• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 12 matches

• 2021
• 
  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. Comput. Medical Imaging Graph. 94: 102010 (2021)
• 
  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. Comput. Medical Imaging Graph. 94: 101989 (2021)
• 
  Vineeta Das, Samarendra Dandapat, Prabin Kumar Bora:
  A diagnostic information based framework for super-resolution and quality assessment of retinal OCT images. Comput. Medical Imaging Graph. 94: 101997 (2021)
• 
  Tingting Jia, Zeike A. Taylor, Xiaojun Chen:
  Long term and robust 6DoF motion tracking for highly dynamic stereo endoscopy videos. Comput. Medical Imaging Graph. 94: 101995 (2021)
• 
  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. Comput. Medical Imaging Graph. 94: 102007 (2021)
• 
  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. Comput. Medical Imaging Graph. 94: 101993 (2021)
• 
  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. Comput. Medical Imaging Graph. 94: 102009 (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. Comput. Medical Imaging Graph. 94: 101988 (2021)
• 
  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. Comput. Medical Imaging Graph. 94: 102008 (2021)
• 
  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. Comput. Medical Imaging Graph. 94: 101999 (2021)
• 
  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. Comput. Medical Imaging Graph. 94: 101998 (2021)
• 
  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. Comput. Medical Imaging Graph. 94: 101996 (2021)