Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Ontology for consent codes and data use requirements

Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels

ICMR Sponsored Seminar On Deep Learning Techniques and Tools for Medical Applications

Semantic Web Services Integration for Biomedical Applications

Large-scale performance evaluation of knowledge graphs embeddings in the biomedical domain

An Advanced Telemedicine Application built with Django and React/Typescript

My undergraduate honours project on paper-based microfluidics for animal disease detection

Data Acquisition and Signal Processing in Biomedical Applications

Malaria Detection from Cell Images using Deep Learning - NasNetMobile Model

This repository contains all the algorithms studied in discipline "Calculo Numerico" of Biomedical Engineering course at UNIFESP in the second semester of 2018.

An application for home store medicines management

A cost-sensitive BERT that handles the class imbalance for the task of biomedical NER.

The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.

Biomedical Applications of Time Series Analysis

Detecting of COVID-19 induced Pneumonia in Chest X-ray Images using using Modified XceptionNet

BME499 course materials

CVXSADes: Construct exact regression designs using CVX in conjunction with simulated annealing

The proposed antenna sensor detects glucose concentration by measuring the dielectric constant of blood through the placement of a thumb on the dielectric resonator.

An iOS app for conducting research involving human motion. Currently under development.

🩸 Detect malaria-infected red blood cells using a CNN trained on microscope images with 95% accuracy from NIH dataset.

A comprehensive collection of my programming projects, research work, and technical experiments. This repository showcases my experience in data science, image processing, 2D/3D visualization, and GUI application development. Projects are organized by domain and technology stack for easy navigation.

Multiplenar view desktop app for DICOM scans. Project was made during biomedical engineering studies at Warsaw University of Technology.

🔍 Enhance your knowledge base with a local RAG system that leverages hybrid search for precise information retrieval and optimal results.