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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:

Novel Volumetric Sub-region Segmentation in Brain Tumors
Subhashis Banerjee, Sushmita Mitra
Frontiers in Computational Neuroscience (2020) Vol. 14
Open Access | Times Cited: 24

Showing 24 citing articles:

Deep Learning for Screening COVID-19 using Chest X-Ray Images
Sanhita Basu, Sushmita Mitra, Nilanjan Saha
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020), pp. 2521-2527
Open Access | Times Cited: 165
3D-MRI Brain Tumor Detection Model Using Modified Version of Level Set Segmentation Based on Dragonfly Algorithm
Hassan A. Khalil, Saad M. Darwish, Yasmine M. Ibrahim, et al.
Symmetry (2020) Vol. 12, Iss. 8, pp. 1256-1256
Open Access | Times Cited: 62
Performance of machine learning algorithms for glioma segmentation of brain MRI: a systematic literature review and meta-analysis
Evi J. van Kempen, Max Post, Manoj Mannil, et al.
European Radiology (2021) Vol. 31, Iss. 12, pp. 9638-9653
Open Access | Times Cited: 50
Overview of Multi-Modal Brain Tumor MR Image Segmentation
Wenyin Zhang, Yong Wu, Bo Yang, et al.
Healthcare (2021) Vol. 9, Iss. 8, pp. 1051-1051
Open Access | Times Cited: 42
Three‐Dimensional Network With Squeeze and Excitation for Accurate Multi‐Region Brain Tumor Segmentation
Anila Kunjumon, Chinnu Jacob, R. Resmi
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access
CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI
Andrés Anaya-Isaza, Leonel Mera-Jiménez, Álvaro Fernández-Quilez
IEEE Access (2023) Vol. 11, pp. 27066-27085
Open Access | Times Cited: 11
Multi-Task Deep Supervision on Attention R2U-Net for Brain Tumor Segmentation
Shiqiang Ma, Jijun Tang, Fei Guo
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 19
A Systematic Review on Medical Image Segmentation using Deep Learning
Mahdiyeh Rahmani, Ali Kazemi, Maryam Jalili Aziz, et al.
Scientia Iranica (2024)
Open Access | Times Cited: 2
A Systematic Mapping Study of Low-Grade Tumor of Brain Cancer and CSF Fluid Detecting Approaches and Parameters
Soobia Saeed, Habibullah Bin Haroon, Mehmood Naqvi, et al.
Advances in healthcare information systems and administration book series (2022), pp. 236-259
Closed Access | Times Cited: 11
Deep Learning With Radiogenomics Towards Personalized Management of Gliomas
Sushmita Mitra
IEEE Reviews in Biomedical Engineering (2021) Vol. 16, pp. 579-593
Closed Access | Times Cited: 9
Nature-Inspired Level Set Segmentation Model for 3D-MRI Brain Tumor Detection
Oday Ali Hassen, Sarmad Omar Abter, Ansam A. Abdulhussien, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 68, Iss. 1, pp. 961-981
Open Access | Times Cited: 7
A Systematic Mapping Study of Low-Grade Tumor of Brain Cancer and CSF Fluid Detecting in MRI Images Through Multi-Algorithm Techniques
Soobia Saeed, Habibullah Bin Haroon, N. Z. Jhanjhi, et al.
Advances in healthcare information systems and administration book series (2022), pp. 168-201
Closed Access | Times Cited: 4
U-Net-based Artificial Intelligence for Accurate and Robust Brain Tumor Diagnosis using Magnetic Resonance Imaging
Driss Lamrani, Soufiane Hamida, Mohammed Amine Bouqentar, et al.
(2023), pp. 1-9
Closed Access | Times Cited: 2
Segmented Glioma Classification Using Radiomics-Based Machine Learning: A Comparative Analysis of Feature Selection Techniques
Amal Jlassi, Amel Omri, Khaoula ElBedoui, et al.
Lecture notes in computer science (2024), pp. 425-447
Closed Access
Smart Surveillance of Secondary Brain Tumours
Daniel Nussey
(2024)
Open Access
Smart Surveillance of Secondary Brain Tumours
Daniel Nussey
(2024)
Open Access
Automated Segmentation of Brain Gliomas in Multimodal MRI Data
Changxiong Xie, Jianming Ye, Xiaofei Ma, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Closed Access
Segmentation in Diabetic Retinopathy using Deeply-Supervised Multiscalar Attention
Sanhita Basu, Sushmita Mitra
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021)
Closed Access | Times Cited: 4
Segmentation of brain tumor subregions with depthwise separable dense U‐NET (DSDU‐NET)
V. Nehru, V. Prabhu
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 4, pp. 1323-1334
Open Access | Times Cited: 1
Sub-region Segmentation of Brain Tumors from Multimodal MRI Images Using 3D U-Net
Ammar Alhaj Ali, Rasin Katta, Roman Jašek, et al.
Lecture notes in networks and systems (2023), pp. 357-367
Closed Access
Deep Active Learning for Glioblastoma Quantification
Subhashis Banerjee, Robin Strand
Lecture notes in computer science (2023), pp. 190-200
Closed Access
A Study on Evaluation and Analysis of Edge Detection Operators
Pinaki Pratim Acharjya, Subhankar Joardar, Santanu Koley, et al.
Advances in computational intelligence and robotics book series (2023), pp. 65-102
Closed Access
DSDU-Net: Segmentation of Brain Tumor Subregions with Depthwise Separable Dense U-NET
V. Nehru, V Prabhu
Research Square (Research Square) (2022)
Open Access
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction.
Subhashis Banerjee, Sushmita Mitra, Lawrence Hall
arXiv (Cornell University) (2021)
Closed Access
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