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Medical Image Analysis

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Showing 651–700 of 1360 papers

TitleStatusHype
Foreground-Background Separation through Concept Distillation from Generative Image Foundation ModelsCode1
A Loopback Network for Explainable Microvascular Invasion Classification—0
Image To Tree with Recursive Prompting—0
Swin MAE: Masked Autoencoders for Small DatasetsCode1
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric AttentionCode1
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models—0
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment—0
Shape Aware Automatic Region-of-Interest Subdivisions—0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm—0
3D Inception-Based TransMorph: Pre- and Post-operative Multi-contrast MRI Registration in Brain Tumors—0
A Trustworthy Framework for Medical Image Analysis with Deep Learning—0
Brain Tumor Synthetic Data Generation with Adaptive StyleGANsCode0
SimpleMind adds thinking to deep neural networksCode0
Investigating certain choices of CNN configurations for brain lesion segmentation—0
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis InitiativeCode0
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy ImagesCode0
Open-Source Skull Reconstruction with MONAICode3
Collaborative Training of Medical Artificial Intelligence Models with non-uniform LabelsCode0
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation—0
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning ModelCode0
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis—0
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation—0
Diffusion Models for Medical Image Analysis: A Comprehensive SurveyCode4
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation—0
RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer DetectionCode1
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution—0
From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee—0
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study—0
A Survey on Causal Representation Learning and Future Work for Medical Image AnalysisCode0
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernelsCode0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy GradingCode1
Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image SetsCode0
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point CloudsCode0
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis—0
Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical DatasetsCode0
Deep Perceptual Enhancement for Medical Image AnalysisCode0
Cut-Paste Consistency Learning for Semi-Supervised Lesion SegmentationCode0
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural NetworksCode0
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical SegmentationCode1
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review—0
Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive NetworksCode0
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and TasksCode1
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis—0
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye SemanticsCode1
Structure Guided Manifolds for Discovery of Disease Characteristics—0
Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis—0
Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation—0
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