Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information
Ahmed M. Gab Allah, Amany Sarhan, Nada M. Elshennawy
Expert Systems with Applications (2022) Vol. 213, pp. 118833-118833
Closed Access | Times Cited: 92

Showing 26-50 of 92 citing articles:

A hybrid approach for multi modal brain tumor segmentation using two phase transfer learning, SSL and a hybrid 3DUNET
Kaliprasad Pani, Indu Chawla
Computers & Electrical Engineering (2024) Vol. 118, pp. 109418-109418
Closed Access | Times Cited: 4
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
Minh–Hao Van, Prateek Verma, Xintao Wu
(2024), pp. 172-176
Open Access | Times Cited: 4
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets Using Post-Heuristic Approaches
Konstantinos Pasvantis, Eftychios Protopapadakis
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 232-232
Open Access | Times Cited: 4
Gabrain-Net: An Optimized Gabor-Integrated U-Net for Multimodal Brain Tumor MRI Segmentation
Ekram Chamseddine, Lotfi Tlig, lotfi Chaari, et al.
(2025)
Closed Access
LFBTS: Enhanced Multimodality MRI Fusion for Brain Tumor Segmentation With Limited Computational Resources
Yuanjing Hu, Aibin Huang
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access
A novel generative model for brain tumor detection using magnetic resonance imaging
José Jerovane da C. Nascimento, Adriell Gomes Marques, L. Souza, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 121, pp. 102498-102498
Closed Access
Adaptive Dual-path Spatial-Frequency Network for medical microstructure segmentation
Qihang Xie, Kuangrong Hao, Bing Wei, et al.
Expert Systems with Applications (2025), pp. 127032-127032
Closed Access
DBFAM: A dual-branch network with efficient feature fusion and attention-enhanced gating for medical image segmentation
B. C. Ren, Yuhui Zheng, Zhaohui Zheng, et al.
Journal of Visual Communication and Image Representation (2025), pp. 104434-104434
Closed Access
Brain tumor segmentation with deep learning: Current approaches and future perspectives
Akash Verma, Arun Kumar Yadav
Journal of Neuroscience Methods (2025), pp. 110424-110424
Closed Access
ECM-TransUNet: Edge-enhanced multi-scale attention and convolutional Mamba for medical image segmentation
Chunjie Lv, Biyuan Li, Xiuwei Wang, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107845-107845
Closed Access
BM-Seg: A new bone metastases segmentation dataset and ensemble of CNN-based segmentation approach
Marwa Afnouch, Olfa Gaddour, Yosr Hentati, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120376-120376
Open Access | Times Cited: 11
The Impact of Backbone Selection in Yolov8 Models on Brain Tumor Localization
Ramin Ranjbarzadeh, Martin Crane, Malika Bendechache
(2024)
Closed Access | Times Cited: 3
RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans
Shahzad Ahmad Qureshi, Qurat-ul-ain Chaudhary, Romana Schirhagl, et al.
Waves in Random and Complex Media (2024), pp. 1-51
Closed Access | Times Cited: 3
Enhancing Brain Tumor MRI Segmentation Accuracy and Efficiency with Optimized U-Net Architecture
Sultanul Arifeen Hamim, Akinul Islam Jony
Malaysian Journal of Science and Advanced Technology (2024), pp. 197-202
Open Access | Times Cited: 3
The Superiority of Fine-tuning over Full-training for the Efficient Diagnosis of COPD from CXR Images
Victor Ikechukwu Agughasi
INTELIGENCIA ARTIFICIAL (2024) Vol. 27, Iss. 74, pp. 62-79
Open Access | Times Cited: 3
Enhancing brain tumor segmentation in MRI images using the IC-net algorithm framework
C. S., J. Christopher Clement
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Detection of brain space-occupying lesions using quantum machine learning
Javeria Amin, Muhammad Almas Anjum, Nadia Gul, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 26, pp. 19279-19295
Closed Access | Times Cited: 8
Multi-scale cross spectral coherence and phase spectral distribution based measurement in non-subsampled shearlet domain for classification of brain tumors
Poulomi Das, Arpita Das
Expert Systems with Applications (2024) Vol. 247, pp. 123329-123329
Closed Access | Times Cited: 2
Multiclass Tumor Segmentation From Brain MRIs Using GARU-Net: Gelu Activated Attention Aware Res-3DUNET for Adaptive Feature Pooling
Aarif Raza, Mohammad Farukh Hashmi
IEEE Sensors Letters (2024) Vol. 8, Iss. 4, pp. 1-4
Closed Access | Times Cited: 2
Progressive deep snake for instance boundary extraction in medical images
Zixuan Tang, Bin Chen, An Zeng, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123590-123590
Closed Access | Times Cited: 2
A Lightweight Multi-Dendritic Pyramidal Neuron Model with Neural Plasticity on Image Recognition
Yu Zhang, Pengxing Cai, Yanan Sun, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 9, pp. 4415-4427
Closed Access | Times Cited: 2
A Review of Brain Tumor Segmentation Using MRIs from 2019 to 2023 (Statistical Information, Key Achievements, and Limitations)
Yasaman Zakeri, Babak Karasfi, Afsaneh Jalalian
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 2, pp. 155-180
Closed Access | Times Cited: 2
GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images
Evans Kipkoech Rutoh, Qin Zhi Guang, Noor Bahadar, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 6, pp. 102086-102086
Open Access | Times Cited: 2
M2GCNet: Multi-modal Graph Convolution Network for Precise Brain Tumor Segmentation Across Multiple MRI Sequences
Tongxue Zhou
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 4896-4910
Closed Access | Times Cited: 2
A Critical Review on Segmentation of Glioma Brain Tumor and Prediction of Overall Survival
Novsheena Rasool, Javaid Iqbal Bhat
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2

Scroll to top