Marriott Marquis Houston
Houston, Texas, United States
15 - 20 February 2020
Conference 11318
Imaging Informatics for Healthcare, Research, and Applications
Sunday - Monday 16 - 17 February 2020
Important
Dates
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Abstract Due:
7 August 2019

Author Notification:
14 October 2019

Manuscript Due Date:
22 January 2020

Conference
Committee
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Conference Chairs
Program Committee
Program Committee continued...
  • Heinz U. Lemke, Computer Assisted Radiology and Surgery (Germany)
  • Brent J. Liu, The Univ. of Southern California (United States)
  • Brian Park, The Univ. of Pennsylvania Health System (United States)
  • Eliot L. Siegel, Univ. of Maryland Medical Ctr. (United States)
  • Wyatt Tellis, Univ. of California, San Francisco (United States)
  • Shandong Wu, Univ. of Pittsburgh (United States)

Sunday 16 February Show All Abstracts
Session 1:
3D Printing and Advanced Visualization
Sunday 16 February 2020
8:00 AM - 9:40 AM
Location: River Oaks
Session Chair:
Steven C. Horii, Penn Medicine (United States)
Image-based marker tracking and registration for intraoperative 3D image-guided interventions using augmented reality
Paper 11318-1
Author(s): Andong Cao, Yale Univ. (United States); Ali Dhanaliwala, Jianbo Shi, Terence Gade, Brian Park, Univ. of Pennsylvania (United States)
Show Abstract
Use of 3D printed intracranial aneurysm phantoms to test the effect of flow diverters geometry on hemodynamics
Paper 11318-2
Author(s): Ariana Allman, Univ. at Buffalo (United States), Canon Stroke and Vascular Research Ctr. (United States); Mohammad Mahdi Shiraz Bhurwani, Jillian L. Senko, Ryan A. Rava, Alexander R. Podgorsak, Univ. at Buffalo (United States), Canon Stroke and Vascular Research Ctr. (United States); Stephan Rudin, Ciprian N. Ionita, Univ. at Buffalo (United States), Canon Stroke and Vascular Research Ctr. (United States), Univ. at Buffalo (United States)
Show Abstract
Rehearsal simulation for left atrial appendage occlusion using patient-specific and 3D printed phantoms based on CT images
Paper 11318-3
Author(s): Dayeong Hong, Sangwook Lee, Univ. of Ulsan College of Medicine (Korea, Republic of); Youngjin Cho, Il-Young Oh, Eun Ju Chun, Seoul National Univ. Bundang Hospital (Korea, Republic of); Namkug Kim, Univ. of Ulsan College of Medicine (Korea, Republic of)
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Challenges and limitations of patient specific mitral valve 3D-printing
Paper 11318-4
Author(s): Jillian L. Senko, Univ. at Buffalo (United States); Ariana Allman, Univ. at Buffalo (United States); Alexander R. Podgorsak, Ryan A. Rava, Mohammad Mahdi Shiraz Bhurwani, Univ. at Buffalo (United States); Stephen Rudin, Univ. at Buffalo (United States), 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), Univ. at Buffalo (United States)
Show Abstract
Use of 3D printed patient-specific neurovascular phantoms to investigate the correlation between disease severity and quantitative angiography data analysis
Paper 11318-5
Author(s): Lauren M. Shepard, Univ. at Buffalo (United States), Canon Stroke and Vascular Research Ctr. (United States); Maxim Mokin, Univ. of South Florida (United States); Adnan H. Siddiqui, Kenneth V. Snyder, Univ. at Buffalo (United States), Canon Stroke and Vascular Research Ctr. (United States); Elad I. Levy, Univ. at Buffalo (United States), Canon Stroke and Vascular Research Ctr. (United States); Jason M. Davies, Univ. at Buffalo (United States), Canon Stroke and Vascular Research Ctr. (United States); Stephen Rudin, 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)
Show Abstract
Session 2:
Big Data Management Platforms
Sunday 16 February 2020
10:10 AM - 12:10 PM
Location: River Oaks
Session Chair:
Brian J. Park, Penn Medicine (United States)
Scalable Quality Assurance for Neuroimaging (SQAN) - data management and quality control
Paper 11318-6
Author(s): Michael D. Young, Andrea Avena-Koenigsberger, Soichi Hayashi, Pervasive Technology Institute, Indiana Univ. (United States); Arvind Gopu, Pervasive Technology Institute (United States); John D. West, Indiana Univ. School of Medicine (United States); Meenakshisundaram Paramasivam, RADY Imaging Ctr. (United States)
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PIM: a visualization-oriented web application for monitoring and debugging of large-scale image processing studies
Paper 11318-7
Author(s): Thomas Kroes, Leiden Univ. Medical Ctr. (Netherlands); Hakim Achterberg, Marcel Koek, Adriaan Versteeg, Wiro Niessen, Aad van der Lugt, Erasmus MC (Netherlands); Peter van het Hof, Baldur van Lew, Boudewijn Lelieveldt, Leiden Univ. Medical Ctr. (Netherlands)
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Preprocessing of clinical neuro-oncology MRI studies for big data applications
Paper 11318-8
Author(s): Satrajit Chakrabarty, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Washington Univ. in St. Louis (United States)
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Exploiting the PubMed central repository to mine out a large multimodal dataset of rare cancer studies
Paper 11318-9
Author(s): Anjani K. Dhrangadhariya, Oscar Jimenez-del-Toro, Vincent Andrearczyk, Manfredo Atzori, Henning Müller, HES-SO Valais-Wallis (Switzerland)
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SNIPR: Stroke Neuroimaging Phenotype Repository
Paper 11318-10
Author(s): Hossein Mohammadian Foroushani, Washington Univ. in St. Louis (United States); Rajat Dhar, Yasheng Chen, Jenny Gurney, Ali Hamzehloo, Jin-Moo Lee, Daniel S. Marcus, Washington Univ. School of Medicine in St. Louis (United States)
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WeLineation: crowdsourcing delineations for reliable ground truth estimation
Paper 11318-11
Author(s): Saksham Goel, Yash Sharma, Indian Institute of Technology Bombay (India); Malte-Levin Jauer, Thomas M. Deserno, Peter L. Reichertz Institut für Medizinische Informatik, Medizinischen Hochschule Hannover (Germany)
Show Abstract
Sunday/Monday Poster Viewing
Sunday 16 February 2020
12:00 PM - 9:00 PM
Location: Salon D/E

Posters will be on display Sunday and Monday with extended viewing until 9:00 pm on Sunday. The poster session with authors in attendance will be Monday evening from 5:30 to 7:00 pm. Award winners will be identified with ribbons during the reception. Award announcement times are listed in the conference schedule.
Lunch Break 12:10 PM - 1:20 PM
Session 3:
Deep Learning Diagnostics
Sunday 16 February 2020
1:20 PM - 3:00 PM
Location: River Oaks
Session Chair:
Po-Hao Chen, Cleveland Clinic (United States)
Breast cancer classification from digital greast tomosynthesis using 3D multi-subvolume approach
Paper 11318-12
Author(s): Emine Doganay, Univ. of Pittsburgh (United States); Puchen Li, Yahong Luo, Liaoning Cancer Hospital & Institute (China); Yuan Guo, Ruimei Chai, Shandong Wu, Univ. of Pittsburgh (United States)
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Automated detection of microaneurysms in color fundus images using deep learning with different preprocessing approaches
Paper 11318-37
Author(s): Meysam Tavakoli, Indiana Univ.-Purdue Univ. Indianapolis (United States); Mahdieh Nazar, Shahid Beheshti Univ. of Medical Sciences (Iran, Islamic Republic of)
Show Abstract
An imaging epigenetics study of Schizophrenia with structure-enforced collaborative regression
Paper 11318-42
Author(s): Yuntong Bai, Isabelle Lian, Xiao Zhang, Anqi Liu, Tulane Univ. (United States); Vince D. Calhoun, Ctr. for Translational Research in Neuroimaging and Data Science (United States); Yu-Ping Wang, Tulane Univ. (United States)
Show Abstract
Two-stage deep learning architecture for pneumonia detection and its diagnosis in chest radiographs
Paper 11318-15
Author(s): Venkata Salini Priyamvada Davuluru, Barath Narayanan Narayanan, Russell C. Hardie, Univ. of Dayton (United States)
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Deep super-resolution network on diffusion weighted imaging for improving prediction of histological grade in breast cancer
Paper 11318-16
Author(s): Zuhui Liu, Ming Fan, Hangzhou Dianzi Univ. (China); Shiwei Wang, Maosheng Xu, First Affiliated Hospital, Zhejiang Chinese Medical Univ. (China); Lihua Li, Hangzhou Dianzi Univ. (China)
Show Abstract
Session 4:
Advanced Imaging Informatics
Sunday 16 February 2020
3:30 PM - 5:30 PM
Location: River Oaks
Session Chairs:
Thomas Martin Deserno, Technische Univ. Braunschweig (Germany) ;
Eliot L. Siegel, Univ. of Maryland Medical Ctr. (United States)
Cybersecurity in healthcare: is our patients' health now at risk? (Keynote Presentation)
Paper 11318-17
Author(s): James Whitfill, HonorHealth (United States)
Show Abstract
Artificial Intelligence-based interactive Virtual Reality-assisted gaming system for hand rehabilitation
Paper 11318-18
Author(s): Hrebesh M. Subhash, Colgate-Palmolive Co. (United States); Mayaank Pillai, Somerset County Vocational and Technical High School (United States); Yilin Yang, Rutgers, The State Univ. of New Jersey (United States); Corey Ditmars, Colombia Univ. (United States)
Show Abstract
STAPLE performance assessed on crowdsourced sclera segmentations
Paper 11318-19
Author(s): Malte-Levin Jauer, Peter L. Reichertz Institut für Medizinische Informatik, Medizinischen Hochschule Hannover (Germany); Saksham Goel, Yash Sharma, Indian Institute of Technology Bombay (India); Thomas M. Deserno, Peter L. Reichertz Institut für Medizinische Informatik, Medizinischen Hochschule Hannover (Germany)
Show Abstract
Tooth numbering in cone-beam CT using a relation network for automatic filing of dentition charts
Paper 11318-20
Author(s): Chisako Muramatsu, Shiga Univ. (Japan); Shota Kutsuna, Gifu Univ. (Japan); Ryo Takahashi, Tatsuro Hayashi, Media Co. Ltd. (Japan); Wataru Nishiyama, Asahi Univ. School of Dentistry (Japan); Yoshiko Ariji, Aichi-Gakuin Univ. School of Dentistry (Japan); Xiangrong Zhou, Takeshi Hara, Gifu Univ. (Japan); Akitoshi Katsumata, Asahi Univ. School of Dentistry (Japan); Eiichiro Ariji, Aichi-Gakuin Univ. School of Dentistry (Japan); Hiroshi Fujita, Gifu Univ. (Japan)
Show Abstract
Monday 17 February Show All Abstracts
Session 5:
Explainable Artificial Intelligence
Monday 17 February 2020
8:00 AM - 9:40 AM
Location: River Oaks
Session Chair:
William Hsu, Univ. of California, Los Angeles (United States)
Impact of data augmentation techniques on a deep learning based medical imaging task
Paper 11318-21
Author(s): Sandeep Dutta, Prakhar Prakash, GE Healthcare (United States)
Show Abstract
A method of dividing clinical data s for medical image AI training
Paper 11318-22
Author(s): Dezhong Zheng, The Shanghai Institute of Technical Physics (China); Yuanyuan Yang, The Shanghai Institute of Technical Physics (China); Wentao Li, Fudan Univ. Shanghai Cancer Ctr. (China)
Show Abstract
Feasibility of predicting pancreatic neuroendocrine tumor grade using deep features from unsupervised learning
Paper 11318-23
Author(s): Yidong Wan, Lei Xu, Pengfei Yang, Zuozhen Cao, Chen Luo, Zhejiang Univ. (China); Xiaoyong Shen, First Affiliated Hospital, Zhejiang Univ. School of Medicine (China); Yan Wu, Second Affiliated Hospital, Zhejiang Univ. School of Medicine (China); Dan Ruan, David Geffen School of Medicine, Univ. of California, Los Angeles (United States); Tianye Niu, Georgia Institute of Technology (United States)
Show Abstract
Shining light into the machine learning "black box": the state of explainable AI (Keynote Presentation)
Paper 11318-24
Author(s): William Y. Hsu, Univ. of California, Los Angeles (United States)
Show Abstract
Session 6:
Future PACS and Software
Monday 17 February 2020
10:10 AM - 12:10 PM
Location: River Oaks
Session Chair:
Ajay Kohli, Penn Medicine (United States)
Usefulness of patient-specific past X-ray image reference support system in the facilities for severely disabled children and persons
Paper 11318-25
Author(s): Sho Takeshita, Kanbe Hospital (Japan); Rikuta Ishigaki, Tomonari Tomitaka, Kyoto College of Medical Science (Japan); Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Tokushima Univ. (Japan)
Show Abstract
Design and implementation of a new generation of PACS based on artificial intelligent visualization
Paper 11318-26
Author(s): Yuanyuan Yang, Siran Ma, Jiecheng Gao, Shanghai Institute of Technical Physics (China); Dezhong Zheng, The Shanghai Institute of Technical Physics (China); Yangfan Ni, The Shanghai Institute of Technical Physics (China); Yiping Gu, The Shanghai Institute of Technical Physics (China); Mingqing Wang, Tonghui Ling, The Shanghai Institute of Technical Physics (China)
Show Abstract
Cloud platform for deep learning-based CAD via collaboration between Japanese medical societies and institutes of informatics
Paper 11318-27
Author(s): Kohei Murao, Youichirou Ninomiya, Changhee Han, Kento Aida, Shin'ichi Satoh, National Institute of Informatics (Japan)
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QuantMed: component-based deep learning platform for translational research
Paper 11318-28
Author(s): Jan Klein, Markus Wenzel, Daniel Romberg, Alexander Köhn, Peter Kohlmann, Florian Link, Annika Hänsch, Volker Dicken, Ruben Stein, Julian Haase, Andreas Schreiber, Fraunhofer-Institut für Digitale Medizin MEVIS (Germany); Rainer Kasan, Digithurst Bildverarbeitungssysteme GmbH & Co. KG (Germany); Horst Hahn, Hans Meine, Fraunhofer-Institut für Digitale Medizin MEVIS (Germany)
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A toolbox for data processing in Radiomics analysis
Paper 11318-29
Author(s): Zhenchao Tang, Beihang Univ. (China); Zhenyu Liu, Mengjie Fang, Institute of Automation (China); Shuo Wang, Beihang Univ. (China); Xuezhi Zhou, Xidian Univ. (China); Jie Tian, Institute of Automation (China)
Show Abstract
A tracking-based semi-automatic software for focal liver lesion extraction in contrast-enhanced ultrasound (CEUS) cine-loops
Paper 11318-30
Author(s): Yuqi Wang, Kun Wang, Jie Tian, Institute of Automation (China)
Show Abstract
Lunch Break 12:10 PM - 1:20 PM
Session 7:
Deep Learning Segmentation
Monday 17 February 2020
1:20 PM - 3:20 PM
Location: River Oaks
Session Chair:
Shandong Wu, Univ. of Pittsburgh (United States)
Fully automated tumor segmentation in breast DCE-MRI using deep learning and kinetic prior
Paper 11318-31
Author(s): Lei Zhang, Dooman Arefan, Yuan Guo, Shandong Wu, Univ. of Pittsburgh (United States)
Show Abstract
Deep learning cervix anatomical landmark segmentation and evaluation
Paper 11318-32
Author(s): Peng Guo, Zhiyun Xue, Leonard R. Long, Sameer K. Antani, U.S. National Library of Medicine (United States)
Show Abstract
Deep learning for nuclei segmentation and cell classification in cervical liquid based cytology
Paper 11318-33
Author(s): Jie Zou, Zhiyun Xue, Gregory Brown, Leonard R. Long, Sameer K. Antani, U.S. National Library of Medicine (United States)
Show Abstract
Automated coronary artery segmentation in Coronary Computed Tomography Angiography (CCTA) using deep learning neural networks
Paper 11318-34
Author(s): Bang Jun Guo, Emory Univ. (United States); Yang Lei, Emory Univ. (United States); Yabo Fu, Tonghe Wang, Tian Liu, Walter Curran, Emory Univ. (United States); Long Jiang Zhang, Nanjing Univ. (China); Xiaofeng Yang, Emory Univ. (United States)
Show Abstract
Deep-learning-based multi-organ segmentation in pancreatic CT image
Paper 11318-35
Author(s): Yingzi Liu, Yang Lei, Yabo Fu, Tonghe Wang, Xiaojun Jiang, Tian Liu, Walter Curran, Pretesh Patel, Xiaofeng Yang, Emory Univ. (United States)
Show Abstract
Skin cancer segmentation and classification with improved deep convolutional neural network
Paper 11318-36
Author(s): Md Zahangir Alom, Theus Aspiras, Tarek M. Taha, Vijayan K. Asari, Univ. of Dayton (United States)
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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
Author(s): Bernard C. Kress, Microsoft Corp. (United States)
Show Abstract
Session PSMon:
Monday Poster Session
Monday 17 February 2020
5:30 PM - 7:00 PM
Location: Salon D/E
Machine learning for automatic construction of pediatric abdominal phantoms for radiation dose reconstruction
Paper 11318-38
Author(s): Marco Virgolin, Ctr. Wiskunde & Informatica (Netherlands); Ziyuan Wang, Tanja Alderliesten, Amsterdam UMC (Netherlands); Peter A. N. Bosman, Ctr. Wiskunde & Informatica (Netherlands), Technische Univ. Delft (Netherlands)
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A new case-based CAD scheme using a hierarchical SSIM feature extraction method to classify between malignant and benign cases
Paper 11318-39
Author(s): Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Yuchen Qiu, Bin Zheng, The Univ. of Oklahoma (United States)
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Estimation of a causal brain network in schizophrenia via a two-step Bayesian network analysis
Paper 11318-40
Author(s): Aiying Zhang, Gemeng Zhang, Tulane Univ. (United States); Vince Calhoun, Ctr. for Translational Research in Neuroimaging and Data Science (United States); Yu-Ping Wang, Tulane Univ. (United States)
Show Abstract
MR-radiomic biopsy for estimation of malignancy grade in parotid gland cancer
Paper 11318-41
Author(s): Hidemi Kamezawa, Teikyo Univ. (Japan); Hidetaka Arimura, Ryuji Yasumatsu, Kenta Ninomiya, Kyushu Univ. (Japan)
Show Abstract
Detection of defected nerve regions on retinal fundus images using OCT data for glaucoma screening
Paper 11318-43
Author(s): Chisako Muramatsu, Shiga Univ. (Japan); Ryusuke Watanabe, Akira Sawada, Gifu Univ. (Japan); Yuji Hatanaka, Univ. of Shiga Prefecture (Japan); Takeshi Hara, Tetsuya Yamamoto, Hiroshi Fujita, Gifu Univ. (Japan)
Show Abstract
Data standardisation in radiotherapy using deep learning
Paper 11318-44
Author(s): Phillip Hungerford, The Univ. of New South Wales (Australia)
Show Abstract
Radiomics for predicting response to neoadjuvant chemotherapy treatment in breast cancer
Paper 11318-45
Author(s): Simona Rabinovici-Cohen, Ami Abutbul, IBM Research - Haifa (Israel); Kari Antila, VTT Technical Research Ctr. of Finland Ltd. (Finland); Efrat Hexter, IBM Research - Haifa (Israel); Oliver Hijano-Cubelos, Institut Curie (France); Abed Khateeb, IBM Research - Haifa (Israel); Juha Pajula, VTT Technical Research Ctr. of Finland Ltd. (Finland); Shaked Perek, IBM Research - Haifa (Israel)
Show Abstract
One-class classification for highly imbalanced medical image data
Paper 11318-46
Author(s): Long Gao, National Univ. of Defense Technology (China), Univ. of Pittsburgh (United States); Lu Yang, Chongqing Univ. Cancer Hospital (China), Univ. of Pittsburgh (United States); Dooman Arefan, Shandong Wu, Univ. of Pittsburgh (United States)
Show Abstract
GPU based denoising Filter for MRI diagnostics in eHealthcare
Paper 11318-47
Author(s): Shraddha Oza, Army Institute of Technology (India); Kalyani R. Joshi, P.E.S. Modern College of Engineering (India)
Show Abstract
Self-supervised generative adversarial network for electronic cleansing in dual-energy CT colonography
Paper 11318-14
Author(s): Rie Tachibana, National Institute of Technology, Oshima College (Japan), Massachusetts General Hospital (United States), Harvard Medical School (United States); Janne J. Näppi, Toru Hironaka, Hiroyuki Yoshida, Massachusetts General Hospital (United States), Harvard Medical School (United States)
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GAN-based survival prediction model from CT images of patients with idiopathic pulmonary fibrosis
Paper 11318-13
Author(s): Tomoki Uemuraa, Chinatsu Watari, Janne J. Näppi, Toru Hironaka, Massachusetts General Hospital, Harvard Medical School (United States); Hyoungseop Kim, Kyushu Institute of Technology (Japan); Hiroyuki Yoshida, Massachusetts General Hospital, Harvard Medical School (United States)
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