Wrapper feature selection for small sample size data driven by complete error estimates. - Martin Macas; Lenka Lhotská; Eduard Bakstein; Daniel Novák; Jirí Wild; Tomás Sieger; Pavel Vostatek; Robert Jech (Comput. Methods Programs Biomed., 2012)

Supervised segmentation of microelectrode recording artifacts using power spectral density. - Eduard Bakstein; Jakub Schneider; Tomás Sieger; Daniel Novák; Jirí Wild; Robert Jech (EMBC, 2015)

Resting tremor classification and detection in Parkinson's disease patients. - Carmen Camara; Pedro Isasi; Kevin Warwick; Virginie Ruiz; Tipu Z. Aziz; John F. Stein; Eduard Bakstein (Biomed. Signal Process. Control., 2015)

Probabilistic Model of Neuronal Background Activity in Deep Brain Stimulation Trajectories. - Eduard Bakstein; Tomás Sieger; Daniel Novák; Robert Jech (ITBAM, 2016)

Fusion of Microelectrode Neuronal Recordings and MRI Landmarks for Automatic Atlas Fitting in Deep Brain Stimulation Surgery. - Eduard Bakstein; Tomás Sieger; Filip Ruzicka; Daniel Novák; Robert Jech (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement. - Igor Varga; Eduard Bakstein; Greydon Gilmore; Daniel Novák (ML-CDS/CLIP@MICCAI, 2020)

Classification of Actigraphy Records from Bipolar Disorder Patients Using Slope Entropy: A Feasibility Study. - David Cuesta-Frau; Jakub Schneider; Eduard Bakstein; Pavel Vostatek; Filip Spaniel; Daniel Novák (Entropy, 2020)

Subthalamic Nucleus segmentation in high-field Magnetic Resonance data. Is space normalization by template co-registration necessary? - Tomás Lima; Igor Varga; Eduard Bakstein; Daniel Novák; Victor Alves (CoRR, 2024)