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 Detection using Convolution Neural Network with Data Augmentation
Erukulla Vinay Kumar, Sreedhar Kollem
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (2022), pp. 1129-1134
Closed Access | Times Cited: 9
Erukulla Vinay Kumar, Sreedhar Kollem
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (2022), pp. 1129-1134
Closed Access | Times Cited: 9
Showing 9 citing articles:
Sreedhar Kollem, Katta Rama Linga Reddy, Ch. Rajendra Prasad, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 4, pp. 1306-1322
Closed Access | Times Cited: 28
Brain Tumor Detection Using the Inception Deep Learning Technique
Ramyateja Singamshetty, Sangani Sruthi, Kodati Chandhana, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 8
Ramyateja Singamshetty, Sangani Sruthi, Kodati Chandhana, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 8
Detection Of MRI Brain Tumor Using Customized Deep Learning Method Via Web App
Akula Shravya Sri, Bobbili Varshith Reddy, Kanuri Balakrishna, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 7
Akula Shravya Sri, Bobbili Varshith Reddy, Kanuri Balakrishna, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 7
A Novel DL Structure for Brain Tumor Identification Using MRI Images
Sreedhar Kollem, P. Sharon Priya Harika, J. Vignesh, et al.
(2024), pp. 1475-1481
Closed Access | Times Cited: 1
Sreedhar Kollem, P. Sharon Priya Harika, J. Vignesh, et al.
(2024), pp. 1475-1481
Closed Access | Times Cited: 1
A General Regression Neural Network based Blurred Image Restoration
Sreedhar Kollem, Katta Rama Linga Reddy, S. Sreejith, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 7
Sreedhar Kollem, Katta Rama Linga Reddy, S. Sreejith, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 7
An Optimized CNN Method for Multi-Class MRI Brain Tumor Classification
Sreedhar Kollem
(2023), pp. 1150-1155
Closed Access | Times Cited: 3
Sreedhar Kollem
(2023), pp. 1150-1155
Closed Access | Times Cited: 3
An efficient image-denoising method using a deep learning technique
K. Rajkumar, Abbady Saivardhan Reddy, Paladugula Sahith, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
K. Rajkumar, Abbady Saivardhan Reddy, Paladugula Sahith, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
A Comprehensive Method for MRI Brain Tumor Classification Using Hybrid CNN and Feature Selection
Sreedhar Kollem
(2023), pp. 1144-1149
Closed Access | Times Cited: 2
Sreedhar Kollem
(2023), pp. 1144-1149
Closed Access | Times Cited: 2
Explainable Predictions for Brain Tumor Diagnosis Using InceptionV3 CNN Architecture
Punam Bedi, Ningyao Ningshen, Surbhi Rani, et al.
Lecture notes in networks and systems (2023), pp. 125-134
Closed Access | Times Cited: 2
Punam Bedi, Ningyao Ningshen, Surbhi Rani, et al.
Lecture notes in networks and systems (2023), pp. 125-134
Closed Access | Times Cited: 2
