CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking

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Whereas pulse-echo ultrasound imaging relied on focused acoustic waves since its inception, the last two decades have seen the development of techniques based on unfocused waves, including ultrafast ultrasound imaging. In large part due to the emergence of ...

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The Affleck-Kennedy-Lieb-Tasaki (AKLT) point of the bilinear-biquadratic spin-1 chain is a cornerstone example of a disorder point where short-range correlations become incommensurate, and correlation lengths and momenta are nonanalytic. While the presence ...

CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking

Chattez avec Graph Search

Enhancing skin lesion classification: a CNN approach with human baseline comparison

Application of Deep Learning and Geospatial Analysis in Soil Loss Risk in the Moulouya Watershed, Morocco

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

Machine learning-enabled estimation of cardiac output from peripheral waveforms is independent of blood pressure measurement location in an in silico population

Stereo Hand-Object Reconstruction for Human-to-Robot Handover

Euclid: Validation of the MontePython forecasting tools

Neural Garment Modeling

Euclid: The search for primordial features

MetaCap: Meta-learning Priors from Multi-view Imagery for Sparse-View Human Performance Capture and Rendering

Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression

Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context

Partial discharge localization in power transformer tanks using machine learning methods

Edge-Cloud Collaborated Object Detection via Bandwidth Adaptive Difficult-Case Discriminator

Inverse Problems in Pulse-Echo Ultrasound: Exploiting Coherence for Image Enhancement and Quantitative Imaging

t-PiNet: A thermodynamics-informed hierarchical learning for discovering constitutive relations of geomaterials

A Study on Quantum Graph Neural Networks Applied to Molecular Physics

A state-of-the-art, systematic review of indoor environmental quality studies in work-from-home settings

On the added value of sequential deep learning for the upscaling of evapotranspiration

Unveiling breast cancer metastasis through an advanced X-ray imaging approach

Singularity with and without disorder at Affleck-Kennedy-Lieb-Tasaki points