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Medical Image Analysis

Papers

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Showing 1301–1350 of 1360 papers

TitleStatusHype
Nonparametric Density Flows for MRI Intensity NormalisationCode0
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averagingCode0
Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLOCode0
Autonomous Computer Vision Development with Agentic AICode0
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised LearningCode0
Compound Figure Separation of Biomedical Images with Side LossCode0
Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage ModelCode0
O-MedAL: Online Active Deep Learning for Medical Image AnalysisCode0
Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep LearningCode0
Synthesizing Filamentary Structured Images with GANsCode0
Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection EngineCode0
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal RepresentationsCode0
On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration NetworksCode0
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image DiagnosisCode0
An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-NetCode0
Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical ImagingCode0
Unsupervised Feature Orthogonalization for Learning Distortion-Invariant RepresentationsCode0
On the relationship between calibrated predictors and unbiased volume estimationCode0
On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?Code0
TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image SegmentationCode0
When do Convolutional Neural Networks Stop Learning?Code0
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic PerspectiveCode0
Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound ImagesCode0
Operating critical machine learning models in resource constrained regimesCode0
Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-raysCode0
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial NetworksCode0
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging ClassificationCode0
Collaborative Training of Medical Artificial Intelligence Models with non-uniform LabelsCode0
Co-Learning Feature Fusion Maps from PET-CT Images of Lung CancerCode0
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image AnalysisCode0
Self-Supervised Learning Based on Spatial Awareness for Medical Image AnalysisCode0
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image SegmentationCode0
Disease-informed Adaptation of Vision-Language ModelsCode0
Automatic Infectious Disease Classification Analysis with Concept DiscoveryCode0
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier ModelsCode0
Task-Oriented Low-Dose CT Image DenoisingCode0
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis InitiativeCode0
Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement NetworksCode0
Self-supervised Mean Teacher for Semi-supervised Chest X-ray ClassificationCode0
UMIT: Unifying Medical Imaging Tasks via Vision-Language ModelsCode0
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology ImagesCode0
CLIP-IT: CLIP-based Pairing for Histology Images ClassificationCode0
Temporal Consistency Objectives Regularize the Learning of Disentangled RepresentationsCode0
Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image SetsCode0
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image SegmentationCode0
Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRICode0
Self-Supervised Ultrasound to MRI Fetal Brain Image SynthesisCode0
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMICode0
Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per classCode0
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression AnalysisCode0
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