1. Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention Networks. (13th August 2021) Authors: Qiu, Defu; Cheng, Yuhu; Wang, Xuesong Other Names: Wong Kelvin Academic Editor. Journal: Computational and mathematical methods in medicine Issue: Volume 2021(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Channel attention generative adversarial network for super-resolution of glioma magnetic resonance image. (February 2023) Authors: Song, Zhaoyang; Qiu, Defu; Zhao, Xiaoqiang; Lin, Dongmei; Hui, Yongyong Journal: Computer methods and programs in biomedicine Issue: Volume 229(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Dual U-Net residual networks for cardiac magnetic resonance images super-resolution. (May 2022) Authors: Qiu, Defu; Cheng, Yuhu; Wang, Xuesong Journal: Computer methods and programs in biomedicine Issue: Volume 218(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. End-to-end residual attention mechanism for cataractous retinal image dehazing. (June 2022) Authors: Qiu, Defu; Cheng, Yuhu; Wang, Xuesong Journal: Computer methods and programs in biomedicine Issue: Volume 219(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Gradual back-projection residual attention network for magnetic resonance image super-resolution. (September 2021) Authors: Qiu, Defu; Cheng, Yuhu; Wang, Xuesong Journal: Computer methods and programs in biomedicine Issue: Volume 208(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Improved generative adversarial network for retinal image super-resolution. (October 2022) Authors: Qiu, Defu; Cheng, Yuhu; Wang, Xuesong Journal: Computer methods and programs in biomedicine Issue: Volume 225(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Multi-window back-projection residual networks for reconstructing COVID-19 CT super-resolution images. (March 2021) Authors: Qiu, Defu; Cheng, Yuhu; Wang, Xuesong; Zhang, Xiaoqiang Journal: Computer methods and programs in biomedicine Issue: Volume 200(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Progressive U-Net residual network for computed tomography images super-resolution in the screening of COVID-19. Issue 1 (1st January 2021) Authors: Qiu, Defu; Cheng, Yuhu; Wang, Xuesong Journal: Journal of Radiation Research and Applied Sciences Issue: Volume 14:Issue 1(2021) Page Start: 369 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Progressive U-Net residual network for computed tomography images super-resolution in the screening of COVID-19. Issue 1 (December 2021) Authors: Qiu, Defu; Cheng, Yuhu; Wang, Xuesong Journal: Journal of Radiation Research and Applied Sciences Issue: Volume 14:Issue 1(2021) Page Start: 369 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Residual dense network for medical magnetic resonance images super-resolution. (September 2021) Authors: Zhu, Dongmei; Qiu, Defu Journal: Computer methods and programs in biomedicine Issue: Volume 209(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗