Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks

3 July 2023

Papers citing "Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks"

6 / 6 papers shown

Title
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey Andrea Prenner Bernhard Kainz 35 0 0 26 Sep 2024
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection Sergio Naval Marimont Vasilis Siomos Matthew Baugh Christos Tzelepis Bernhard Kainz G. Tarroni MedIm 34 3 0 09 Jul 2024
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays Zhichao Sun Yuliang Gu Yepeng Liu Zerui Zhang Zhou Zhao Yongchao Xu MedIm 87 2 0 20 May 2024
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection Ximiao Zhang Min Xu Dehui Qiu Ruixin Yan Ning Lang Xiuzhuang Zhou VLM MedIm 18 6 0 18 May 2024
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 20 3 0 26 Jun 2023
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 118 128 0 30 Sep 2021