编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 08:00-08:07 | 论文发言 |
观看视频
Added Value of T1 Mapping to Conventional Multi-parametric MRI Radiomics Model in Breast Lesions Diagnosis: A Preliminary Study |
连纯 | 北京大学深圳医院 |
2 | 08:07-08:14 | 论文发言 |
Diagnostic performance of spectral CT for triple-negative breast cancer |
陈澜菁 | 西南医科大学附属医院 |
3 | 08:14-08:21 | 论文发言 |
Enhancing Breast Cancer Risk Prediction with a Multimodal CLIP Model |
马乐 | 南方医科大学南方医院 |
4 | 08:21-08:28 | 论文发言 |
Differential Diagnostic Value of Mapping Technology in Breast Cancer With HER2-Low Expression and HER2-High Expression |
张瑶 | 荆州市第一人民医院 |
5 | 08:28-08:35 | 论文发言 |
Development and validation of a prediction model for benign and malignant breast tumors |
马点培 | 蚌埠医科大学 |
6 | 08:35-08:42 | 论文发言 |
Diagnosis of breast tumors based on multivariate AIC model of DCE MRI hemodynamic features: a retrospective two-center study |
孟占鳌 | 中山大学附属第三医院 |
7 | 08:42-08:49 | 论文发言 |
The application of body surface area-based individualized iodine contrast agent injection protocol in coronary computed tomography angiography performance enhancing |
赵延洁 | 华中科技大学同济医学院附属同济医院 |
8 | 08:49-08:56 | 论文发言 |
Impact of CT deep learning image reconstruction on radiation dose reduction and image quality: A phantom study |
魏伟 | 陕西中医药大学附属医院 |
9 | 08:56-09:03 | 论文发言 |
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Stage IA Lung Adenocarcinoma Manifesting as Irregular Subsolid Nodules: Clinical and Computed Tomography Characteristics and Invasive Prediction |
黄兴涛 | 重庆市第五人民医院 |
10 | 09:03-09:10 | 论文发言 |
Improved small vessel visibility in diabetic foot arteriography using dual-energy CT |
臧奕恺 | 复旦大学附属中山医院 |
11 | 09:10-09:17 | 论文发言 |
The application of dark-blood computed tomography angiography for the assessment of aortic wall disease in patients with acute aortic syndrome |
李娜 | 华中科技大学同济医学院附属协和医院 |
12 | 09:17-09:24 | 论文发言 |
A Machine Learning model based on dual-energy CT to predict and classify invasiveness of lung adenocarcinoma |
万佳语 | 华中科技大学同济医学院附属协和医院 |
13 | 09:24-09:30 | 讨论点评 |
讨论 |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 09:40-09:47 | 论文发言 |
Predicting Pulmonary Fibrosis Progression in Coalworker Pneumoconiosis Using a CT Radiomics and Clinical Features Model |
王威 | 重庆医药高等专科学校附属第一医院 |
2 | 09:47-09:54 | 论文发言 |
High-pressure injector can generate electrical interference with the 31P-MRSI signal |
李彦 | 上海交通大学医学院附属瑞金医院 |
3 | 09:54-10:01 | 论文发言 |
观看视频
Predicting Recurrence-Free Survival in Sarcoma Using MRI-Based Automatic Segmentation Models and Radiomics Nomograms: A Preliminary Multicenter Study |
朱娜娜 | 天津市天津医院 |
4 | 10:01-10:08 | 论文发言 |
Accelerated MRI in Temporomandibular Joints Using Deep Learning-assisted Compressed Sensing Technique |
吕欣阳 | 四川大学华西医院 |
5 | 10:08-10:15 | 论文发言 |
Size specific dose estimation for estimating patient organ dose and effective dose in cardiac coronary artery CT angiography |
聂壮 | 华中科技大学同济医学院附属协和医院 |
6 | 10:15-10:22 | 论文发言 |
Enhanced preoperative grading of adult brain gliomas through the integrated application of Td-MRI and CEST |
张新利 | 华中科技大学同济医学院附属协和医院 |
7 | 10:22-10:29 | 论文发言 |
Time-dependent diffusion MRI for early predicting pathological complete response to neoadjuvant short-course radiotherapy followed by camrelizumab and chemotherapy in locally advanced rectal cancer |
张兰 | 华中科技大学同济医学院附属协和医院 |
8 | 10:29-10:36 | 论文发言 |
Visualization analysis of CBL application in Chinese and international medical education based on big data mining |
岳军艳 | 新乡医学院第一附属医院 |
9 | 10:36-10:43 | 论文发言 |
Preoperative prediction of EBV expression in gastric cancer based on quantitative and qualitative features of enhanced CT |
郑月 | 郑州大学 |
10 | 10:43-10:50 | 论文发言 |
CT-based Delta-radiomics for Predicting Pathological Response to Neoadjuvant Immunochemotherapy in Esophageal Squamous Cell Carcinoma:A Multicenter Study |
郑雨婷 | 华中科技大学同济医学院附属协和医院 |
11 | 10:50-10:57 | 论文发言 |
Influence of the denoising algorithm on pericoronary adipose CT attenuation: comparison between adaptive statistical iterative reconstruction and deep learning image reconstruction |
陈丽虹 | 西安交通大学第一附属医院 |