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ORCIDDaniel S. Hippe
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2020 – today
- 2023
[j5]Phawis Thammasorn
, Wanpracha Art Chaovalitwongse, Daniel S. Hippe, Landon Wootton, Eric Ford, Matthew Spraker, Stephanie E. Combs, Jan C. Peeken, Matthew Nyflot:
Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data. IEEE Trans. Neural Networks Learn. Syst. 34(2): 586-600 (2023)- 2022
- [j4]Phawis Thammasorn, Stephanie K. Schaub, Daniel S. Hippe, Matthew Spraker, Jan C. Peeken, Landon Wootton, Paul E. Kinahan, Stephanie E. Combs, Wanpracha Art Chaovalitwongse, Matthew Nyflot:
Regularizing the Deepsurv Network Using Projection Loss for Medical Risk Assessment. IEEE Access 10: 8005-8020 (2022) - 2021
- [j3]Neva M. Corrigan, Vasily L. Yarnykh, Daniel S. Hippe, Julia P. Owen, Elizabeth Huber, T. Christina Zhao, Patricia K. Kuhl:
Myelin development in cerebral gray and white matter during adolescence and late childhood. NeuroImage 227: 117678 (2021) - 2020
- [j2]Li Chen, Jie Sun, Gador Canton, Niranjan Balu, Daniel S. Hippe, Xihai Zhao, Rui Li, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan:
Automated Artery Localization and Vessel Wall Segmentation Using Tracklet Refinement and Polar Conversion. IEEE Access 8: 217603-217614 (2020)
2010 – 2019
- 2019
- [i1]Phawis Thammasorn, Daniel S. Hippe, Wanpracha Art Chaovalitwongse, Matthew Spraker, Landon Wootton, Matthew Nyflot, Stephanie Combs, Jan Peeken, Eric Ford:
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification. CoRR abs/1911.07940 (2019) - 2013
- [j1]Tracy J. Robinson, Jeffrey D. Robinson, Daniel S. Hippe, Lee M. Mitsumori:
Challenges to Protocol Optimization Due to Unexpected Variation of CT Contrast Dose Amount and Flow. J. Digit. Imaging 26(3): 402-405 (2013)
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