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Medical Image Analysis

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Showing 51–100 of 1360 papers

TitleStatusHype
STPNet: Scale-aware Text Prompt Network for Medical Image SegmentationCode1
Efficient Self-Supervised Adaptation for Medical Image AnalysisCode1
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstructionCode1
Interactive Medical Image Analysis with Concept-based Similarity ReasoningCode1
H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical ImagingCode1
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural FieldsCode1
Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour AwarenessCode1
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical ImagesCode1
SegX: Improving Interpretability of Clinical Image Diagnosis with Segmentation-based EnhancementCode1
ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-trainingCode1
Unraveling Normal Anatomy via Fluid-Driven Anomaly RandomizationCode1
MedFILIP: Medical Fine-grained Language-Image Pre-trainingCode1
Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging DatasetsCode1
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2Code1
UTSRMorph: A Unified Transformer and Superresolution Network for Unsupervised Medical Image RegistrationCode1
STA-Unet: Rethink the semantic redundant for Medical Imaging SegmentationCode1
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationCode1
MONICA: Benchmarking on Long-tailed Medical Image ClassificationCode1
Structure-Aware Single-Source Generalization with Pixel-Level Disentanglement for Joint Optic Disc and Cup SegmentationCode1
Aligning Medical Images with General Knowledge from Large Language ModelsCode1
Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD DetectionCode1
PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt LearningCode1
Deep Generative Classification of Blood Cell MorphologyCode1
Yucca: A Deep Learning Framework For Medical Image AnalysisCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA ImagesCode1
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical ImagesCode1
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease DiagnosisCode1
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical ImagesCode1
XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection ImageCode1
Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup RegularizationCode1
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical DiagnosisCode1
Semi-Supervised Learning for Deep Causal Generative ModelsCode1
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor SegmentationCode1
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography AnalysisCode1
FluoroSAM: A Language-aligned Foundation Model for X-ray Image SegmentationCode1
DINOv2 based Self Supervised Learning For Few Shot Medical Image SegmentationCode1
MedContext: Learning Contextual Cues for Efficient Volumetric Medical SegmentationCode1
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept AlignmentCode1
Detection and Classification of Diabetic Retinopathy using Deep Learning Algorithms for Segmentation to Facilitate Referral Recommendation for Test and Treatment PredictionCode1
Prompt-driven Latent Domain Generalization for Medical Image ClassificationCode1
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive NetworksCode1
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-PromptingCode1
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain ShiftsCode1
Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology BenchmarksCode1
Learning Anatomically Consistent Embedding for Chest RadiographyCode1
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation LearningCode1
PHG-Net: Persistent Homology Guided Medical Image ClassificationCode1
UAE: Universal Anatomical Embedding on Multi-modality Medical ImagesCode1
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformationCode1
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