Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
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Updated
Feb 16, 2024 - Python
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Toolkit for analyzing physiologic data collected via Biopac AcqKnowledge software.
Source code for multiple parameter modelling of synthetic electromyography data.
nanoDNA-nanoROBOT-simulation: Open-source Python project for modeling and simulating DNA-based nanorobot behavior. 🧬🤖
This Python script is designed to provide detailed information on interactions between drugs and genes using the Sydney module for natural language processing and the Drug Gene Interaction Database (DGIdb) API. Users can input the names of three drugs separated by commas and receive information on the interactions with the corresponding genes.
Biomedical Image Analysis with TensorFlow and DLTK
Walking abnormality detector is a gait analyzer which can be used to monitor pressure distribution of the foot.
This repository contains the scripts for the ML-Trauma project of the McDevitt Lab at NYU.
Draw periodogram of real EEG data
EEG spectrum mean of 84 records
This is a joint stress calculator for a lateral shoulder raise. It calculates specific stress values for both the deltoidal muscle group, as well as the glenohumeral joint.
This project aims to improve the accuracy of blood pressure measurements using video-based heart rate monitoring and a calculation algorithm. The system utilizes facial tracking to detect and analyze heart rate data, which is then used to estimate blood pressure.
Package for obtaining the referential signal from a set of unipolar iEEG data
Modified MobileNet-ShuffleNet-GhostNet Network for Lightweight Retinal Vessel Segmentation
Project that I did in university. After importing a DICOM format picture from hospital, program should find the contour of the bone and display it.
Repository for bachelor thesis on Automatic Multi-Modal Detection of Autonomic Arousals in Sleep. The thesis itself and all related data is confidential and thus not publicly available, but access to the thesis can be granted by sending a request to hello@nicklashansen.com.
This repo is focused on movement analysis workshops, mainly using computational vision and AI, repo is still a work in progress.
Algorithm and application for the wearable stress measurement system developed for the EBME 380 senior design project.
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