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In vivo diffusion magnetic resonance imaging of the white matter microstructure from dictionaries generated by Monte Carlo simulations: development and validation

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In vivo diffusion magnetic resonance imaging of the white matter microstructure from dictionaries generated by Monte Carlo simulations: development and validation

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Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Multiparametric Characterization and Spatial Distribution of Different MS Lesion Phenotypes

Enabling Uncertainty Estimation in Iterative Neural Networks

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

Optimizing Dynamic Aperture Studies with Active Learning

Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations

Gibbs sampling the posterior of neural networks

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Reduced order models to address temporal complexity and geometrical variability in hemodynamics

Text-to-Microstructure Generation Using Generative Deep Learning

Robust machine learning for neuroscientific inference

Partial discharge localization in power transformer tanks using machine learning methods