Latest Research in Anatomical Tissue Characterization

Top Research Topics in Anatomical Tissue Characterization

• Computer Vision and Pattern Recognition — 23 papers
• Image and Video Processing — 14 papers
• Advanced MRI Techniques and Applications — 3 papers
• Ultrasound Imaging and Elastography — 2 papers
• Cell Image Analysis Techniques — 2 papers
• Diabetic Foot Ulcer Assessment and Management — 2 papers
• Advanced X-ray and CT Imaging — 2 papers
• Temporomandibular Joint Disorders — 1 papers
• Acute Ischemic Stroke Management — 1 papers
• MRI in cancer diagnosis — 1 papers

Highest-Cited Papers

1. Deep learning super-resolution of paediatric ultra-low-field MRI without paired high-field scans (3 citations)
2. Anatomy-aware, label-informed approach improves image registration for challenging datasets (1 citations)
3. A U-Net Transformer for magnetic resonance elastography
4. MRI Image Segmentation Algorithm for Temporomandibular Joint Discs and Condyles Based on the Improved nnU-Net Framework
5. Instant3D: A Lightweight Open-Source GUI Frontend for TotalSegmentator-Based Medical Image Segmentation and 3D Reconstruction
6. TransUNet-GradCAM: a hybrid transformer-U-Net with self-attention and explainable visualizations for foot ulcer segmentation
7. Generalizable and equitable automated ischaemic stroke lesion segmentation with vision transformers
8. A Dual-Stream Regulated Reconstruction and Segmentation Network with Hierarchical Artifact-Prior Modeling for Ultra-Low-Field Pediatric Neuroimaging
9. TransUNet-GradCAM: A Hybrid Transformer-U-Net with Self-Attention and Explainable Visualizations for Foot Ulcer Segmentation
10. NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction
11. Open ultrasound foundation model for robust segmentation and clinical measurement across heterogeneous settings
12. SSCA-DIPNet: Structured Sparse and Channel-Attentive Deep Image Prior Network for Highly-Accelerated MRI
13. Sustainable MRI: Interpretable Deep Learning for estimating energy and power consumption, revealing key acquisition parameters and their interactions
14. Spatially Aware Acquisition‐Independent Deep Learning for IVIM MRI Parameter Estimation in Patients With Esophageal Cancer
15. A hierarchy-aware multi-label framework for anatomically consistent intravascular ultrasound segmentation
16. RFS-UNet: Decoder-Conditioned High-Resolution Skip Recalibration for Bone-Selective DRR Synthesis
17. Model-based motion simulation framework for deep learning-assisted motion correction in dynamic wrist CT
18. Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
19. SV-Cine: Diagnosis-Conditioned Segmentation of Single Ventricle Physiology via Generative Data Augmentation
20. Geometric-to-Semantic Spherical Transfer Learning for Cortical Sulci Labeling

Sub-Regions

• Image and Video Processing — 28 papers
• Computer Vision and Pattern Recognition — 26 papers
• Cell Image Analysis Techniques — 15 papers
• Advanced MRI Techniques and Applications — 10 papers
• Robotics — 6 papers
• Diabetic Foot Ulcer Assessment and Management — 6 papers