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Medical Imaging

1931 directly classified papers

Papers per year

Papers

ACE: Anatomically Consistent Embeddings in Composition and Decomposition WACV 2025
NCAdapt: Dynamic Adaptation with Domain-Specific Neural Cellular Automata for Continual Hippocampus Segmentation WACV 2025
Multimodal Interpretable Depression Analysis using Visual Physiological Audio and Textual Data WACV 2025
Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM WACV 2025
AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution WACV 2025
GDKVM: Echocardiography Video Segmentation via Spatiotemporal Key-Value Memory with Gated Delta Rule ICCV 2025
Flow-MIL: Constructing Highly-expressive Latent Feature Space For Whole Slide Image Classification Using Normalizing Flow ICCV 2025
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning AAAI 2025
Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation IJCAI 2025
CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation IJCAI 2025
WeaveSeg: Iterative Contrast-weaving and Spectral Feature-refining for Nuclei Instance Segmentation ICCV 2025
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models AAAI 2025
Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation AAAI 2025
GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation AAAI 2025
TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model AAAI 2025
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking AAAI 2025
MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP IJCAI 2025
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images AAAI 2025
R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration AAAI 2025
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation AAAI 2025
CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor Segmentation CVPR 2025
Multi-modal Medical Diagnosis via Large-small Model Collaboration CVPR 2025
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation AAAI 2025
Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation IJCAI 2025
Unlocking Dark Vision Potential for Medical Image Segmentation IJCAI 2025