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ORCIDComputerized Medical Imaging and Graphics, Volume 101
Volume 101, October 2022
- Chaoyi Wu, Feng Chang, Xiao Su, Zhihan Wu, Yanfeng Wang, Ling Zhu, Ya Zhang
:
Integrating features from lymph node stations for metastatic lymph node detection. 102108
- Huakun Yang, Qian Chen, Keren Fu, Lei Zhu, Lujia Jin, Bensheng Qiu, Qiushi Ren, Hongwei Du, Yanye Lu:
Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling. 102110
- Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher:
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy. 102112
- Xiuquan Du, Kunpeng Ma, Yuhui Song:
AGMR-Net: Attention-guided multiscale recovery framework for stroke segmentation. 102120
- Zohaib Amjad Khan, Azeddine Beghdadi, Mounir Kaaniche, Faouzi Alaya Cheikh, Osama Gharbi:
A neural network based framework for effective laparoscopic video quality assessment. 102121
- Gino Gulamhussene, Anneke Meyer, Marko Rak, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen:
Predicting 4D liver MRI for MR-guided interventions. 102122 - Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks. 102123
- Jiaqi Hu, Yongqin Xu, Zhixian Tang:
DAN-PD: Domain adaptive network with parallel decoder for polyp segmentation. 102124
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