Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

7 April 2020

Benedikt Wiestler

Nassir Navab

Papers citing "Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study"

44 / 44 papers shown

Title
GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models Daria Zotova Nicolas Pinon Robin Trombetta R. Bouet Julien Jung Carole Lartizien MedIm 38 0 0 12 May 2025
Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation Alessia Hu Regina Beets-Tan Lishan Cai Eduardo Pooch 47 0 0 30 Apr 2025
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection Farzad Beizaee Gregory A. Lodygensky Christian Desrosiers Jose Dolz DiffM MedIm 44 0 0 24 Feb 2025
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus Debayan Bhattacharya F. Behrendt B. Becker Lennart Maack Dirk Beyersdorff ... B. Cheng D. Eggert C. Betz A. Hoffmann Alexander Schlaefer SSL 31 0 0 29 Apr 2024
Quantum Patch-Based Autoencoder for Anomaly Segmentation Maria Francisca Madeira Alessandro Poggiali Jeanette Miriam Lorenz 31 0 0 26 Apr 2024
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective Yu Cai Hao Chen Kwang-Ting Cheng MedIm 21 9 0 14 Mar 2024
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 25 10 0 07 Dec 2023
Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET Maelys Solal Ravi Hassanaly Ninon Burgos 40 2 0 20 Nov 2023
Towards frugal unsupervised detection of subtle abnormalities in medical imaging Geoffroy Oudoumanessah Carole Lartizien M. Dojat Florence Forbes MedIm 25 2 0 04 Sep 2023
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI Ziyun Liang Harry Anthony Felix Wagner Konstantinos Kamnitsas DiffM MedIm 27 9 0 30 Aug 2023
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection Yunkang Cao Xiaohao Xu Chen Sun Y. Cheng Liang Gao Weiming Shen 47 1 0 15 Jun 2023
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model H. Iqbal Umar Khalid Jing Hua Chong Chen DiffM MedIm 41 25 0 31 May 2023
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection M. Astaraki F. Benetti Yousef Yeganeh I. Toma-Dasu Orjan Smedby Chunliang Wang Nassir Navab T. Wendler 20 6 0 21 May 2023
Segment Any Anomaly without Training via Hybrid Prompt Regularization Yunkang Cao Xiaohao Xu Chen Sun Y. Cheng Zongwei Du Liang Gao Weiming Shen VLM 37 71 0 18 May 2023
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities Nicolas Pinon Robin Trombetta Carole Lartizien 14 3 0 17 Apr 2023
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
Unsupervised Brain Tumor Segmentation with Image-based Prompts Xinru Zhang N. Ou Chenghao Liu Z. Zhuo Yao Liu Chuyang Ye VLM 27 2 0 04 Apr 2023
Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patients Nicolas Pinon Geoffroy Oudoumanessah Robin Trombetta M. Dojat Florence Forbes Carole Lartizien 19 6 0 27 Feb 2023
Position Regression for Unsupervised Anomaly Detection Florentin Bieder J. Wolleb Robin Sandkühler Philippe C. Cattin OOD 25 1 0 19 Jan 2023
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI Ayantika Das Arun Palla Keerthi Ram M. Sivaprakasam OOD 21 1 0 28 Nov 2022
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection Rebeca Vétil Clément Abi-Nader Alexandre Bône M. Vullierme Marc-Michel Rohé Pietro Gori Isabelle Bloch 21 2 0 21 Oct 2022
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness Adrian Galdran G. Carneiro M. A. G. Ballester OOD 26 17 0 13 Sep 2022
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods Matthew Baugh Jeremy Tan Athanasios Vlontzos Johanna P. Müller Bernhard Kainz OOD 24 2 0 02 Sep 2022
Unsupervised Anomaly Localization with Structural Feature-Autoencoders Felix Meissen Johannes C. Paetzold Georgios Kaissis Daniel Rueckert MedIm 19 15 0 23 Aug 2022
AFSC: Adaptive Fourier Space Compression for Anomaly Detection Haote Xu Yunlong Zhang Liyan Sun Chenxin Li Yue Huang Xinghao Ding MedIm 33 11 0 17 Apr 2022
Constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 18 23 0 03 Mar 2022
Data refinement for fully unsupervised visual inspection using pre-trained networks Antoine Cordier Benjamin Missaoui Pierre Gutierrez 37 5 0 25 Feb 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
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction M. Bengs F. Behrendt M. Laves Julia Kruger R. Opfer Alexander Schlaefer MedIm 27 9 0 31 Jan 2022
AutoSeg -- Steering the Inductive Biases for Automatic Pathology Segmentation Felix Meissen Georgios Kaissis Daniel Rueckert UQCV 30 3 0 24 Jan 2022
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly Detection Weiyao Wang Aniruddha Tamhane Christine Santos J. Rzasa James H Clark Therese L. Canares Mathias Unberath 32 4 0 25 Oct 2021
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI M. Bengs F. Behrendt Julia Kruger R. Opfer Alexander Schlaefer 22 2 0 14 Sep 2021
Self-supervised Tumor Segmentation through Layer Decomposition Xiaoman Zhang Weidi Xie Chaoqin Huang Yanfeng Wang Ya Zhang Xin Chen Qi Tian 29 6 0 07 Sep 2021
Looking at the whole picture: constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 27 5 0 01 Sep 2021
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis Christoph Berger Magdalini Paschali Ben Glocker Konstantinos Kamnitsas OOD 43 42 0 06 Jul 2021
Implicit field learning for unsupervised anomaly detection in medical images Sergio Naval Marimont G. Tarroni 34 27 0 09 Jun 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection Pierre Gutierrez Antoine Cordier Thais Caldeira Théophile Sautory 20 4 0 02 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 574 0 27 May 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Shing Moon Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum S. Honari Roland Siegwart Pascal Fua Mathieu Salzmann Matthias Rottmann UQCV 24 136 0 30 Apr 2021
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection John Taylor Jewell Vahid Reza Khazaie Y. Mohsenzadeh 19 27 0 27 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 36 53 0 09 Mar 2021
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods H. Zhang I. Oguz 30 14 0 12 Dec 2020
Self-Supervised Out-of-Distribution Detection in Brain CT Scans Abinav Ravi Venkatakrishnan S. T. Kim R. Eisawy Franz MJ Pfister Nassir Navab OOD 24 22 0 10 Nov 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,712 0 18 Mar 2020