Latest Research in Advanced Neural Network Applications

Top Research Topics in Advanced Neural Network Applications

• Brain Tumor Detection and Classification — 3 papers
• Computer Vision and Pattern Recognition — 3 papers
• Advanced Neural Network Applications — 2 papers
• Medical Image Segmentation Techniques — 1 papers
• Neural and Evolutionary Computing — 1 papers
• Mental Health via Writing — 1 papers
• Image and Video Processing — 1 papers

Highest-Cited Papers

1. Bezier-YOLO enables real-time brain tumor segmentation in multi-plane MRI through boundary-aware parametric contour regression
2. NeuroDEEP-CNN: A Multi-Task Attention Framework for Joint Classification, Localization, and Segmentation of Brain Tumors on MRI
3. An Efficient Brain Tumor Classification Framework using Multiscale Shuffle Attention Net and Adaptive Trans-SegUnet for Segmentation
4. GCCA-trans: a hybrid segmentation network with guided criss-cross attention for early-stage head and neck tumors in CT images
5. MAAPO:an innovative membrane algorithm based on artificial protozoa optimizer for multilevel threshold image segmentation
6. Coupled Fourier Neural Operator and Vision Transformer Bottleneck for Parameter-Efficient Brain Tumor Segmentation
7. LASSNet: Level-Aware Availability-Conditioned Spatial-Semantic Fusion for Brain Tumor Segmentation with Missing MRI Modalities
8. Automated Detection of Self-Harm Wounds Using Deep Learning and Image Processing in Forensic Medicine
9. On the Role of MRI Sequences in Cross-Dataset Generalization for Brain Tumor Segmentation
10. Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation
11. DRBD-Mamba for Robust and Efficient Brain Tumor Segmentation with Analytical Insights
12. HSegFormer: hybrid CNN–transformer with stage attention for brain tumor MRI segmentation