Latest Research in Generative Adversarial Networks and Image Synthesis
21 research papers · 2026 median publication year
Top Research Topics in Generative Adversarial Networks and Image Synthesis
- Cutaneous Melanoma Detection and Management — 11 papers
- Computer Vision and Pattern Recognition — 7 papers
- Generative Adversarial Networks and Image Synthesis — 1 papers
- Human-Computer Interaction — 1 papers
- Burn Injury Management and Outcomes — 1 papers
Highest-Cited Papers
- EdgeEval: A model-agnostic rapid prototyping framework for image processing at the edge
- WoundAIssist: Development and Evaluation of an AI-Based Mobile Application for Remote Chronic Wound Care in Elderly Patients
- GSCA-UNet: a gated spatial-channel attention U-net for accurate skin lesion segmentation
- QuadResBottleNeck: A lightweight bottleneck-based residual CNN for efficient multi-class skin lesion classification
- Learnable Frequency-Domain Attention with Deep Supervision for Accurate Skin Lesion Segmentation and Diagnosis
- BruNet: A Cross-Domain Transfer Framework for Bruise Segmentation
- An Attention-Guided Global and Local Fusion Framework for Lesion-Focused Image Classification
- Wound3DAssist: A Practical Framework for 3D Wound Assessment
- FAED: fuzzy attention-aided encoder-decoder architecture for skin lesion segmentation
- Hybrid CNN–BiLSTM with Multi-Transformer Stacking for Skin Lesion Classification
- Beyond Internal Performance: Evaluating Loss, Augmentation, Fusion, and Generalization in Skin Lesion Classification
- Beyond Internal Performance: Evaluating Loss, Augmentation, Fusion, and Generalization in Skin Lesion Classification
- Beyond Aggregate Accuracy: Evaluating Fusion Strategies for Skin Lesion Classification Under Natural Class Imbalance
- Beyond Aggregate Accuracy: Evaluating Fusion Strategies for Skin Lesion Classification Under Natural Class Imbalance
- Synthetic Leprosy Image Generation Using Mask-Conditioned Latent Diffusion and Transfer Learning from Large Chronic Wound Datasets
- CrossMeta-ViT: Concomitant Cross-Attention Guided Multimodal Fusion for Skin Lesion Classification
- Burn Extent and Fitzpatrick Skin Tone Assessment from Clinical Photographs: Systematic and Random Error in Multimodal Large Language Models
- FVeinSyn: Synthetic Finger Vein Image Generator
- LUTSeg: A Longitudinal Multi-Expert Dataset for Ulcer Tissue Segmentation
- Deep Feature Pyramid Convolutional Networks with In-Place Activated Batch Normalization for Automated Skin Lesion Boundary Segmentation