Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 22 for “"Activation maps"”.
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Pre-operative Functional Magnetic Resonance Imaging: Application to Tumour Resection by Awake Craniotomy
… technical factors on the reproducibility of fMRI activation maps. Reliability of fMRI data is shown to be comparable in low-grade glioma (LGG) patients and healthy controls, but poorer in high-grade glioma (HGG) patients. More reliable activation patterns are demonstrated for motor tasks than for …
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Pruning Convolution Neural Network (SqueezeNet) for Efficient Hardware Deployment
… Delta C. 2: Pruning based on L2 normalization of activation maps. 3: Pruning based on a combination of method 1 and method 2. The proposed methods use various ranking methods to rank the convolution kernels and prune the lower ranked filters afterwards SqueezeNet model is fine-tuned by …
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The negative BOLD response as a marker of the seizure onset zone
… Traditionally, only positive IED related fMRI activation maps were considered in relation to SOZ localization, and the negative response was ignored. It has been suggested that both positive and negative activation maps should be considered, and the maximal cluster of these two maps, regardless …
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Investigating the Functional and Structural Neural Correlates Associated With Dance Expertise
… controls. Using fMRI, the whole-brain functional activation maps of dancers and controls engaged in motor imagery of dance movements were compared. Controls were found to show greater activity in numerous regions relative to dancers, including in the superior frontal gyrus, hippocampus, and …
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Obtaining optimal data length for FMRI images
… of time points required to obtain reliable activation maps. The second phase involved the development of a program, which enabled the conversion of functional magnetic resonance images to a format that the neurosurgeon's scanner could read. Obtaining an accurate functional activation map by …
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Exploring the functional organization of cerebral cortex using data from the Human Connectome Project
… topography of structural features and functional activation maps in cerebral cortex. In my thesis, I will describe three studies that were conducted using the HCP database. In the first study, I tested genetic influences on the organization of category-selective areas of visual cortex. Using fMRI …
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Evaluating Neuroimaging Modalities in the A/T/N Framework: Single and Combined FDG-PET and T1-Weighted MRI for Alzheimer’s Diagnosis
… in AD diagnosis. Through the interpretation of activation maps, our study further elucidates the distinct yet complementary roles of FDG-PET and MRI in highlighting the pathological underpinnings of AD, contributing to a nuanced understanding of neuroimaging biomarkers in clinical settings. Our …
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Spatio-temporal fMRI signal analysis using information theory
… analysis techniques which calculate brain activation maps from JMRI data has been a challenging problem due to the limitation of current understanding of human brain physiology. In previous work a novel information-theoretic approach was introduced for calculating the activation map for …
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Learning without Expert Labels for Multimodal Data
… such as stochastic aggregation to saliency maps that improve the learning of pseudo-ground truths from class-level coarse-grained labels and address the limitations of class activation maps. Finally, this thesis evaluates whether pre-trained Vision-Language Models (VLMs) contain the …
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IDENTIFICATION OF NEUROMARKERS USING STRUCTURAL AND FUNCTIONAL NEUROIMAGING
… and differential power measures. The second part maps neuronal and functional complexities estimated using multi-scale entropy at various levels of the brain’s organization. The work introduces functional complexity, and neuromarkers were identified to predict fluid intelligence. The third part …
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Deep Learning Concepts for Evolutionary Art
… and identifies the most relevant high-level activation maps. The technique using reduced activation matrices for a fitness shows promising results. GP is able to guide the evolution of textures such that they have shared characteristics with the target image. We also experiment with the fully …
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Investigating the contribution of parallel processing to visual search performance according to the Target Contrast Signal Theory
… stage that is based on saliency or target activation maps, Target Contrast Signal Theory (TCST) proposes that parallel processing in early vision involves evidence accumulation about how likely a given location is to contain the target in effort to reject items from further processing. The …
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Applications of Computer Vision in Evaluating the Effects of New Housing Projects
… interpretability with gradient-weighted class activation maps (Grad-CAM) and find that our model is both accurate and interpretable. We apply these tools to our case study of Stockholm and find intuitive spatiotemporal characterizations of the city. We also advance the application of these …
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fMRI for mapping the plastic somatotopy of primary somatosensory cortex - Development and clinical applications
… to the physiological response following neural activation, and hence, allows brain activity to be examined and documented. In this thesis, methods for fMRI mapping of the primary somatosensory cortex (S1) are optimised and subsequently applied in studies where a plastic reorganisation of S1 is …
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MRI at 3 T of brain functions and fibre tracts adjacent to intracranial tumors
… glioma resection on the spatial extent of fMRI activation as compared to the normal within-subject variability (Paper 3); to determine whether the apparent diffusion coefficient (ADC) and fractional anisotropy (FA) can distinguish tumor-infiltrated edema of gliomas from pure edema of meningiomas …
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Volumetric Medical Classification using Deep Learning: A comparative study on classifying Alzheimer's disease using Convolutional Neural Networks
… a fraction of the data. Analysis of the models' activation gradients was conducted to confirm that 2D models are able to train well on isolated 2D slices, but struggle to process the space between these slices. Additionally, the work examines and rates the effectiveness of several optional …
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Univariate and Multivariate fMRI Investigations of Delay Discounting and Episodic Future Thinking in Alcohol Use Disorder
… fMRI). However, the extent to which these brain activation maps reflect the characteristics of impulsive behavior has not been directly studied. To examine this, we used multi-voxel pattern analysis (MVPA) methods such as multivariate classification using Support Vector Machine (SVM) algorithms …
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Environmental Context in Child Behavioural Difficulties: Exploring the role of Executive Function (EF) and Emotion Regulation (ER)
… utilising the same data followed, which examined activation pertaining to task-specific components of EF engagement. Results show executive tests involving visual letter stimuli (when compared to arrow, pictorial or spatial stimuli) recruited a particularly large proportion of common EF, and …
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The Location and Effects of Visual Hemisphere-specific Stimulation on Fluency in Children with the Characteristics of Dyslexia
… rate by an average of 20 wpm. Analysis of fMRI activation maps and ROIs clustered within the core subsystems identified by Shaywitz, et al. (2004), document processing changes in left IFG, left posterior STG, and VWFA that could result from the increase in reading speed. However, statistical …
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Regularization, Uncertainty Estimation and Out of Distribution Detection in Convolutional Neural Networks
… We also show qualitative results using class activation maps to illustrate the improvements. Lastly, we extend the second approach to train CNNs with images belonging to out of distribution and context using a uniform distribution of probability over the set of target classes for such images. …
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