Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly
Detection

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

15 March 2023

Cosmin I. Bercea

Benedikt Wiestler

Daniel Rueckert

Papers citing "Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection"

15 / 15 papers shown

Title
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey Siteng Ma Honghui Du Yu An Jing Wang Qinqin Wang Haochang Wu Aonghus Lawlor Ruihai Dong 34 0 0 15 Apr 2025
Denoising Diffusion Models for Anomaly Localization in Medical Images Cosmin I. Bercea P. Cattin Julia A. Schnabel J. Wolleb DiffM MedIm 36 0 0 31 Oct 2024
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations Sameer Ambekar Julia A. Schnabel Cosmin Bereca MedIm OOD 34 0 0 04 Oct 2024
Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models Jordi Malé Juan Fortea Mateus Rozalem Aranha Yann Heuzé Neus Martínez-Abadías Xavier Sevillano DiffM 24 1 0 20 Sep 2024
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection F. Behrendt Debayan Bhattacharya R. Mieling Lennart Maack Julia Kruger R. Opfer Alexander Schlaefer 33 2 0 17 Jul 2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 39 5 0 30 May 2024
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image Zerui Zhang Zhichao Sun Zelong Liu Bo Du Rui Yu Zhou Zhao Yongchao Xu GAN MedIm 33 3 0 21 May 2024
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET Ravi Hassanaly Camille Brianceau Maelys Solal O. Colliot Ninon Burgos MedIm 30 5 0 29 Jan 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 14 10 0 07 Dec 2023
Unsupervised Anomaly Detection using Aggregated Normative Diffusion Alexander Frötscher J. Kapoor T. Wolfers Christian F. Baumgartner DiffM MedIm 17 1 0 04 Dec 2023
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection Sergio Naval Marimont Matthew Baugh Vasilis Siomos Christos Tzelepis Bernhard Kainz G. Tarroni DiffM MedIm 27 6 0 26 Nov 2023
Weakly Supervised Anomaly Detection for Chest X-Ray Image Haoqi Ni Ximiao Zhang Min Xu Ning Lang Xiuzhuang Zhou 23 0 0 16 Nov 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images Alessandro Fontanella Grant Mair Joanna M. Wardlaw Emanuele Trucco Amos Storkey DiffM MedIm 21 21 0 03 Aug 2023
Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models Cosmin I. Bercea Michaela Neumayr Daniel Rueckert J. Schnabel DiffM MedIm 17 34 0 31 May 2023
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 35 354 0 14 Nov 2022