Paper Review Records
全部论文审稿周期
5 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期；保留 PDF/DOI/网页源链接
278
天
Domain-aligned self-supervision: CT-specialized DINOv3 enhances PET/CT tumor segmentation
作者
Yu-Nong Scarlett Lin; Shansong Wang; Yuheng Li; Mojtaba Safari; Qiang Li; Zach Eidex; Yizhou Wu; Ryan Sanford; Kevin T Chen; Xiaofeng Yang展开收起
作者单位
1. Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America; 2. Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, United States of America; 3. Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America; 4. Department of Computer Science, Emory University, Atlanta, GA, United States of America; 5. Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America; 6. School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America; 7. Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan; 8. Center for Advanced Computing and Imaging in Biomedicine, National Taiwan University, Taipei, Taiwan展开收起
87
天
Impact of depth-of-interaction and spatially-variant point-spread-function model on the performance of ultra-high resolution brain PET
作者
Tianyi Zeng; Yassir Najmaoui; Jiazhen Zhang; Tommaso Volpi; Kathryn Fontaine; Yanis Chemli; Yifan Hu; Jean-Dominique Gallezot; Chen Sun; Yihuan Lu; Georges El Fakhri; Richard E Carson; Thibault Marin展开收起
作者单位
1. Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States of America; 2. Yale Biomedical Imaging Institute, Yale School of Medicine, New Haven, CT, United States of America; 3. Department of Biomedical Engineering, Yale University, New Haven, CT, United States of America; 4. United Imaging Healthcare, Shanghai, People’s Republic of China展开收起
156
天
S2V-DREME: a time-resolved slice-to-volume MR image reconstruction framework with dynamic reconstruction and motion estimation
作者
Xiaoxue Qian; Hua-Chieh Shao; Jie Deng; Yan Dai; You Zhang展开收起
作者单位
1. The Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America展开收起
154
天
Towards a clinically practical computational platform for systematically adapting radiation therapy for glioma patients
作者
Hugo J M Miniere; David A Hormuth; Ernesto A B F Lima; T J Whitaker; Maguy Farhat; Bikash Panthi; Holly Langshaw; Mihir D Shanker; Wasif Talpur; Sara Thrower; Jodi Goldman; Caroline Chung; Thomas E Yankeelov展开收起
作者单位
1. Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, United States of America; 2. UT Austin Cancer Research Center, The University of Texas at Austin, Austin, TX 78712, United States of America; 3. Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, United States of America; 4. Texas Advanced Computing Center, Austin, TX 78758, United States of America; 5. Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America; 6. Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America; 7. Faculty of Medicine, The University of Queensland, Australia; 8. Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America; 9. Diagnostic Medicine, The University of Texas at Austin, Austin, TX 78712, United States of America展开收起
184
天
OptiGAN for crystal arrays: physics-informed generative modeling of optical photon transport in PET detector arrays
作者
Stephan Naunheim; Brandon Pardi; Guneet Mummaneni; Carlotta Trigila; Emilie Roncali展开收起
作者单位
1. Department of Biomedical Engineering, University of California, Davis, CA, United States of America; 2. Department of Computer Science, University of California, Davis, CA, United States of America; 3. Department of Radiology, University of California, Davis, CA, United States of America展开收起
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客户询问
我是环境工程专业，需要一篇 SCI，希望 3 个月内见刊。没有基金，也没有大牛挂名，可以投哪些期刊？
CrushSCI回复
可以。先按 90 天时限做可行性筛选，同步查找无基金、无知名作者挂靠的典型论文案例，作为选刊依据。重点核对研究质量与期刊 scope。
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- 《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》
样本口径2026 年最近 5 篇有效论文样本
平均审稿62 天
中位数65 天