collaborators

7 papers

physics.ins-det2026

Optical Characterization Measurements of Commercial Polyvinyltoluene Scintillators for Accurate Geant4 Detector Modeling

Fergus Martin Huggins, Micah S. Johnson, Matthew Quinn Buckner

Accurate Monte Carlo simulation of plastic scintillator detectors requires precise wavelength-dependent optical properties. We present the first comprehensive measurements of wavel…

cs.CV2026

Vertical Fusion: Condensing Internal Representations for Robust ViT Classification

Francesco Di Salvo, Shyam Nandan Rai, Hamed Damirchi +4

Despite exposing rich intermediate representations, Vision Transformers (ViTs) are almost exclusively utilized as black-box feature extractors, where only the last layer is conside…

cs.CV2026

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

Francesco Di Salvo, Sebastian Doerrich, Christian Ledig

Foundation models provide highly descriptive representations for medical images, yet their reliability degrades under distribution shifts arising from changes in patients, devices,…

cs.CV2026

HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis

Francesco Di Salvo, Sebastian Doerrich, Jonas Alle +1

Robust generalization beyond training distributions remains a critical challenge for deep neural networks. This is especially pronounced in medical image analysis, where data is of…

cs.CV2026

Stylizing ViT: Anatomy-Preserving Instance Style Transfer for Domain Generalization

Sebastian Doerrich, Francesco Di Salvo, Jonas Alle +1

Deep learning models in medical image analysis often struggle with generalizability across domains and demographic groups due to data heterogeneity and scarcity. Traditional augmen…

cs.CV2025

An Embedding is Worth a Thousand Noisy Labels

Francesco Di Salvo, Sebastian Doerrich, Ines Rieger +1

The performance of deep neural networks scales with dataset size and label quality, rendering the efficient mitigation of low-quality data annotations crucial for building robust a…