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20182026
most citedDeformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy

11 citations · 18 across the 8 of their papers we have counts for

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6 papers · 1 filter

eess.IV2024

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…

eess.IV2023

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…

eess.IV2021

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…

eess.IV2021

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…

eess.IV2020

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…

eess.IV2020

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…