← Domain-Specific
Computer Vision › Domain-Specific ›

Medical Imaging

1931 directly classified papers

Papers per year

Papers

A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency AAAI 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning NIPS 2024
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability AAAI 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
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation CVPR 2024
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation AAAI 2024
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models CVPR 2024
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration CVPR 2024
ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images CVPR 2024
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration CVPR 2024
Rotation-Agnostic Image Representation Learning for Digital Pathology CVPR 2024
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data AISTATS 2024
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images AAAI 2024
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification CVPR 2024
Equivariant Multi-Modality Image Fusion CVPR 2024
Generalizing to Unseen Domains in Diabetic Retinopathy Classification WACV 2024
Unsupervised Deep Unrolling Networks for Phase Unwrapping CVPR 2024
FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders CVPR 2024
I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses WACV 2024
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation AISTATS 2024
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection AAAI 2024
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology CVPR 2024
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning CVPR 2024
From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation WACV 2024