Randal Barbour, PhD
Affiliations: | SUNY Downstate, Lewiston, NY, United States |
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Publications
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| Piao D, Barbour RL, Graber HL, et al. (2015) On the geometry dependence of differential pathlength factor for near-infrared spectroscopy. I. Steady-state with homogeneous medium. Journal of Biomedical Optics. 20: 105005 |
| Graber HL, Al abdi R, Xu Y, et al. (2015) Enhanced resting-state dynamics of the hemoglobin signal as a novel biomarker for detection of breast cancer Medical Physics. 42: 6406-6424 |
| Piao D, Barbour RL, Graber HL, et al. (2015) How does the differential pathlength factor for steady-state near-infrared spectroscopy of homogeneous medium vary with geometry? Bio-Optics: Design and Application, Boda 2015 |
| Piao D, Barbour RL, Graber HL, et al. (2015) How does the differential pathlength factor for steady-state near-infrared spectroscopy of homogeneous medium vary with geometry? Bio-Optics: Design and Application, Boda 2015 |
| Piao D, Barbour RL, Graber HL, et al. (2015) How does the differential pathlength factor for steady-state near-infrared spectroscopy of homogeneous medium vary with geometry? Bio-Optics: Design and Application, Boda 2015 |
| Lee DC, Gevorgyan T, Graber HL, et al. (2014) Feasibility of near-infrared spectroscopic tomography for intraoperative functional cerebral monitoring: a primate study. The Journal of Thoracic and Cardiovascular Surgery. 148: 3204-10.e1-2 |
| Selesnick IW, Graber HL, Ding Y, et al. (2014) Transient artifact reduction algorithm (TARA) based on sparse optimization Ieee Transactions On Signal Processing. 62: 6596-6611 |
| Selesnick IW, Graber HL, Pfeil DS, et al. (2014) Simultaneous low-pass filtering and total variation denoising Ieee Transactions On Signal Processing. 62: 1109-1124 |
| Sui X, Yin L, Selesnick IW, et al. (2014) Additive step artifact correction (ASAC) algorithm 2014 Ieee Signal Processing in Medicine and Biology Symposium, Ieee Spmb 2014 - Proceedings |
| Uglialoro AD, Pfeil DS, Gevorgyan T, et al. (2014) Cerebral monitoring and surveillance using high-resolution functional optical imaging Neuromethods. 88: 307-330 |