Design Choices for Multimodal Transformer Learning with Missing and Longitudinal Healthcare Data
cs.LG, cs.CV
Submitted: 2026-10-10
Updated: 2026-10-10
Terminology
Sources
- SMIL: Multimodal Learning with Severely Missing Modality
- Attention Is All You Need
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Toward a Theory of Tokenization in LLMs
- Revisiting Deep Learning Models for Tabular Data
- Are Multimodal Transformers Robust to Missing Modality?
- A multimodal and temporal foundation model for virtual patient representations at healthcare system scale
- NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting
- Multimodal Whole Slide Foundation Model for Pathology
- MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks
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