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Eric Ford
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Books and Theses
- 2014
- [b1]Eric Ford:
Phylogenetic Trees and Their Analysis. City University of New York, USA, 2014
Journal Articles
- 2023
- [j2]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) - 2013
- [j1]Kevaughn Gordon, Eric Ford, Katherine St. John:
Hamiltonian Walks of Phylogenetic Treespaces. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 1076-1079 (2013)
Conference and Workshop Papers
- 2017
- [c7]Eric Ford, Hadi Kharrazi:
Forecasting the Maturation of EHR Functions among US Hospitals. AMIA 2017 - [c6]Phawis Thammasorn, Landon Wootton, Eric Ford, Matthew Nyflot:
Deep convolutional Triplet network for quantitative medical image analysis with comparative case study of gamma image classification. BIBM 2017: 1119-1122 - 2010
- [c5]Mohammad Matinfar, Santosh Iyer, Eric Ford, John Wong, Peter Kazanzides:
Treatment planning and delivery of shell dose distribution for precision irradiation. Medical Imaging: Image-Guided Procedures 2010: 76252A - 2009
- [c4]Mohammad Matinfar, Santosh Iyer, Eric Ford, John Wong, Peter Kazanzides:
Image Guided Complex Dose Delivery for Small Animal Radiotherapy. ISBI 2009: 1243-1246 - 2008
- [c3]Mohammad Matinfar, Iulian Iordachita, Eric Ford, John Wong, Peter Kazanzides:
Calibration of the treatment beam of the Small Animal Radiation Research Platform. CASE 2008: 609-614 - [c2]Mohammad Matinfar, Iulian Iordachita, Eric Ford, John Wong, Peter Kazanzides:
Precision Radiotherapy for Small Animal Research. MICCAI (2) 2008: 619-626 - 2007
- [c1]Mohammad Matinfar, Owen Gray, Iulian Iordachita, Christopher W. Kennedy, Eric Ford, John Wong, Russell H. Taylor, Peter Kazanzides:
Small Animal Radiation Research Platform: Imaging, Mechanics, Control and Calibration. MICCAI (2) 2007: 926-934
Informal and Other Publications
- 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)
Coauthor Index
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