A Generative Adversarial Approach To ECG Synthesis And Denoising

1 code implementation • 6 Sep 2020 • Karol Antczak

Generative Adversarial Networks (GAN) are known to produce synthetic data that are difficult to discern from real ones by humans.

Denoising Transfer Learning

Representation Learning for Medical Data

1 code implementation • 22 Jan 2020 • Karol Antczak

We propose a representation learning framework for medical diagnosis domain.

Disease Prediction General Classification +2

On Regularization Properties of Artificial Datasets for Deep Learning

no code implementations • 19 Aug 2019 • Karol Antczak

The paper discusses regularization properties of artificial data for deep learning.

Deep Recurrent Neural Networks for ECG Signal Denoising

1 code implementation • 30 Jul 2018 • Karol Antczak

We utilize a transfer learning technique by pretraining the network using synthetic data, generated by a dynamic ECG model, and fine-tuning it with a real data.

Denoising Transfer Learning