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:
Confound-leakage: confound removal in machine learning leads to leakage
Sami Hamdan, Bradley C. Love, Georg G. von Polier, et al.
GigaScience (2022) Vol. 12
Open Access | Times Cited: 10
Sami Hamdan, Bradley C. Love, Georg G. von Polier, et al.
GigaScience (2022) Vol. 12
Open Access | Times Cited: 10
Showing 10 citing articles:
A framework for confounder considerations in AI-driven precision medicine
Vera Komeyer, Simon B. Eickhoff, Christian Grefkes, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Vera Komeyer, Simon B. Eickhoff, Christian Grefkes, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Identifiability in Functional Connectivity May Unintentionally Inflate Prediction Results
Anton Orlichenko, Gang Qu, Kuan‐Jui Su, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Anton Orlichenko, Gang Qu, Kuan‐Jui Su, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Beyond functional connectivity: deep learning applied to resting-state fMRI time series in the prediction of 58 human traits in the HCP
Bruno Hebling Vieira, Mikkel Schöttner, Vince D. Calhoun, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Bruno Hebling Vieira, Mikkel Schöttner, Vince D. Calhoun, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Current best practices and future opportunities for reproducible findings using large-scale neuroimaging in psychiatry
Neda Jahanshad, Petra Lenzini, Janine Bijsterbosch
Neuropsychopharmacology (2024) Vol. 50, Iss. 1, pp. 37-51
Open Access | Times Cited: 1
Neda Jahanshad, Petra Lenzini, Janine Bijsterbosch
Neuropsychopharmacology (2024) Vol. 50, Iss. 1, pp. 37-51
Open Access | Times Cited: 1
Prognostic enrichment for early-stage Huntington’s disease: An explainable machine learning approach for clinical trial
Mohsen Ghofrani-Jahromi, Govinda Poudel, Adeel Razi, et al.
NeuroImage Clinical (2024) Vol. 43, pp. 103650-103650
Open Access | Times Cited: 1
Mohsen Ghofrani-Jahromi, Govinda Poudel, Adeel Razi, et al.
NeuroImage Clinical (2024) Vol. 43, pp. 103650-103650
Open Access | Times Cited: 1
The effects of data leakage on connectome-based machine learning models
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Identifiability in Functional Connectivity May Unintentionally Inflate Prediction Results
Anton Orlichenko, Gang Qu, Kuan‐Jui Su, et al.
(2023)
Open Access | Times Cited: 1
Anton Orlichenko, Gang Qu, Kuan‐Jui Su, et al.
(2023)
Open Access | Times Cited: 1
Pitfalls in using ML to predict cognitive function performance
Gianna Kuhles, Sami Hamdan, Stefan Heim, et al.
Research Square (Research Square) (2024)
Open Access
Gianna Kuhles, Sami Hamdan, Stefan Heim, et al.
Research Square (Research Square) (2024)
Open Access
Identifiability in Functional Connectivity May Unintentionally Inflate Prediction Results
Anton Orlichenko, Gang Qu, Kuan‐Jui Su, et al.
(2023)
Open Access
Anton Orlichenko, Gang Qu, Kuan‐Jui Su, et al.
(2023)
Open Access
