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Medical Image Analysis

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Showing 1–50 of 1360 papers

TitleStatusHype
MUPAX: Multidimensional Problem Agnostic eXplainable AI—0
MedPrompt: LLM-CNN Fusion with Weight Routing for Medical Image Segmentation and Classification—0
U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs—0
Taming Vision-Language Models for Medical Image Analysis: A Comprehensive ReviewCode1
A Deep Learning Based Method for Fast Registration of Cardiac Magnetic Resonance Images—0
Multimodal Medical Image Binding via Shared Text Embeddings—0
Conquering the Retina: Bringing Visual in-Context Learning to OCTCode0
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation—0
Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images—0
BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification with Swin-HAFNet—0
3D Skin Segmentation Methods in Medical Imaging: A Comparison—0
Autonomous Computer Vision Development with Agentic AICode0
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging SegmentationCode0
Multi-modal brain MRI synthesis based on SwinUNETR—0
DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?Code1
Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical ImagingCode0
Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions—0
Can Large Language Models Challenge CNNs in Medical Image Analysis?—0
Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off—0
Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical ImagingCode0
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation—0
Preserving AUC Fairness in Learning with Noisy Protected GroupsCode0
CENet: Context Enhancement Network for Medical Image SegmentationCode1
On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?Code0
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation—0
CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction—0
MOSAIC: A Multi-View 2.5D Organ Slice Selector with Cross-Attentional Reasoning for Anatomically-Aware CT Localization in Medical Organ Segmentation—0
MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation ModelsCode1
DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images—0
Multi-modal wound classification using wound image and location by Xception and Gaussian Mixture Recurrent Neural Network (GMRNN)—0
CheXLearner: Text-Guided Fine-Grained Representation Learning for Progression Detection—0
Deeply Explainable Artificial Neural Network—0
Rethinking Boundary Detection in Deep Learning-Based Medical Image SegmentationCode2
Robust Fairness Vision-Language Learning for Medical Image AnalysisCode0
From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction—0
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant—0
Adversarial Robustness Analysis of Vision-Language Models in Medical Image SegmentationCode0
mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imagingCode2
Anyprefer: An Agentic Framework for Preference Data Synthesis—0
CLIP-IT: CLIP-based Pairing for Histology Images ClassificationCode0
Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation—0
Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization—0
Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification—0
SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical ImagingCode1
Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction—0
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image SegmentationCode0
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations—0
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Federated Learning for Medical Image Classification: A Comprehensive Benchmark—0
MedM-VL: What Makes a Good Medical LVLM?Code2
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