Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI
Anomaly Detection

Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

17 July 2024

Debayan Bhattacharya

Alexander Schlaefer

Papers citing "Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection"

9 / 9 papers shown

Title
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs F. Behrendt Debayan Bhattacharya R. Mieling Lennart Maack Julia Kruger R. Opfer Alexander Schlaefer DiffM MedIm 71 10 0 07 Dec 2023
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection Cosmin I. Bercea Benedikt Wiestler Daniel Rueckert Julia A. Schnabel DiffM MedIm 66 19 0 15 Mar 2023
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art I. Lagogiannis Felix Meissen Georgios Kaissis Daniel Rueckert OOD 109 19 0 01 Mar 2023
Unsupervised Anomaly Localization with Structural Feature-Autoencoders Felix Meissen Johannes C. Paetzold Georgios Kaissis Daniel Rueckert MedIm 39 16 0 23 Aug 2022
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models W. H. Pinaya M. Graham Robert J. Gray P. F. D. Costa Petru-Daniel Tudosiu ... D. Werring Geraint Rees P. Nachev Sebastien Ourselin M. Jorge Cardoso DiffM MedIm 59 105 0 07 Jun 2022
On the Pitfalls of Using the Residual Error as Anomaly Score Felix Meissen Benedikt Wiestler Georgios Kaissis Daniel Rueckert UQCV 54 12 0 08 Feb 2022
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification Ujjwal Baid S. Ghodasara S. Mohan Michel Bilello Evan Calabrese ... M. Weber A. Mahajan Bjoern Menze Adam Flanders Spyridon Bakas 136 632 0 05 Jul 2021
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 100 1,633 0 25 Nov 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015

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