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:

Brain tumor segmentation by cascaded multiscale multitask learning framework based on feature aggregation
Zahra Sobhaninia, Nader Karimi, Pejman Khadivi, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104834-104834
Closed Access | Times Cited: 18

Showing 18 citing articles:

MRI-Based Effective Ensemble Frameworks for Predicting Human Brain Tumor
Farhana Khan, Shahnawaz Ayoub, Yonis Gulzar, et al.
Journal of Imaging (2023) Vol. 9, Iss. 8, pp. 163-163
Open Access | Times Cited: 26
Brain tumor classification: a novel approach integrating GLCM, LBP and composite features
G. Dheepak, Anita Christaline Johnvictor, D. Vaishali
Frontiers in Oncology (2024) Vol. 13
Open Access | Times Cited: 10
Deformation-aware and reconstruction-driven multimodal representation learning for brain tumor segmentation with missing modalities
Zhiyuan Li, Yafei Zhang, Huafeng Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106012-106012
Closed Access | Times Cited: 6
HSMTL-Net: A Multi-Task Learning Framework for Human Segmentation with Integrated Regression and Classification Modules
Faezeh Rohani, Soroush Babaee Khobdeh
Research Square (Research Square) (2025)
Closed Access
BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification
Xiao Liu, Chong Yao, Hongyi Chen, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102307-102307
Closed Access | Times Cited: 12
GMAlignNet: multi-scale lightweight brain tumor image segmentation with enhanced semantic information consistency
J. Song, Xiaoqi Lu, Yu Gu
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 115033-115033
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
Optimizing ST-Segment classification in ECG using multi-task learning
Ziyi Yin, Wenjie Cai, Mingjie Wang
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106591-106591
Closed Access | Times Cited: 1
An explainable Liquid Neural Network combined with path aggregation residual network for an accurate brain tumor diagnosis
S. Berlin Shaheema, K. Suganya Devi, Naresh Babu Muppalaneni
Computers & Electrical Engineering (2024) Vol. 122, pp. 109999-109999
Closed Access | Times Cited: 1
Fast and accurate 3-D spine MRI segmentation using FastCleverSeg
Jonathan S. Ramos, Mirela T. Cazzolato, Oscar Cuadros Linares, et al.
Magnetic Resonance Imaging (2024) Vol. 109, pp. 134-146
Closed Access
Enhancing Multi-view Mammography Image Classification: By using Breast Region Extraction Method and Statistical Features
Neda Shirany Bidabadi, Elham Mahmoudzadeh
(2024), pp. 1-5
Closed Access
MultiTumor Analyzer (MTA-20–55): A network for efficient classification of detected brain tumors from MRI images
Akshya Kumar Sahoo, Priyadarsan Parida, Manoj Kumar Panda, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 617-634
Closed Access
MFS-Net: Multi-Stage Feature Fusion and Shape Fitting Network for Ultrasound Image Segmentation
Lei Lyu, Tongze Liu, Chen Pang, et al.
(2024), pp. 35-43
Open Access
Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches
Nadenlla RajamohanReddy, G. Muneeswari
PeerJ Computer Science (2024) Vol. 10, pp. e2496-e2496
Open Access
Advanced brain tumor analysis: a novel strategy for segmentation and classification using modern computational methods
Hatice Çatal Reis, Veysel Turk
Neural Computing and Applications (2024)
Closed Access
Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis
Tingwei Wang, Jia‐Sheng Hong, Wei‐Kai Lee, et al.
Neuroinformatics (2024) Vol. 23, Iss. 1, pp. 1-12
Open Access
Automatic Brain Tumor Detection and Segmentation from MRI Images Using Graph Theory, Metaheuristic Algorithms, Re-Transfer Learning, Integrated Deep Learning and Ensemble Learning Model
Hatice Çatal Reis, Veysel Turk
(2023)
Closed Access | Times Cited: 1
An Ensemble Deep Learning Approach for Enhanced Classification of Pituitary Tumors
Sumaiya Deen Muhammad, Ziad Kobti
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 427-432
Closed Access | Times Cited: 1
Page 1

Scroll to top