Publications and media


Popularization talk about AI in medicine, held together with Marian Kolenic, M.D., at the "Na hlavu" film festival, Prague, 1.2.2019 [video - Czech only]

Popularization talk about arificial vs real neurons and neural  network modelling, at the "Na hlavu" film festival, Prague, 21.4.2017 [video - Czech only]

youtube iris recognitionTalk about iris recognition at the Machine-learning meetups, Prague, 9.3.2016 [video - Czech only]


Selected publications

Bakštein, E. (2016) Deep Brain Recordings in Parkinson’s Disease: Processing, Analysis and Fusion with Anatomical Models, doctoral thesis, Czech Technical Univeristy in Prague [PDF]

Anýž, J., Bakštein, E., Dudysová, D., Veldová, K., Kliková, M., Fárková, E., … Španiel, F. (2019). No wink of sleep: Population sleep characteristics in response to the brexit poll and the 2016 U.S. presidential election. Social Science and Medicine, 222, 112–121. [PDF author ver.]

Bakštein E., Sieger T., Růžička F., Novák D., Jech R. (2018) Fusion of Microelectrode Neuronal Recordings and MRI Landmarks for Automatic Atlas Fitting in Deep Brain Stimulation Surgery. In: Stoyanov D. et al. (eds) OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis. CARE 2018, CLIP 2018, OR 2.0 2018, ISIC 2018. Lecture Notes in Computer Science, vol 11041. Springer, Cham, [PDF preprint]

Bakštein, E., Sieger, T., Novák, D., Růžička, F., & Jech, R. (2018). Automated Atlas Fitting for Deep Brain Stimulation Surgery Based on Microelectrode Neuronal Recordings. In Proceedings of the World Congress on Medical Physics and Biomedical Engineering 2018 (pp. 105–111). [PDF preprint]

Bakštein, E., Sieger, T., Wild, J., Novák, D., Schneider, J., Vostatek, P., Urgošík, D., Jech, R. (2017). Methods for automatic detection of artifacts in microelectrode recordings. In: Journal of Neuroscience Methods, 290, 39–51. [PDF, supplementary: PDFmatlab codes, data (18MB)]

Spaniel, F., Bakstein, E., Anyz, J., Hlinka, J., Sieger, T., Hrdlicka, J., Gornerova, N., Hoschl, C. (2016) Relapse in schizophrenia: definitively not a bolt from the blue. Neuroscience Letters, S0304-3940(16), 30265–8. [PDF preprint at researchgate]

Bakstein, E.; Sieger, T.; Novák, D.; Jech, R.  (2016) Probabilistic model of neuronal background activity in deep brain stimulation trajectories In: Information Technology in Bio- and Medical Informatics. Basel: Springer, 2016, pp. 97-111. LNCS 9832 [PDF preprint]

Bakstein, E., Schneider, J., Sieger, T., Novak, D., Wild, J., Jech, R. (2015)
Supervised segmentation of microelectrode recording artifacts using power spectral density,
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2015-November, pp. 1524-1527. [PDF preprint]

Carmen, C., Isasi, P., Warwick, K., Ruiz, W., Aziz, T., Stein, J., Bakstein, E. (2015): Resting tremor classification and detection in Parkinson's disease patients. Biomedical Signal Processing and Control. 2015, vol. 16, p. 88-97. ISSN 1746-8094. [PDF at researchgate]

Bakstein, E., Burgess, J., Warwick, K., Ruiz, V., Aziz, T.  (2012): Parkinsonian Tremor Identification with Multiple Local Field Potential Feature Classification. Journal of Neuroscience Methods. 2012, vol. 2, no. 209, p. 320-330. ISSN 0165-0270. [PDF preprint]


IFBME Young Ivestigator Competition (3rd place), at the World Congress on Medical Physics and Biomedical Engineering, Prague, Czech Republic, June 3-8. 2018


Utility model: A device for scanning dermatoglyphic palm patterns (2018, link)