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Found 5 papers, 2 papers with code
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
We demonstrate that this ensembling strategy can enhance the performance of DMs and mitigate the sensitivity to different kernel sizes across varying pathologies, highlighting its promise for brain MRI anomaly detection.
A Modified da Vinci Surgical Instrument for OCE based Elasticity Estimation with Deep Learning
We propose modifying a da~Vinci surgical instrument to realize optical coherence elastography (OCE) for quantitative elasticity estimation.
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
Using our proposed conditioning mechanism we can reduce the false-positive predictions and enable a more precise delineation of anomalies which significantly enhances the anomaly detection performance compared to established state-of-the-art approaches to unsupervised anomaly detection in brain MRI.
Collaborative Robotic Biopsy with Trajectory Guidance and Needle Tip Force Feedback
Robotic trajectory guidance has been shown to improve needle positioning, but feedback for real-time navigation is limited.
A novel optical needle probe for deep learning-based tissue elasticity characterization
The distinction between malignant and benign tumors is essential to the treatment of cancer.
