3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information

v1v2v3 (latest)

3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information

12 October 2024

ArXiv (abs)PDF HTML

Papers citing "3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information"

6 / 6 papers shown

Title
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 126 1,153 0 04 Jan 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Yucheng Tang Dong Yang Wenqi Li H. Roth Bennett Landman Daguang Xu V. Nath Ali Hatamizadeh ViT MedIm 153 536 0 29 Nov 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 483 21,656 0 25 Mar 2021
Deep Learning Inversion of Electrical Resistivity Data Bin Liu Qian Guo Shucai Li Benchao Liu Yuxiao Ren Yonghao Pang Xu Guo Lanbo Liu Peng-Tao Jiang 32 146 0 10 Apr 2019
Deep learning electromagnetic inversion with convolutional neural networks V. Puzyrev AI4CE 44 197 0 26 Dec 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 881 132,963 0 12 Jun 2017