Kadri Medijainen

16 papers B 2C 4Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PointExplainer: Towards transparent Parkinson's disease diagnosis. Inf. Fusion Xuechao Wang, Sven Nõmm, Junqing Huang, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky
2025	J	`jnl`	PointExplainer: Towards Transparent Parkinson's Disease Diagnosis. CoRR Xuechao Wang, Sven Nomm, Junqing Huang, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky
2024	J	`jnl`	Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson's disease. Biomed. Signal Process. Control. Xuechao Wang, Junqing Huang, Marianna Chatzakou, Sven Nõmm, Elli Valla, Kadri Medijainen, Pille Taba, Aaro Toomela, Michael V. Ruzhansky
2024	J	`jnl`	LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis. Comput. Methods Programs Biomed. Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky
2023	B	`conf`	A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics. CBMS Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky
2023	J	`jnl`	A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics. CoRR Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nomm, Michael V. Ruzhansky
2023	C	`conf`	Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease. ICMLA Elli Valla, Henry Laur, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela
2023	J	`jnl`	LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis. CoRR Xuechao Wang, Junqing Huang, Sven Nomm, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky
2022	J	`jnl`	Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics. Biomed. Signal Process. Control. Elli Valla, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela
2021	—	`conf`	CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics. ACIIDS (Companion) Sergei Zarembo, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela
2021	J	`jnl`	Parkinson's Disease Diagnostics Based on the Analysis of Digital Sentence Writing Test. Vietnam. J. Comput. Sci. Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba
2020	—	`conf`	Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers. ACIIDS (1) Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba
2019	C	`conf`	Determining Necessary Length of the Alternating Series Test for Parkinson's Disease Modelling. CW Sven Nomm, Tanel Kossas, Aaro Toomela, Kadri Medijainen, Pille Taba
2018	C	`conf`	Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics. ICMLA Sven Nomm, Konstantin Bardos, Aaro Toomela, Kadri Medijainen, Pille Taba
2018	B	`conf`	Gait Analysis Based Approach for Parkinson's Disease Modeling with Decision Tree Classifiers. SMC Anna Krajushkina, Sven Nomm, Aaro Toomela, Kadri Medijainen, Eveli Tamm, Martti Vaske, Dan Uvarov, Hedi Kahar, Marita Nugis, Pille Taba
2018	C	`conf`	Interpretable Quantitative Description of the Digital Clock Drawing Test for Parkinson's Disease Modelling. ICARCV Sven Nomm, Ilja Masharov, Aaro Toomela, Kadri Medijainen, Pille Taba