Tomasz Grzywalski

According to our database, Tomasz Grzywalski authored at least 11 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Using Frequency Correction of Stethoscope Recordings to Improve Classification of Respiratory Sounds.

Adam Biniakowski, Krzysztof Szarzynski, Tomasz Grzywalski

Proceedings of the Latest Developments and Challenges in Biomedical Engineering, 2023

2022

Speech Enhancement by Multiple Propagation through the Same Neural Network.

Tomasz Grzywalski, Szymon Drgas

Sensors, 2022

Speech enhancement using U-nets with wide-context units.

Tomasz Grzywalski, Szymon Drgas

Multim. Tools Appl., 2022

2020

Speech enhancement by iterating forward pass through U-net.

Tomasz Grzywalski, Szymon Drgas

Proceedings of the Signal Processing: Algorithms, 2020

Joint Heart Sounds Segmentation and Murmur Detection with Masked Loss Function.

Tomasz Grzywalski, Adam Maciaszek, Riccardo Belluzzo, Krzysztof Szarzynski, Mateusz Piecuch, Honorata Hafke-Dys

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Using Recurrences in Time and Frequency within U-net Architecture for Speech Enhancement.

Tomasz Grzywalski, Szymon Drgas

Proceedings of the IEEE International Conference on Acoustics, 2019

Interactive Lungs Auscultation with Reinforcement Learning Agent.

Tomasz Grzywalski, Riccardo Belluzzo, Szymon Drgas, Agnieszka Cwalinska, Honorata Hafke-Dys

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Fully Interactive Lungs Auscultation with AI Enabled Digital Stethoscope.

Tomasz Grzywalski, Riccardo Belluzzo, Mateusz Piecuch, Marcin Szajek, Anna Breborowicz, Anna Pastusiak, Honorata Hafke-Dys, Jedrzej Kocinski

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

Application of recurrent U-net architecture to speech enhancement.

Tomasz Grzywalski, Szymon Drgas

Proceedings of the Signal Processing: Algorithms, 2018

Parameterization of Sequence of MFCCs for DNN-based voice disorder detection.

Tomasz Grzywalski, Adam Maciaszek, Adam Biniakowski, Jan Orwat, Szymon Drgas, Mateusz Piecuch, Riccardo Belluzzo, Krzysztof Joachimiak, Dawid Niemiec, Jakub Ptaszynski, Krzysztof Szarzynski

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2015

Test of six image quality assessment methods.

Tomasz Grzywalski, Ryszard Stasinski

Proceedings of the International Conference on Systems, Signals and Image Processing, 2015