A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring
cs.CV, cs.AI, cs.LG
Submitted: 2026-05-25
Updated: 2026-09-24
Code: https://github.com/AdinaScheinfeld/lsm_fm_public_repo
Terminology
Sources
- On the Opportunities and Risks of Foundation Models
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
- Distilling the Knowledge in a Neural Network
- Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
- DINOv2: Learning Robust Visual Features without Supervision
- The Llama 3 Herd of Models
- Deep Residual Learning for Image Recognition
- U-Net: Convolutional Networks for Biomedical Image Segmentation
- clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
- VERITAS: A Multi-Agent Co-Scientist for Verifiable Image-Derived Hypothesis Testing
- iBOT: Image BERT Pre-Training with Online Tokenizer
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