medical imaging

960 papers

Explore in graph

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

MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation AAAI 2023

MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis AAAI 2023

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses ACL 2023

Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images CVPR 2023

Indescribable Multi-Modal Spatial Evaluator CVPR 2023

Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy CVPR 2023

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images CVPR 2023

Neuralizer: General Neuroimage Analysis Without Re-Training CVPR 2023

Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy CVPR 2023

RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction CVPR 2023

Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training CVPR 2023

Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Bone Shape Reconstruction NIPS 2023

NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation NIPS 2023

The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification NIPS 2023

INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms NIPS 2023

Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning NIPS 2023

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images NIPS 2023

Text Promptable Surgical Instrument Segmentation with Vision-Language Models NIPS 2023

Reproducibility of the Methods in Medical Imaging with Deep Learning. MIDL 2023

Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes MIDL 2023

Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals MIDL 2023

Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023

Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime MIDL 2023

Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors MIDL 2023

A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images MIDL 2023