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 Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective
Nayereh Ghazi, Mohammad Hadi Aarabi, Hamid Soltanian‐Zadeh
Neuroinformatics (2023) Vol. 21, Iss. 3, pp. 517-548
Closed Access | Times Cited: 8
Nayereh Ghazi, Mohammad Hadi Aarabi, Hamid Soltanian‐Zadeh
Neuroinformatics (2023) Vol. 21, Iss. 3, pp. 517-548
Closed Access | Times Cited: 8
Showing 8 citing articles:
Artificial Intelligence in Oncology: Present Potential, Prospective Prospects, And Ethical Reviews
Ammar A. Razzak Mahmood, Dr Roopa Murgod, Saswat swarup Badapanda, et al.
International Journal of Trends in OncoScience (2024)
Open Access | Times Cited: 2
Ammar A. Razzak Mahmood, Dr Roopa Murgod, Saswat swarup Badapanda, et al.
International Journal of Trends in OncoScience (2024)
Open Access | Times Cited: 2
NeurostimML: a machine learning model for predicting neurostimulation-induced tissue damage
Yi Li, Rebecca A. Frederick, Daniel George, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036054-036054
Open Access | Times Cited: 2
Yi Li, Rebecca A. Frederick, Daniel George, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036054-036054
Open Access | Times Cited: 2
Imaging of the superficial white matter in health and disease
Peter Van Dyken, Ali R. Khan, Lena Palaniyappan
Imaging Neuroscience (2024) Vol. 2, pp. 1-35
Closed Access | Times Cited: 2
Peter Van Dyken, Ali R. Khan, Lena Palaniyappan
Imaging Neuroscience (2024) Vol. 2, pp. 1-35
Closed Access | Times Cited: 2
A systematic review of automated methods to perform white matter tract segmentation
Ankita Joshi, Hailong Li, Nehal A. Parikh, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Ankita Joshi, Hailong Li, Nehal A. Parikh, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Assessment of U-Net in the segmentation of short tracts: Transferring to clinical MRI routine
Hohana Gabriela Konell, Luiz Otávio Murta, Antônio Carlos dos Santos, et al.
Magnetic Resonance Imaging (2024) Vol. 111, pp. 217-228
Open Access | Times Cited: 1
Hohana Gabriela Konell, Luiz Otávio Murta, Antônio Carlos dos Santos, et al.
Magnetic Resonance Imaging (2024) Vol. 111, pp. 217-228
Open Access | Times Cited: 1
NeurostimML: A machine learning model for predicting neurostimulation-induced tissue damage
Yi Li, Rebecca A. Frederick, Daniel George, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Yi Li, Rebecca A. Frederick, Daniel George, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Changing the Paradigm for Tractography Segmentation in Neurosurgery: Validation of a Streamline-Based Approach
Silvio Sarubbo, Laura Vavassori, Luca Zigiotto, et al.
Brain Sciences (2024) Vol. 14, Iss. 12, pp. 1232-1232
Open Access
Silvio Sarubbo, Laura Vavassori, Luca Zigiotto, et al.
Brain Sciences (2024) Vol. 14, Iss. 12, pp. 1232-1232
Open Access
Assessment of U-Net in the segmentation of short tracts: transferring to clinical MRI routine
Hohana Gabriela Konell
(2023)
Open Access
Hohana Gabriela Konell
(2023)
Open Access
