jason smith

Publications

• Identifying metastatic ability of prostate cancer cell lines using native fluorescence spectroscopy and machine learning methods
• A Preliminary Study of Quantitative Ultrasound for Cancer-Risk Assessment of Thyroid Nodules
• Deep Learning in Biomedical Optics
• Characterization and discrimination of human breast cancer and normal breast tissues using resonance Raman spectroscopy
• A rapid method based on fluorescence spectroscopy for meat spoilage detection
• Optical biopsy for prostate cancer diagnosis using fluorescence spectroscopy
• Macroscopic fluorescence lifetime topography enhanced via spatial frequency domain imaging
• Fast fit-free analysis of fluorescence lifetime imaging via deep learning
• Hyperspectral lifetime unmixing via deep learning
• Machine learning based analysis of human prostate cancer cell lines at different metastatic ability using native fluorescence spectroscopy with selective excitation wavelength
• Quantification of anti-HER2 drug uptake into human breast cancer cells using fluorescence lifetime FRET imaging
• Distinguishing metastatic triple-negative breast cancer from nonmetastatic breast cancer using second harmonic generation imaging and resonance Raman spectroscopy
• Rapid measurement of meat spoilage using fluorescence spectroscopy
• Optical biopsy using fluorescence spectroscopy for prostate cancer diagnosis
• Real-time, wide-field and high-quality single snapshot imaging of optical properties with profile correction using deep learning
• Optical Biopsy for Prostate Cancer Diagnosis Using Fluorescence Spectroscopy
• A Rapid Method Based on Fluorescence Spectroscopy for Meat Spoilage Detection
• Quantification of Trastuzumab–HER2 Engagement In Vitro and In Vivo
• UNMIX-ME: Spectral and lifetime fluorescence unmixing via deep learning
• Fluorescent lifetime imaging improved via deep learning
• Characterization and discrimination of basal cell carcinoma and normal human skin tissues using resonance Raman spectroscopy
• 3D k-space reflectance fluorescence tomography via deep learning
• MON-571 The Performance Of An Advanced Ultrasound Technique, Quantitative Ultrasound, Compared To Conventional Ultrasound In The Evaluation Of Thyroid Nodules
• Quantitative Ultrasound- Based Detection of Cancerous Thyroid Nodules
• In vitro and in vivo NIR fluorescence lifetime imaging with a time-gated SPAD camera
• Design and characterization of a time-domain optical tomography platform for mesoscopic lifetime imaging
• In vitro and in vivo NIR Fluorescence Lifetime Imaging with a time-gated SPAD camera
• in vivoquantitative FRET small animal imaging: intensity versus lifetime-based FRET
• Deep learning-based fusion of widefield diffuse optical tomography and micro-CT structural priors for accurate 3D reconstructions
• in vivo quantitative FRET small animal imaging: intensity versus lifetime-based FRET
• In vivo quantitative FRET small animal imaging: Intensity versus lifetime-based FRET
• Assessing cell viability with dynamic optical coherence microscopy
• Fluorescence Lifetime Imaging for Quantification of Targeted Drug Delivery in Varying Tumor Microenvironments