1. 王耀南 中国 湖南大学 中国工程院院士 Deep learning in mesoscale brain image analysis: A review
2. Elazer R. Edelman 美国 Massachusetts Institute of Technology 2006美国医学院院士;2012美国工程院院士 Framework for lumen-based nonrigid tomographic coregistration of intravascular images
3. Elazer R. Edelman 美国 Massachusetts Institute of Technology 2006美国医学院院士;2012美国工程院院士 Detailed Investigation of Lumen-Based Tomographic Co-Registration
4. Erik,Meijering 澳大利亚 University of New South Wales Deep learning in mesoscale brain image analysis: A review
5. Yamamoto, Hirofumi 日本 Osaka University A quantitative evaluation method utilizing the homology concept to assess the state of chromatin wit..
6. Schadendorf, Dirk 德国 Universitätsklinikum Essen Deep learning in computational dermatopathology of melanoma: A technical literature review
7. 王建新 中国 中南大学 Exploring Contextual Relationships for Cervical Abnormal Cell Detection
8. Nicolas,Wentzensen 美国 NIH National Cancer Institute (NCI) CNN stability training improves robustness to scanner and IHC-based image variability for epithelium..
9. Dimitrios I,Fotiadis 希腊 University of Ioannina OCT sequence registration before and after percutaneous coronary intervention[stent implantation]
10. Ajith,Abraham 美国 Machine Intelligence Research Laboratory An Improved Boykov's Graph Cut-Based Segmentation Technique for the Efficient Detection of Cervical ..
11. Xuefei,Huang 美国 Michigan State University Super-resolution and segmentation deep learning for breast cancer histopathology image analysis
12. Zhongming,Zhao 美国 University of Texas Health Science Center at Houston Multi-class nucleus detection and classification using deep convolutional neural network with enhanc..
13. U. Rajendra,Acharya 新加坡 Ngee Ann Polytechnic Multi-class nucleus detection and classification using deep convolutional neural network with enhanc..
14. Arndt,Hartmann 德国 University of Erlangen-Nuremberg Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification
15. 张道强 中国 南京航空航天大学 Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications
16. Cheng, Liang 美国 Indiana University Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications
17. Sushmita,Mitra 印度 INDIAN Statistics Institute Deep learning in histopathology: A review
18. Bloch, Isabelle 法国 Sorbonne Universite Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and ..
19. M. Emre,Celebi 美国 Louisiana State University Skin Melanoma Detection in Microscopic Images Using HMM-Based Asymmetric Analysis and Expectation Ma..
20. Dimitrios I,Fotiadis 希腊 University of Ioannina IVUS Longitudinal and Axial Registration for Atherosclerosis Progression Evaluation