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Published in 2019 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2018.10.019
Abstract: Background Cardiac conduction properties exhibit large variability, and affect patient-specific arrhythmia mechanisms. However, it is challenging to clinically measure conduction velocity (CV), anisotropy and fibre direction. Our aim is to develop a technique to estimate…
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Keywords:
direction;
fibre direction;
velocity;
activation maps ... See more keywords
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Published in 2020 at "Journal of the American College of Cardiology"
DOI: 10.1016/s0735-1097(20)34101-2
Abstract: Convolutional Neural Networks (CNN) are seamlessly integrated into many fields, including image recognition. CAM are able to recognize specific regions of images for their classification. We applied CAM and discovered discriminative segments for the detection…
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Keywords:
applicability novel;
guided single;
class activation;
activation maps ... See more keywords
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Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/adcf3d
Abstract: Deep learning is now widely used for detecting surface defects, which is crucial for automated quality control in industries. However, getting lots of accurate labeled data is tough, and this slows down the progress of…
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Keywords:
detection;
defect detection;
weakly supervised;
activation maps ... See more keywords
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Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac7f5e
Abstract: Objective. Functional magnetic resonance imaging (fMRI) requires thresholds by which to identify brain regions with significant activation, particularly for experiments involving real-life paradigms. One conventional non-parametric approach to generating surrogate data involves decomposition of the…
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Keywords:
hilbert huang;
brain;
huang transform;
activation maps ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3227804
Abstract: In recent years, Knowledge Distillation has obtained a significant interest in mobile, edge, and IoT devices due to its ability to transfer knowledge from the large and complex teacher to the lightweight student network. Intuitively,…
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Keywords:
distillation;
sparse activation;
highly activated;
student ... See more keywords
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Published in 2024 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2024.1490198
Abstract: Deep convolutional neural networks (CNNs) have achieved remarkable success in various computer vision tasks. However, the lack of interpretability in these models has raised concerns and hindered their widespread adoption in critical domains. Generating activation…
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Keywords:
fusion;
interpretability;
activation maps;
activation ... See more keywords
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Published in 2020 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2020.578895
Abstract: Introduction In the field of personalized medicine, radiomics has shown its potential to support treatment decisions. However, the limited feature interpretability hampers its introduction into the clinics. Here, we propose a new methodology to create…
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Keywords:
feature activation;
activation maps;
gtv rim;
activation ... See more keywords