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Automatic transfer function design for medical visualization using visibility distributions and projective color mapping.

L. Cai, W. Tay, B. Nguyen, C. Chui, and S. Ong. Comp. Med. Imag. and Graph., 37 (7-8): 450-458 (2013)

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A two-level clustering approach for multidimensional transfer function specification in volume visualization.L. Cai, B. Nguyen, C. Chui, and S. Ong. The Visual Computer, 33 (2): 163-177 (2017)TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks.L. Cai, A. Barneche, A. Herbout, C. Foo, J. Lin, V. Chandrasekhar, and M. Sabry. CoRR, (2018)Automatic transfer function design for medical visualization using visibility distributions and projective color mapping.L. Cai, W. Tay, B. Nguyen, C. Chui, and S. Ong. Comp. Med. Imag. and Graph., 37 (7-8): 450-458 (2013)MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors.L. Cai, B. Zhao, Z. Wang, J. Lin, C. Foo, M. Aly, and V. Chandrasekhar. CVPR, page 9356-9364. Computer Vision Foundation / IEEE, (2019)Rule-Enhanced Transfer Function Generation for Medical Volume Visualization.L. Cai, B. Nguyen, C. Chui, and S. Ong. Comput. Graph. Forum, 34 (3): 121-130 (2015)TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks.L. Cai, A. Barneche, A. Herbout, C. Foo, J. Lin, V. Chandrasekhar, and M. Aly. ISLPED, page 1-6. IEEE, (2019)

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Automatic transfer function design for medical visualization using visibility distributions and projective color mapping.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic transfer function design for medical visualization using visibility distributions and projective color mapping.

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Automatic transfer function design for medical visualization using visibility distributions and projective color mapping.