| 2023 | CBMS | A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics. | Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nmm, Michael V. Ruzhansky |
| 2023 | ICMLA | Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease. | Elli Valla, Henry Laur, Sven Nmm, Kadri Medijainen, Pille Taba, Aaro Toomela |
| 2021 | ACIIDS | CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics. | Sergei Zarembo, Sven Nmm, Kadri Medijainen, Pille Taba, Aaro Toomela |
| 2020 | ACIIDS | Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers. | Aleksei Netsunajev, Sven Nmm, Aaro Toomela, Kadri Medijainen, Pille Taba |
| 2019 | CW | Determining Necessary Length of the Alternating Series Test for Parkinson's Disease Modelling. | Sven Nomm, Tanel Kossas, Aaro Toomela, Kadri Medijainen, Pille Taba |
| 2018 | ICARCV | Interpretable Quantitative Description of the Digital Clock Drawing Test for Parkinson's Disease Modelling. | Sven Nomm, Ilja Masharov, Aaro Toomela, Kadri Medijainen, Pille Taba |
| 2018 | ICMLA | Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics. | Sven Nomm, Konstantin Bardos, Aaro Toomela, Kadri Medijainen, Pille Taba |
| 2018 | SMC | 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 |