medical image classification

Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification AAAI 2026 Dual-Level Hypergraph Generation for Addressing Feature Scarcity in Whole-Slide Image Classification CVPR 2026 Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement MIDL 2026 Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification WACV 2026 Learning What Helps: Task-Aligned Context Selection for Vision Tasks CVPR 2026 Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients WACV 2026 OxEnsemble: Fair Ensembles for Low-Data Classification MIDL 2026 PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage MIDL 2026 QAPNet: A Quantum-Attentive Patchwise Network for Robust Medical Image Classification Under Noisy Inputs AAAI 2026 Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification CVPR 2026 Simplex-Aligned Diffusion with Cross-Granularity Interaction for Robust Medical Image Classification MIDL 2026 TopoCL: Topological Contrastive Learning for Medical Imaging CVPR 2026 UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets WACV 2026 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025 A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning IJCAI 2025 BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models CVPR 2025 ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalizatio WACV 2025 Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free MIDL 2025 Empirical Analysis of Scaling Vision Foundation Models for Chest X-rays MIDL 2025 Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation CVPR 2025 KPL: Training-Free Medical Knowledge Mining of Vision-Language Models AAAI 2025 Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading AAAI 2025 MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification CVPR 2025 MVP-CBM: Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification IJCAI 2025 Ordinal Multiple-Instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer WACV 2025