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Publication search results
found 16 matches
- 2021
- Mateusz Bas, Krzysztof Król, Dominik Spinczyk:
Target registration error reduction for percutaneous abdominal intervention. Comput. Medical Imaging Graph. 87: 101839 (2021) - Buxin Chen, Zheng Zhang, Dan Xia, Emil Y. Sidky, Xiaochuan Pan:
Non-convex primal-dual algorithm for image reconstruction in spectral CT. Comput. Medical Imaging Graph. 87: 101821 (2021) - Hua-Yu Chou, Sheng-Lung Huang, Jeng-Wei Tjiu, Homer H. Chen:
Dermal epidermal junction detection for full-field optical coherence tomography data of human skin by deep learning. Comput. Medical Imaging Graph. 87: 101833 (2021) - Fantin Girard, Thomas Hurtut, Conrad Kavalec, Farida Cheriet:
Atlas-based score for automatic glaucoma risk stratification. Comput. Medical Imaging Graph. 87: 101797 (2021) - Zhihui Guo, Honghai Zhang, Zhi Chen, Ellen van der Plas, Laurie Gutmann, Daniel Thedens, Peggy Nopoulos, Milan Sonka:
Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network. Comput. Medical Imaging Graph. 87: 101835 (2021) - Rajesh Kumar, Wenyong Wang, Jay Kumar, Ting Yang, Abdullah Aman Khan, Wazir Ali, Ikram Ali:
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals. Comput. Medical Imaging Graph. 87: 101812 (2021) - Shima Nofallah, Sachin Mehta, Ezgi Mercan, Stevan Knezevich, Caitlin J. May, Donald L. Weaver, Daniela M. Witten, Joann G. Elmore, Linda G. Shapiro:
Machine learning techniques for mitoses classification. Comput. Medical Imaging Graph. 87: 101832 (2021) - Bala Prabhakar, Rishi Kumar Singh, Khushwant S. Yadav:
Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device. Comput. Medical Imaging Graph. 87: 101818 (2021) - Sami Ur Rahman, Bakht Azam, Sana Ullah Khan, Muhammad Awais, Ishtiaq Ali, Raja Jalees ul Hussen Khan:
Automatic identification of abnormal blood smear images using color and morphology variation of RBCS and central pallor. Comput. Medical Imaging Graph. 87: 101813 (2021) - Baudouin Denis de Senneville, Pierrick Coupé, Mario Ries, Laurent Facq, Chrit T. W. Moonen:
Deep correction of breathing-related artifacts in real-time MR-thermometry. Comput. Medical Imaging Graph. 87: 101834 (2021) - Wei-Chung Shia, Dar-Ren Chen:
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine. Comput. Medical Imaging Graph. 87: 101829 (2021) - Xiaodan Sui, Yuanjie Zheng, Yanyun Jiang, Wanzhen Jiao, Yanhui Ding:
Deep multispectral image registration network. Comput. Medical Imaging Graph. 87: 101815 (2021) - Jiaxing Tan, Longlong Jing, Yumei Huo, Lihong Li, Oguz Akin, Yingli Tian:
LGAN: Lung segmentation in CT scans using generative adversarial network. Comput. Medical Imaging Graph. 87: 101817 (2021) - Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee:
An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification. Comput. Medical Imaging Graph. 87: 101838 (2021) - Chenhui Xiao, Zhenzhou Li, Jianfeng Lu, Jinyan Wang, Haoteng Zheng, Zuyue Bi, Mengyang Chen, Rui Mao, Minhua Lu:
A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls. Comput. Medical Imaging Graph. 87: 101819 (2021) - (Withdrawn) An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images. Comput. Medical Imaging Graph. 87: 101810 (2021)
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