activity
20162026
most citedSpherical Parameterization Balancing Angle and Area Distortions

55 citations · 285 across the 36 of their papers we have counts for

collaborators

37 papers

cs.IT2026

Voronoi-Markov chain and spatial entropy for point pattern analysis

James C. Mathews, Francisco Couzo, Aleksandr Petrov +2

In this paper, we revisit the concept of entropy in the spatial context with the aim of deriving computable and interpretable metrics for point pattern analysis in domains such as…

cs.CV2026

ImPartial: Multi-channel Whole-Cell Segmentation using Partial Annotations

Gunjan Shrivastava, Saad Nadeem

Accurate cell segmentation in pathology images typically requires dense pixel-wise annotations, which are costly and time-consuming to obtain. This challenge is especially importan…

eess.IV2024★ 1 cited

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…

cs.CV2023

RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches

Shawn Mathew, Saad Nadeem, Alvin C. Goh +1

Fourteen million colonoscopies are performed annually just in the U.S. However, the videos from these colonoscopies are not saved due to storage constraints (each video from a high…

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…

cs.CV2023★ 4 cited

RMSim: Controlled Respiratory Motion Simulation on Static Patient Scans

Donghoon Lee, Ellen Yorke, Masoud Zarepisheh +2

This work aims to generate realistic anatomical deformations from static patient scans. Specifically, we present a method to generate these deformations/augmentations via deep lear…