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Displaying 1 - 16 of 16

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Cervical cancer diagnosis from diffusion weighted imaging using deep convolutional neural networks

Author:Souha Aouadi Tarraf Torfeh Othmane Bouhali Suparna Chandramouli Mojtaba Barzegar Rabih Hammoud Noora Al-Hammadi

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3606

Room Session:Exhibition Hall (Hall 403)

Institution:National Center for Cancer Care and Research Texas A&M University at Qatar Brain Mapping Foundation

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Development and validation of an MRI-based radiomics nomogram to predict progression-free survival in patients with endometrial cancer

Author:Ling Liu Xiaodong Ji Caihong Liang Jinxia Zhu Wen Shen

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3597

Room Session:Exhibition Hall (Hall 403)

Institution:First Central Hospital, Tianjin, China Jinghai Hospital, Tianjin, China Siemens Healthineers Ltd. The First Central Clinical College of Tianjin Medical University, Tianjin, China

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Habitats based multiparametric magnetic resonance imaging radiomics model for prediction of endometrial cancer molecular subtypes.

Author:Wentao Jin He Zhang Haiming Li Guofu zhang Wentao Li Tianping Wang

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3596

Room Session:Exhibition Hall (Hall 403)

Institution:Fudan University Shanghai Cancer Center Obstetrics and Gynecology Hospital of Fudan University

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Highly Accelerated DCE-MRI Analysis with Deep Learning and Dispersion-applied AIFs

Author:Kai Zhao Kaifeng Pang Sara Babapour Holden Wu Kyunghyun Sung

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3602

Room Session:Exhibition Hall (Hall 403)

Institution:University of California, Los Angeles

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MRI-based Radiomics Nomogram in Preoperative Prediction of Lymph Node Metastasis of Endometrial Cance

Author:Yao Yao Dmytro Pylypenko Zebo Huang Wenwei Tang

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3603

Room Session:Exhibition Hall (Hall 403)

Institution:GE Healthcare, MR Research China Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital

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Multimodal MRI-Based Radiomics Combining 3D Deep Transfer Learning for Predicting Cervical Stromal Invasion in Endometrial Carcinoma

Author:Xianhong Wang Qiu Bi Guoli Bi Yunzhu Wu

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3604

Room Session:Exhibition Hall (Hall 403)

Institution:Medical school, Kunming University of Science and Technology MR Research Collaboration Team, Siemens Healthineers Ltd The First People's Hospital of Yunnan Province

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Multiparametric MRI based deep learning model for automatic segmentation of tumor and lymph nodes in rectal cancer

Author:Yihan Xia Lan Zhu Bowen Shi Weiming Feng Kangning Wang Pu-Yeh Wu Huan Zhang

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3609

Room Session:Exhibition Hall (Hall 403)

Institution:GE HealthCare Ruijin Hospital, Shanghai Jiao Tong University of Medicine

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A new approach for automatic segmentation of prostate and its lesion regions on the magnetic resonance imaging

Author:Huipeng Ren Qinyun Wan Xiaocheng Wei Hongzhe Tian Shan Li Huan Wang Zhuanqin Ren

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3594

Room Session:Exhibition Hall (Hall 403)

Institution:Baoji Central Hospital GE HealthCare MR Research

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Prediction of Postsurgical Progression of Prostate Cancer Using MRI Cancer Risk Maps

Author:Matthew Gibbons Janet Cowen Peter Carroll Matthew Cooperberg Susan Noworolski

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3605

Room Session:Exhibition Hall (Hall 403)

Institution:University of California, San Francisco

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Prediction of Tumor-Stroma Ratio in Prostate Cancer using multiparametric MRI-Based Radiomics Mode

Author:Jiangqin Ma Xiaojing He Yunfan Liu Xiaofeng Qiao Zhonglin Zhang Xiaoyong Zhang

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3601

Room Session:Exhibition Hall (Hall 403)

Institution:Clinical Science, Philips Healthcare The Second Affiliated Hospital of Chongqing Medical University

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Preoperative prediction of lymph node metastasis in endometrial cancer based on an intra- and peritumoral multiparameter MRI radiomics nomogram

Author:Bin Yan

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3598

Room Session:Exhibition Hall (Hall 403)

Institution:Shaanxi Provincial Tumor Hospital, Xi'an Jiaotong University

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Role of Gd-EOB-DTPA-enhanced MRI in Hepatic Fibrosis Staging: Insights from Hepatobiliary Phase Imaging

Author:Yufan Ren Genwen Hu Xinming Li Min Li Jiaqi Lyu Haojun Lu Yongzhou Xu Congyue Guo Ge Zhang Xianyue Quan

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3595

Room Session:Exhibition Hall (Hall 403)

Institution:Philips Healthcare Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University Zhujiang Hospital of Southern Medical University

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Using intra-and peri-tumoral radiomics features to identify LMN and LVSI in endometrial cancer from MRI images

Author:Shengyong Li He Zhang Yida Wang Yang Song Guang Yang

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3600

Room Session:Exhibition Hall (Hall 403)

Institution:East China Normal University Fudan University Siemens Healthineers Ltd

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Using Machine Learning to Predict the Efficacy of Neoadjuvant Chemoradiotherapy for Local Advanced Rectal Cancer Based on Texture Features of MRI

Author:Fei Gao Zhenchao Tao

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3608

Room Session:Exhibition Hall (Hall 403)

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

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Utility of whole tumor texture analysis based on MRI and ADC values in differentiating uterine sarcomas from cellular uterine leiomyomas

Author:Zhong Yang Cao Wei

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3607

Room Session:Exhibition Hall (Hall 403)

Institution:Graduate school of Bengbu Medical College The First Affiliated Hospital of USTC

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Utilizing XGBoost and LR to find the significant predictive factors of MR-guided high intensity focused ultrasound ablation in uterine fibroids

Author:Zhihao Li Chenxia Li Ting Liang Xiang Li Rong Wang Yuelang Zhang Jian Yang

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:AI/ML Applications: Pelvic Organs

Program Number:3599

Room Session:Exhibition Hall (Hall 403)

Institution:The First Affiliated Hospital of Xi'an Jiaotong University

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Cervical cancer diagnosis from diffusion weighted imaging using deep convolutional neural networks

Development and validation of an MRI-based radiomics nomogram to predict progression-free survival in patients with endometrial cancer

Habitats based multiparametric magnetic resonance imaging radiomics model for prediction of endometrial cancer molecular subtypes.

Highly Accelerated DCE-MRI Analysis with Deep Learning and Dispersion-applied AIFs

MRI-based Radiomics Nomogram in Preoperative Prediction of Lymph Node Metastasis of Endometrial Cance

Multimodal MRI-Based Radiomics Combining 3D Deep Transfer Learning for Predicting Cervical Stromal Invasion in Endometrial Carcinoma

Multiparametric MRI based deep learning model for automatic segmentation of tumor and lymph nodes in rectal cancer

A new approach for automatic segmentation of prostate and its lesion regions on the magnetic resonance imaging

Prediction of Postsurgical Progression of Prostate Cancer Using MRI Cancer Risk Maps

Prediction of Tumor-Stroma Ratio in Prostate Cancer using multiparametric MRI-Based Radiomics Mode

Preoperative prediction of lymph node metastasis in endometrial cancer based on an intra- and peritumoral multiparameter MRI radiomics nomogram

Role of Gd-EOB-DTPA-enhanced MRI in Hepatic Fibrosis Staging: Insights from Hepatobiliary Phase Imaging

Using intra-and peri-tumoral radiomics features to identify LMN and LVSI in endometrial cancer from MRI images

Using Machine Learning to Predict the Efficacy of Neoadjuvant Chemoradiotherapy for Local Advanced Rectal Cancer Based on Texture Features of MRI

Utility of whole tumor texture analysis based on MRI and ADC values in differentiating uterine sarcomas from cellular uterine leiomyomas

Utilizing XGBoost and LR to find the significant predictive factors of MR-guided high intensity focused ultrasound ablation in uterine fibroids