Alternative Approach to Model Changes of Human Motor Functions. - Sven Nomm; Aaro Toomela; Jevgeni Borushko (EMS, 2013)

Towards Establishing Relationships between Human Arousal Level and Motion Mass. - Sven Nõmm; Tiit Kõnnusaar; Aaro Toomela (ICONIP (1), 2014)

The Ways of Scientific Anticipation: From Guesses to Probabilities and from There to Certainty. - Aaro Toomela (Anticipation Across Disciplines, 2016)

Quantitative analysis in the digital Luria's alternating series tests. - Sven Nomm; Aaro Toomela; Julia Kozhenkina; Toomas Toomsoo (ICARCV, 2016)

Recognition and Analysis of the Contours Drawn during the Poppelreuter's Test. - Sven Nomm; Konstantin Bardos; Ilja Masarov; Julia Kozhenkina; Aaro Toomela; Toomas Toomsoo (ICMLA, 2016)

Towards the Notion of Average Trajectory of the Repeating Motion of Human Limbs. - Sven Nõmm; Aaro Toomela; Ilia Gaichenja (ACIIDS (2), 2017)

Towards Modeling of Finger Motions in Virtual Reality Environment. - Sven Nõmm; Aaro Toomela; Jaroslav Kulikov (AVR (1), 2017)

Interpretable Quantitative Description of the Digital Clock Drawing Test for Parkinson's Disease Modelling. - Sven Nomm; Ilja Masharov; Aaro Toomela; Kadri Medijainen; Pille Taba (ICARCV, 2018)

Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics. - Sven Nomm; Konstantin Bardos; Aaro Toomela; Kadri Medijainen; Pille Taba (ICMLA, 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 (SMC, 2018)

Determining Necessary Length of the Alternating Series Test for Parkinson's Disease Modelling. - Sven Nomm; Tanel Kossas; Aaro Toomela; Kadri Medijainen; Pille Taba (CW, 2019)

Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers. - Aleksei Netsunajev; Sven Nõmm; Aaro Toomela; Kadri Medijainen; Pille Taba (ACIIDS (1), 2020)

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 (ACIIDS (Companion), 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)

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)

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 (CBMS, 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 (ICMLA, 2023)

Transforming fatigue assessment: Smartphone-based system with digitized motor skill tests. - Elli Valla; Ain-Joonas Toose; Sven Nõmm; Aaro Toomela (Int. J. Medical Informatics, 2023)

Enhancing Cerebral Palsy Gait Analysis with 3D Computer Vision: A Dual-Camera Approach. - Elli Valla; Gert Kanter; Sven Nõmm; Anton Osvald Kuusk; Peeter Maran; Karl Mihkel Seenmaa; Killu Mägi; Aaro Toomela (CoDIT, 2024)

LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis. - Xuechao Wang; Junqing Huang; Marianna Chatzakou; Kadri Medijainen; Aaro Toomela; Sven Nõmm; Michael V. Ruzhansky (Comput. Methods Programs Biomed., 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., 2024)

PointExplainer: Towards Transparent Parkinson's Disease Diagnosis. - Xuechao Wang; Sven Nomm; Junqing Huang; Kadri Medijainen; Aaro Toomela; Michael V. Ruzhansky (CoRR, 2025)