MICCAI 2026 (Oral) (Conference Paper)
OmniVision-3D: Self-Supervised 3D Vision Transformers for Zero-Shot Volumetric Tumor Detection
Authors & Research Affiliations
Dr. Sarah Chen, Alex Rivera, Prof. Michael Zhang, Dr. Elena Rostova
MedVis AI Research Laboratory, Department of Computer Science & Medical Imaging
Abstract / Summary
We propose OmniVision-3D, a self-supervised foundation model trained on over 50,000 unannotated 3D CT/MRI scans for zero-shot volumetric tumor detection.
Citation (BibTeX)
@article{pub7,
title={ OmniVision-3D: Self-Supervised 3D Vision Transformers for Zero-Shot Volumetric Tumor Detection },
author={ Dr. Sarah Chen, Alex Rivera, Prof. Michael Zhang, Dr. Elena Rostova },
journal={ MICCAI 2026 (Oral) },
year={ 2026 },
doi={ https://doi.org/10.1007/s11548-026-001 }
}