Dirk R. Padfield, Ph.D.
Affiliations: | 2009 | Rensselaer Polytechnic Institute, Troy, NY, United States |
Area:
Computer ScienceGoogle:
"Dirk Padfield"Parents
Sign in to add mentor| Badrinath Roysam | grad student | 2009 | RPI | |
| (Segmentation and tracking algorithms for monitoring cellular motion and function.) | ||||
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Publications
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| Padfield D, Bhotika R, Natanzon A. (2015) FIST: A fast interactive segmentation technique Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9413 |
| Padfield DR. (2015) A fast and memory efficient stationary wavelet transform for 3D cell segmentation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9413 |
| Cao K, Padfield D, Dentinger A, et al. (2015) Robust lumen segmentation in 3D contrast enhanced ultrasound images Proceedings - International Symposium On Biomedical Imaging. 2015: 659-662 |
| Liu S, Padfield D, Mendonca P. (2014) Tracking of carotid arteries in ultrasound images. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 526-33 |
| Al-Kofahi Y, Padfield D, Seppo A. (2013) An automated algorithm for cell-level FISH dot counting Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8669 |
| Padfield D. (2012) Masked Object Registration in the Fourier Domain Ieee Transactions On Image Processing. 21: 2706-2718 |
| Seppo A, Al-Kofahi Y, Padfield D, et al. (2012) Abstract P3-05-06: Automated analysis of Her2 FISH using combined Immunofluorescence and FISH signals Cancer Research. 72 |
| Tuysuzoglu A, Mendonca P, Padfield D. (2012) Model-based coupled De-noising and segmentation of medical images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8320 |
| Liu X, Annangi P, Gupta M, et al. (2012) Learning-based scan plane identification from fetal head ultrasound images Proceedings of Spie. 8320 |
| Padfield D, Rittscher J, Roysam B. (2011) Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis. Medical Image Analysis. 15: 650-68 |