Publicaciones (33) Publicaciones de DARYA CHYZHYK

2020

  1. An Imaging and Blood Biomarkers Open Dataset on Alzheimer's Disease vs. Late Onset Bipolar Disorder

    Frontiers in Aging Neuroscience

2019

  1. Benchmarking functional connectome-based predictive models for resting-state fMRI

    NeuroImage, Vol. 192, pp. 115-134

  2. Dynamic Causal Modeling and machine learning for effective connectivity in Auditory Hallucination

    Neurocomputing, Vol. 326-327, pp. 61-68

2018

  1. A 2D/3D convolutional neural network for brain white matter lesion detection in multimodal MRI

    Advances in Intelligent Systems and Computing

  2. Controlling a confound in predictive models with a test set minimizing its effect

    2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018

2017

  1. Brain white matter lesion segmentation with 2D/3D CNN

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Resting State Effective Connectivity Allows Auditory Hallucination Discrimination

    International Journal of Neural Systems, Vol. 27, Núm. 5

  3. White matter tract integrity in Alzheimer's disease vs. Late Onset Bipolar Disorder and its correlation with systemic inflammation and oxidative stress biomarkers

    Frontiers in Aging Neuroscience, Vol. 9, Núm. JUN

2016

  1. Eigenanatomy on fractional anisotropy imaging provides white matter anatomical features discriminating between Alzheimer’s disease and late onset bipolar disorder

    Current Alzheimer Research, Vol. 13, Núm. 5, pp. 557-565

  2. Image Understanding Applications of Lattice Autoassociative Memories

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, Núm. 9, pp. 1920-1932

  3. Innovations in healthcare and medicine editorial

    Computers in Biology and Medicine

  4. Late onset bipolar disorder versus alzheimer disease

    Smart Innovation, Systems and Technologies

  5. Review of automatic segmentation methods of white matter lesions on MRI data

    Smart Innovation, Systems and Technologies

2015

  1. An active learning approach for stroke lesion segmentation on multimodal MRI data

    Neurocomputing, Vol. 150, Núm. Part A, pp. 26-36

  2. Classification of schizophrenia patients on lattice computing resting-state fMRI features

    Neurocomputing, Vol. 151, Núm. P1, pp. 151-160

  3. Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM

    Neural Networks, Vol. 68, pp. 23-33

  4. Discrimination between Alzheimer's disease and late onset bipolar disorder using multivariate analysis

    Frontiers in Aging Neuroscience, Vol. 7, Núm. DEC

  5. Discrimination of schizophrenia auditory hallucinators by machine learning of resting-state functional MRI

    International Journal of Neural Systems, Vol. 25, Núm. 3

  6. Some results on dynamic causal modeling of auditory hallucinations

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2014

  1. Computer aided diagnosis of schizophrenia based on local-activity measures of resting-state fMRI

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)