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Medical Imaging

989 directly classified papers

Papers per year

Papers

RadGPT: Constructing 3D Image-Text Tumor Datasets ICCV 2025
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology ICCV 2025
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI CVPR 2024
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images CVPR 2024
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI NIPS 2024
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation WACV 2024
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation NIPS 2024
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data CVPR 2024
FATE: Feature-Agnostic Transformer-Based Encoder for Learning Generalized Embedding Spaces in Flow Cytometry Data WACV 2024
AFTer-SAM: Adapting SAM With Axial Fusion Transformer for Medical Imaging Segmentation WACV 2024
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics NIPS 2024
Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition WACV 2024
Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images WACV 2024
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation WACV 2024
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise AAAI 2024
HDformer: A Higher-Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals AAAI 2024
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting AAAI 2024
Learning Quality Labels for Robust Image Classification WACV 2024
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement WACV 2024
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation WACV 2024
PHG-Net: Persistent Homology Guided Medical Image Classification WACV 2024
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning CVPR 2024
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity CVPR 2024
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction CVPR 2024
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation CVPR 2024