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2020 – today
- 2024
[j4]Xuechao Wang
, Junqing Huang, Marianna Chatzakou, Sven Nõmm, Elli Valla, Kadri Medijainen, Pille Taba, Aaro Toomela, Michael V. Ruzhansky:
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson's disease. Biomed. Signal Process. Control. 87(Part B): 105436 (2024)- [j3]Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky:
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis. Comput. Methods Programs Biomed. 247: 108066 (2024) - 2023
- [c8]Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky:
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics. CBMS 2023: 616-621 - [c7]Elli Valla, Henry Laur, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela:
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease. ICMLA 2023: 1066-1071 - [i2]Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nomm, Michael V. Ruzhansky:
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics. CoRR abs/2302.00973 (2023) - [i1]Xuechao Wang, Junqing Huang, Sven Nomm, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky:
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis. CoRR abs/2311.11756 (2023) - 2022
- [j2]Elli Valla, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela:
Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics. Biomed. Signal Process. Control. 75: 103551 (2022) - 2021
- [j1]Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba:
Parkinson's Disease Diagnostics Based on the Analysis of Digital Sentence Writing Test. Vietnam. J. Comput. Sci. 8(4): 493-512 (2021) - [c6]Sergei Zarembo, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela:
CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics. ACIIDS (Companion) 2021: 3-13 - 2020
- [c5]Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba:
Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers. ACIIDS (1) 2020: 345-357
2010 – 2019
- 2019
- [c4]Sven Nomm, Tanel Kossas, Aaro Toomela, Kadri Medijainen, Pille Taba:
Determining Necessary Length of the Alternating Series Test for Parkinson's Disease Modelling. CW 2019: 261-266 - 2018
- [c3]Sven Nomm, Ilja Masharov, Aaro Toomela, Kadri Medijainen, Pille Taba:
Interpretable Quantitative Description of the Digital Clock Drawing Test for Parkinson's Disease Modelling. ICARCV 2018: 1839-1844 - [c2]Sven Nomm, Konstantin Bardos, Aaro Toomela, Kadri Medijainen, Pille Taba:
Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics. ICMLA 2018: 1347-1352 - [c1]Anna Krajushkina, Sven Nomm, Aaro Toomela, Kadri Medijainen, Eveli Tamm, Martti Vaske, Dan Uvarov, Hedi Kahar, Marita Nugis, Pille Taba:
Gait Analysis Based Approach for Parkinson's Disease Modeling with Decision Tree Classifiers. SMC 2018: 3720-3725
Coauthor Index
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last updated on 2024-08-05 20:20 CEST by the dblp team
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