Leaderboards/Brain Tumor Detection and Classification

Brain Tumor Detection and Classification

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Dulari Bhatt
Parul University
2
Mohammad Mustafa Taye
Philadelphia University
3
Jaeyong Kang
Korea National University of Transportation
4
Soheila Saeedi
Hamedan University of Medical Sciences
5
Mohammad Omid Khairandish
Chandigarh University
6
Emrah Irmak
Alanya Alaaddin Keykubat Üniversitesi
7
Hadeer A. Helaly
Damietta University
8
Wadhah Ayadi
University of Monastir
9
Saidul Islam
American International University-Bangladesh
10
Md. Saikat Islam Khan
Mawlana Bhashani Science and Technology University

Rising Stars Papers

1
Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model
Expert Systems with Applications|2024
48 cit.
2
Design and evaluation of a serious video game to treat preschool children with speech sound disorders
Scientific Reports|2024
10 cit.
3
Fed-RD: Privacy-Preserving Federated Learning for Financial Crime Detection
Unknown Journal|2024
6 cit.
4
Are We There Yet? A Brief Survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges
IEEE Transactions on Affective Computing|2025
6 cit.
5
ELCD-NSC2: a novel early lung cancer detection and non-small cell classification framework
Neural Computing and Applications|2024
4 cit.
6
A multi-modal unsupervised machine learning approach for biomedical signal processing during cardiopulmonary resuscitation
Information Sciences|2025
3 cit.
7
Natural language processing: The current state of the art and challenges
Review of Computer Engineering Research|2024
2 cit.
8
Enhanced Sentiment Classification through Ontology-Based Sentiment Analysis with BERT
Journal of Internet Services and Information Security|2025
2 cit.
9
Early breast cancer detection, affected cell classification, and segmentation framework
Engineering Applications of Artificial Intelligence|2025
2 cit.
10
Enhanced Agile Methodology for Ontology Development in E-Learning Environments
International Journal of Interactive Mobile Technologies (iJIM)|2024
1 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Malika Bendechache
Ollscoil na Gaillimhe – University of Galway
2
Steven Lawrence Fernandes
Creighton University
3
Hemant Ghayvat
Linnaeus University
4
Yihong Wu
National Taiwan University Hospital
5
Özal Yıldırım
Fırat University
6
Walid Al‐Atabany
Nile University
7
Haoyu Dong
Duke University
8
Marko Barjaktarović
University of Belgrade
9
N. Z. Jhanjhi
Taylor's University
10
H. Pal Thethi
Lovely Professional University

Emerging Leaders Papers

1
Detection of Skin Cancer Based on Skin Lesion Images Using Deep Learning
Healthcare|2022
363 cit.
2
Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions
IEEE Access|2024
222 cit.
3
Energy Optimization for Smart Cities Using IoT
Applied Artificial Intelligence|2022
149 cit.
4
A Transfer Learning Approach with a Convolutional Neural Network for the Classification of Lung Carcinoma
Healthcare|2022
134 cit.
5
Detection of COVID-19 Based on Chest X-rays Using Deep Learning
Healthcare|2022
128 cit.
6
Framework for Detecting Breast Cancer Risk Presence Using Deep Learning
Electronics|2023
113 cit.
7
Towards Industrial Revolution 5.0 and Explainable Artificial Intelligence: Challenges and Opportunities
International Journal of Computing and Digital Systems|2022
109 cit.
8
Autonomous Traffic System for Emergency Vehicles
Electronics|2022
93 cit.
9
Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm
Computers in Biology and Medicine|2023
88 cit.
10
MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network
Annals of Operations Research|2022
72 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Dinggang Shen
ShanghaiTech University
2
Yudong Zhang
First Affiliated Hospital of Guangzhou Medical University
3
Shuihua Wang‎
Nanjing Normal University
4
Hugo Larochelle
Mila - Quebec Artificial Intelligence Institute
5
M. Jorge Cardoso
King's College London
6
Carlos A. Silva
University of Minho
7
M. Sohel Rahman
University of Rajshahi
8
Robertas Damaševičius
Vytautas Magnus University
9
J. M. Górriz
Universidad de Granada
10
P. M. Ameer
Princess Nourah bint Abdulrahman University

Current Senior Leaders Papers

1
Brain tumor segmentation with Deep Neural Networks
Medical Image Analysis|2016
3.2k cit.
2
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
IEEE Transactions on Medical Imaging|2016
2.7k cit.
3
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations
Lecture notes in computer science|2017
2.6k cit.
4
Optimization as a Model for Few-Shot Learning
International Conference on Learning Representations|2017
2.4k cit.
5
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
Neural Networks|2019
2.3k cit.
6
Proceedings of The 32nd International Conference on Machine Learning
Unknown Journal|2015
2k cit.
7
Brain tumor classification using deep CNN features via transfer learning
Computers in Biology and Medicine|2019
1.3k cit.
8
Multimodal classification of Alzheimer's disease and mild cognitive impairment
NeuroImage|2011
1.3k cit.
9
The Medical Segmentation Decathlon
Nature Communications|2022
1.2k cit.
10
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
Mathematical Problems in Engineering|2015
1.1k cit.

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