Stanislaw Szlufik

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 16

Top Topics

Medical Practitioners

Disease Progression

Top Venues

Fundam. Informaticae

Publications

Andrzej W. Przybyszewski, Albert Sledzianowski, Artur Chudzik, Stanislaw Szlufik, Dariusz M. Koziorowski
Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms. Sensors 23 (4) (2023)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski
Concept of Parkinson Leading to Understanding Mechanisms of the Disease. ICCCI (2021)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski
IGrC: Cognitive and Motor Changes During Symptoms Development in Parkinson's Disease Patients. ACIIDS (2) (2020)
Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development. ACIIDS (2) (2020)
Mateusz Szumilas, Krzysztof Lewenstein, Elzbieta Slubowska, Stanislaw Szlufik, Dariusz M. Koziorowski
A Multimodal Approach to the Quantification of Kinetic Tremor in Parkinson's Disease. Sensors 20 (1) (2020)
Andrzej W. Przybyszewski, Artur Chudzik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients. Fundam. Informaticae 176 (2) (2020)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
Granular Computing (GC) Demonstrates Interactions Between Depression and Symptoms Development in Parkinson's Disease Patients. ACIIDS (2) (2019)
Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression. ACIIDS (2) (2019)
Albert Sledzianowski, Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski
Rough Set Data Mining Algorithms and Pursuit Eye Movement Measurements Help to Predict Symptom Development in Parkinson's Disease. ACIIDS (2) (2018)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
Rules Determine Therapy-Dependent Relationship in Symptoms Development of Parkinson's Disease Patients. ACIIDS (2) (2018)
Jacek Naruniec, Michal Wieczorek, Stanislaw Szlufik, Dariusz M. Koziorowski, Michal Tomaszewski, Marek Kowalski, Andrzej W. Przybyszewski
Webcam-based system for video-oculography. IET Comput. Vis. 11 (2) (2017)
Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method. ACIIDS (2) (2017)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients. ACIIDS (2) (2017)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson's Patients. PReMI (2017)
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela, Dariusz M. Koziorowski
Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients. Sensors 16 (9) (2016)
Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Piotr Habela, Andrzej W. Przybyszewski
Building Intelligent Classifiers for Doctor-Independent Parkinson's Disease Treatments. ITIB (1) (2016)
Artur Szymanski, Stanislaw Szlufik, Justyna Dutkiewicz, Dariusz M. Koziorowski, Marek Cacko, Michal Nieniecki, Andrzej W. Przybyszewski
Data mining using SPECT can predict neurological symptom development in Parkinson's patients. CYBCONF (2015)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski
Machine Learning on the Video Basis of Slow Pursuit Eye Movements Can Predict Symptom Development in Parkinson's Patients. ACIIDS (2) (2015)
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski
Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients. MICAI (2) (2014)