Anant Madabhushi

Prototype-based AI triage for 3D pathology

SCOPE improves AI triage in 3D pathology by using morphology-aware prototypes to identify high-risk 2D slices for pathologist review.

Detection of prostate cancer in 3D pathology datasets via generative immunolabeling

This paper develops a 3D computational pipeline called SIGHT to detect prostate cancer in pathology datasets using generative immunolabeling, achieving an F1 score comparable to pathologist agreement.

Quantitative 3D imaging of mouse and human intrahepatic bile ducts in homeostasis and liver injury

This paper develops a 3D imaging and analysis pipeline for intrahepatic bile ducts in mouse and human tissues, revealing structural changes in health and disease.

Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments

CARP3D uses deep learning to prioritize high-risk 2D sections in 3D pathology data, improving disease detection while reducing pathologist workload.

The chromatin landscape of healthy and injured cell types in the human kidney

The paper defines the chromatin landscape of healthy and injured kidney cells using multi-omics data, identifying regulatory elements and transcription factor networks involved in injury response.