An Attention-Driven Hybrid Network for Survival Analysis of Tumorigenesis Patients Using Whole Slide Images

Learning of Disease Specific Knowledge Graph from Unstructured Medical Health Records & Radiology Reports

Attention-aware Feature Fusion based Nuclei Instance Segmentation and Type Classification Using Histology Images

AI-Powered Cephalometric Landmark Detection for Orthodontic Diagnosis: Framework, Dataset, and Detection Challenge

Learning Irritable Bowel Syndrome (IBS) Endo-phenotypes from Multidimensional Clinical Data using Machine Learning

Tapping the Power of Clinical Data to Identify Multidimensional Irritable Bowel Syndrome (IBS) Endo-Phenotype

Extracting Cancer Phenotypes from Electronic Health Records – Tapping the power of unstructured data

Detection & segmentation of anatomical structures in retinal images

Digital biomarker for cancer prognosis

Cellular community detection for tissue phenotyping in digital histology images

Segmentation of micro-vessels and nerves in digital histology images

Diagnostic Retinal Image Analysis

Computational Pathology for improved cancer management and better human sustainability