Machine learning applications on neuroimaging for diagnosis and prognosis of epilepsy: A review
Abstract Machine learning is playing an increasingly important role in medical image
analysis, spawning new advances in the clinical application of neuroimaging. There have …
analysis, spawning new advances in the clinical application of neuroimaging. There have …
[HTML][HTML] Computational analysis in epilepsy neuroimaging: a survey of features and methods
Epilepsy affects 65 million people worldwide, a third of whom have seizures that are
resistant to anti-epileptic medications. Some of these patients may be amenable to surgical …
resistant to anti-epileptic medications. Some of these patients may be amenable to surgical …
A comprehensive review of conditional random fields: variants, hybrids and applications
B Yu, Z Fan - Artificial Intelligence Review, 2020 - Springer
The conditional random fields (CRFs) model plays an important role in the machine learning
field. Driven by the development of the artificial intelligence, the CRF models have enjoyed …
field. Driven by the development of the artificial intelligence, the CRF models have enjoyed …
Automated fusion of multimodal imaging data for identifying epileptogenic lesions in patients with inconclusive magnetic resonance imaging
Many methods applied to data acquired by various imaging modalities have been evaluated
for their benefit in localizing lesions in magnetic resonance (MR) negative epilepsy patients …
for their benefit in localizing lesions in magnetic resonance (MR) negative epilepsy patients …
AnRAD: A neuromorphic anomaly detection framework for massive concurrent data streams
The evolution of high performance computing technologies has enabled the large-scale
implementation of neuromorphic models and pushed the research in computational …
implementation of neuromorphic models and pushed the research in computational …
Focal cortical anomalies and language impairment in 16p11. 2 deletion and duplication syndrome
K Blackmon, T Thesen, S Green, E Ben-Avi… - Cerebral …, 2018 - academic.oup.com
Individuals with copy number variants (CNV) in the 16p11. 2 chromosomal region are at
high risk for language disorders. We investigate whether the extent and location of focal …
high risk for language disorders. We investigate whether the extent and location of focal …
Structural MRI biomarkers of shared pathogenesis in autism spectrum disorder and epilepsy
K Blackmon - Epilepsy & Behavior, 2015 - Elsevier
Etiological factors that contribute to a high comorbidity between autism spectrum disorder
(ASD) and epilepsy are the subject of much debate. Does epilepsy cause ASD or are there …
(ASD) and epilepsy are the subject of much debate. Does epilepsy cause ASD or are there …
Influence of outliers introduction on predictive models quality
The paper presents results of the research related to influence of the level of outliers in the
data (train and test data considered separately) on the quality of a model prediction in a …
data (train and test data considered separately) on the quality of a model prediction in a …
Decrypting “cryptogenic” epilepsy: semi-supervised hierarchical conditional random fields for detecting cortical lesions in MRI-negative patients
B Ahmed, T Thesen, KE Blackmon, R Kuzniekcy… - Journal of Machine …, 2016 - jmlr.org
Focal cortical dysplasia (FCD) is the most common cause of pediatric epilepsy and the third
most common cause in adults with treatment-resistant epilepsy. Surgical resection of the …
most common cause in adults with treatment-resistant epilepsy. Surgical resection of the …
A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people
Falls are common among older people, especially in hospitals and nursing homes. The
combination of pervasive sensing and statistical learning methods is creating new …
combination of pervasive sensing and statistical learning methods is creating new …