Unsupervised 3D out-of-distribution detection with latent diffusion models

1 code implementation • 7 Jul 2023 • Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, H. Rolf Jäger, David Werring, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

We validate the proposed approach on near- and far-OOD datasets and compare it to a recently proposed, 3D-enabled approach using Latent Transformer Models (LTMs).

Denoising Out-of-Distribution Detection +1

VTrails: Inferring Vessels with Geodesic Connectivity Trees

no code implementations • 8 Jun 2018 • Stefano Moriconi, Maria A. Zuluaga, H. Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

The analysis of vessel morphology and connectivity has an impact on a number of cardiovascular and neurovascular applications by providing patient-specific high-level quantitative features such as spatial location, direction and scale.

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects

no code implementations • 21 Dec 2018 • Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Lorna Smith, H. Rolf Jäger, M. Jorge Cardoso

Extremely small objects (ESO) have become observable on clinical routine magnetic resonance imaging acquisitions, thanks to a reduction in acquisition time at higher resolution.

Individualized prescriptive inference in ischaemic stroke

no code implementations • 25 Jan 2023 • Dominic Giles, Robert Gray, Chris Foulon, Guilherme Pombo, Tianbo Xu, H. Rolf Jäger, Jorge Cardoso, Sebastien Ourselin, Geraint Rees, Ashwani Jha, Parashkev Nachev

The gold standard in the treatment of ischaemic stroke is set by evidence from randomized controlled trials.

counterfactual