11 citations · 18 across the 8 of their papers we have counts for
6 papers · 1 filter
Rethinking Histology Slide Digitization Workflows for Low-Resource Settings
Talat Zehra, Joseph Marino, Wendy Wang +2
Histology slide digitization is becoming essential for telepathology (remote consultation), knowledge sharing (education), and using the state-of-the-art artificial intelligence al…
An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment
Parmida Ghahremani, Joseph Marino, Juan Hernandez-Prera +4
We introduce a new AI-ready computational pathology dataset containing restained and co-registered digitized images from eight head-and-neck squamous cell carcinoma patients. Speci…
FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos
Shawn Mathew, Saad Nadeem, Arie Kaufman
Haustral folds are colon wall protrusions implicated for high polyp miss rate during optical colonoscopy procedures. If segmented accurately, haustral folds can allow for better es…
Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations
Shawn Mathew, Saad Nadeem, Arie Kaufman
Optical colonoscopy (OC), the most prevalent colon cancer screening tool, has a high miss rate due to a number of factors, including the geometry of the colon (haustral fold and sh…
Multimarginal Wasserstein Barycenter for Stain Normalization and Augmentation
Saad Nadeem, Travis Hollmann, Allen Tannenbaum
Variations in hematoxylin and eosin (H&E) stained images (due to clinical lab protocols, scanners, etc) directly impact the quality and accuracy of clinical diagnosis, and hence it…
Generalizable Cone Beam CT Esophagus Segmentation Using Physics-Based Data Augmentation
Sadegh R Alam, Tianfang Li, Pengpeng Zhang +2
Automated segmentation of esophagus is critical in image guided/adaptive radiotherapy of lung cancer to minimize radiation-induced toxicities such as acute esophagitis. We develope…