Area of research
Biophysics · Analytical Chemistry
Research interest
Research interests include Computer science, Artificial intelligence, Pathology, Histopathology, Optics, and Infrared.
Exploring Feature Selection with Deep Learning for Kidney Tissue Microarray Classification Using Infrared Spectral Imaging
Simultaneous Characterization of Implant Wear and Tribocorrosion Debris within its Corresponding Tissue Response Using Infrared Chemical Imaging
Standardization of complex biologically derived spectrochemical datasets
Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks
Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering
Selecting optimal features from Fourier transform infrared spectroscopy for discrete-frequency imaging
Infrared spectroscopic imaging: Label-free biochemical analysis of stroma and tissue fibrosis
Using Raman spectroscopy to characterize biological materials
A label-free approach by infrared spectroscopic imaging for interrogating the biochemistry of diabetic nephropathy progression
Infrared spectroscopic imaging detects chemical modifications in liver fibrosis due to diabetes and disease
Accounting for tissue heterogeneity in infrared spectroscopic imaging for accurate diagnosis of thyroid carcinoma subtypes
Stain-less staining for computed histopathology
Improving Prediction of Prostate Cancer Recurrence using Chemical Imaging
High-definition Fourier Transform Infrared (FT-IR) Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
Using Fourier transform IR spectroscopy to analyze biological materials
On the importance of image formation optics in the design of infrared spectroscopic imaging systems
Attenuated total reflectance Fourier-transform infrared spectroscopic imaging for breast histopathology