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Artificial Intelligence Prediction of Breast Cancer Pathologic Complete Response from Axillary Lymph Node MRIs

Author:Janice Yang  Thomas Ren  Hongyi Duanmu  Pauline Huang  Renee Cattell  Haifang Li  Fusheng Wang  Tim Duong  

Institution:Stony Brook University  Dougherty Valley High School  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2316  

Room Live Q&A Session:

Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images

Author:Yang Zhang  Jiejie Zhou  Youngjean Park  Siwa Chan  Meihao Wang  Min Jung Kim  Kai-Ting Chang  Peter Chang  Daniel Chow  Jeon-Hor Chen  Min-Ying Su  

Institution:First Affiliate Hospital of Wenzhou Medical University  Severance Hospital, Yonsei University College of Medicine  Taichung Tzu-Chi Hospital  University of California  E-Da Hospital and I-Shou University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2318  

Room Live Q&A Session:

Automatic Segmentation of Tumor-related Vessels of Breast Cancer on Ultrafast DCE MRI using U-Net

Author:Masako Kataoka  Takuto Fukutome  Tomohiro Takemura  Kango Kawase  Kojiro Yano  Maya Honda  Mami Iima  Akane Ohashi  Masakazu Toi  Kaori Togashi  

Institution:Kyoto University Hospital  Kyoto University  Kyoto University Graduate School of Medicine  Osaka Institute of Technology  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2313  

Room Live Q&A Session:

Background Parenchymal Enhancement (BPE) classification on Breast MRI using Deep Learning

Author:Sarah Eskreis-Winkler  Katja Pinker  Donna D'Alessio  Katherine Gallagher  Nicole Saphier  Danny Martinez  Elizabeth Sutton  Elizabeth Morris  

Institution:Memorial Sloan Kettering Cancer Center  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2319  

Room Live Q&A Session:

Classification of Breast Magnetic Resonance Imaging Using 3D Convolution Neural Network: A Pilot Study

Author:Cindy Xue  Gladys Lo  Victor Ai  Oilei Wong  Max Law  Jing Yuan  

Institution:Hong Kong Sanatorium and Hospital  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2314  

Room Live Q&A Session:

Combination of curve types, shape and gray level co-occurrence matrix features on breast MR to differentiate mass-like DCIS from invasive cancer

Author:Kun Cao  Ying Li  Ying-Shi Sun  

Institution:Peking University Cancer Hospital & Institute  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2325  

Room Live Q&A Session:

Comparison of Breast Cancer Diagnostic Performance Using Radiomics Models Built Based on Features Extracted from DCE-MRI and Mammography

Author:Jiejie Zhou  Yang Zhang  Kyoung Lee  Jeon-Hor Chen  Xiaxia He  Nina Xu  Shuxin Ye  Ouchen Wang  Jiance Li  Yezhi Lin  Meihao Wang  Min-Ying Su  

Institution:First Affiliate Hospital of Wenzhou Medical University  Inje University Seoul Paik Hospital  University of California  Wenzhou Medical University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2321  

Room Live Q&A Session:

Diagnosis of Non-Mass-Like Enhancement Lesions on DCE-MRI by Using Quantitative Radiomics and Radiologists’ BI-RADS Reading

Author:Meihao Wang  Yang Zhang  Jiejie Zhou  Haiwei Miu  Nina Xu  Xiaxia He  Shuxin Ye  Huiru Liu  Ouchen Wang  Jiance Li  Yezhi Lin  Min-Ying Su  

Institution:First Affiliate Hospital of Wenzhou Medical University  University of California, Irvine  Wenzhou Medical University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2323  

Room Live Q&A Session:

Diffusion-Weighted MRI-Based Quantitative Markers for Characterizing Breast Cancer Lesions Using Machine Learning

Author:Rahul Mehta  Muge Karaman  Yangyang Bu  Zheng Zhong  Guangyu Dan  Shiwei Wang  Changyu Zhou  Weihong Hu  X. Zhou  Maosheng Xu  

Institution:The First Clinical Medical College, Zhejiang Chinese Medical University  University of Illinois at Chicago  The First Affiliated Hospital of Zhejiang Chinese Medical University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2315  

Room Live Q&A Session:

Implementing compressed sensing with deep image prior to reconstruct undersampled dynamic contrast-enhanced MRI data of the breast

Author:Kalina Slavkova  Julie DiCarlo  David Van Veen  Anum Syed  Ajil Jalal  John Virostko  Anna Sorace  Alexandros Dimakis  Thomas Yankeelov  

Institution:University of Alabama at Birmingham  University of Texas at Austin  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2317  

Room Live Q&A Session:

Improvement of Radiomics Prediction by Robustness Preselection

Author:Renee Cattell  Shenglan Chen  Jie Ding  Chuan Huang  

Institution:Stony Brook University  Li Ka Shing Faculty of Medicine, The University of Hong Kong  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2326  

Room Live Q&A Session:

Inter-reader variability in Breast MRI Radiomics

Author:michael Fox  Roberto Lo Gullo  Isaac Daimiel Naranjo  Carolina Saccarelli  Almir Bitencourt  Katja Pinker-Domenig  Peter Gibbs  

Institution:Memorial Sloan Kettering Cancer Center  Medical University of Vienna  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2322  

Room Live Q&A Session:

Prediction axillary lymph node status of Breast Cancer by MRI Radiomics

Author:Lan Li  Tao YU  ShiXi Jiang  YouXi Yuan  JiuQuan Zhang  jianqing sun  

Institution:Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital  Philips Healthcare  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2324  

Room Live Q&A Session:

Shortening Diagnostic T2w Breast Protocols to Capitalize on the Benefits of a Deep Learning Reconstruction

Author:Timothy Allen  Leah Henze Bancroft  Roberta Strigel  Ty Cashen  Orhan Unal  Frank Korosec  Ping Wang  Lloyd Estkowski  Fred Kelcz  Amy Fowler  R Lebel  James Holmes  

Institution:GE Healthcare  University of Wisconsin-Madison  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2320  

Room Live Q&A Session:

Textural kinetics of suspicious breast lesions on ultrafast DCE-MRI as a lesion classifier

Author:Federico Pineda  Ty Easley  Deepa Sheth  Hiroyuki Abe  Milica Medved  Gregory Karczmar  

Institution:University of Chicago  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)  

Program Number:2327  

Room Live Q&A Session: