4 papers
Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI
Keqiang Fan, Xiaohao Cai, Mahesan Niranjan
Diffusion probabilistic models (DPMs) have exhibited significant effectiveness in computer vision tasks, particularly in image generation. However, their notable performance heavil…
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging
Keqiang Fan, Xiaohao Cai, Mahesan Niranjan
Unlike typical visual scene recognition domains, in which massive datasets are accessible to deep neural networks, medical image interpretations are often obstructed by the paucity…
IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer
Keqiang Fan, Xiaohao Cai, Mahesan Niranjan
Automated medical report generation has become increasingly important in medical analysis. It can produce computer-aided diagnosis descriptions and thus significantly alleviate the…
Few-shot Learning for Inference in Medical Imaging with Subspace Feature Representations
Jiahui Liu, Keqiang Fan, Xiaohao Cai +1
Unlike the field of visual scene recognition where tremendous advances have taken place due to the availability of very large datasets to train deep neural networks, inference from…