Hanna-Leena Halme

发表

ISLES 2015 ‐ A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

et al., Ben Glocker, Mohammad Havaei, 2017, Medical Image Anal..

Across-subject offline decoding of motor imagery from MEG and EEG

Hanna-Leena Halme, Lauri Parkkonen, 2018 .

Adaptive neural network classifier for decoding MEG signals

Hanna-Leena Halme, Lauri Parkkonen, Rasmus Zetter, 2018, NeuroImage.

ISLES (SISS) Challenge 2015: Segmentation of Stroke Lesions Using Spatial Normalization, Random Forest Classification and Contextual Clustering

Hanna-Leena Halme, Antti Korvenoja, Eero Salli, 2015, Brainles@MICCAI.

Robust and highly adaptable brain-computer interface with convolutional net architecture based on a generative model of neuromagnetic measurements pdf

Hanna-Leena Halme, Lauri Parkkonen, Rasmus Zetter, 2018, ArXiv.

Development of an MEG-based brain–computer interface

Hanna-Leena Halme, Hanna-Leena Halme, 2019 .

Across-subject offline decoding of motor imagery from MEG and EEG

Hanna-Leena Halme, Lauri Parkkonen, L. Parkkonen, 2018, bioRxiv.

Publisher Correction: Across-subject offline decoding of motor imagery from MEG and EEG

Hanna-Leena Halme, Lauri Parkkonen, 2018, Scientific Reports.

Comparing Features for Classification of MEG Responses to Motor Imagery

Hanna-Leena Halme, Lauri Parkkonen, L. Parkkonen, 2016, PloS one.

Neural mechanisms supporting evaluation of others’ errors in real-life like conditions

Mikko Sams, Iiro P. Jääskeläinen, Enrico Glerean, 2016, Scientific Reports.