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Medical Image Analysis

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Showing 501–550 of 1360 papers

TitleStatusHype
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization—0
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs—0
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models—0
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomaliesCode0
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation—0
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification—0
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN—0
Implicit Neural Representation in Medical Imaging: A Comparative SurveyCode2
Cross-dimensional transfer learning in medical image segmentation with deep learningCode0
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative NormalizationCode0
Multi-layer Aggregation as a key to feature-based OOD detectionCode0
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image SegmentationCode1
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory DistillationCode1
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free ApproachCode1
CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasetsCode0
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image SegmentationCode1
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review—0
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification—0
Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion—0
Is attention all you need in medical image analysis? A review—0
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation—0
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image SegmentationCode1
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation—0
DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image AnalysisCode0
A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading—0
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-NetCode0
Challenge Results Are Not Reproducible—0
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation—0
PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and SegmentationCode1
Invariant Scattering Transform for Medical Imaging—0
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image RegistrationCode1
Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI—0
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis—0
Efficient Subclass Segmentation in Medical ImagesCode0
Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep LearningCode0
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification—0
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image AnalysisCode1
Learning Nuclei Representations with Masked Image Modelling—0
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images—0
MedLSAM: Localize and Segment Anything Model for 3D CT ImagesCode2
Regular SE(3) Group Convolutions for Volumetric Medical Image AnalysisCode1
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image DiagnosisCode0
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis TasksCode1
SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation—0
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private dataCode1
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image ClassificationCode2
A Client-server Deep Federated Learning for Cross-domain Surgical Image SegmentationCode0
Intelligent Multi-channel Meta-imagers for Accelerating Machine Vision—0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms—0
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis—0
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