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OpenAlex Citation Counts

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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:

Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse
Simona Bottani, Ninon Burgos, Aurélien Maire, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102219-102219
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics
Pál Vakli, Béla Weiss, János Szalma, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102850-102850
Open Access | Times Cited: 13
A REVIEW OF IMPLEMENTING AI-POWERED DATA WAREHOUSE SOLUTIONS TO OPTIMIZE BIG DATA MANAGEMENT AND UTILIZATION
Md Kazi Shahab Uddin, Kazi Md Riaz Hossan
Academic journal on business administration, innovation & sustainability. (2024) Vol. 4, Iss. 3, pp. 66-78
Open Access | Times Cited: 5
Automatic gross tumor volume segmentation with failure detection for safe implementation in locally advanced cervical cancer
Rahimeh Rouhi, Stéphane Niyoteka, Alexandre Carré, et al.
Physics and Imaging in Radiation Oncology (2024) Vol. 30, pp. 100578-100578
Open Access | Times Cited: 4
From out-of-distribution detection to quality control
Benjamin Lambert, Florence Forbes, Michel Dojat
Elsevier eBooks (2025), pp. 101-126
Closed Access
A Quantitative Approach for Forensic Footwear Quality Assessment using Machine and Deep Learning
Bismita Choudhury, En‐Tni Lin, Jacqueline A. Speir
Journal of Data and Information Quality (2025)
Closed Access
IA en santé : guide pour l’interniste averti
Thomas Barba, Marie Robert, A. Hot
La Revue de Médecine Interne (2025)
Open Access
The Good, the Bad, and the Ugly: Segmentation-Based Quality Control of Structural Magnetic Resonance Images
Robert Dahnke, Polona Kalc, Gabriel Ziegler, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Automated quality control of T1-weighted brain MRI scans for clinical research: methods comparison and design of a quality prediction classifier
Gaurav Bhalerao, Grace Gillis, M Dembélé, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Axis-Guided Quality Assessment and Multi-label Hippocampal and Ventricular Segmentation in Low-Resolution Pediatric Brain MRI
H.J. Kim, J. Seo, Seiyoung Ryu, et al.
Lecture notes in computer science (2025), pp. 53-62
Closed Access
Monte Carlo Ensemble Neural Network for the diagnosis of Alzheimer’s disease
Chaoqiang Liu, Fei Huang, Anqi Qiu
Neural Networks (2022) Vol. 159, pp. 14-24
Closed Access | Times Cited: 15
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse
Simona Bottani, Ninon Burgos, Aurélien Maire, et al.
Medical Image Analysis (2023) Vol. 89, pp. 102903-102903
Open Access | Times Cited: 8
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data
Sophie Loizillon, Simona Bottani, Aurélien Maire, et al.
Medical Image Analysis (2023) Vol. 93, pp. 103073-103073
Open Access | Times Cited: 8
Deep learning model for automatic image quality assessment in PET
Haiqiong Zhang, Yu Liu, Yanmei Wang, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 8
Reproducibility in Machine Learning for Medical Imaging
Olivier Colliot, Elina Thibeau‐Sutre, Ninon Burgos
Neuromethods (2023), pp. 631-653
Open Access | Times Cited: 7
Automatic diagnostic system for segmentation of 3D/2D brain MRI images based on a hardware architecture
Fayçal Hamdaoui, Anis Sakly
Microprocessors and Microsystems (2023) Vol. 98, pp. 104814-104814
Closed Access | Times Cited: 5
DSMRI: Domain Shift Analyzer for Multi-Center MRI Datasets
Rafsanjany Kushol, Alan H. Wilman, Sanjay Kalra, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2947-2947
Open Access | Times Cited: 5
Cardiac magnetic resonance imaging-derived right ventricular volume and function, and association with outcomes in isolated tricuspid regurgitation
Gaspard Suc, Thibault Dewavrin, Jules Mesnier, et al.
Archives of cardiovascular diseases (2024)
Closed Access | Times Cited: 1
Multi-layer Aggregation as a Key to Feature-Based OOD Detection
Benjamin Lambert, Florence Forbes, Senan Doyle, et al.
Lecture notes in computer science (2023), pp. 104-114
Closed Access | Times Cited: 2
A systematic review of (semi-)automatic quality control of T1-weighted MRI scans
Janine Hendriks, Henk J. M. M. Mutsaerts, Richard Joules, et al.
Neuroradiology (2023) Vol. 66, Iss. 1, pp. 31-42
Open Access | Times Cited: 2
Fully automated quality control of rigid and affine registrations of T1w and T2w MRI in big data using machine learning
Sudhakar Tummala, Venkata Sainath Gupta Thadikemalla, Barbara A. K. Kreilkamp, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104997-104997
Closed Access | Times Cited: 4
A 3D Sparse Autoencoder for Fully Automated Quality Control of Affine Registrations in Big Data Brain MRI Studies
Venkata Sainath Gupta Thadikemalla, Niels K. Focke, Sudhakar Tummala
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 412-427
Open Access
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI
Simona Bottani, Elina Thibeau‐Sutre, Aurélien Maire, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Leveraging noise and contrast simulation for the automatic quality control of routine clinical T1-weighted brain MRI
Sophie Loizillon, Stéphane Mabille, Simona Bottani, et al.
Medical Imaging 2022: Image Processing (2024), pp. 42-42
Open Access
Automatic quality control of segmentation results using early epochs as data augmentation: application to choroid plexuses
Arya Yazdan-Panah, Bruno Stankoff, Olivier Colliot
Medical Imaging 2022: Image Processing (2024) Vol. 9784, pp. 44-44
Open Access
Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation
Sophie Loizillon, Simona Bottani, Stéphane Mabille, et al.
The Journal of Machine Learning for Biomedical Imaging (2024) Vol. 2, Iss. June 2024, pp. 888-915
Open Access
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