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ORCIDArtificial Intelligence in Medicine, Volume 124
Volume 124, February 2022
- Thomas P. Quinn, Stephan Jacobs
, Manisha Senadeera, Vuong Le, Simon Coghlan:
The three ghosts of medical AI: Can the black-box present deliver? 102158 - Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu:
RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation. 102231 - Zhi Liu, Changyong Luo, Dianzheng Fu, Jun Gui, Zeyu Zheng, Liang Qi, Haojian Guo:
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge. 102232 - Wenjun Kou, Dustin A. Carlson, Alexandra J. Baumann, Erica N. Donnan, Jacob M. Schauer, Mozziyar Etemadi, John E. Pandolfino:
A multi-stage machine learning model for diagnosis of esophageal manometry. 102233 - Jinpeng Li, Yaling Tao, Huaiwei Cong, Enwei Zhu, Ting Cai:
Predicting liver cancers using skewed epidemiological data. 102234 - Lingxiao Meng, Wenjun Tan, Jiangang Ma, Ruofei Wang, Xiaoxia Yin, Yanchun Zhang:
Enhancing dynamic ECG heartbeat classification with lightweight transformer model. 102236 - Hao Gong, Jianhua Liu, Bo Chen, Shuo Li:
ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning. 102243
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