Deep learning approach to Parkinson’s disease detection using voice recordings and convolutional neural network dedicated to image classification M Wodzinski, A Skalski, D Hemmerling, JR Orozco-Arroyave, E Nöth 2019 41st annual international conference of the IEEE engineering in …, 2019 | 116 | 2019 |
Acoustic analysis assessment in speech pathology detection D Panek, A Skalski, J Gajda, R Tadeusiewicz International Journal of Applied Mathematics and Computer Science 25 (3 …, 2015 | 60 | 2015 |
Voice data mining for laryngeal pathology assessment D Hemmerling, A Skalski, J Gajda Computers in biology and medicine 69, 270-276, 2016 | 52 | 2016 |
Gender and age estimation methods based on speech using deep neural networks D Kwasny, D Hemmerling Sensors 21 (14), 4785, 2021 | 50 | 2021 |
Automatic Detection of Parkinson's Disease Based on Modulated Vowels. D Hemmerling, JR Orozco-Arroyave, A Skalski, J Gajda, E Nöth InterSpeech, 1190-1194, 2016 | 45 | 2016 |
Prediction and estimation of Parkinson’s disease severity based on voice signal D Hemmerling, M Wojcik-Pedziwiatr Journal of Voice 36 (3), 439. e9-439. e20, 2022 | 33 | 2022 |
Quantification of linear and non-linear acoustic analysis applied to voice pathology detection D Panek, A Skalski, J Gajda Information Technologies in Biomedicine, Volume 4, 355-364, 2014 | 19 | 2014 |
Joint gender and age estimation based on speech signals using x-vectors and transfer learning D Kwasny, D Hemmerling arXiv preprint arXiv:2012.01551, 2020 | 18 | 2020 |
Deep learning-based framework for automatic cranial defect reconstruction and implant modeling M Wodzinski, M Daniol, M Socha, D Hemmerling, M Stanuch, A Skalski Computer methods and programs in biomedicine 226, 107173, 2022 | 15 | 2022 |
Information Technologies in Biomedicine, Volume 4 E Piętka, J Kawa, W Wieclawek Springer Science & Business, 2014 | 15 | 2014 |
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the autoimplant 2021 cranial implant design challenge J Li, DG Ellis, O Kodym, L Rauschenbach, C Rieß, U Sure, KH Wrede, ... Medical Image Analysis 88, 102865, 2023 | 14 | 2023 |
Voice pathology distinction using autoassociative neural networks D Hemmerling 2017 25th European signal processing conference (EUSIPCO), 1844-1847, 2017 | 14 | 2017 |
Improving the automatic cranial implant design in cranioplasty by linking different datasets M Wodzinski, M Daniol, D Hemmerling Towards the Automatization of Cranial Implant Design in Cranioplasty II …, 2021 | 13 | 2021 |
An improved kinematic model of the spine for three-dimensional motion analysis in the Vicon system MM Długosz, D Panek, P Maciejasz, W Chwała, W Alda Research into Spinal Deformities 8, 227-231, 2012 | 13 | 2012 |
Parkinson’s disease classification based on vowel sound D Hemmerling, D Sztaho Models and Analysis of Vocal Emissions for Biomedical Applications, 29, 2019 | 8 | 2019 |
Towards a speech-test for Parkinson's disease detection: a diachronic study on Michael J. Fox M Pettorino, D Hemmerling, M Vitale, A De Meo 2018 41st International Conference on Telecommunications and Signal …, 2018 | 7 | 2018 |
Voice pathology classification based on high-speed videoendoscopy D Panek, A Skalski, T Zielinski, DD Deliyski 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 7 | 2015 |
Contactless electrostatic piloerection for haptic sensations N Iriarte, I Ezcurdia, S Elizondo, J Irisarri, D Hemmerling, A Ortiz, A Marzo IEEE Transactions on Haptics, 2023 | 5 | 2023 |
Towards multimodal VR trainer of voice emission and public speaking-work-in-progress M Igras-Cybulska, D Hekiert, A Cybulski, S Tadeja, M Witkowski, ... 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and …, 2023 | 5 | 2023 |
High-resolution cranial defect reconstruction by iterative, low-resolution, point cloud completion transformers M Wodzinski, M Daniol, D Hemmerling, M Socha International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |