Tag: U-Net

Researchers in Vietnam have developed U-NetL2O, an explainable learning-to-optimize framework that embeds a U-Net into an unrolled ADMM scheme to ...

A new peer-reviewed study compares three deep learning approaches for detecting stroke lesions on contrast-free MRI, finding that the self-configuring ...

Researchers have unveiled ANNE, a compact segmentation network that pairs Mamba state-space modeling with adaptive polynomial neuron expansion to match ...

A Huazhong Agricultural University team has developed IncResUnet, a deep learning model that detects ionospheric plasma bubbles far more reliably ...

Researchers have developed a semi-supervised deep learning method that automatically detects and vectorizes faults and geological boundaries on archived scanned ...

Researchers in London have developed NeuralShift, a deep learning framework that predicts brain deformation during temporal lobe resection for epilepsy ...

Researchers in China have developed REF-VMUNetUp, a Mamba-based network with rotary position embeddings and dynamic upsampling that improves multi-organ segmentation ...

Researchers have developed a U-Net-based segmentation network that recovers high-frequency image details lost during downsampling, achieving record accuracy in segmenting ...

Researchers in Morocco have built a real-time pipeline that combines a hybrid U-Net and SegFormer deep learning model with a ...

Researchers at EPFL have developed MAGNETS, an inherently interpretable neural network that predicts continuous targets from time series by learning ...