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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:

Application of Radiomics in Central Nervous System Diseases: a Systematic literature review
Yanghua Fan, Ming Feng, Renzhi Wang
Clinical Neurology and Neurosurgery (2019) Vol. 187, pp. 105565-105565
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Pancreas image mining: a systematic review of radiomics
Bassam M. Abunahel, Beau Pontré, Haribalan Kumar, et al.
European Radiology (2020) Vol. 31, Iss. 5, pp. 3447-3467
Closed Access | Times Cited: 68
CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes
Omneya Attallah
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 41
AI-Based Pipeline for Classifying Pediatric Medulloblastoma Using Histopathological and Textural Images
Omneya Attallah, Shaza B. Zaghlool
Life (2022) Vol. 12, Iss. 2, pp. 232-232
Open Access | Times Cited: 31
A Spotlight on the Role of Radiomics and Machine-Learning Applications in the Management of Intracranial Meningiomas: A New Perspective in Neuro-Oncology: A Review
Lara Brunasso, Gianluca Ferini, Lapo Bonosi, et al.
Life (2022) Vol. 12, Iss. 4, pp. 586-586
Open Access | Times Cited: 27
Robustness of radiomics to variations in segmentation methods in multimodal brain MRI
Maarten Gijsbert Poirot, Matthan W.A. Caan, Henricus G. Ruhé, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images
Matthew P. Adams, Arman Rahmim, Jing Tang
Computers in Biology and Medicine (2021) Vol. 132, pp. 104312-104312
Open Access | Times Cited: 28
Inflammatory lesions and brain tumors: is it possible to differentiate them based on texture features in magnetic resonance imaging?
Allan Felipe Fattori Alves, José Ricardo de Arruda Miranda, Fabiano Reis, et al.
˜The œJournal of venomous animals and toxins including tropical diseases (2020) Vol. 26
Open Access | Times Cited: 25
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI
Carlo Russo, Sidong Liu, Antonio Di Ieva
Medical & Biological Engineering & Computing (2021) Vol. 60, Iss. 1, pp. 121-134
Closed Access | Times Cited: 23
Non-Invasive Preoperative Imaging Differential Diagnosis of Intracranial Hemangiopericytoma and Angiomatous Meningioma: A Novel Developed and Validated Multiparametric MRI-Based Clini-Radiomic Model
Yanghua Fan, Panpan Liu, Yiping Li, et al.
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 14
Non-invasive and real-time proliferative activity estimation based on a quantitative radiomics approach for patients with acromegaly: a multicenter study
Y.G. Fan, Yan Chai, K. Li, et al.
Journal of Endocrinological Investigation (2019) Vol. 43, Iss. 6, pp. 755-765
Closed Access | Times Cited: 23
The Application of Artificial Intelligence and Machine Learning in Pituitary Adenomas
Congxin Dai, Bowen Sun, Renzhi Wang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 19
From Medical Imaging to Radiomics: Role of Data Science for Advancing Precision Health
Enrico Capobianco, Marco Dominietto
Journal of Personalized Medicine (2020) Vol. 10, Iss. 1, pp. 15-15
Open Access | Times Cited: 20
Neuromelanin and T2*-MRI for the assessment of genetically at-risk, prodromal, and symptomatic Parkinson’s disease
Dafna Ben Bashat, Avner Thaler, Hedva Lerman Shacham, et al.
npj Parkinson s Disease (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 12
The Role of Positron Emission Tomography/Computed Tomography (PET/CT) for Staging and Disease Response Assessment in Localized and Locally Advanced Pancreatic Cancer
Michele Ghidini, Marta Vuozzo, Barbara Galassi, et al.
Cancers (2021) Vol. 13, Iss. 16, pp. 4155-4155
Open Access | Times Cited: 15
Applications of radiomics in genitourinary tumors.
Longfei Liu, Xiaoping Yi, Can Lü, et al.
PubMed (2020) Vol. 10, Iss. 8, pp. 2293-2308
Closed Access | Times Cited: 15
Three-Dimensional Radiomics Features From Multi-Parameter MRI Combined With Clinical Characteristics Predict Postoperative Cerebral Edema Exacerbation in Patients With Meningioma
Bing Xiao, Yanghua Fan, Zhe Zhang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 13
Magnetic resonance texture analysis reveals stagewise nonlinear alterations of the frontal gray matter in patients with early psychosis
Sun‐Young Moon, Hyungyou Park, Won Yong Lee, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 12, pp. 5309-5318
Closed Access | Times Cited: 4
Updated Systematic Review on the Role of Brain Invasion in Intracranial Meningiomas: What, When, Why?
Lara Brunasso, Lapo Bonosi, Roberta Costanzo, et al.
Cancers (2022) Vol. 14, Iss. 17, pp. 4163-4163
Open Access | Times Cited: 6
Differential diagnosis of pancreatic cystic neoplasms through a radiomics-assisted system
Zhenglin Dong, Xiahan Chen, Zhaorui Cheng, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 4
Neuroimaging of tuberculosis- modalities, imaging protocols and radiomics: a review
Shahmeer Khan, Muhammad Awais, Muhammad Azeemuddin, et al.
Pakistan Journal of Neurological Sciences (2024) Vol. 18, Iss. 04
Open Access
Pictures worth more than a thousand words: Prediction of survival in medulloblastoma patients
A. Meneghetti, Alex Zwanenburg, Steffen Löck
EBioMedicine (2020) Vol. 62, pp. 103136-103136
Open Access | Times Cited: 3
MR textural features (RADIOMICS) for predicting response to treatment in patients with intracranial tuberculoma: A retrospective cross-sectional study
Muhammad Awais, Shahmeer Khan, Wasay Muhammad, et al.
Pakistan Journal of Neurological Sciences (2023) Vol. 17, Iss. 03
Open Access | Times Cited: 1
Diffusion radiomics for subtyping and clustering in autism spectrum disorder: A preclinical study
Ajay Paul Singh, Vansh Jain, John‐Paul J. Yu
Magnetic Resonance Imaging (2022) Vol. 96, pp. 116-125
Open Access | Times Cited: 2
Rapid Method for Feature Extraction Using RADIOMICS Applied to Medical Imaging
Wilver Auccahuasi, Óscar Linares, Luis Vivanco-Aldon, et al.
(2023), pp. 1627-1633
Closed Access
Radiômica de imagens de ressonância magnética de articulações sacroilíacas: um estudo para a identificação de biomarcadores quantitativos para sacroiliíte e espondiloartrite
Ariane Priscilla Magalhães Tenorio
(2020)
Open Access
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