Search Results for author:
Found 7 papers, 3 papers with code
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
Through multimodal learning on ECG records and associated reports, MERL is capable of performing zero-shot ECG classification with text prompts, eliminating the need for training data in downstream tasks.
T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training
This underlines T3D's potential in representation learning for 3D medical image analysis.
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
G2D achieves superior performance across 6 medical imaging tasks and 25 diseases, particularly in semantic segmentation, which necessitates fine-grained, semantically-grounded image features.
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training
The framework derives multi-level visual features from the chest X-ray (CXR) images and separately aligns these features with the descriptive and the conclusive text encoded in the hierarchical medical report.
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images
The advent of text-guided generative models raises a compelling question: Can VLP be implemented solely with synthetic images generated from genuine radiology reports, thereby mitigating the need for extensively pairing and curating image-text datasets?
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization
The proposed method, named Medical vision-language pre-training with Frozen language models and Latent spAce Geometry optimization (M-FLAG), leverages a frozen language model for training stability and efficiency and introduces a novel orthogonality loss to harmonize the latent space geometry.
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only
Chronic Pulmonary Aspergillosis (CPA) is a complex lung disease caused by infection with Aspergillus.
