Name: Ngoc-Thang Bui
Type: User
Company: Biomedical Engineering Department, Pukyong National University
Bio: I am a Ph.D. in biomedical engineering. My research interests include high-speed AD converter for ultrasound imaging system, biomedical signal analysis, HiFU.
Location: Busan, Korea
Blog: https://www.nbmlab.com/members
Ngoc-Thang Bui's Projects
A Review of Deep Learning Methods on ECG Data
I worked on a TinyML application powered by Edge Impulse to develop a mini-Diagnosis ECG analyzer device which can fit on a pocket and it can diagnose heart diseases independently without an Internet.
GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow
The fast Continuous Wavelet Transform (CWT) is a library for fast calculation of CWT.
TensorFlow implementation of GoogLeNet and Inception for image classification.
Analyzing PPG/ECG signals using HeartPy (Python Heart Rate Analysis Package)
Python Heart Rate Analysis Package, for both PPG and ECG signals
Here is a demo of HiFU control transducer circuit design with output power up to 100W
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.
An introduction to deepcell and deep learning
Reference implementations of popular deep learning models.
Keras implementations of Generative Adversarial Networks.
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
Keras documentation, hosted live at keras.io
A Keras implementation of YOLOv4 (Tensorflow backend)
Feature Pyramid Network with ResNext implemented in Keras
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Generate C code for microcontrollers from Python's sklearn classifiers
Models and examples built with TensorFlow
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing