Rupali Mankar
Affiliations: | Electrical and Computer Engineering | University of Houston, Houston, TX, United States |
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| Gajjela CC, Brun M, Mankar R, et al. (2023) Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer. The Analyst |
| Mankar R, Gajjela CC, Bueso-Ramos CE, et al. (2022) Polarization Sensitive Photothermal Mid-Infrared Spectroscopic Imaging of Human Bone Marrow Tissue. Applied Spectroscopy. 76: 508-518 |
| Mankar R, Gajjela CC, Shahraki FF, et al. (2021) Multi-modal image sharpening in fourier transform infrared (FTIR) microscopy. The Analyst |
| Mankar R, Bueso-Ramos CE, Yin CC, et al. (2019) Automated osteosclerosis grading of clinical biopsies using infrared spectroscopic imaging. Analytical Chemistry |
| Ran S, Berisha S, Mankar R, et al. (2018) Mitigating fringing in discrete frequency infrared imaging using time-delayed integration. Biomedical Optics Express. 9: 832-843 |
| Mankar R, Walsh MJ, Bhargava R, et al. (2018) Selecting optimal features from Fourier transform infrared spectroscopy for discrete-frequency imaging. The Analyst |
| Berisha S, Chang S, Saki S, et al. (2016) SIproc: an open-source biomedical data processing platform for large hyperspectral images. The Analyst |
| Mankar R, Verma V, Walsh M, et al. (2016) Imaging and Feature Selection Using GA-FDA Algorithm for the Classification of Mid-Infrared Biomedical Images Microscopy and Microanalysis. 22: 1008-1009 |