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Assessing the variability of contours performed by DL algorithms in prostate MRI

Author:Jeremiah Sanders  Henry Mok  Alexander Hanania  Aradhana Venkatesan  Chad Tang  Teresa Bruno  Howard Thames  Rajat Kudchadker  Steven Frank  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4106  

Room Session:Concurrent 5  

Institution:Baylor College of Medicine  UT MD Anderson Cancer Center  

Automated image segmentation of prostate MR elastography by dense-like U-net.

Author:Nader Aldoj  Federico Biavati  Sebastian Stober  Marc Dewey  Patrick Asbach  Ingolf Sack  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4110  

Room Session:Concurrent 5  

Institution:Charité  Ovgu Magdeburg  

Classification of Cancer at Prostate MRI: Artificial Intelligence versus Clinical Assessment and Human-Machine Synergy

Author:guiqin LIU  Guangyu Wu  Yongming Dai  Ke Xue  Shu Liao  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4115  

Room Session:Concurrent 5  

Institution:Radiology, Renji Hospital,Shanghai Jiaotong University School of Medicine  Shanghai United Imaging Intelligence Co. Ltd  United Imaing Healthcare  

Deep learning for synthesizing apparent diffusion coefficient maps of the prostate: A tentative study based on generative adversarial networks

Author:lei hu  jungong Zhao  Caixia Fu  Thomas Benkert  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4124  

Room Session:Concurrent 5  

Institution:Department of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixt  MR Application Development, Siemens Shenzhen magnetic Resonance Ltd  MR Application Predevelopment, Siemens Healthcare, Erlangen, Gernmany  

Deep learning reconstruction enables highly accelerated T2 weighted prostate MRI

Author:Patricia Johnson  Angela Tong  Paul Smereka  Awani Donthireddy  Robert Petrocelli  Hersh Chandarana  Florian Knoll  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4122  

Room Session:Concurrent 5  

Institution:New York University School of Medicine  

Evaluation of the inter-reader reproducibility of the PI-QUALscoring system for prostate MRI quality

Author:Francesco Giganti  Eoin Dinneen  Veeru Kasivisvanathan  Aiman Haider  Alex Freeman  Mark Emberton  Greg Shaw  Caroline M Moore  Clare Allen  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4112  

Room Session:Concurrent 5  

Institution:University College London  University College London Hospital  

Few-shot Meta-learning with Adversarial Shape Prior for Zonal Prostate Segmentation on T2 Weighted MRI

Author:Han Yu  Varut Vardhanabhuti  Peng Cao  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4107  

Room Session:Concurrent 5  

Institution:The University of Hong Kong  

Machine learning challenge using uniform prostate MRI scans from 4 centers (PRORAD)

Author:Harri Merisaari  Pekka Taimen  Otto Ettala  Juha Knaapila  Kari Syvänen  Esa Kähkönen  Aida Steiner  Janne Verho  Paula Vainio  Marjo Seppänen  Jarno Riikonen  Sanna Mari Vimpeli  Antti Rannikko  Outi Oksanen  Tuomas Mirtti  Ileana Montoya Perez  Tapio Pahikkala  Parisa Movahedi  Tarja Lamminen  Jani Saunavaara  Peter Boström  Hannu Aronen  Ivan Jambor  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4111  

Room Session:Concurrent 5  

Institution:Helsinki University Hospital  Icahn School of Medicine at Mount Sinai  Satakunta Central Hospital  Tampere University Hospital  Turku University Hospital  University of Turku  

A mutual communicated model based on multi-parametric MRI for automated prostate cancer segmentation and classification

Author:Piqiang Li  Zhao Li  Qinjia Bao  Kewen Liu  Xiangyu Wang  Guangyao Wu  Chaoyang Liu  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4108  

Room Session:Concurrent 5  

Institution:Department of Radiology, Shenzhen University General Hospital  Department of Radiology, The First Affiliated Hospital of Shenzhen University  School of Information Engineering, Wuhan University of Technology  State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathmatics, Innovation Academy for Precision Measurement Science and Technology  

Non-invasive Gleason Score Classification with VERDICT-MRI

Author:Vanya Valindria  Saurabh Singh  Eleni Chiou  Thomy Mertzanidou  Baris Kanber  Shonit Punwani  Marco Palombo  Eleftheria Panagiotaki  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4120  

Room Session:Concurrent 5  

Institution:University College London  

A novel unsupervised domain adaptation method for deep learning-based prostate MR image segmentation

Author:Cheng Li  Hui Sun  Taohui Xiao  Xin Liu  Hairong Zheng  Shanshan Wang  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4109  

Room Session:Concurrent 5  

Institution:Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Prostate Cancer Detection Using High b-Value Diffusion MRI with a Multi-task 3D Residual Convolutional Neural Network

Author:Guangyu Dan  Min Li  Mingshuai Wang  Zheng Zhong  Kaibao Sun  Muge Karaman  Tao Jiang  Xiaohong Joe Zhou  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4113  

Room Session:Concurrent 5  

Institution:Beijing Chaoyang Hospital, Capital Medical University  University of Illinois at Chicago  

Prostate Cancer Risk Maps Derived from Multi-parametric MRI and Validated by Histopathology

Author:Matthew Gibbons  Jeffry Simko  Peter Carroll  Susan Noworolski  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4121  

Room Session:Concurrent 5  

Institution:University of California, San Francisco  

Radiomics models based on ADC maps for predicting high-grade prostate cancer at radical prostatectomy: comparison with preoperative biopsy

Author:Chao Han  Shuai Ma  Xiang Liu  Yi Liu  Changxin Li  Yaofeng Zhang  Xiaodong Zhang  Xiaoying Wang  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4119  

Room Session:Concurrent 5  

Institution:Beijing Smart Tree Medical Technology Co. Ltd.  Peking University First Hospital  

Rapid submillimeter high-resolution prostate T2 mapping with a deep learning constrained Compressed SENSE reconstruction

Author:Masami Yoneyama  Takashige Yoshida  Jihun Kwon  KOHEI YUDA  Yuki Furukawa  Nobuo Kawauchi  Johannes Peeters  Marc Van Cauteren  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4117  

Room Session:Concurrent 5  

Institution:Philips Healthcare  Philips Japan  Tokyo Metropolitan Police Hospital  

Reduction of B1-field induced inhomogeneity for body imaging at 7T using deep learning and synthetic training data.

Author:Seb Harrevelt  Lieke Wildenberg  Dennis Klomp  C.A.T. van den Berg  Josien Pluim  Alexander Raaijmakers  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4123  

Room Session:Concurrent 5  

Institution:TU Eindhoven  UMC Utrecht  

The repeatability of deep learning-based segmentation of the prostate, peripheral and transition zones on T2-weighted MR images

Author:Mohammed R. S. Sunoqrot  Kirsten M. Selnæs  Elise Sandsmark  Sverre Langørgen  Helena Bertilsson  Tone F. Bathen  Mattijs Elschot  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4105  

Room Session:Concurrent 5  

Institution:NTNU, Norwegian University of Science and Technolog  St. Olavs Hospital, Trondheim University Hospital  

Repeatability of Radiomic Features in T2-Weighted Prostate MRI: Impact of Pre-processing Configurations

Author:Dyah Ekashanti Octorina Dewi  Mohammed R. S. Sunoqrot  Gabriel Addio Nketiah  Elise Sandsmark  Sverre Langørgen  Helena Bertilsson  Mattijs Elschot  Tone Bathen  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4116  

Room Session:Concurrent 5  

Institution:Norwegian University of Science and Technology  St. Olavs Hospital, Trondheim University Hospital  

Sensitivity of radiomics to inter-reader variations in prostate cancer delineation on MRI should be considered to improve generalizability

Author:Rakesh Shiradkar  Michael Sobota  Leonardo Kayat Bittencourt  Sreeharsha Tirumani  Justin Ream  Ryan Ward  Amogh Hiremath  Ansh Roge  Amr Mahran  Andrei Purysko  Lee Ponsky  Anant Madabhushi  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4118  

Room Session:Concurrent 5  

Institution:Case Western Reserve University  Cleveland Clinic  University Hospitals Cleveland Medical Center  

T2-Weighted MRI-Derived Texture Features in Characterization of Prostate Cancer

Author:Dharmesh Singh  Virendra Kumar  Chandan Das  Anup Singh  Amit Mehndiratta  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4114  

Room Session:Concurrent 5  

Institution:All India Institute of Medical Sciences (AIIMS) Delhi  Indian Institute of Technology (IIT) Delhi