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Medical Image Analysis

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Showing 451–500 of 1360 papers

TitleStatusHype
Unsupervised Feature Orthogonalization for Learning Distortion-Invariant RepresentationsCode0
Improved Unet model for brain tumor image segmentation based on ASPP-coordinate attention mechanism—0
Quantifying Knee Cartilage Shape and Lesion: From Image to MetricsCode0
Continual Domain Incremental Learning for Privacy-aware Digital Pathology—0
The Impact of Scanner Domain Shift on Deep Learning Performance in Medical Imaging: an Experimental Study—0
Kvasir-VQA: A Text-Image Pair GI Tract DatasetCode0
Visual Prompt Engineering for Medical Vision Language Models in Radiology—0
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training—0
Exploring Adult Glioma through MRI: A Review of Publicly Available Datasets to Guide Efficient Image Analysis—0
MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient—0
Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical ImagingCode0
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation—0
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning—0
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation—0
Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule EndoscopyCode0
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarningCode0
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning—0
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2—0
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?—0
PINNs for Medical Image Analysis: A Survey—0
Securing the Diagnosis of Medical Imaging: An In-depth Analysis of AI-Resistant Attacks—0
Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications—0
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring—0
Dataset Distillation in Medical Imaging: A Feasibility Study—0
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical DomainCode0
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game—0
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation—0
PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models—0
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression AnalysisCode0
A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization, Noise Reduction, and Impact on Cardiovascular Risk Markers—0
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation—0
Brain Age Estimation with a Greedy Dual-Stream Model for Limited DatasetsCode0
Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRICode0
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis—0
Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification—0
Multi-branch CNN and grouping cascade attention for medical image classification—0
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis—0
Malaria Cell Detection Using Deep Neural Networks—0
Brain Tumor Classification using Vision Transformer with Selective Cross-Attention Mechanism and Feature Calibration—0
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averagingCode0
DWARF: Disease-weighted network for attention map refinement—0
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars—0
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM—0
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology ImagesCode0
Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks—0
Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical ImageCode0
Head Pose Estimation and 3D Neural Surface Reconstruction via Monocular Camera in situ for Navigation and Safe Insertion into Natural Openings—0
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification—0
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery MethodsCode0
Boosting Medical Image Classification with Segmentation Foundation Model—0
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