Functional Connectivity Methods for EEG-based Biometrics on a Large, Heterogeneous Dataset

no code implementations • 3 Jun 2022 • Pradeep Kumar G, Utsav Dutta, Kanishka Sharma, Ramakrishnan Angarai Ganesan

This study examines the utility of functional connectivity (FC) and graph-based (GB) measures with a support vector machine classifier for use in electroencephalogram (EEG) based biometrics.

EEG

An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation

no code implementations • 13 Mar 2020 • Jerrin Thomas Panachakel, Nandagopal Netrakanti Vinayak, Maanvi Nunna, A. G. Ramakrishnan, Kanishka Sharma

This work proposes improvements in the electroencephalogram (EEG) recording protocols for motor imagery through the introduction of actual motor movement and/or somatosensory cues.

EEG Motor Imagery

Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests

no code implementations • 23 Oct 2015 • Kanishka Sharma, Loic Peter, Christian Rupprecht, Anna Caroli, Lichao Wang, Andrea Remuzzi, Maximilian Baust, Nassir Navab

This paper presents a method for 3D segmentation of kidneys from patients with autosomal dominant polycystic kidney disease (ADPKD) and severe renal insufficiency, using computed tomography (CT) data.

Computed Tomography (CT) Segmentation