medical imaging

960 papers

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Also known as

MRI

Co-occurring keywords

semantic segmentation (3179) image segmentation (962) multimodal learning (4622) self-supervised learning (3751) domain adaptation (4578) convolutional neural network (4216) chest x-ray (110) deep learning (2111) contrastive learning (3979) vision-language model (2235)

Papers

SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024

A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI IJCAI 2024

Double InfoGAN for Contrastive Analysis AISTATS 2024

From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching IJCAI 2024

TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability IJCAI 2024

Automatic Radiology Reports Generation via Memory Alignment Network AAAI 2024

Unsupervised Domain Adaptation of MRI Skull-Stripping Trained on Adult Data to Newborns WACV 2024

Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction AAAI 2024

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024

Bootstrapping Large Language Models for Radiology Report Generation AAAI 2024

Novel Class Discovery in Chest X-rays via Paired Images and Text AAAI 2024

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency AAAI 2024

TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis NAACL 2024

Targeted Activation Penalties Help CNNs Ignore Spurious Signals AAAI 2024

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NIPS 2024

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization NIPS 2024

Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation NIPS 2024

Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification AAAI 2024

LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration WACV 2024

DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction NIPS 2024

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays NIPS 2024

SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology WACV 2024

DR10K: Transfer Learning Using Weak Labels for Grading Diabetic Retinopathy on DR10K Dataset WACV 2024

PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology AAAI 2024

ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images CVPR 2024