Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation

8 February 2023

Papers citing "Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation"

6 / 6 papers shown

Title
Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images Yik San Cheng Runkai Zhao Heng Wang Hanchuan Peng Weidong Cai ViT 21 1 0 04 May 2024
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training Zhixiu Lu Hailong Li N. Parikh Jonathan R. Dillman Lili He MedIm VLM 40 0 0 15 Mar 2024
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks Lingxiao Luo Xuanzhong Chen Bingda Tang Xinsheng Chen Rong Han Chengpeng Hu Yujiang Li Ting Chen MedIm 26 2 0 12 Dec 2023
Leveraging Pre-trained AudioLDM for Text to Sound Generation: A Benchmark Study Yiitan Yuan Haohe Liu Jinhua Liang Xubo Liu Mark D. Plumbley Wenwu Wang 27 0 0 07 Mar 2023
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 95 174 0 15 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 341 5,785 0 29 Apr 2021