Vikas C. Raykar, Ph.D.

Affiliations: 
2007 Computer Science University of Maryland, College Park, College Park, MD 
Area:
Computer Vision,Numerical Analysis
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Ramani Duraiswami grad student 2007 University of Maryland
 (Scalable machine learning for massive datasets: Fast summation algorithms.)
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Publications

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Mang T, Bogoni L, Anand VX, et al. (2014) CT colonography: effect of computer-aided detection of colonic polyps as a second and concurrent reader for general radiologists with moderate experience in CT colonography. European Radiology. 24: 1466-76
Agrawal P, Raykar VC, Saha A. (2014) AUC dominant unsupervised ensemble of binary classifiers Siam International Conference On Data Mining 2014, Sdm 2014. 1: 271-279
Raykar VC, Agrawal P. (2014) Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process Journal of Machine Learning Research. 33: 832-840
Sarath CAP, Lauly S, Larochelle H, et al. (2014) An autoencoder approach to learning bilingual word representations Advances in Neural Information Processing Systems. 3: 1853-1861
Petrick N, Sahiner B, Armato SG, et al. (2013) Evaluation of computer-aided detection and diagnosis systems. Medical Physics. 40: 087001
Mang T, Hermosillo G, Wolf M, et al. (2012) Time-efficient CT colonography interpretation using an advanced image-gallery-based, computer-aided "first-reader" workflow for the detection of colorectal adenomas. European Radiology. 22: 2768-79
Mang T, Bogoni L, Salganicoff M, et al. (2012) Computer-aided detection of colorectal polyps in CT colonography with and without fecal tagging: a stand-alone evaluation. Investigative Radiology. 47: 99-108
Hermosillo G, Raykar VC, Zhou X. (2012) Learning to locate cortical bone in MRI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7588: 168-175
Raykar VC, Yu S. (2012) Eliminating spammers and ranking annotators for crowdsourced labeling tasks Journal of Machine Learning Research. 13: 491-518
Liu M, Lu L, Bi J, et al. (2011) Robust large scale prone-supine polyp matching using local features: a metric learning approach. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 14: 75-82
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