Browse All

Current Filters

CLEAR FILTER x

TITLE

Application value of Radiomics Methods Based on DKI Sequence MK Map for Differentiating squamous Cell carcinoma from cervix Adenocarcinoma

Author:Shifeng Tian  Ailian Liu  Yan Guo  Yuan Wei  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:3002  

Room Session:Concurrent 5  

Institution:Department of Radiology, the First Affiliated Hospital of Dalian Medical University  GE Healthcare  

Breast MRI radiomic shape features for the prediction of neoadjuvant therapy response

Author:Wen Li  Rohan Nadkarni  David Newitt  Bo La Yun  Deep Hathi  Alex Nguyen  Natsuko Onishi  Lisa Wilmes  Ella Jones  Jessica Gibbs  Teffany Joy Bareng  Bonnie Joe  Elissa Price  Rita Mukhtar  John Kornak  Efstathios Gennatos  I-SPY 2 Consortium  Laura Esserman  Nola Hylton  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:3004  

Room Session:Concurrent 5  

Institution:Quantum Leap Healthcare Collaborative  University of California, San Francisco  Seoul National University Bundang Hospital  

Deep Learning 3D Convolutional Neural Network for Noninvasive Evaluation of Pathologic Grade of HCC Using Contrast-enhanced MRI

Author:Ying Zhao  Han Wen  Ailian Liu  Yu Yao  Tao Lin  Qingwei Song  Xin Li  Yan Guo  Tingfan Wu  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2990  

Room Session:Concurrent 5  

Institution:Chengdu Institute of CoChinese Academy of Sciences  GE healthcare (China)  The First Affiliated Hospital of Dalian Medical University  University of Chinese Academy of Sciences  

Deep learning based kidney segmentation for high temporal resolution tracking renal size changes during sequential gas challenges

Author:Kaixuan Zhao  Joao dos Santos Periquito  Thomas Gladytz  Kathleen Cantow  Luis Hummel  Jason Millward  Sonia Waiczies  Erdmann Seeliger  Yanqiu Feng  Thoralf Niendorf  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2995  

Room Session:Concurrent 5  

Institution:Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbruck Center for Molecular Medicine in the Helmholtz Association  Charité - Universitätsmedizin Berlin  Southern Medical University  Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association  

Deep Learning Reconstruction for DWI with b Values < 5000s/mm2: Improvement of Image Quality and Diagnostic Performance for Prostatic Cancer

Author:Takahiro Ueda  Yoshiharu Ohno  Kaori Yamamoto  Kazuhiro Murayama  Masato Ikedo  Masao Yui  Akiyoshi Iwase  Takashi Fukuba  Satomu Hanamatsu  Yuki Obama  Hirotaka Ikeda  Hiroshi Toyama  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2999  

Room Session:Concurrent 5  

Institution:Canon Medical Systems Corporation  Fujita Health University Hospital  Fujita Health University School of Medicine  

Deep learning-based detection of liver disease using MRI

Author:Mark Pinnock  Yipeng Hu  Alan Bainbridge  David Atkinson  Rajeshwar Mookerjee  Stuart Taylor  Dean Barratt  Manil Chouhan  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2988  

Room Session:Concurrent 5  

Institution:University College London  University College London Hospitals NHS Foundation Trust  

FAST 3D vs. Compressed Sensing vs. Parallel Imaging: Image Quality Improvement on MRCP with and without Deep Learning Reconstruction

Author:Takahiro Matsuyama  Yoshiharu Ohno  Kaori Yamamoto  Kazuhiro Murayama  Masato Ikedo  Masao Yui  Akiyoshi Iwase  Takashi Fukuba  Satomu Hanamatsu  Yuki Obama  Takahiro Ueda  Hirotaka Ikeda  Hiroshi Toyama  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2986  

Room Session:Concurrent 5  

Institution:Canon Medical Systems Corporation  Fujita Health University Hospital  Fujita Health University School of Medicine  

Few-shot deep learning for kidney segmentation

Author:Junyu Guo  Ivan Pedrosa  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2994  

Room Session:Concurrent 5  

Institution:UT Southwestern Medical Center  

Fully Automated Pelvic Bones Segmentation in Multiparameter MRI Using a 3D Convolutional Neural Network

Author:Xiang Liu  Chao Han  Xiaoying Wang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2997  

Room Session:Concurrent 5  

Institution:Peking University First Hospital  

Is it Feasible? IVIM-DWI and T2WI-based Texture Analysis Predicting Histological Types of Cervical Carcinoma Before Operation

Author:Jiang-ning Dong  Bin Shi  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2996  

Room Session:Concurrent 5  

Institution:The First Affiliated Hospital of USTC, Anhui Provincial Cancer Hospital  

Model-based Deep Learning Reconstruction using Folded Image Training Strategy (FITS-MoDL) for Liver MRI Reconstruction

Author:Satoshi Funayama  Utaroh Motosugi  Hiroshi Onishi  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2992  

Room Session:Concurrent 5  

Institution:Kofu-Kyoritsu Hospital  University of Yamanashi  

Motion Robust High-Resolution Pelvic Imaging using PROPELLER and Deep Learning Reconstruction

Author:Ali Pirasteh  Lloyd Estkowski  Daniel Litwiller  Ersin Bayram  Xinzeng Wang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2998  

Room Session:Concurrent 5  

Institution:GE Healthcare  UW Madison  

The nomogram of MRI-based radiomics with complementary visual features by machine learning improves stratification of glioblastoma patients

Author:ZHENYU SHU  YUYUN XU  YONG ZHANG  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:3005  

Room Session:Concurrent 5  

Institution:Zhejiang Provincial People’s Hospital  GE healthcare (China)  

Quantifying Efficiency and Variability of Clinical MRI Exams with Advanced Analytics Tools

Author:Sheena Chu  Scott Reeder  John Garrett  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:3001  

Room Session:Concurrent 5  

Institution:University of Wisconsin-Madison  

Radiomics Based on MR Imaging of Rectal Mucinous Adenocarcinoma: Assess Treatment Response to Neoadjuvant Chemoradiotherapy

Author:Fu Shen  Minglu Liu  Zhihui Li  Xiaolu Ma  Jianping Lu  Yuwei Xia  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:3003  

Room Session:Concurrent 5  

Institution:Changhai Hospital  Huiying Medical Technology Co., Ltd.  

T2-weighted Pelvic MR Imaging Using PROPELLER with Deep Learning Reconstruction for Improved Motion Robustness

Author:Mohammed Saleh  Sanaz Javadi  Manoj Mathew  Jong Son  Jia Sun  Ersin Bayram  Xinzeng Wang  Jingfei Ma  Janio Szklaruk  Priya Bhosale  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:3000  

Room Session:Concurrent 5  

Institution:GE Healthcare  MD Anderson Cancer Center  Stanford University  

T2WI liver MRI with deep learning-based reconstruction: a clinical feasibility study in comparison to conventional T2WI liver MRI

Author:Ruofan Sheng  Liyun Zheng  Shu Liao  Yongming Dai  Mengsu Zeng  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2991  

Room Session:Concurrent 5  

Institution:Shanghai United Imaging Intelligence  United Imaging Healthcare  Zhongshan Hospital  

A Two-Stage Deep Learning Model for Accurate Vessel Segmentation and Reconstruction in the MRI of Live

Author:Xu Luo  Ailian Liu  Yu Yao  Ying Zhao  Zhebin Chen  Meng Dou  Han Wen  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2989  

Room Session:Concurrent 5  

Institution:Chinese Academy of Sciences  Department of Radiology, the First Affiliated Hospital of Dalian Medical University  University of Chinese Academy of Sciences  

The value of Radiomics combined with Machine Learning in the staging of liver Fibrosis

Author:Fengxian Fan  Weiting Huang  Yanli Jiang  Wanjun Hu  Jing Zhang  Jialiang Ren  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2993  

Room Session:Concurrent 5  

Institution:GE Healthcare  LanZhou University  LanZhou University Second Hospital  

The value of radiomics-based model on contrast-enhanced MRI for predicting microvascular invasion in HCC before Partial Hepatectomy

Author:Tao Lin  Ailian Liu  Lihua Chen  Qingwei Song  Renwang Pu  Ying Zhao  Xue Ren  Yan Guo  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2987  

Room Session:Concurrent 5  

Institution:Department of Radiology, the First Affiliated Hospital of Dalian Medical University  GE Healthcare