ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis-Reference-Cited by-同舟云学术

ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis

Published:2022-10 Issue:10 Volume:41 Page:2598-2614
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Dalmaz Onat¹^ORCID,Yurt Mahmut¹,Cukur Tolga²^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey

2. Department of Electrical and Electronics Engineering, Neuroscience Program, Sabuncu Brain Research Center, and the National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey

Funder

Scientific and Technological Research Council of Turkey BIDEB Scholarship

Turkish Academy of Sciences GEBIP 2015 Fellowship

Science Academy BAGEP 2017 Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9906463/09758823.pdf?arnumber=9758823

Reference108 articles.

1. Synthesizing Multi-Contrast MR Images Via Novel 3D Conditional Variational Auto-Encoding GAN

2. mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis

3. MedGAN: Medical image translation using GANs

4. Medical Image Synthesis with Deep Convolutional Adversarial Networks

5. 3D cGAN based cross-modality MR image synthesis for brain tumor segmentation

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