| 1 |
2024 |
Yaniv Zager, Nir Horesh, Michael Abdelmasseh, Christopher T. Aquina, Bustamante Lopez Leonardo Alfonso, Mark K. Soliman, Matthew R. Albert, John R. T. Monson. The predicting value of post neoadjuvant treatment magnetic resonance imaging: a meta-analysis, Surgical Endoscopy. 2024; 38: 6846.
https://doi.org/10.1007/s00464-024-11084-3 |
| 2 |
2024 |
Yoshinori Kagawa, J. Joshua Smith, Emmanouil Fokas, Jun Watanabe, Andrea Cercek, Florian R. Greten, Hideaki Bando, Qian Shi, Julio Garcia-Aguilar, Paul B. Romesser, Natally Horvat, Hanna Sanoff, William Hall, Takeshi Kato, Claus Rödel, Arvind Dasari, Takayuki Yoshino. Future direction of total neoadjuvant therapy for locally advanced rectal cancer, Nature Reviews Gastroenterology & Hepatology. 2024; 21: 444.
https://doi.org/10.1038/s41575-024-00900-9 |
| 3 |
2024 |
Liang Zhang, Xueting Qu, Feng Duan, Jizheng Lin, Henan Lou, Guohua Wang. 2024;
https://doi.org/10.21203/rs.3.rs-3991272/v1 |
| 4 |
2024 |
Samira Abbaspour, Maedeh Barahman, Hamid Abdollahi, Hossein Arabalibeik, Ghasem Hajainfar, Mohammadreza Babaei, Hamed Iraji, Mohammadreza Barzegartahamtan, Mohammad Reza Ay, Seied Rabi Mahdavi. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study, Biomedical Physics & Engineering Express. 2024; 10: 015017.
https://doi.org/10.1088/2057-1976/ad0f3e |
| 5 |
2024 |
Heying Xie, Yin Jia, Shanrong Liu. Integration of artificial intelligence in clinical laboratory medicine: Advancements and challenges, Interdisciplinary Medicine. 2024; 2: e20230056.
https://doi.org/10.1002/INMD.20230056 |
| 6 |
2024 |
Ying Zhu, Yaru Wei, Zhongwei Chen, Xiang Li, Shiwei Zhang, Caiyun Wen, Guoquan Cao, Jiejie Zhou, Meihao Wang. Different radiomics annotation methods comparison in rectal cancer characterisation and prognosis prediction: a two-centre study, Insights into Imaging. 2024; 15: 211.
https://doi.org/10.1186/s13244-024-01795-5 |
