medical imaging

Efficient Medical Images Text Detection with Vision-Language Pre-training Approach ACML 2023 EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images NeurIPS 2023 Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation ICCV 2023 Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023 Expert-Defined Keywords Improve Interpretability of Retinal Image Captioning WACV 2023 Explainable Brain Age Prediction using coVariance Neural Networks NeurIPS 2023 FedFA: Federated Feature Augmentation ICLR 2023 Fine-grained Medical Vision-Language Representation Learning for Radiology Report Generation EMNLP 2023 Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data AISTATS 2023 Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy CVPR 2023 Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training CVPR 2023 GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency CVPR 2023 Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning ICCV 2023 Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy CVPR 2023 HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks WACV 2023 Human-Centred Multimodal Deep Learning Models for Chest X-Ray Diagnosis IJCAI 2023 HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image AAAI 2023 Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding CVPR 2023 Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models ICCV 2023 Improving Radiology Summarization with Radiograph and Anatomy Prompts ACL 2023 Improving Representation Learning for Histopathologic Images with Cluster Constraints ICCV 2023 Indescribable Multi-Modal Spatial Evaluator CVPR 2023 Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation MIDL 2023 Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals MIDL 2023 INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms NeurIPS 2023