4 papers · 1 filter
Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention
Joy Dhar, Manish Kumar Pandey, Nayyar Zaidi +4
Multimodal fusion learning (MFL) has shown great potential in the medical domain, where we are faced with disparate data modalities such as imaging, clinical records, and omics. Ho…
LoopExpose: An Unsupervised Framework for Arbitrary-Length Exposure Correction
Ao Li, Chen Chen, Zhenyu Wang +3
Exposure correction is essential for enhancing image quality under challenging lighting conditions. While supervised learning has achieved significant progress in this area, it rel…
SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality
Sijie Li, Chen Chen, Jungong Han
In this paper, we propose SimMLM, a simple yet powerful framework for multimodal learning with missing modalities. Unlike existing approaches that rely on sophisticated network arc…
MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment
Wenrui Fan, Mohammod N. I. Suvon, Shuo Zhou +6
Pathology and anatomy are two essential groups of semantics in medical data. Pathology describes what the diseases are, while anatomy explains where the diseases occur. They descri…