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:

DenseUNet+: A novel hybrid segmentation approach based on multi-modality images for brain tumor segmentation
Halit ÇETİNER, Sedat Metlek
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 8, pp. 101663-101663
Open Access | Times Cited: 18

Showing 18 citing articles:

Deep learning for medical image segmentation: State-of-the-art advancements and challenges
Md. Eshmam Rayed, S. M. Sajibul Islam, Sadia Islam Niha, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101504-101504
Open Access | Times Cited: 30
Recent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey
Zain Ul Abıdın, Rizwan Ali Naqvi, Amir Haider, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 9
CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model
K. Bhagyalaxmi, B. Dwarakanath
Neuroinformatics (2025) Vol. 23, Iss. 2
Closed Access
An Evaluation of Pre-trained CNN Architectures for Brain Tumor Segmentation and Detection
Venkata Kiranmai Kollipara, Surendra Reddy Vinta
Lecture notes in networks and systems (2025), pp. 507-524
Closed Access
SMFDNet: spatial and multi-frequency domain network for OCT angiography retinal vessel segmentation
Sien Li, Fei Ma, Feng Yan, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Deep learning for brain tumor segmentation in multimodal MRI images: A review of methods and advances
Bin Jiang, Mushan Liao, Yun Zhao, et al.
Image and Vision Computing (2025), pp. 105463-105463
Closed Access
SRSegNet: Super-resolution-assisted small targets polyp segmentation network with combined high and low resolution
Puyin Fan, Yueqin Diao, Fan Li, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 3, pp. 101981-101981
Open Access | Times Cited: 4
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
Brain tumor detection with bi-directional cascade Gaussian kernel feature-generative adversarial networks
S Anjana, P. M. Siva Raja, K. Rejini, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107838-107838
Closed Access
Segmenting brain glioblastoma using dense-attentive 3D DAF2
Sunayana G. Domadia, Falgunkumar N. Thakkar, Mayank A. Ardeshana
Physica Medica (2024) Vol. 119, pp. 103304-103304
Closed Access | Times Cited: 3
Brain tumor segmentation and survival time prediction using graph momentum fully convolutional network with modified Elman spike neural network
M. Ramkumar, R. Sarath Kumar, R. Padmapriya, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 1
Closed Access | Times Cited: 2
INCEPTION SH: A NEW CNN MODEL BASED ON INCEPTION MODULE FOR CLASSIFYING SCENE IMAGES
Sedat Metlek, Halit ÇETİNER
Mühendislik Bilimleri ve Tasarım Dergisi (2024) Vol. 12, Iss. 2, pp. 328-344
Open Access | Times Cited: 2
Research on Image Processing Technology Based on Artificial Intelligence and Visual Algorithms
Shihong Bi
(2024), pp. 1-4
Closed Access | Times Cited: 1
ANALYSIS OF DIFFERENT POOLING FUNCTIONS ON A CONVOLUTION NEURAL NETWORK BASED MODEL
Halit ÇETİNER, Sedat Metlek
International Journal of 3D Printing Technologies and Digital Industry (2024) Vol. 8, Iss. 2, pp. 266-276
Open Access | Times Cited: 1
SFNet: Spatial and Frequency Domain Networks for Wide‐Field OCT Angiography Retinal Vessel Segmentation
Sien Li, Fei Ma, Feng Yan, et al.
Journal of Biophotonics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Evrişimli sinir ağları kullanılarak ince kesit görüntülerden hidrotermal alterasyon tespiti
Rıza ÇENET, Emre Ünsal, Oktay Canbaz
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi (2024)
Open Access
Brain Tumor Classification in MRI Images: A CNN and U-Net Approach
D. Helen, M Mary Adline Priya, S. Lokesh, et al.
Algorithms for intelligent systems (2024), pp. 235-255
Closed Access
Benign vs. Malignant Brain Tumors: An In-Depth Review Using Deep Learning Techniques
Kirti Rattan, Gaurav Bathla, Vikas Wasson
(2024), pp. 1-6
Closed Access
DRLSU-Net: Level Set With U-Net for Medical Image Segmentation
Xiaofeng Wang, Jiashan Liu, Ruige Yang, et al.
Digital Signal Processing (2024), pp. 104884-104884
Closed Access
3W‐MultiHier: A Three Way Multi‐Hierarchical Model Enabled Deep Learning for Brain Tumor Classification in MRI Scans
Asmita Dixit, Manish Thakur
Advanced Theory and Simulations (2024)
Closed Access
Page 1

Scroll to top