Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images

5 July 2022

Papers citing "Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images"

6 / 6 papers shown

Title
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars W. Feng Lingting Zhu Lequan Yu MedIm 12 19 0 27 Aug 2023
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,604 0 24 Feb 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention Irwan Bello 260 178 0 17 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 198 883 0 16 Feb 2021
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction Changhee Han L. Rundo K. Murao T. Noguchi Yuki Shimahara Z. '. Milacski S. Koshino Evis Sala Hideki Nakayama Shinichi Satoh MedIm 86 159 0 24 Jul 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016