CMT-6D: a lightweight iterative 6DoF pose estimation network based on cross-modal Transformer.

Low-Dose CT Image Super-Resolution With Noise Suppression Based on Prior Degradation Estimator and Self-Guidance Mechanism.

A Dual-Branch Cross-Modality-Attention Network for Thyroid Nodule Diagnosis Based on Ultrasound Images and Contrast-Enhanced Ultrasound Videos.

LGDNet: local feature coupling global representations network for pulmonary nodules detection.

Cross-modal collaborative propagation for RGB-T saliency detection.

Generative facial prior embedded degradation adaption network for heterogeneous face hallucination.

Progressive local-to-global vision transformer for occluded face hallucination.

A Retinal Vessel Segmentation Network Fusing Cross-Modal Features.

Beyond Point Annotation: A Weakly Supervised Network Guided by Multi-Level Labels Generated from Four-Point Annotation for Thyroid Nodule Segmentation in Ultrasound Image.

Optic disc detection based on fully convolutional network and weighted matrix recovery model.

Degradation Adaption Local-to-Global Transformer for Low-Dose CT Image Denoising.

Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss.

PILN: A posterior information learning network for blind reconstruction of lung CT images.

Cross-view information interaction and feedback network for face hallucination.

Hybrid transformer UNet for thyroid segmentation from ultrasound scans.

MID-UNet: Multi-input directional UNet for COVID-19 lung infection segmentation from CT images.

Skeleton-based similar action recognition through integrating the salient image feature into a center-connected graph convolutional network.

Saliency Detection via Absorbing Markov Chain with Multi-Level Cues.

CT image super-resolution reconstruction based on global hybrid attention.

DCLNet: Dual Closed-loop Networks for face super-resolution.

Underwater image super-resolution using multi-stage information distillation networks.

Image super-resolution using multi-granularity perception and pyramid attention networks.

X-Net: Multi-branch UNet-like network for liver and tumor segmentation from 3D abdominal CT scans.

Brain tumor segmentation in MR images using a sparse constrained level set algorithm.

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.

A Novel Pulmonary Nodule Detection Model Based on Multi-Step Cascaded Networks.

Mean Shift-Based Multisource Localization Method in Wireless Binary Sensor Network.

Non-Locally up-Down Convolutional Attention Network for Remote Sensing Image Super-Resolution.

Single Low-Dose CT Image Denoising Using a Generative Adversarial Network With Modified U-Net Generator and Multi-Level Discriminator.

Computed Tomography (CT) Image Quality Enhancement via a Uniform Framework Integrating Noise Estimation and Super-Resolution Networks.

Saliency detection via integrating deep learning architecture and low-level features.

Bag of local features for person re-identification on large-scale datasets.

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.

Enhancing textural differences using wavelet-based texture characteristics morphological component analysis: A preprocessing method for improving image segmentation.

Enhancement of Textural Differences Based on Morphological Component Analysis.