OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Deep Learning in Kidney Ultrasound: Overview, Frontiers, and Challenges
Hector J. De Jesus-Rodriguez, Matthew A. Morgan, Hersh Sagreiya
Advances in Chronic Kidney Disease (2021) Vol. 28, Iss. 3, pp. 262-269
Closed Access | Times Cited: 8
Hector J. De Jesus-Rodriguez, Matthew A. Morgan, Hersh Sagreiya
Advances in Chronic Kidney Disease (2021) Vol. 28, Iss. 3, pp. 262-269
Closed Access | Times Cited: 8
Showing 8 citing articles:
Imaging-based deep learning in kidney diseases: recent progress and future prospects
Meng Zhang, Zheng Ye, Enyu Yuan, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Meng Zhang, Zheng Ye, Enyu Yuan, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Pilot study of using machine learning to detect atherosclerotic renal artery stenosis from spectral doppler waveforms
Haseeb Mukhtar, Seyed Moein Rassoulinejad-Mousavi, Shahriar Faghani, et al.
Kidney International Reports (2025)
Open Access
Haseeb Mukhtar, Seyed Moein Rassoulinejad-Mousavi, Shahriar Faghani, et al.
Kidney International Reports (2025)
Open Access
Recent Advances in Machine Learning Applied to Ultrasound Imaging
Monica Micucci, Antonio Iula
Electronics (2022) Vol. 11, Iss. 11, pp. 1800-1800
Open Access | Times Cited: 22
Monica Micucci, Antonio Iula
Electronics (2022) Vol. 11, Iss. 11, pp. 1800-1800
Open Access | Times Cited: 22
Automatic Screening of Pediatric Renal Ultrasound Abnormalities: Deep Learning and Transfer Learning Approach
Ming-Chin Tsai, Henry Horng‐Shing Lu, Yueh-Chuan Chang, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 11, pp. e40878-e40878
Open Access | Times Cited: 9
Ming-Chin Tsai, Henry Horng‐Shing Lu, Yueh-Chuan Chang, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 11, pp. e40878-e40878
Open Access | Times Cited: 9
A novel clinical−radiomic nomogram for the crescent status in IgA nephropathy
Xiachuan Qin, Linlin Xia, Xiaomin Hu, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 4
Xiachuan Qin, Linlin Xia, Xiaomin Hu, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 4
MLAU-Net: Deep supervised attention and hybrid loss strategies for enhanced segmentation of low-resolution kidney ultrasound
Rashid Khan, Asim Zaman, Chao Chen, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Rashid Khan, Asim Zaman, Chao Chen, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
A deep learning method for kidney segmentation in 2D ultrasound images
Simao Valente, Pedro Morais, Helena R. Torres, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3911-3914
Closed Access | Times Cited: 6
Simao Valente, Pedro Morais, Helena R. Torres, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3911-3914
Closed Access | Times Cited: 6
Prediction of Kidney Transplant Function with Machine Learning from Computational Ultrasound Features
Ricky Hu, Rohit Singla, Cailin Ringstrom, et al.
Lecture notes in computer science (2022), pp. 34-43
Closed Access
Ricky Hu, Rohit Singla, Cailin Ringstrom, et al.
Lecture notes in computer science (2022), pp. 34-43
Closed Access
