Deep Imaging Analytics Lab (DIAL)
The Deep Imaging Analytics Lab (DIAL) is affiliated with the Department of Biomedical Engineering at Rensselaer Polytechnic Institute.
United States of America
Pinned Repositories
BI-Mamba
Source code of BI-Mamba for cardiovascular disease detection from two-view chest X-rays
ChatGPT_BioMedImageAnalysis
Using ChatGPT to help write code for image analysis
CheXFound
This repository contains source code to train and evaluate the vision-centric foundation model CheXFound.
DiRecT
MICCAI'24 - DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment
Disease-informed-VLM-Adaptation
MICCAI 2024 - Disease-informed Adaptation of Vision-Language Models
Facial_Simulation
Correspondence attention for facial appearance simulation
GrImNet
ISBI 2025 - Cephalometric Landmark Detection using Graph- and Image-aware Network with Landmark Contrastive Regularization
Quest2Dx
SAMix
MICCAI 2023 - Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
shape-loss
Code for "Shape Descriptor-based Losses for Medical Image Segmentation"
Deep Imaging Analytics Lab (DIAL)'s Repositories
RPIDIAL/BI-Mamba
Source code of BI-Mamba for cardiovascular disease detection from two-view chest X-rays
RPIDIAL/SAMix
MICCAI 2023 - Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
RPIDIAL/Disease-informed-VLM-Adaptation
MICCAI 2024 - Disease-informed Adaptation of Vision-Language Models
RPIDIAL/Facial_Simulation
Correspondence attention for facial appearance simulation
RPIDIAL/CheXFound
This repository contains source code to train and evaluate the vision-centric foundation model CheXFound.
RPIDIAL/DiRecT
MICCAI'24 - DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment
RPIDIAL/GrImNet
ISBI 2025 - Cephalometric Landmark Detection using Graph- and Image-aware Network with Landmark Contrastive Regularization
RPIDIAL/Quest2Dx
RPIDIAL/ChatGPT_BioMedImageAnalysis
Using ChatGPT to help write code for image analysis
RPIDIAL/shape-loss
Code for "Shape Descriptor-based Losses for Medical Image Segmentation"