发文地区与机构
近年国家 / 地区发文量统计
| 国家 / 地区 | 发文量 |
|---|---|
| USA | 4436 |
| CHINA MAINLAND | 682 |
| Canada | 564 |
| GERMANY (FED REP GER) | 261 |
| Japan | 247 |
| Netherlands | 176 |
| Australia | 172 |
| South Korea | 150 |
| England | 122 |
| Switzerland | 91 |
近年机构发文量统计
| 机构 | 发文量 |
|---|---|
| UNIVERSITY OF TEXAS SYSTEM | 656 |
| UNIVERSITY OF CALIFORNIA SYSTEM | 378 |
| HARVARD UNIVERSITY | 248 |
| UNIVERSITY OF WISCONSIN SYSTEM | 214 |
| WASHINGTON UNIVERSITY (WUSTL) | 195 |
| MEMORIAL SLOAN KETTERING CANCER CENTER | 189 |
| DUKE UNIVERSITY | 180 |
| MAYO CLINIC | 179 |
| UNIVERSITY OF PENNSYLVANIA | 160 |
| STANFORD UNIVERSITY | 151 |
文章引用情况
1
Radiobiological issues in prospective carbon ion therapy trials2
Image guidance doses delivered during radiotherapy: Quantification, management, and reduction: Report of the AAPM Therapy Physics Committee Task Group 1803
Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing4
A deep learning-based prediction model for gamma evaluation in patient-specific quality assurance5
A deep 3D residual CNN for false-positive reduction in pulmonary nodule detection6
Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging7
Knowledge-based automated planning for oropharyngeal cancer8
Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss9
Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images10
Deep learning for patient-specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks