Kadri Medijainen

According to our database, Kadri Medijainen authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson's disease.

Xuechao Wang, Junqing Huang, Marianna Chatzakou, Sven Nõmm, Elli Valla, Kadri Medijainen, Pille Taba, Aaro Toomela, Michael V. Ruzhansky

Biomed. Signal Process. Control., January, 2024

2023

LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis.

Xuechao Wang, Junqing Huang, Sven Nomm, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky

CoRR, 2023

Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease.

Elli Valla, Henry Laur, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela

Proceedings of the International Conference on Machine Learning and Applications, 2023

A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics.

Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics.

Elli Valla, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela

Biomed. Signal Process. Control., 2022

2021

Parkinson's Disease Diagnostics Based on the Analysis of Digital Sentence Writing Test.

Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba

Vietnam. J. Comput. Sci., 2021

CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics.

Sergei Zarembo, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021

2020

Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers.

Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019

Determining Necessary Length of the Alternating Series Test for Parkinson's Disease Modelling.

Sven Nomm, Tanel Kossas, Aaro Toomela, Kadri Medijainen, Pille Taba

Proceedings of the 2019 International Conference on Cyberworlds, 2019

2018

Gait Analysis Based Approach for Parkinson's Disease Modeling with Decision Tree Classifiers.

Anna Krajushkina, Sven Nomm, Aaro Toomela, Kadri Medijainen, Eveli Tamm, Martti Vaske, Dan Uvarov, Hedi Kahar, Marita Nugis, Pille Taba

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics.

Sven Nomm, Konstantin Bardos, Aaro Toomela, Kadri Medijainen, Pille Taba

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Interpretable Quantitative Description of the Digital Clock Drawing Test for Parkinson's Disease Modelling.

Sven Nomm, Ilja Masharov, Aaro Toomela, Kadri Medijainen, Pille Taba

Proceedings of the 15th International Conference on Control, 2018