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)

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.

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

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

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

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

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

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

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.

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.

Welcome to Healthcare Thoughts! This is where I share my insights at the intersection of healthcare and technology. Explore articles on federated learning, blockchain, AI in medicine, health data privacy, and telemedicine. Let's engage in meaningful conversations about the exciting world of healthcare tech!

This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.

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.

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Clinical Reasoning Platform Base Repository