AIMC Topic: Calibration

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Estimating individual minimum calibration for deep-learning with predictive performance recovery: An example case of gait surface classification from wearable sensor gait data.

Journal of biomechanics Apr 30, 2023
Clinical datasets often comprise multiple data points or trials sampled from a single participant. When these datasets are used to train machine learning models, the method used to extract train and test sets must be carefully chosen. Using the stand...
Adult Deep Learning Humans Gait Calibration Wearable Electronic Devices Walking
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Model certainty in cellular network-driven processes with missing data.

PLoS computational biology Apr 26, 2023
Mathematical models are often used to explore network-driven cellular processes from a systems perspective. However, a dearth of quantitative data suitable for model calibration leads to models with parameter unidentifiability and questionable predic...
Machine Learning Models, Theoretical Bayes Theorem Apoptosis Calibration
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Calibrating segmentation networks with margin-based label smoothing.

Medical image analysis Apr 24, 2023
Despite the undeniable progress in visual recognition tasks fueled by deep neural networks, there exists recent evidence showing that these models are poorly calibrated, resulting in over-confident predictions. The standard practices of minimizing th...
Entropy Image Processing, Computer-Assisted Calibration Humans Neural Networks, Computer
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Role of calibration in uncertainty-based referral for deep learning.

Statistical methods in medical research Apr 3, 2023
The uncertainty in predictions from deep neural network analysis of medical imaging is challenging to assess but potentially important to include in subsequent decision-making. Using data from diabetic retinopathy detection, we present an empirical e...
Humans Diabetic Retinopathy Calibration Uncertainty Neural Networks, Computer Deep Learning
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Three-Dimensional Human Pose Estimation from Sparse IMUs through Temporal Encoder and Regression Decoder.

Sensors (Basel, Switzerland) Mar 28, 2023
Three-dimensional (3D) pose estimation has been widely used in many three-dimensional human motion analysis applications, where inertia-based path estimation is gradually being adopted. Systems based on commercial inertial measurement units (IMUs) us...
Movement Calibration Humans Biomechanical Phenomena Neural Networks, Computer Motion
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Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.

JAMA network open Mar 1, 2023
IMPORTANCE: Neuroimaging-based artificial intelligence (AI) diagnostic models have proliferated in psychiatry. However, their clinical applicability and reporting quality (ie, feasibility) for clinical practice have not been systematically evaluated.
Calibration Artificial Intelligence Bias Benchmarking Neuroimaging Humans
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An Extended Spatial Transformer Convolutional Neural Network for Gesture Recognition and Self-Calibration Based on Sparse sEMG Electrodes.

IEEE transactions on biomedical circuits and systems Feb 14, 2023
sEMG-based gesture recognition is widely applied in human-machine interaction system by its unique advantages. However, the accuracy of recognition drops significantly as electrodes shift. Besides, in applications such as VR, virtual hands should be ...
Gestures Hand Calibration Electromyography Humans Neural Networks, Computer Electrodes Algorithms
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Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.

IEEE transactions on neural networks and learning systems Feb 3, 2023
In recent years, deep learning-based feature representation methods have shown a promising impact on electroencephalography (EEG)-based brain-computer interface (BCI). Nonetheless, owing to high intra- and inter-subject variabilities, many studies on...
Calibration Humans Algorithms Brain-Computer Interfaces Neural Networks, Computer Electroencephalography Machine Learning
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Evaluations on supervised learning methods in the calibration of seven-hole pressure probes.

PloS one Jan 23, 2023
Machine learning method has become a popular, convenient and efficient computing tool applied to many industries at present. Multi-hole pressure probe is an important technique widely used in flow vector measurement. It is a new attempt to integrate ...
Machine Learning Algorithms Neural Networks, Computer Support Vector Machine Calibration
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Using deep learning to predict survival outcome in non-surgical cervical cancer patients based on pathological images.

Journal of cancer research and clinical oncology Jan 19, 2023
PURPOSE: We analyzed clinical features and the representative HE-stained pathologic images to predict 5-year overall survival via the deep-learning approach in cervical cancer patients in order to assist oncologists in designing the optimal treatment...
Humans Calibration Retrospective Studies Deep Learning Female Nomograms Uterine Cervical Neoplasms
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