55 citations · 285 across the 36 of their papers we have counts for
10 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…
CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy
Shawn Mathew, Saad Nadeem, Arie Kaufman
Automated analysis of optical colonoscopy (OC) video frames (to assist endoscopists during OC) is challenging due to variations in color, lighting, texture, and specular reflection…
CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction
Wookjin Choi, Navdeep Dahiya, Saad Nadeem
Spiculations/lobulations, sharp/curved spikes on the surface of lung nodules, are good predictors of lung cancer malignancy and hence, are routinely assessed and reported by radiol…
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…
Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation
Navdeep Dahiya, Sadegh R Alam, Pengpeng Zhang +3
In current clinical practice, noisy and artifact-ridden weekly cone-beam computed tomography (CBCT) images are only used for patient setup during radiotherapy. Treatment planning i…
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…
Augmenting Colonoscopy using Extended and Directional CycleGAN for Lossy Image Translation
Shawn Mathew, Saad Nadeem, Sruti Kumari +1
Colorectal cancer screening modalities, such as optical colonoscopy (OC) and virtual colonoscopy (VC), are critical for diagnosing and ultimately removing polyps (precursors of col…