29 citations · 33 across the 3 of their papers we have counts for
4 papers
Rapid hyperspectral photothermal mid-infrared spectroscopic imaging from sparse data for gynecologic cancer tissue subtyping
Reza Reihanisaransari, Chalapathi Charan Gajjela, Xinyu Wu +8
Ovarian cancer detection has traditionally relied on a multi-step process that includes biopsy, tissue staining, and morphological analysis by experienced pathologists. While widel…
Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer
Chalapathi Charan Gajjela, Matthew Brun, Rupali Mankar +8
Mid-infrared spectroscopic imaging (MIRSI) is an emerging class of label-free techniques being leveraged for digital histopathology. Modern histopathologic identification of ovaria…
Adaptive Compressive Sampling for Mid-infrared Spectroscopic Imaging
Mahsa Lotfollahi, Nguyen Tran, Sebastian Berisha +4
Minfrared spectroscopic imaging (MIRSI) is an emerging class of label-free, biochemically quantitative technologies targeting digital histopathology. Conventional histopathology re…
Three-Dimensional GPU-Accelerated Active Contours for Automated Localization of Cells in Large Images
Mahsa Lotfollahi, Sebastian Berisha, Leila Saadatifard +3
Cell segmentation in microscopy is a challenging problem, since cells are often asymmetric and densely packed. This becomes particularly challenging for extremely large images, sin…