AIMC Topic: Algorithms

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Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
State-of-the-art rule-based and classification-based food recommendation systems face significant challenges in becoming practical and useful. This difficulty arises primarily because most machine learning models struggle with problems characterized ...
Humans Machine Learning Algorithms Language Food Natural Language Processing
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Label-Free Classification of L-Histidine Vs Artificial Human Sweat Using Laser Scribed Electrodes and a Multi-Layer Perceptron Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
A challenge in wearable technology lies in the realtime monitoring of molecular biomarkers associated with human health. Electrochemical sensors are one of the most useful tools for this purpose and are commonly used in health monitoring devices. Ele...
Lasers Sweat Histidine Humans Electrochemical Techniques Multilayer Perceptrons Algorithms Neural Networks, Computer Electrodes Biosensing Techniques
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Enhancing explainability in ECG analysis through evidence-based AI interpretability.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
While pre-trained neural networks, e.g., for diagnosis from electrocardiograms (ECGs), are already available and show remarkable performance, their lack of transparency prevents translation to clinical practice. Recently, an explainable artificial in...
Bundle-Branch Block Neural Networks, Computer Electrocardiography Artificial Intelligence Signal Processing, Computer-Assisted Humans Algorithms
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Leveraging Deep Learning Model for Computer Vision-Based Brain Tumor Classification in 3D MRI Brain Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This study uses computer vision techniques to combine EfficientNet-3D and 3D Residual neural network(3DResnet) deep learning architecture to detect brain tumours in magnetic resonance imaging (MRI). The dataset includes a collection of 586 sets of br...
Algorithms Brain Deep Learning Imaging, Three-Dimensional Brain Neoplasms Humans Neural Networks, Computer Magnetic Resonance Imaging
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EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This work introduces EffiSegNet, a novel segmentation framework leveraging transfer learning with a pre-trained Convolutional Neural Network (CNN) classifier as its backbone. Deviating from traditional architectures with a symmetric U-shape, EffiSegN...
Image Processing, Computer-Assisted Neural Networks, Computer Humans Algorithms Convolutional Neural Networks
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PhysioSens1D-NET: A 1D Convolution Network for Extracting Heart Rate from Facial Videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Non-contact heart rate (HR) monitoring from video streams is the most established approach to unobtrusive vitals monitoring. A multitude of classical signal processing algorithms and cutting-edge deep learning models have been developed for non-conta...
Video Recording Face Signal Processing, Computer-Assisted Heart Rate Humans Algorithms Deep Learning Neural Networks, Computer
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Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
In this work, we assess the impact of self-supervised learning (SSL) approaches on the detection of gastritis atrophy (GA) and intestinal metaplasia (IM) conditions. GA and IM are precancerous gastric lesions. Detecting these lesions is crucial to in...
Algorithms Endoscopy Supervised Machine Learning Metaplasia Deep Learning Humans
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Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
While deep learning methods are increasingly applied in research contexts for neuropsychiatric disorder diagnosis, small dataset size limits their potential for clinical translation. Data augmentation (DA) could address this limitation, but the utili...
Depressive Disorder, Major Diagnosis, Computer-Assisted Deep Learning Humans Algorithms Electroencephalography Signal Processing, Computer-Assisted
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Advancements in Continuous Glucose Monitoring: Integrating Deep Learning and ECG Signal.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper presents a novel approach to noninvasive hyperglycemia monitoring utilizing electrocardiograms (ECG) from an extensive database comprising 1119 subjects. Previous research on hyperglycemia or glucose detection using ECG has been constraine...
Humans Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Continuous Glucose Monitoring Electrocardiography Hyperglycemia Monitoring, Physiologic Deep Learning Blood Glucose
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Exploring Random Forest Machine Learning for Fetal Movement Detection using Abdominal Acceleration and Angular Rate Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Fetal movement is a commonly monitored indicator of fetal wellbeing with reductions in fetal movement being associated with poor perinatal outcomes. However, more informative datasets of fetal movement are required for improved clinical decision maki...
Adult ROC Curve Abdomen Pregnancy Female Machine Learning Accelerometry Algorithms Fetal Monitoring Humans Random Forest Fetal Movement Acceleration
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