Unsupervised Brain Anomaly Detection and Segmentation with Transformers

Unsupervised Brain Anomaly Detection and Segmentation with Transformers

23 February 2021

Petru-Daniel Tudosiu

Sebastien Ourselin

M. Jorge Cardoso

Papers citing "Unsupervised Brain Anomaly Detection and Segmentation with Transformers"

8 / 8 papers shown

Title
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection Ashay Patel Petru-Daniel Tudosiu W. H. Pinaya G. Cook Vicky Goh Sebastien Ourselin M. Jorge Cardoso OOD ViT MedIm 28 11 0 14 Apr 2023
Pretrained ViTs Yield Versatile Representations For Medical Images Christos Matsoukas Johan Fredin Haslum Magnus P Soderberg Kevin Smith MedIm ViT 27 11 0 13 Mar 2023
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 29 0 0 27 Jun 2022
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis Simon Dahan Abdulah Fawaz Logan Z. J. Williams Chunhui Yang Timothy S. Coalson M. Glasser A. Edwards Daniel Rueckert E. C. Robinson MedIm ViT 40 20 0 30 Mar 2022
Diffusion Models for Medical Anomaly Detection J. Wolleb Florentin Bieder Robin Sandkühler Philippe C. Cattin MedIm DiffM 39 262 0 08 Mar 2022
On the Pitfalls of Using the Residual Error as Anomaly Score Felix Meissen Benedikt Wiestler Georgios Kaissis Daniel Rueckert UQCV 29 11 0 08 Feb 2022
AutoSeg -- Steering the Inductive Biases for Automatic Pathology Segmentation Felix Meissen Georgios Kaissis Daniel Rueckert UQCV 25 3 0 24 Jan 2022
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis Christoph Berger Magdalini Paschali Ben Glocker Konstantinos Kamnitsas OOD 35 42 0 06 Jul 2021