Paper Review Records
All Paper Review Records
25 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
78
days
Development of a Deep Learning Model for Automated Measurement of Skeletal Muscle Volume in 18 F-FDG PET/CT
Authors
Ryusuke Nakamoto; Koji Fujimoto; Ryo Sakamoto; Masahiro Yakami; Tomomi W. Nobashi; Hiroyoshi Isoda; Masako Kataoka; Yuji NakamotoShow moreShow less
Affiliations
1. Preemptive Medicine and Lifestyle Related Disease Research Center, Kyoto University Hospital, Kyoto, Kyoto, Japan; 2. Department of Advanced Healthcare Informatics, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan; 3. Department of Real World Data R&D, Graduate School of Medicine, Kyoto University, Kyoto, Kyoto, Japan; 4. Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, JapanShow moreShow less
81
days
ADF-Net: Adaptive Directional Feature Fusion Network for OCTA Vessel Segmentation
Authors
Suxin Li; Idowu Paul OkuwobiShow moreShow less
Affiliations
1. School of Life & Environmental Sciences, Guilin University of Electronic Technology, Guilin, China; 2. Guangxi Academy of Artificial Intelligence, Nanning, China; 3. Nantong Hamadun Medical Technology Co., Ltd, Nantong, ChinaShow moreShow less
88
days
LCRE-Net: A Lightweight Cross-Scale Residual Enhancement Network for Lung Segmentation in CT Images
Authors
Ju-Rong Ding; Jie Wang; Xia Li; Shuo Liu; Yan-Chun Rao; Zheng-Ting Jiang; Xue-Mei Lan; Bo HuaShow moreShow less
Affiliations
1. School of Medicine, Sichuan University of Science and Engineering, Zigong, People’s Republic of China; 2. Intelligent Perception and Control Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Sichuan Province, Zigong, People’s Republic of China; 3. Department of Dermatology, Zigong Fourth People’s Hospital, Sichuan University of Science and Engineering School of Medicine, Zigong, People’s Republic of China; 4. School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, People’s Republic of ChinaShow moreShow less
103
days
DIFNet: A Dual-Branch Interactive Fusion Network for Femoral Nerve Segmentation in Ultrasound Images
Authors
Junbo Gao; Yujie He; Wei Sun; Xi HanShow moreShow less
Affiliations
1. College of Information Engineering, Shanghai Maritime University, Shanghai, ChinaShow moreShow less
198
days
ABUS-ResMask-Net: ABUS Lesion Classification Network Design with ResMask Module and BI-RADS Content-Awareness Auxiliary Tasks
Authors
Wen Li; Yinglan Kuang; Huajia Wang; Jie Li; Meichen Wang; Minghai Deng; Xing Lu; Yalei Shang; Yonggang LiShow moreShow less
Affiliations
1. Department of Radiology, The First Affiliated Hospital of Soochow University, Jiangsu Province, Suzhou City, P.R. China; 2. Department of Ultrasound, Shanghai Health and Medical Center, Jiangsu Province, Wuxi City, P.R. China; 3. Zhuhai Hengqin Sanmed Aitech Inc, Zhuhai City, P.R. China; 4. Zhuhai Sanmed Biotech Ltd, Zhuhai City, P.R. China; 5. Department of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen City, P.R. China; 6. Institute of Medical Imaging, Soochow University, Suzhou City, P.R. China; 7. Suzhou Key Laboratory of Medical Imaging, Suzhou City, P.R. ChinaShow moreShow less
90
days
Neoadjuvant Chemoradiotherapy on Postoperative Complications of Rectal Cancer: A Retrospective Study Integrating MRI Radiomics and Deep Learning
Authors
Yuchen Bu; Liuping Zhu; Zhonghua Ning; Wenli Wang; Mengyu Wang; Sen Wang; Danming Li; Sheng Zhang; Chun Yang; Riyue JiangShow moreShow less
Affiliations
1. Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China; 2. Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, China; 3. Department of Radiation Oncology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, ChinaShow moreShow less
Expert Matching · Case Demo
Turn Your Submission Goalsinto a Verifiable Journal Plan
Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.
Client
I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?
CrushSCI
Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.
- Suggested title
- Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review62 days
Median65 days