Marriott Marquis Houston
Houston, Texas, United States
15 - 20 February 2020
Conference 11313
Image Processing
Monday - Thursday 17 - 20 February 2020
Conference
Committee
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Conference Chairs
  • Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands)
  • Bennett A. Landman, Vanderbilt Univ. (United States)

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)
  • Jiantao Pu, Univ. of Pittsburgh (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)
  • 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)

Additional Conference
Information
SPIE Course Alert

See SPIE Course offerings on:
Image Processing

Pre-registration is required for SPIE Courses.
Monday 17 February Show All Abstracts
Session 1:
Image Synthesis, GANs, and Novel Architectures
Monday 17 February 2020
1:20 PM - 3:40 PM
Location: Briargrove
Session Chairs:
Punam Kumar Saha, The Univ. of Iowa (United States) ;
Mirabela Rusu, Stanford Univ. School of Medicine (United States)
Multi-modality MRI arbitrary transformation using unified generative adversarial networks
Paper 11313-1
Time: 1:20 PM - 1:40 PM
Author(s): Yang Lei, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang, Emory Univ. (United States)
Show Abstract
Joint intensity fusion with normalized cross-correlation metric for cross-modality MRI synthesis
Paper 11313-2
Time: 1:40 PM - 2:00 PM
Author(s): Kathryn Ufford, Vanderbilt Univ. (United States); Simon Vandekar, Vanderbilt Univ. Medical Ctr. (United States); Ipek Oguz, Vanderbilt Univ. (United States)
Show Abstract
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database
Paper 11313-3
Time: 2:00 PM - 2:20 PM
Author(s): Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Nagoya 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
Transfer generative adversarial network for multimodal CT image super-resolution
Paper 11313-4
Time: 2:20 PM - 2:40 PM
Author(s): Yao Xiao, Ruogu Fang, Univ. of Florida (United States)
Show Abstract
GANet: Group Attention Network for Diabetic Retinopathy image segmentation
Paper 11313-5
Time: 2:40 PM - 3:00 PM
Author(s): Lei Ye, Weifang Zhu, Shuanglang Feng, Xinjian Chen, Soochow Univ. (China)
Show Abstract
Fully automated segmentation of hyperreflective foci in OCT images using a U-shape network
Paper 11313-6
Time: 3:00 PM - 3:20 PM
Author(s): Weifang Zhu, Shuanglang Feng, Xinjian Chen, Soochow Univ. (China)
Show Abstract
Adversarial domain adaptation for multi-device retinal OCT segmentation
Paper 11313-7
Time: 3:20 PM - 3:40 PM
Author(s): Yufan He, Aaron Carass, Yihao Liu, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince, Johns Hopkins Univ. (United States)
Show Abstract
Coffee Break 3:40 PM - 4:00 PM
Session Plen:
Awards and Plenary Session
Monday 17 February 2020
4:00 PM - 5:15 PM
Location: Salon F

Session Chairs: Metin N. Gurcan, Wake Forest Baptist Medical Ctr. (United States) and Georgia D. Tourassi, Oak Ridge National Lab. (United States)

4:00 PM - 4:30 PM: Award presentations
Are today's Mixed Reality experience pillars and hardware architectures well aligned with the specific needs of medical imaging and surgical guidance? (Plenary Presentation)
Paper 11313-8
Time: 4:30 PM - 5:15 PM
Author(s): Bernard C. Kress, Microsoft Corp. (United States)
Show Abstract
Tuesday 18 February Show All Abstracts
Session 2:
Image Analysis in Ultrasound and OCT: Joint Session with Conferences 11313 and 11319
Tuesday 18 February 2020
8:00 AM - 9:40 AM
Location: Salon C
Session Chairs:
Jayaram K. Udupa, Penn Medicine (United States) ;
Nicole V. Ruiter, Karlsruher Institut für Technologie (Germany)
Deep learning-based breast tumor detection and segmentation in 3D ultrasound image
Paper 11319-35
Time: 8:00 AM - 8:20 AM
Author(s): Yang Lei, Emory Univ. (United States); Jincao Yao, Zhejiang Cancer Hospital (China); Xiuxiu He, Emory Univ. (United States); Dong Xu, Zhejiang Cancer Hospital (China); Walter J. Curran, Tian Liu, Xiaofeng Yang, Emory Univ. (United States)
Show Abstract
Unsupervised motion tracking of left ventricle in echocardiography
Paper 11319-36
Time: 8:20 AM - 8:40 AM
Author(s): Shawn Ahn, Kevinminh Ta, Yale Univ. (United States); Allen Lu, EchoNous Inc. (United States); John C. Stendahl, Albert J. Sinusas, James S. Duncan, Yale Univ. (United States)
Show Abstract
Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networks
Paper 11313-9
Time: 8:40 AM - 9:00 AM
Author(s): Joshua V. Stough, Bucknell Univ. (United States), Geisinger Health (United States); Sushravya Raghunath, John M. Pfeifer, Brandon K. Fornwalt, Christopher M. Haggerty, Geisinger Health (United States)
Show Abstract
Multiresolution LOGISMOS graph search for automated choroidal layer segmentation of 3D macular OCT scans
Paper 11313-10
Time: 9:00 AM - 9:20 AM
Author(s): Kyungmoo Lee, Elliott H. Sohn, Honghai Zhang, Alexis K. Warren, Andreas Wahle, S. Scott Whitmore, Milan Sonka, Michael D. Abramoff, The Univ. of Iowa (United States)
Show Abstract
Self-fusion for OCT noise reduction
Paper 11313-11
Time: 9:20 AM - 9:40 AM
Author(s): Ipek Oguz, Joseph Malone, Yigit Atay, Yuankai K. Tao, Vanderbilt Univ. (United States)
Show Abstract
Coffee Break 9:40 AM - 10:10 AM
Session 3:
Lesions and Pathologies
Tuesday 18 February 2020
10:10 AM - 12:10 PM
Location: Salon C
Session Chairs:
Ipek Oguz, Vanderbilt Univ. (United States) ;
Kenji Suzuki, Tokyo Institute of Technology (Japan)
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging
Paper 11313-12
Time: 10:10 AM - 10:30 AM
Author(s): Riqiang Gao, Lingfeng Li, Yucheng Tang, Vanderbilt Univ. (United States); Sanja L. Antic, Alexis Paulson, Yuankai Huo, Kim Sandler, Pierre P. Massion, Vanderbilt Univ. Medical Ctr. (United States); Bennett A. Landman, Vanderbilt Univ. (United States)
Show Abstract
Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies
Paper 11313-13
Time: 10:30 AM - 10:50 AM
Author(s): Zhenmei Yu, Shandong Women's Univ. (China); Shuchao Pang, Mehmet A. Orgun, Yan Wang, Macquarie Univ. (Australia); Hong Lin, Univ. of Houston-Downtown (United States)
Show Abstract
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection
Paper 11313-14
Time: 10:50 AM - 11:10 AM
Author(s): Samuel W. Remedios, Henry M. Jackson Foundation (United States); Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Vanderbilt Univ. (United States); Snehashis Roy, Henry M. Jackson Foundation (United States); Mayur B. Patel, Vanderbilt Univ. Medical Ctr. (United States); John A. Butman, National Institutes of Health (United States); Bennett A. Landman, Vanderbilt Univ. (United States); Dzung L. Pham, Henry M. Jackson Foundation (United States)
Show Abstract
Coronary artery calcium scoring: can we do better?
Paper 11313-15
Time: 11:10 AM - 11:30 AM
Author(s): Sanne Van Velzen, Univ. Medical Ctr. Utrecht (Netherlands); Bob D. de Vos, Amsterdam UMC (Netherlands); Helena Verkooijen, Tim Leiner, Max Viergever, Univ. Medical Ctr. Utrecht (Netherlands); Ivana Išgum, Amsterdam UMC (Netherlands)
Show Abstract
Finding novelty with uncertainty
Paper 11313-16
Time: 11:30 AM - 11:50 AM
Author(s): Jacob C. Reinhold, Yufan He, Johns Hopkins Univ. (United States); Shizhong Han, Yunqiang Chen, Dashan Gao, 12 Sigma Technologies Ltd. (United States); Junghoon Lee, The Johns Hopkins Univ. School of Medicine (United States); Jerry L. Prince, Aaron Carass, Johns Hopkins Univ. (United States)
Show Abstract
Towards reduced-preparation Spectral-CT-colonography utilizing local covariance
Paper 11313-17
Time: 11:50 AM - 12:10 PM
Author(s): Rafael Wiemker, Tobias Klinder, Jörg Sabczynski, Philips Research (Germany); Amar Dhanantwari, Philips Healthcare (United States); Chansik An, Benjamin Yeh, Univ. of California, San Francisco (United States); Judy Yee, Montefiore Medical Ctr. (United States)
Show Abstract
Tuesday/Wednesday Poster Viewing
Tuesday 18 February 2020
12:00 PM - 9:00 PM
Location: Salon D/E

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 4:
Machine Learning and Deep Learning
Tuesday 18 February 2020
1:20 PM - 3:00 PM
Location: Salon C
Session Chairs:
Olivier Colliot, Ctr. National de la Recherche Scientifique (France) ;
Jhimli Mitra, GE Global Research (United States)
Estimation of four-dimensional CT-based imaging biomarker of liver fibrosis using finite element method
Paper 11313-18
Time: 1:20 PM - 1:40 PM
Author(s): Koya Fujimoto, Takehiro Shiinoki, Yuki Yuasa, Yamaguchi Univ. (Japan)
Show Abstract
Multilevel survival analysis with structured penalties for imaging genetics data
Paper 11313-19
Time: 1:40 PM - 2:00 PM
Author(s): Pascal Lu, Olivier Colliot, Institut du Cerveau et de la Moelle Épinière (France)
Show Abstract
Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning
Paper 11313-20
Time: 2:00 PM - 2:20 PM
Author(s): Camilo Bermudez, Justin Blaber, Vanderbilt Univ. (United States); Samuel W. Remedios, Henry M. Jackson Foundation (United States); Jess E. Reynolds, Catherine Lebel, Univ. of Calgary (Canada); Maureen McHugo, Stephan Heckers, Vanderbilt Univ. Medical Ctr. (United States); Yuankai Huo, Bennett A. Landman, Vanderbilt Univ. (United States)
Show Abstract
Deep learning and multi-contrast based denoising for low-SNR Arterial Spin Labeling (ASL) MRI
Paper 11313-21
Time: 2:20 PM - 2:40 PM
Author(s): Enhao Gong, Subtle Medical, Inc. (United States); Jia Guo, Jiang Liu, John Pauly, Greg Zaharchuk, Stanford Univ. (United States)
Show Abstract
Motion artifact reduction in brain Magnetic Resonance Imaging (MRI) by means of a Dense Residual Network with K-space Blending (DRN-KB)
Paper 11313-22
Time: 2:40 PM - 3:00 PM
Author(s): Junchi Liu, Illinois Institute of Technology (United States); Jie Deng, Rush Univ. Medical Ctr. (United States)
Show Abstract
Coffee Break 3:00 PM - 3:30 PM
Session 5:
Registration
Tuesday 18 February 2020
3:30 PM - 4:50 PM
Location: Salon C
Session Chairs:
Murray H. Loew, The George Washington Univ. (United States) ;
Mirabela Rusu, Stanford Univ. School of Medicine (United States)
Deformable alignment of longitudinal postoperative brain GBM scans using deep learning
Paper 11313-23
Time: 3:30 PM - 3:50 PM
Author(s): Yi Lao, Victoria Yu, Univ. of California, Los Angeles (United States); Eric Chang, Wensha Yang, The Univ. of Southern California (United States); Ke Sheng, Univ. of California, Los Angeles (United States)
Show Abstract
An adversarial machine learning based approach and biomechanically-guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT for adaptive prostate radiotherapy applications
Paper 11313-24
Time: 3:50 PM - 4:10 PM
Author(s): Anand P. Santhanam, Michael Lauria, Univ. of California, Los Angeles (United States); Daniel Elliott, Saty Seshan, SegAna, LLC (United States); Scott Hsieh, Minsong Cao, Daniel Low, Univ. of California, Los Angeles (United States)
Show Abstract
Deep learning based CT-CBCT image registration for adaptive radio therapy
Paper 11313-25
Time: 4:10 PM - 4:30 PM
Author(s): Sven Kuckertz, Nils Papenberg, Fraunhofer Institute for Digital Medicine MEVIS (Germany); Jonas Honegger, Tomasz Morgas, Benjamin Haas, Varian Medical Systems, Inc. (Switzerland); Stefan Heldmann, Fraunhofer Institute for Digital Medicine MEVIS (Germany)
Show Abstract
Mutual information for unsupervised deep learning image registration
Paper 11313-26
Time: 4:30 PM - 4:50 PM
Author(s): Bob D. de Vos, Bas van der Velden, Jörg Sander, Kenneth Gilhuijs, Univ. Medical Ctr. Utrecht (Netherlands); Marius Staring, Leiden Univ. Medical Ctr. (Netherlands); Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands)
Show Abstract
Session WK2:
WORKSHOP: Translation of Deep Learning Technology to the Clinic
Tuesday 18 February 2020
5:00 PM - 7:00 PM
Location: Salon C
Session Chair:
Mads Nielsen, Univ. of Copenhagen (Denmark)

The medical AI market is expected to break 2 billion USD revenue within 5 years. While promising, we still need to overcome several barriers including technological robustness, clinical validation, regulatory compliance, market acceptance and financial risks. In a number of presentations we focus on the barriers and how to overcome these seen from start-up, regulators, and commercial perspectives.

Program:

5:00 PM Introduction by Hayit Greenspan, Tel Aviv Univ. (Israel) and Mads Nielsen, Univ. of Copenhagen (Denmark)
5:10 PM Nico Karssemeijer - The start-up perspective
5:35 PM Stephen Aylward - The technology perspective
6:00 PM Weijie Chen - The regulatory perspective
6:25 PM Ole Graumann - The radiologist perspective
6:50 PM Discussion of learnings and Q & A

Nico Karssemeijer, Radboud University Medical Ctr. (Netherlands) and Screenpoint (United States)

Nico Karssemeijer is professor of Computer-Aided Diagnosis. He studied Physics at Delft University of Technology and graduated at the Radboud University Nijmegen, department of Medical Physics. In 1989 he joined the Department of Radiology of the Radboud University Nijmegen Medical Center, where he formed a research group in computer aided detection (CAD). His professorship is in the Faculty of Science of the Radboud University in the section Intelligent Systems of the Institute for Computing and Information Sciences iCIS. He is Associate Editor of IEEE Transactions on Medical Imaging, and member of the Editorial Boards of Physics in Medicine and Biology and Medical Image Analysis. In 2012 and 2013 he was symposium chair of SPIE Medical Imaging while previously he chaired IWDM98 and IPMI 2007. Nico Karssemeijer was closely involved in the development of the R2 ImageChecker, the most widely used CAD system to date, and is co-founder of Matakina, Ltd. (Wellington, New Zealand), a company that develops technology for quantitative mammography. In 2014, he founded ScreenPoint, a company developing image analysis technology for automated reading of mammograms and digital breast tomosynthesis.

Stephen Aylward, Kitware, Inc. (United States) - "Delivering Clinical Deep Learning Algorithms"

Dr. Watson paved the way for AI systems to broadly impact patient care because it by brought many important issues surrounding data transfer, data gathering, and AI algorithm limitations into the collective consciousness of clinicians, hospital administrators, patients, and product developers. These advances have significantly reduced the barriers for large and small businesses to deliver deep learning algorithms as clinical products. However, the technologies underlying these products are still rapidly evolving, e.g., involving cloud computing, edge computing, and mobile computing as well as AR and VR systems. In this talk we will discuss recent advances, existing practical solutions, and future opportunities for delivering technologically effective clinical deep learning solutions.

Stephen R. Aylward, Ph.D. is Senior Director of Strategic Initiatives at Kitware. Kitware provides consultation in medical imaging, computer vision, data analytics, and scientific computing. Kitware also produces several open-source platforms such as the Visualization Toolkit (VTK), the Insight Toolkit (ITK), ParaView, CMake, and 3D Slicer. Stephen's research currently involves point-of-care ultrasound applications, image registration in the presence of large pathologies, and vascular network characterization for disease assessment.

Weijie Chen, U.S. Food and Drug Administration (United States) - "Assessment of AI/ML based devices in medical imaging applications"

Artificial intelligence and machine learning algorithms, currently dominated by deep learning neural networks, are widely used in medical imaging applications from radiology to pathology and optical imaging, etc. Assessment methodologies play a critical role in translating such technologies to the clinic to benefit patients: to reasonably ensure safety and effectiveness on the one hand and to do so in an efficient manner on the other. In this talk, I will briefly overview assessment methods that are currently in use. We will then discuss a few topics that warrant further research including: reproducibility of highly complex algorithms, continuous-learning AI/ML, monitoring AI/ML performance with an imperfect reference standard, and assessment of AI/ML for ruling out images from the physician’s review. We conclude that this is an exciting time for AI/ML and we call for consensus-oriented collaborative efforts to move the field forward.

Weijie Chen received his PhD in medical physics from the University of Chicago, Chicago, Illinois, in 2007. Since then, he has been a research scientist at the Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland. His research interests include assessment methodologies for artificial intelligence and machine learning algorithms with applications in radiology, digital pathology and beyond, computer-aided diagnosis in medical imaging, and reader studies.

Ole Graumann, Odense Univ. Hospital (Denmark) - "What deep learning technology does the clinic need?"

The amount of diagnostic imaging is increasing worldwide. It is estimated that CT and MRI alone have an increase around 8-10% annually. At the same time the number of Radiologist is not rising at the same pace. This presentation will give an insight to the radiologist perspective on where deep learning technology can help us up front now and in the near future: Referral, visitation, booking, selection of image protocol, reduction of unnecessary images to reduce scan time, image interpretation and automatically reporting. The presentation will also touch the importance of the evidence based holistic approach when a new technology is implemented in the clinic.

Dr. Graumann is board certified in Radiology. He has special interests in Oncology Intervention and is one of the leading experts in Europe within Cryo ablation of Renal Cancer. Dr. Graumann has, in an impressive innovative way, built an extremely effective teamwork-based CT intervention team. People from around the world are visiting the CT intervention team at OUH to see and get inspiration from the workflow. Dr. Graumann is a proctor and has trained many colleagues in Northern Europe. Dr. Graumann currently serves as the Head of Research and Innovation Unit of Radiology at University of Southern Denmark. Dr. Graumann has led and participated in a multitude of clinical trials and research. He is currently main- and co-supervisor for many PhD and post-doctoral students. His largest research area presently is Cryo ablation, Artificial Intelligence, clinical skill training and education. Dr. Graumann has written and contributed to a number of scientific books and published works within the subject of radiology. Dr. Graumann is becoming Professor of Radiology within the near future.
Wednesday 19 February Show All Abstracts
Session 6:
fMRI and DTI
Wednesday 19 February 2020
8:00 AM - 9:40 AM
Location: Salon C
Session Chairs:
Juan Carlos Prieto, The Univ. of North Carolina at Chapel Hill (United States) ;
Mads Nielsen, Univ. of Copenhagen (Denmark)
Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI
Paper 11313-27
Time: 8:00 AM - 8:20 AM
Author(s): Vishwesh Nath, Vanderbilt Univ. (United States); Sudhir K. Pathak, Univ. of Pittsburgh (United States); Kurt G. Schilling, Vanderbilt Univ. (United States); Walter Schneider, Univ. of Pittsburgh (United States); Bennett A. Landman, Vanderbilt Univ. (United States)
Show Abstract
Anatomically-informed data augmentation for functional MRI with applications to deep learning
Paper 11313-28
Time: 8:20 AM - 8:40 AM
Author(s): Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo, The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Show Abstract
Neural effect induced by exercise intervention can be categorized by altered functional connectivity in early psychotic patients
Paper 11313-29
Time: 8:40 AM - 9:00 AM
Author(s): Xiujuan Geng, The Chinese Univ. of Hong Kong (China); Peilun Song, Zhengzhou Univ. (China); Eric Y. H. Chen, The Univ. of Hong Kong (China); Yaping Wang, Zhengzhou Univ. (China); Jingxia Lin, The Univ. of Hong Kong (China)
Show Abstract
Association between fMRI brain entropy features and behavioral measures
Paper 11313-30
Time: 9:00 AM - 9:20 AM
Author(s): Shengchao Zhang, Catie Chang, Vanderbilt Univ. (United States)
Show Abstract
Numerical DWI phantoms to optimize accuracy and precision of quantitative parametric maps for non-Gaussian diffusion
Paper 11313-31
Time: 9:20 AM - 9:40 AM
Author(s): Dariya Malyarenko, Yuxi Pang, Ghoncheh Amouzandeh, Thomas L. Chenevert, Univ. of Michigan (United States)
Show Abstract
Coffee Break 9:40 AM - 10:10 AM
Session 7:
Keynote and Highlights
Wednesday 19 February 2020
10:10 AM - 12:10 PM
Location: Salon C
Session Chairs:
James C. Gee, Univ. of Pennsylvania (United States) ;
Jhimli Mitra, GE Global Research (United States)
Bringing machine learning to the clinic - spportunities and challenges (Keynote Presentation)
Paper 11313-32
Time: 10:10 AM - 11:10 AM
Author(s): Tim Leiner, Univ. Medical Ctr. Utrecht (Netherlands)
Show Abstract
Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiography
Paper 11313-33
Time: 11:10 AM - 11:30 AM
Author(s): Yihao Liu, Lianrui Zuo, Aaron Carass, Yufan He, Johns Hopkins Univ. (United States); Angeliki Filippatou, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, The Johns Hopkins Univ. School of Medicine (United States); Jerry L. Prince, Johns Hopkins Univ. (United States)
Show Abstract
Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models
Paper 11313-34
Time: 11:30 AM - 11:50 AM
Author(s): Fumin Guo, Matthew Ng, Graham A. Wright, Univ. of Toronto (Canada)
Show Abstract
Contrast phase classification with a generative adversarial network
Paper 11313-35
Time: 11:50 AM - 12:10 PM
Author(s): Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Vanderbilt Univ. (United States); Yunqiang Chen, Dashan Gao, Shizhong Han, 12 Sigma Technologies Ltd. (United States); Riqiang Gao, Camilo Bermudez, Vanderbilt Univ. (United States); Michael R. Savona, Richard G. Abramson, Vanderbilt Univ. Medical Ctr. (United States); Yuankai Huo, Bennett A. Landman, Vanderbilt Univ. (United States)
Show Abstract
Lunch Break 12:10 PM - 1:20 PM
Session 8:
Labeling and Segmentation
Wednesday 19 February 2020
1:20 PM - 3:00 PM
Location: Salon C
Session Chairs:
Antong Chen, Merck & Co., Inc. (United States) ;
Yu Gan, The Univ. of Alabama (United States)
Vessel wall segmentation of common carotid artery via multi-branch light network
Paper 11313-36
Time: 1:20 PM - 1:40 PM
Author(s): Haochen Tan, Huimin Shi, Mingquan Lin, City Univ. of Hong Kong (Hong Kong, China); John David Spence, Stroke Prevention & Atherosclerosis Research Ctr., Robarts Research Institute (Canada); Kwok-Leung Chan, Bernard Chiu, City Univ. of Hong Kong (Hong Kong, China)
Show Abstract
Anatomical labeling of human airway branches using a novel two-step machine learning and hierarchical features
Paper 11313-37
Time: 1:40 PM - 2:00 PM
Author(s): Syed Ahmed Nadeem, Eric A. Hoffman, The Univ. of Iowa (United States); Alejandro P. Comellas, The Univ. of Iowa Hospitals and Clinics (United States); Punam K. Saha, The Univ. of Iowa (United States)
Show Abstract
Incorporating minimal user input into deep learning based image segmentation
Paper 11313-38
Time: 2:00 PM - 2:20 PM
Author(s): Maysam Shahedi, The Univ. of Texas at Dallas (United States); Martin Halicek, Georgia Institute of Technology (United States), The Univ. of Texas at Dallas (United States); James D. Dormer, The Univ. of Texas at Dallas (United States); Baowei Fei, The Univ. of Texas at Dallas (United States), The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Show Abstract
Weakly supervised pancreas segmentation based on classactivation maps
Paper 11313-39
Time: 2:20 PM - 2:40 PM
Author(s): Mona Schumacher, Univ. zu Lübeck (Germany), MeVis Medical Solutions AG (Germany); Andreas Genz, MeVis Medical Solutions AG (Germany); Mattias Paul Heinrich, Univ. zu Lübeck (Germany)
Show Abstract
Detection of Frame Informativeness in Endoscopic Videos using Image Quality and Recurrent Neural Networks
Paper 11313-40
Time: 2:40 PM - 3:00 PM
Author(s): Tim Boers, Joost van der Putten, Technische Univ. Eindhoven (Netherlands); Jeroen de Groof, Maarten R. Struyvenberg, Kiki Fockens, Amsterdam UMC (Netherlands); Wouter Curvers, Erik Schoon, Catharina Hospital (Netherlands); Fons van der Sommen, Technische Univ. Eindhoven (Netherlands); Jacques Bergman, Amsterdam UMC (Netherlands); Peter H. N. de With, Technische Univ. Eindhoven (Netherlands)
Show Abstract
Coffee Break 3:00 PM - 3:30 PM
Session 9:
Deep Learning: Segmentation
Wednesday 19 February 2020
3:30 PM - 5:30 PM
Location: Salon C
Session Chairs:
Dzung L. Pham, Henry M. Jackson Foundation (United States) ;
Benoit M. Dawant, Vanderbilt Univ. (United States)
Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization
Paper 11313-41
Time: 3:30 PM - 3:50 PM
Author(s): Chen Shen, Chenglong Wang, Nagoya Univ. (Japan); Holger R. Roth, NVIDIA Corp. (United States); Masahiro Oda, Yuichiro Hayashi, Nagoya Univ. (Japan); Kazunari Misawa, Aichi Cancer Ctr. (Japan); Kensaku Mori, Nagoya Univ. (Japan)
Show Abstract
Identification of kernels in a convolutional neural network: connections between the level set equation and deep learning for image segmentation
Paper 11313-42
Time: 3:50 PM - 4:10 PM
Author(s): Jonas Actor, Rice Univ. (United States); David T. Fuentes, The Univ. of Texas M. D. Anderson Cancer Ctr. (United States); Beatrice Riviere, Rice Univ. (United States)
Show Abstract
Influence of decoder size for binary segmentation tasks in medical imaging
Paper 11313-43
Time: 4:10 PM - 4:30 PM
Author(s): Joost van der Putten, Fons van der Sommen, Peter H. N. de With, Technische Univ. Eindhoven (Netherlands)
Show Abstract
Unified multi-scale feature abstraction for medical image segmentation
Paper 11313-44
Time: 4:30 PM - 4:50 PM
Author(s): Xi Fang, Rensselaer Polytechnic Institute (United States); Bo Du, Wuhan Univ. (China); Sheng Xu, Bradford J. Wood, National Institutes of Health (United States); Pingkun Yan, Rensselaer Polytechnic Institute (United States)
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Topology-aware activation layer for neural network image segmentation
Paper 11313-45
Time: 4:50 PM - 5:10 PM
Author(s): John S. H. Baxter, Pierre Jannin, Univ. de Rennes 1 (France)
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Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms
Paper 11313-46
Time: 5:10 PM - 5:30 PM
Author(s): Arkadiy Dushatskiy, Ctr. Wiskunde & Informatica (Netherlands); Adriënne M. Mendrik, Netherlands eScience Ctr. (Netherlands); Peter A. N. Bosman, Ctr. Wiskunde & Informatica (Netherlands), Technische Univ. Delft (Netherlands); Tanja Alderliesten, Amsterdam UMC (Netherlands)
Show Abstract
Session PSWed:
Wednesday Poster Session
Wednesday 19 February 2020
5:30 PM - 7:00 PM
Location: Salon D/E
Identifying the common and subject-specific functional units of speech movements via a joint sparse non-negative matrix factorization framework
Paper 11313-63
Time: 5:30 PM - 7:00 PM
Author(s): Jonghye Woo, Fangxu Xing, Massachusetts General Hospital, Harvard Medical School (United States); Jerry L. Prince, Johns Hopkins Univ. (United States); Maureen Stone, Univ. of Maryland, Baltimore (United States); Timothy Reese, Van Wedeen, Georges El Fakhri, Massachusetts General Hospital, Harvard Medical School (United States)
Show Abstract
Dynamic analysis of shape through invariant signature curves
Paper 11313-64
Time: 5:30 PM - 7:00 PM
Author(s): Stanley Tuznik, Stony Brook Univ. (United States); Daniel Hoff, Univ. of California, Los Angeles (United States); Peter Olver, Univ. of Minnesota, Twin Cities (United States); Allen Tannenbaum, Stony Brook Univ. (United States)
Show Abstract
Network features of simultaneous EEG and fMRI predict working memory load
Paper 11313-65
Time: 5:30 PM - 7:00 PM
Author(s): Yutongwang Wang, Ying Liu, Li Yao, Xiaojie Zhao, Beijing Normal Univ. (China)
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Hybrid dictionary learning-ICA approaches built on novel windowless connectivity metric provide new multiscale Insights into dynamic brain connectivity
Paper 11313-66
Time: 5:30 PM - 7:00 PM
Author(s): Robyn Miler, Vince D. Calhoun, Ctr. for Translational Research in Neuroimaging and Data Science, Georgia State Univ. (United States)
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Self-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentation
Paper 11313-67
Time: 5:30 PM - 7:00 PM
Author(s): Maria G. Baldeon Calisto, Susana Lai-Yuen, Univ. of South Florida (United States)
Show Abstract
Choroidal atrophy segmentation based on deep network with deep-supervision and EDT-auxiliary-loss
Paper 11313-68
Time: 5:30 PM - 7:00 PM
Author(s): Ruyi Lu, Weifang Zhu, Xuena Cheng, Soochow Univ. (China); Xinjian Chen, State Key Lab. of Radiation Medicine and Protection, Soochow Univ. (China)
Show Abstract
Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNN
Paper 11313-69
Time: 5:30 PM - 7:00 PM
Author(s): Josefine Vilsboell Sundgaard, Kristine Aavild Juhl, Technical Univ. of Denmark (Denmark); Klaus Fuglsang Kofoed, Rigshospitalet, Univ. of Copenhagen (Denmark); Rasmus Reinhold Paulsen, Technical Univ. of Denmark (Denmark)
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An improved U-Net for nerve fibre segmentation in confocal corneal microscopy images
Paper 11313-70
Time: 5:30 PM - 7:00 PM
Author(s): Xinxin Zhou, Soochow Univ. (China); Xinjian Chen, State Key Lab. of Radiation Medicine and Protection, Soochow Univ. (China); Shuanglang Feng, Fei Shi, Soochow Univ. (China)
Show Abstract
Segmentation of choroid neovascularization in OCT images based on convolutional neural network with differential amplification blocks
Paper 11313-71
Time: 5:30 PM - 7:00 PM
Author(s): Jinzhu Su, Soochow Univ. (China); Xinjian Chen, State Key Lab. of Radiation Medicine and Protection, Soochow Univ. (China); Yuhui Ma, Weifang Zhu, Fei Shi, Soochow Univ. (China)
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Automated retinopathy of prematurity screening using deep neural network with attention mechanism
Paper 11313-72
Time: 5:30 PM - 7:00 PM
Author(s): Yuanyuan Peng, Weifang Zhu, Soochow Univ. (China); Feng Chen, Guangzhou Women And Children's Medical Ctr. (China); Daoman Xiang, 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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Estimating standard-dose PET from low-dose PET with deep learning
Paper 11313-73
Time: 5:30 PM - 7:00 PM
Author(s): Yang Lei, Xue Dong, Tonghe Wang, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathan A. Nye, Xiaofeng Yang, Emory Univ. (United States)
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Internal-transfer weighting of multi-task learning for lung cancer detection
Paper 11313-74
Time: 5:30 PM - 7:00 PM
Author(s): Yiyuan Yang, Riqiang Gao, Yucheng Tang, Vanderbilt Univ. (United States); Sanja L. Antic, Steve Deppen, Vanderbilt Univ. Medical Ctr. (United States); Yuankai Huo, Vanderbilt Univ. (United States); Kim L. Sandler, Pierre P. Massion, Vanderbilt Univ. Medical Ctr. (United States); Bennett A. Landman, Vanderbilt Univ. (United States)
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Reduction of motion artifacts in head CT exams using multi-scale convolutional neural network
Paper 11313-75
Time: 5:30 PM - 7:00 PM
Author(s): Bin Su, United Imaging Healthcare Co., Ltd. (China); Yanyan Liu, Jianwei Fu, Guotao Quan, United Imaging (China)
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CAI-UNet for segmentation of liver lesion in CT image
Paper 11313-76
Time: 5:30 PM - 7:00 PM
Author(s): Sodam Cheon, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan Univ. (Korea, Republic of); Ehwa Yang, Won Jae Lee, Jae-Hun Kim, SAMSUNG Medical Ctr. (Korea, Republic of)
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Enhancing infarct segmentation performance using domain-specific attention in Acute Ischemic Stroke patients
Paper 11313-77
Time: 5:30 PM - 7:00 PM
Author(s): Manikanda Krishnan V., Srinivasa Rao Kundeti, Arun H. Shastry, Philips Research (India); Shankar Prasad Gorthi, Kasturba Medical College (India)
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A grid-line suppression technique based on deep convolutional neural networks
Paper 11313-78
Time: 5:30 PM - 7:00 PM
Author(s): Kyongwoo Kim, Hyungkyu Kim, Heesin Lee, Joongeun Jung, Joshua J. Nam, JPI Healthcare Co., Ltd. (Korea, Republic of); Joonhyuk Park, Donghyun Kim, Hyewon Kim, Hojoon Kim, Handong Global Univ. (Korea, Republic of)
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An end-to-end deep learning approach for landmark detection and matching in medical images
Paper 11313-79
Time: 5:30 PM - 7:00 PM
Author(s): Monika Grewal, Timo M. Deist, Ctr. Wiskunde & Informatica (Netherlands); Jan Wiersma, Amsterdam UMC (Netherlands); Peter A. N. Bosman, Ctr. Wiskunde & Informatica (Netherlands); Tanja Alderliesten, Amsterdam UMC (Netherlands)
Show Abstract
Deformable MRI-CT image registration with unsupervised deep learning-based deformation prediction
Paper 11313-80
Time: 5:30 PM - 7:00 PM
Author(s): Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, Ashesh Jani, Pretesh Patel, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang, Emory Univ. (United States)
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A target-oriented and multi-patch based framework for image quality assessment on carotid artery MRI
Paper 11313-81
Time: 5:30 PM - 7:00 PM
Author(s): Hongjian Jiang, Li Chen, Dongxiang Xu, Univ. of Washington (United States); Huilin Zhao, Renji Hospital, Shanghai Jiao Tong Univ. School of Medicine (China); Hiroko Watase, Univ. of Washington (United States); Xihai Zhao, Rui Li, Tsinghua Univ. (China); Chun Yuan, Univ. of Washington (United States)
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Convolutional neural network-based ordinal regression for brain age prediction from MRI scans
Paper 11313-82
Time: 5:30 PM - 7:00 PM
Author(s): Ksenia Sokolova, Gareth Barker, King's College London (United Kingdom); Giovanni Montana, The Univ. of Warwick (United Kingdom)
Show Abstract
Assessment of deep learning in segmentation of fluorescent microscopy images of stem cell colonies
Paper 11313-83
Time: 5:30 PM - 7:00 PM
Author(s): Dorsa Ziaei, David Chapman, Yaacov Yesha, Milton Halem, Univ. of Maryland, Baltimore County (United States)
Show Abstract
Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net
Paper 11313-84
Time: 5:30 PM - 7:00 PM
Author(s): Bangjun Guo, Yang Lei, Tonghe Wang, Tian Liu, Walter J. Curran, Long Jiang Zhang, Xiaofeng Yang, Emory Univ. (United States)
Show Abstract
New loss functions for medical image registration based on VoxelMorph
Paper 11313-85
Time: 5:30 PM - 7:00 PM
Author(s): Yongpei Zhu, Tsinghua Univ. Shenzhen International Graduate School (China); Zicong Zhou, Guojun Liao, The Univ. of Texas at Arlington (United States); Kehong Yuan, Tsinghua Univ. Shenzhen International Graduate School (China)
Show Abstract
A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity
Paper 11313-86
Time: 5:30 PM - 7:00 PM
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, Ctr. for Translational Research in Neuroimaging and Data Science, Georgia State Univ. (United States); Yu-Ping Wang, Tulane Univ. (United States)
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A generalized method for computation of n-dimensional Radon transforms
Paper 11313-87
Time: 5:30 PM - 7:00 PM
Author(s): Robert Frysch, Otto-von-Guericke-Univ. Magdeburg (Germany), Forschungscampus STIMULATE (Germany); Tim Pfeiffer, Otto-von-Guericke Univ. Magdeburg (Germany); Georg Rose, Otto-von-Guericke-Univ. Magdeburg (Germany)
Show Abstract
Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT images
Paper 11313-88
Time: 5:30 PM - 7:00 PM
Author(s): Ivica Kopriva, Institut Ruder Boškovic (Croatia); Fei Shi, Soochow Univ. (China); Marija Štanfel, Univ. Hospital Ctr. Zagreb (Croatia); Xinjian Chen, Soochow Univ. (China)
Show Abstract
Metal artifacts reduction in computed tomography by Fourier Coefficient Correction using convolutional neural network
Paper 11313-89
Time: 5:30 PM - 7:00 PM
Author(s): Qi Mai, Justin W. L. Wan, Univ. of Waterloo (Canada)
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High-resolution magnetic resonance imaging reconstruction using deep attention networks
Paper 11313-90
Time: 5:30 PM - 7:00 PM
Author(s): Xiuxiu He, Yang Lei, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang, Emory Univ. (United States)
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Simultaneously spatial and temporal Higher-Order Total Variations for noise suppression and motion reduction in DCE and IVIM
Paper 11313-91
Time: 5:30 PM - 7:00 PM
Author(s): Renjie He, Yao Ding, Abdallah S. R. Mohamed, Sweet Ping Ng, Rachel B. Ger, Hesham Elhalawani, Baher A. Elgohari, The Univ. of Texas M. D. Anderson Cancer Ctr. (United States); Kristina H. Young, Earle A. Chiles Research Institute (United States), The Oregon Clinic (United States); Kate Hutcheson, Clifton Fuller, Stephen Lai, The Univ. of Texas M. D. Anderson Cancer Ctr. (United States)
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Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning
Paper 11313-92
Time: 5:30 PM - 7:00 PM
Author(s): Yingzi Liu, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Tian Liu, Pretesh Patel, Walter J. Curran, Emory Univ. (United States); Lei Ren, Duke Univ. (United States); Xiaofeng Yang, Emory Univ. (United States)
Show Abstract
FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for Fundus Image Synthesis
Paper 11313-93
Time: 5:30 PM - 7:00 PM
Author(s): Sourya Sengupta, Univ. of Waterloo (Canada); Akshaya Athawale, Indian Institute of Technology (Indian School of Mines), Dhanbad (India); Tanmay Gulati, Manipal Institute of Technology (India); Vasudevan Lakshminarayanan, Univ. of Waterloo (Canada)
Show Abstract
Deep similarity learning using a siamese ResNet trained on similarity labels from disparity maps of cerebral MRA MIP pairs
Paper 11313-94
Time: 5:30 PM - 7:00 PM
Author(s): Christian Neumann, Hochschule Niederrhein (Germany); Klaus D. Tönnies, Otto-von-Guericke-Univ. Magdeburg (Germany); Regina Pohle-Fröhlich, Hochschule Niederrhein (Germany)
Show Abstract
Validation and optimization of multi-organ segmentation on clinical imaging archives
Paper 11313-95
Time: 5:30 PM - 7:00 PM
Author(s): Olivia Tang, Yuchen Xu, Yucheng Tang, Ho Hin Lee, Vanderbilt Univ. (United States); Yunqiang Chen, Dashan Gao, Shizhong Han, 12 Sigma Technologies Ltd. (United States); Riqiang Gao, Vanderbilt Univ. (United States); Michael R. Savona, Richard G. Abramson, Vanderbilt Univ. Medical Ctr. (United States); Yuankai Huo, Bennett A. Landman, Vanderbilt Univ. (United States)
Show Abstract
A quasi-conformal mapping-based data augmentation technique for improving deep learning techniques on brain tumor segmentation
Paper 11313-96
Time: 5:30 PM - 7:00 PM
Author(s): Min Zhang, Brigham and Women's Hospital, Harvard Medical School (United States); Dongsheng An, Stony Brook Univ. (United States); Geoffrey S. Young, Brigham and Women's Hospital (United States); Xianfeng Gu, Stony Brook Univ. (United States); Xiaoyin Xu, Brigham and Women's Hospital (United States)
Show Abstract
MRI correlates of chronic symptoms in mild traumatic brain injury
Paper 11313-97
Time: 5:30 PM - 7:00 PM
Author(s): Cailey I. Kerley, Kurt G. Schilling, Justin Blaber, Beth Miller, Allen Newton, Adam W. Anderson, Bennett A. Landman, Tonia S. Rex, Vanderbilt Univ. (United States)
Show Abstract
Development of a 3D carotid atlas for quantification of local volume change
Paper 11313-98
Time: 5:30 PM - 7:00 PM
Author(s): Xueli Chen, Yuan Zhao, City Univ. of Hong Kong (Hong Kong, China); John David Spence, Stroke Prevention & Atherosclerosis Research Ctr., Robarts Research Institute (Canada); Bernard Chiu, City Univ. of Hong Kong (Hong Kong, China)
Show Abstract
Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction
Paper 11313-99
Time: 5:30 PM - 7:00 PM
Author(s): Wei Han, Brigham and Women's Hospital (United States); Lei Qin, Dana-Farber Cancer Institute (United States); Camden Bay, Xin Chen, Brigham and Women's Hospital (United States); Kun-Hsing Yu, Harvard Medical School (United States); Angie Li, Xiaoyin Xu, Geoffrey S. Young, Brigham and Women's Hospital (United States)
Show Abstract
An unsupervised deep learning approach for 4DCT lung deformable image registration
Paper 11313-100
Time: 5:30 PM - 7:00 PM
Author(s): Yabo Fu, Yang Lei, Tonghe Wang, Tian Liu, Xiaofeng Yang, Walter J. Curran, Kristin Higgins, Emory Univ. (United States)
Show Abstract
Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT
Paper 11313-101
Time: 5:30 PM - 7:00 PM
Author(s): Yabo Fu, Yang Lei, Yingzi Liu, Tonghe Wang, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang, Emory Univ. (United States)
Show Abstract
Imposing implicit feasibility constraints on deformable image registration using a statistical generative model
Paper 11313-102
Time: 5:30 PM - 7:00 PM
Author(s): Yudi Sang, Univ. of California, Los Angeles (United States); Xianglei Xing, Harbin Engineering Univ. (China), Univ. of California, Los Angeles (United States); Ying Nian Wu, Dan Ruan, Univ. of California, Los Angeles (United States)
Show Abstract
Local structure orientation: a new method for histology and MRI coregistration
Paper 11313-103
Time: 5:30 PM - 7:00 PM
Author(s): Wadha Alyami, The Univ. of Sydney (Australia)
Show Abstract
Unsupervised learning-based deformable registration of temporal chest radiographs to detect interval change
Paper 11313-104
Time: 5:30 PM - 7:00 PM
Author(s): Qiming Fang, Shanghai Jiao Tong Univ. (China); Jichao Yan, United Imaging (China); Xiaomeng Gu, Jun Zhao, Shanghai Jiao Tong Univ. (China); Qiang Li, Wuhan National Research Ctr. for Optoelectronics (China)
Show Abstract
Weakly Non-rigid MR-TRUS Prostate Registration Using Fully Convolutional and Recurrent Neural Networks
Paper 11313-105
Time: 5:30 PM - 7:00 PM
Author(s): Qiulan Zeng, Jiwoong J. Jeong, Tonghe Wang, Yang Lei, Hui Mao, Ashesh B. Jani, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang, Emory Univ. (United States)
Show Abstract
Feature-based retinal image registration for longitudinal analysis of patients with age-related macular degeneration
Paper 11313-106
Time: 5:30 PM - 7:00 PM
Author(s): Tharindu S. De Silva, Nathan Hotaling, Emily Y. Chew, Catherine Cukras, National Institutes of Health (United States)
Show Abstract
Multi-scale feature-based registration with statistical deformation constraint: fusing in vivo T2-weighted prostate MRI and ex vivo pathology images
Paper 11313-107
Time: 5:30 PM - 7:00 PM
Author(s): Lin Li, Ahmad Algohary, Case Western Reserve Univ. (United States); Rob Toth, Toth Technology LLC (United States); Andrei Purysko, Cleveland Clinic Imaging Institute (United States); Ivan Jambor, Univ. of Turku (Finland); Cristina Magi-Galluzzi, The Univ. of Alabama (United States); Pekka Taimen, Univ. of Turku (Finland); Anant Madabhushi, Case Western Reserve Univ. (United States)
Show Abstract
Multi-label segmentation of bone, muscle, and fat in CT volumes via convex relaxation
Paper 11313-108
Time: 5:30 PM - 7:00 PM
Author(s): Jose-Antonio Pérez-Carrasco, Begoña Acha-Piñero, Carmen Serrano, Univ. de Sevilla (Spain)
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Group-wise attention fusion network for choroid segmentation in OCT images
Paper 11313-109
Time: 5:30 PM - 7:00 PM
Author(s): Xuena Cheng, Soochow Univ. (China); Xinjian Chen, State Key Lab. of Radiation Medicine and Protection, Soochow Univ. (China); Shuanglang Feng, Weifang Zhu, Dehui Xiang, Soochow Univ. (China); Qiuying Chen, Xun Xu, Shanghai General Hospital (China); Fei Shi, Soochow Univ. (China); Ying Fan, Shanghai General Hospital (China)
Show Abstract
Automatic lung segmentation in low-dose CT image with contrastive attention module
Paper 11313-110
Time: 5:30 PM - 7:00 PM
Author(s): Changxing Yang, Haihong Tian, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen, Soochow Univ. (China)
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Attention-guided channel to pixel convolution network for retinal layer segmentation with choroidal neovascularization
Paper 11313-111
Time: 5:30 PM - 7:00 PM
Author(s): Xiaoling Yang, Xinjian Chen, Dehui Xiang, Soochow Univ. (China)
Show Abstract
Attention multi-scale network for pigment epithelial detachment segmentation in OCT images
Paper 11313-112
Time: 5:30 PM - 7:00 PM
Author(s): Dengsen Bao, Xuena Cheng, Weifang Zhu, Fei Shi, Xinjian Chen, Soochow Univ. (China)
Show Abstract
Outlier guided optimization of abdominal segmentation
Paper 11313-113
Time: 5:30 PM - 7:00 PM
Author(s): Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Vanderbilt Univ. (United States); Yunqiang Chen, Dashan Gao, Shizhong Han, 12 Sigma Technologies Ltd. (United States); Riqiang Gao, Vanderbilt Univ. (United States); Michael R. Savona, Richard G. Abramson, Vanderbilt Univ. Medical Ctr. (United States); Yuankai Huo, Bennett A. Landman, Vanderbilt Univ. (United States)
Show Abstract
Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation
Paper 11313-114
Time: 5:30 PM - 7:00 PM
Author(s): Shuo Han, Jerry L. Prince, Aaron Carass, Johns Hopkins Univ. (United States)
Show Abstract
Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography
Paper 11313-115
Time: 5:30 PM - 7:00 PM
Author(s): Yang Lei, Sibo Tian, Xue Dong, Ashesh Jani, David M. Schuster, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang, Emory Univ. (United States)
Show Abstract
Comparison of training strategies for the segmentation of retina layers in optical coherence tomography images of rodent eyes using convolutional neural networks
Paper 11313-116
Time: 5:30 PM - 7:00 PM
Author(s): Antong Chen, Merck & Co., Inc. (United States); Charlene Chi Lin Ong, Weiwei Luo, Chen Fei Lee, Ser Mien Chia, Merck Sharp & Dohme Corp. (Singapore); Joana Galvao, Daniel Metzger, Merck & Co., Inc. (United States); Eric Gifford, Chih-Liang Chin, Asad Abu Bakar Ali, Merck Sharp & Dohme Corp. (Singapore)
Show Abstract
Multi-organ segmentation in head and neck MRI using U-Faster-RCNN
Paper 11313-117
Time: 5:30 PM - 7:00 PM
Author(s): Yang Lei, Jun Zhou, Xue Dong, Tonghe Wang, Hui Mao, Mark McDonald, Walter J. Curran, Tian Liu, Xiaofeng Yang, Emory Univ. (United States)
Show Abstract
Improved automated segmentation of human kidney organoids using deep convolutional neural networks
Paper 11313-118
Time: 5:30 PM - 7:00 PM
Author(s): Michael MacDonald, GE Global Research (United States); Randy Fennel, Univ. of Washington (United States); Asha Singanamalli, GE Global Research (United States); Nelly Cruz, Univ. of Washington (United States); Mohammad YousefHussein, Yousef Al-Kofahi, GE Global Research (United States); Benjamin Freedman, Univ. of Washington (United States)
Show Abstract
Segmenting retinal OCT images with inter-B-scan and longitudinal information
Paper 11313-119
Time: 5:30 PM - 7:00 PM
Author(s): Yufan He, Aaron Carass, Yihao Liu, Angeliki Filippatou, Johns Hopkins Univ. (United States); Bruno M. Jedynak, Portland State Univ. (United States); Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince, Johns Hopkins Univ. (United States)
Show Abstract
Multi-atlas-based tissue identification in the lower leg using pQCT
Paper 11313-120
Time: 5:30 PM - 7:00 PM
Author(s): Sokratis Makrogiannis, Azubuike Okorie, Taposh Biswas, Delaware State Univ. (United States); Luigi Ferrucci, National Institute on Aging (United States)
Show Abstract
Unsupervised local feature learning for sensitive three-dimensional ultrasound assessment of carotid atherosclerosis
Paper 11313-121
Time: 5:30 PM - 7:00 PM
Author(s): Yuan Zhao, City Univ. of Hong Kong (Hong Kong, China); J. David Spence, Robarts Research Institute (Canada); Bernard Chiu, City Univ. of Hong Kong (Hong Kong, China)
Show Abstract
Thursday 20 February Show All Abstracts
Session 10:
Segmentation: Anatomy
Thursday 20 February 2020
8:00 AM - 9:40 AM
Location: Salon C
Session Chairs:
Maryam E. Rettmann, Mayo Clinic (United States) ;
Letícia Rittner, Univ. Estadual de Campinas (Brazil)
Combining deep learning and model-based segmentation for labeled spine CT segmentation
Paper 11313-47
Time: 8:00 AM - 8:20 AM
Author(s): Christian Buerger, Jens von Berg, Astrid Franz, Tobias Klinder, Cristian Lorenz, Matthias Lenga, Philips Research (Germany)
Show Abstract
Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT images
Paper 11313-48
Time: 8:20 AM - 8:40 AM
Author(s): Yubo Fan, Vanderbilt Univ. (United States); Dongqing Zhang, Google (United States); Jianing Wang, Jack H. Noble, Benoit M. Dawant, Vanderbilt Univ. (United States)
Show Abstract
Multi-class semantic segmentation of pediatric chest radiographs
Paper 11313-49
Time: 8:40 AM - 9:00 AM
Author(s): Gregory Holste, Michigan State Univ. (United States), Kenyon College (United States); Ryan Sullivan, Purdue Univ. (United States); Michael Bindschadler, Nicholas Nagy, Univ. of Washington (United States); Adam Alessio, Michigan State Univ. (United States)
Show Abstract
Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planning
Paper 11313-50
Time: 9:00 AM - 9:20 AM
Author(s): Louis D. van Harten, Univ. Medical Ctr. Utrecht (Netherlands); Jelmer M. Wolterink, Amsterdam UMC (Netherlands), Univ. Medical Ctr. Utrecht (Netherlands); Joost J. C. Verhoeff, Univ. Medical Ctr. Utrecht (Netherlands); Ivana Išgum, Amsterdam UMC (Netherlands), Univ. Medical Ctr. Utrecht (Netherlands)
Show Abstract
Anatomy segmentation evaluation with sparse ground truth data
Paper 11313-51
Time: 9:20 AM - 9:40 AM
Author(s): Jieyu Li, Shanghai Jiao Tong Univ. (China), Univ. of Pennsylvania (United States); Jayaram K. Udupa, Yubing Tong, Univ. of Pennsylvania (United States); Lisheng Wang, Shanghai Jiao Tong Univ. (China); Drew A. Torigian, Univ. of Pennsylvania (United States)
Show Abstract
Coffee Break 9:40 AM - 10:10 AM
Session 11:
Deep Learning: Uncertainty and Quality
Thursday 20 February 2020
10:10 AM - 12:10 PM
Location: Salon C
Session Chairs:
Benoit M. Dawant, Vanderbilt Univ. (United States) ;
Ipek Oguz, Vanderbilt Univ. (United States)
Adding uncertainty to dermatological assistance
Paper 11313-52
Time: 10:10 AM - 10:30 AM
Author(s): Jaideep V. Murkute, Ronit J. Damania, Nikunj R. Kotecha, Nitinraj R. Nair, Rochester Institute of Technology (United States); Chris Wicks, Robert Phipps, VisualDx (United States); Raymond Ptucha, Rochester Institute of Technology (United States); Art Papier, VisualDx (United States)
Show Abstract
Semi-supervised multi-organ segmentation through quality assurance supervision
Paper 11313-53
Time: 10:30 AM - 10:50 AM
Author(s): Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Vanderbilt Univ. (United States); Yunqiang Chen, Dashan Gao, Shizhong Han, 12 Sigma Technologies Ltd. (United States); Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman, Vanderbilt Univ. (United States)
Show Abstract
Visualization approach to assess the robustness of neural networks for medical image classification
Paper 11313-54
Time: 10:50 AM - 11:10 AM
Author(s): Elina Thibeau-Sutre, Olivier Colliot, Institut du Cerveau et de la Moelle Épinière (France), Institut National de la Santé et de la Recherche Médicale (France), Institut National de Recherche en Informatique et en Automatique (France); Didier Dormont, Institut du Cerveau et de la Moelle Épinière, Sorbonne Univ., CNRS (France), Institut National de la Santé et de la Recherche Médicale (France), Pitié-Salpêtrière Hospital, Assistance Publique Hôpitaux de Paris (France); Ninon Burgos, Institut du Cerveau et de la Moelle Épinière, Sorbonne Univ., CNRS (France), Institut National de la Santé et de la Recherche Médicale (France), Institut National de Recherche en Informatique et en Automatique (France)
Show Abstract
An exploration of uncertainty information for segmentation quality assessment
Paper 11313-55
Time: 11:10 AM - 11:30 AM
Author(s): Katharina Hoebel, Athinoula A. Martinos Ctr. for Biomedical Imaging (United States), Harvard-MIT Health Sciences and Technology (United States); Vincent Andrearczyk, HES-SO Valais-Wallis (Switzerland); Andrew L. Beers, Athinoula A. Martinos Ctr. for Biomedical Imaging (United States); Jay B. Patel, Ken Chang, Athinoula A. Martinos Ctr. for Biomedical Imaging (United States), Harvard-MIT Health Sciences and Technology (United States); Adrien Depeursinge, HES-SO Valais-Wallis (Switzerland), Ctr. Hospitalier Univ. Vaudois (Switzerland); Henning Mueller, HES-SO Valais-Wallis (Switzerland), Univ. de Genève (Switzerland); Jayashree Kalpathy-Cramer, Athinoula A. Martinos Ctr. for Biomedical Imaging (United States)
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Robust chest x-ray quality assessment using convolutional neural networks and atlas regularization
Paper 11313-56
Time: 11:30 AM - 11:50 AM
Author(s): Jens von Berg, Sven Krönke, André Gooßen, Daniel Bystrov, Matthias Brück, Tim Harder, Philips Research (Germany); Nataly Wieberneit, Philips GmbH Healthcare (Germany); Stewart Young, Philips Research (Germany)
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Automatic online quality control of synthetic CTs
Paper 11313-57
Time: 11:50 AM - 12:10 PM
Author(s): Louis D. van Harten, Univ. Medical Ctr. Utrecht (Netherlands), Amsterdam UMC (Netherlands); Jelmer M. Wolterink, Amsterdam UMC (Netherlands), Univ. Medical Ctr. Utrecht (Netherlands); Joost J. C. Verhoeff, Univ. Medical Ctr. Utrecht (Netherlands); Ivana Išgum, Amsterdam UMC (Netherlands), Univ. Medical Ctr. Utrecht (Netherlands)
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Award Announcements
Thursday 20 February 2020
12:10 PM - 12:15 PM

The Image Processing Student Paper Award, conference RFW finalists, and poster award recipients will be recognized with certificates distributed.
Lunch Break 12:15 PM - 1:20 PM
Session 12:
Nuclear and Molecular
Thursday 20 February 2020
1:20 PM - 3:00 PM
Location: Salon C
Session Chairs:
Antong Chen, Merck & Co., Inc. (United States) ;
Jayaram K. Udupa, Penn Medicine (United States)
Homology-based approach for prognostic prediction of lung cancer using novel topologically invariant radiomic features
Paper 11313-58
Time: 1:20 PM - 1:40 PM
Author(s): Kenta Ninomiya, Hidetaka Arimura, Kyushu Univ. (Japan)
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Fully convolutional network with sparse feature-maps composition for automatic lung tumor segmentation from PET images
Paper 11313-59
Time: 1:40 PM - 2:00 PM
Author(s): Haihong Tian, Dehui Xiang, Weifang Zhu, Fei Shi, Xinjian Chen, Soochow Univ. (China)
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Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information
Paper 11313-60
Time: 2:00 PM - 2:20 PM
Author(s): Junshen Xu, Massachusetts Institute of Technology (United States); Enhao Gong, Stanford Univ. (United States); Jiahong Ouyang, Carnegie Mellon Univ. (United States); John Pauly, Greg Zaharchuk, Stanford Univ. (United States)
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The improved reconstruction of fluorescence molecular tomography via regularized doubly orthogonal matching pursuit method
Paper 11313-61
Time: 2:20 PM - 2:40 PM
Author(s): Lingxin Kong, Yu An, Yang Du, Jie Tian, Institute of Automation (China)
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Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response
Paper 11313-62
Time: 2:40 PM - 3:00 PM
Author(s): Ine Dirks, Vrije Univ. Brussel (Belgium); Marleen Keyaerts, Bart Neyns, Vrije Univ. Brussel (Belgium), Univ. Ziekenhuis Brussel (Belgium); Jef Vandemeulebroucke, Vrije Univ. Brussel (Belgium)
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