rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

Repository for "AI/MD in Medicine" club in clubhouse

MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement (ACM CHIL-2021)

[ICLR'25] Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

MediScan: AI-powered bone fracture detection system achieving 99.8% accuracy through deep learning. Features real-time X-ray analysis, transparent Grad-CAM visualizations, and clinical integration tools. Built with Python/FastAPI backend and responsive HTML/CSS frontend, making advanced medical diagnostics more accessible to healthcare providers.

FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing [NeurIPS 2024]

KG-assisted Medical Dialogue Generation

Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.

An innovative application designed to help pharmacists and pharmacy students quickly research FDA-approved drugs by retrieving relevant information from drug labels and adverse event datasets, and providing AI-generated summaries to streamline the learning process

SympCheck Helper is a modern healthcare consultation chatbot that leverages the power of DeepSeek V3 API and Supabase to provide intelligent health-related assistance. Built with cutting-edge technologies, it offers a seamless and intuitive experience for users seeking health information and support.

iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels [Electronics 2024]

SkinAI is an AI-powered web application designed to analyze skin conditions and provide immediate insights.

A new age EMR application using conversational AI at its best.

This project compares the performance of UNet, ResUNet, SegResNet, and UNETR architectures on the 2017 LiTS dataset for liver tumor segmentation. We evaluate segmentation accuracy using the DICE score to identify key factors for effective tumor segmentation.

An advanced ECG anomaly detection system using deep learning. This repository contains a CNN autoencoder trained on the PTBDB dataset to identify abnormal heart rhythms. It employs various loss functions for model optimization and provides comprehensive visualizations of the results.

NeuroCure is a cutting-edge project focused on the detection and classification of brain tumors, leveraging the power of deep learning for advanced medical image analysis. Developed using TensorFlow and a variety of custom models, this initiative aims to deliver accurate and efficient identification of brain tumors from MRI scans.

Analyzing clinical decision instruments through the lens of data and large language models.

AI-powered Clinical Decision Support System (CDSS) for chest X-ray analysis, detecting pneumonia (89.9% accuracy) using CNN on Kaggle's Chest X-ray Dataset. Full-stack app with Next.js, Django, TensorFlow. Features drag-and-drop uploads, vitals input, and diagnostic reports.