-123
Author(s): Syed Ahmed Nadeem, Alejandro P. Comellas, Eric A. Hoffman, Punam K. Saha, The Univ. of Iowa (United States)
Show Abstract
Deep segmentation of abdominal organs from MRI: off-the- shelf architectures and improvements Paper
Paper 11596-124
Author(s): Pedro Furtado, Univ. de Coimbra (Portugal)
Show Abstract
Synthetic atrophy for longitudinal surface-based cortical thickness measurement Paper Poster Presentation
Paper 11596-125
Author(s): Kathleen Larson, Ipek Oguz, Vanderbilt Univ. (United States)
Show Abstract
Front Matter: Volume 11596
Conference Committee
Conference Chairs
Program Committee
Program Committee continued...
  • 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)
  • Jhimli Mitra, GE Global Research (United States)
  • 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)
  • Mads Nielsen, Niels Bohr Institute (Denmark)
  • Ipek Oguz, Vanderbilt 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)
  • Maryam E. Rettmann, Mayo Clinic (United States)
  • Letícia Rittner, Univ. Estadual de Campinas (Brazil)
  • Mirabela Rusu, Stanford Univ. School of Medicine (United States)
  • Punam K. Saha, The Univ. of Iowa (United States)
  • Lin Shi, The Chinese Univ. of Hong Kong (China)
  • Rachel E. Sparks, King's College London (United Kingdom)
  • 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)
  • Tanveer F. Syeda-Mahmood, IBM Research - Almaden (United States)
  • Raphael Sznitman, Univ. Bern (Switzerland)
  • Zeike A. Taylor, Univ. of Leeds (United Kingdom)
  • Yubing Tong, Univ. of Pennsylvania (United States)
  • Jayaram K. Udupa, Univ. of Pennsylvania (United States)
  • Koen Van Leemput, Harvard Medical School (United States), Massachusetts General Hospital (United States)
  • Tomaž Vrtovec, Univ. of Ljubljana (Slovenia)
  • Wolfgang Wein, ImFusion GmbH (Germany)

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