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ORCIDComputerized Medical Imaging and Graphics, Volume 94
Volume 94, December 2021
- Da Ma, Donghuan Lu, Shuo Chen, Morgan Heisler, Setareh Dabiri, Sieun Lee, Hyunwoo Lee
, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg:
LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images. 101988
- Ken Chen, Wenjian Qin, Yaoqin Xie, Shoujun Zhou:
Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures. 101989
- Ruotong Li, Yangyang Shi, Weixin Si, Li Huang, Bowen Zhuang, Michael Weinmann, Reinhard Klein, Pheng-Ann Heng:
Versatile multi-constrained planning for thermal ablation of large liver tumors. 101993 - Tingting Jia, Zeike A. Taylor, Xiaojun Chen:
Long term and robust 6DoF motion tracking for highly dynamic stereo endoscopy videos. 101995
- Kelvin K. Wong, Jonathon S. Cummock, Yunjie He, Rahul Ghosh, John Volpi, Stephen T. C. Wong:
Retrospective study of deep learning to reduce noise in non-contrast head CT images. 101996
- Vineeta Das, Samarendra Dandapat, Prabin Kumar Bora:
A diagnostic information based framework for super-resolution and quality assessment of retinal OCT images. 101997
- Simon M. Thomas, James G. Lefevre, Glenn W. Baxter, Nicholas A. Hamilton:
Characterization of tissue types in basal cell carcinoma images via generative modeling and concept vectors. 101998 - Rodrigo de P. Mendes, Xin Yuan, Elizabeth M. Genega, Xiaoyin Xu, Luciano da F. Costa, Cesar H. Comin:
Gland context networks: A novel approach for improving prostate cancer identification. 101999
- Ranyang Li, Junjun Pan, Yongming Yang, Nan Wei, Bin Yan, Hao Liu, Yunsheng Yang, Hong Qin:
Accurate and robust feature description and dense point-wise matching based on feature fusion for endoscopic images. 102007
- Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee:
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. 102008 - Sheng Li, Guizhi Zhang, Youbing Yin, Qiuxia Xie, Xinyu Guo, Kunlin Cao, Qi Song, Jian Guan, Xuhui Zhou:
One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed. 102009
- Mahsa Amirrashedi, Saeed Sarkar, Hojjat Mamizadeh, Hossein Ghadiri, Pardis Ghafarian, Habib Zaidi, Mohammad Reza Ay:
Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging. 102010
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