On the Pitfalls of Using the Residual Error as Anomaly Score

The multimodal brain tumor image segmentation benchmark (brats)

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Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

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Decoupled weight decay regularization

Original

I. Loshchilov and F. Hutter · 2017

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Unsupervised anomaly detection with generative adversarial networks to guide marker discovery

T. Schlegl, P. Seeböck, S. Waldstein, U. Schmidt-Erfurth, and G. Langs · 2017

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Unsupervised detection of lesions in brain mri using constrained adversarial auto-encoders

X. Chen and E. Konukoglu · 2018

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A novel public mr image dataset of multiple sclerosis patients with lesion segmentations based on multi-rater consensus

Z. Lesjak, A. Galimzianova, A. Koren, M. Lukin, F. Pernuš, B. Likar, and Z. Spiclin · 2018

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Unsupervised lesion detection in brain ct using bayesian convolutional autoencoders

N. Pawlowski, M. C.H. Lee, M. Rajchl, S. McDonagh, E. Ferrante, K. Kamnitsas, S. Cooke, S. Stevenson, A. Khetani, T. Newman, and et al · 2018

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Unsupervised brain lesion segmentation from mri using a convolutional autoencoder

H. E. Atlason, A. Love, S. Sigurdsson, V. Gudnason, and L. M. Ellingsen · 2019

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Deep autoencoding models for unsupervised anomaly segmentation in brain mr images

C. Baur, B. Wiestler, S. Albarqouni, and N. Navab · 2019

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Mvtec ad — a comprehensive real-world dataset for unsupervised anomaly detection

P. Bergmann, M. Fauser, D. Sattlegger, and C. Steger · 2019

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Standardized assessment of automatic segmentation of white matter hyperintensities and results of the wmh segmentation challenge

H. J. Kuijf, A. Casamitjana, D. L. Collins, M. Dadar, A. Georgiou, M. Ghafoorian, D. Jin, A. Khademi, J. Knight, H. Li, and et al · 2019

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Pytorch: An imperative style, high-performance deep learning library

A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, and L. et al · 2019

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Generating Diverse High-Fidelity Images with VQ-VAE-2

A. Razavi, A. van den Oord, and O. Vinyals · 2019

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Unsupervised lesion detection via image restoration with a normative prior

S. You, K. Tezcan, X. Chen, and E. Konukoglu · 2019

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Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings

P. Bergmann, M. Fauser, D. Sattlegger, and C. Steger · 2020

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Detecting outliers with foreign patch interpolation

Original

J. Tan, B. Hou, J. Batten, H. Qiu, and B. Kainz · 2020

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Medical out-of-distribution analysis challenge, March 2020

D. Zimmerer, J. Petersen, G. Köhler, P. Jäger, P. Full, T. Roß, T. Adler, A. Reinke, L. Maier-Hein, and K. Maier-Hein · 2020

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Challenging current semi-supervised anomaly segmentation methods for brain mri

Original

F. Meissen, G. Kaissis, and D. Rueckert · 2021

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Patch vs. global image-based unsupervised anomaly detection in mr brain scans of early parkinsonian patients

V. Muñoz-Ramírez, N. Pinon, F. Forbes, C. Lartizen, and M. Dojat · 2021