Brain Tumor: Research, Papers and Researchers

01Research activity

Brain Tumor research by ScholarsColab researchers

What researchers combine with Brain Tumor

Words that appear most often in these paper titles. Tap one to see those papers.

Recent focus (2024 onwards): classification, learning, detection, deep, segmentation, image.

02Researchers

PhD researchers working on Brain Tumor

Every researcher below is registered on ScholarsColab and can be hired as a mentor or for a project. Publication counts are their papers on this topic.

Rajeev AgarwalLloyd Institute of Engineering & Technology, Greater Noida7 papers on this topic · 472 citationsSugandha SinghPhD6 papers on this topic · 25 citationsDr. Gouri Sankar MishraSharda University6 papers on this topic · 5 citationsMohamed Esmail KararMenoufia University5 papers on this topic · 706 citationsP M Durai Raj VincentProfessor in VIT University5 papers on this topic · 97 citationsMMohendra RoyPandit Deendayal Energy University5 papers on this topic · 71 citationsKDr Kapil NagwanshiGuru Ghasidas Vishwavidyalay (A Central Uni), Bilaspur5 papers on this topic · 8 citationsSanjay AgrawalVeer Surendra Sai University of Technology Burla India5 papers on this topic · 4 citationsSunaina SinghUPES3 papers on this topic · 2 citationsMuhammad SaleemAssistant Professor in Computer Science2 papers on this topic · 99 citationsVV K BairagiPune University2 papers on this topic · 85 citationsAnkit KumarAssistant Professor2 papers on this topic · 43 citationsShamik TiwariIILM University Gurugram2 papers on this topic · 20 citationsPankaj KasarGriffyn Robotech Private Ltd2 papers on this topic · 12 citationsUUsha Rani NelakuditiVFSTR Deemed to be University2 papers on this topic · 8 citationsHemant KumarChandigarh University2 papers on this topic · 7 citationsDr. K. DineshKONGU ENGINEERING COLLEGE2 papers on this topic · 6 citationsDr. Jawwad Sami Ur RahmanRiphah International University2 papers on this topic · 3 citationsNadir Mahammedesi sba2 papers on this topic · 3 citationsDr. Ramesh KaitKurukshetra University2 papers on this topic · 0 citationsAditya GuptaThapar University1 paper on this topic · 88 citationsSSiddhartha BhattacharyyaVSB Technical University of Ostrava, Czech Republic1 paper on this topic · 78 citationsTop 2% scientist · Artificial Intelligence & Image ProcessingMMasood Ur RehmanUniversity of Glasgow1 paper on this topic · 35 citationsIbrahim A. HameedProfessor1 paper on this topic · 28 citationsKKOUZOU ABDALLAHDjelfa University1 paper on this topic · 15 citationsNalini Kanta SahooDirector and Principal, MIT College of Pharmacy, MIT Campus, Ram Ganga vihar,…1 paper on this topic · 11 citationsYagnik PoshiyaIndependent Researcher1 paper on this topic · 7 citationsUdham SinghAssociate Professor1 paper on this topic · 7 citationsAsst. Prof. Dr. Ali H. WheebCollege of Engineering, University of Baghdad1 paper on this topic · 6 citationsDr Javed RashidUniversity of Okara1 paper on this topic · 5 citationsDr. A. SureshProfessor, School of Computing, SRM Institute of Science and Technology, SRM Nagar,…1 paper on this topic · 5 citationsAANNAPPANational Institute of Technology Karnataka Surathkal1 paper on this topic · 4 citationsMMichel OwayjanAmerican University of Science & Technology1 paper on this topic · 4 citationsDr. Sherin Shibi CSRM Institute of Science and Technology1 paper on this topic · 4 citationsP. JayadharshiniKONGU ENGINEERING COLLEGE1 paper on this topic · 4 citationsPriyam GangulyHanwha QCELLS America Inc1 paper on this topic · 3 citationsDr. Yusuf PerwejPh.D1 paper on this topic · 3 citationsKATTUPALLI SUDHAKARDEPARTMENT OF AI&DS, LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING1 paper on this topic · 3 citationsShashank YadavRajkiya Engineering College, Kanauj1 paper on this topic · 3 citationsDivya RayavarapuAditya University1 paper on this topic · 3 citationsDr. Mohammad Aman UllahAssociate Professor, Department of CSE, International Islamic University Chittagong1 paper on this topic · 2 citationsRoseline Oluwaseun OgundokunRedeemer's University Ede, Osun State1 paper on this topic · 2 citationsDr.Nijaguna G SVTU1 paper on this topic · 2 citationsMDr. Mallikharjuna Rao KPhD1 paper on this topic · 1 citationsDr. Sakshi AroraShree Mata Vaishno Devi University1 paper on this topic · 1 citationsDr Udaya Kumar AddankiAnurag University1 paper on this topic · 0 citationsMd.Faishal Ahmed RudroStudent1 paper on this topic · 0 citationsIlias ElmoukiEHTP1 paper on this topic · 0 citationsDr Senbagavalli MAssociate Professor, Alliance University, Bangalore, Karnataka1 paper on this topic · 0 citationsAjmer Singh GrewalGuru Gobind Singh College of Pharmacy, Yamuna Nagar, Haryana, India1 paper on this topic · 0 citationsTop 2% scientist · Medicinal & Biomolecular ChemistryKATTUPALLI SUDHAKARDEPARTMENT OF AI&DS, LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING1 paper on this topic · 0 citationsDr. Shamneesh SharmaupGrad Education Private Limited, Bangalore, Karnataka, India1 paper on this topic · 0 citationsDr. Deepak DudejaMaharishi Markandeshwar (Deemed to be University), Mullana, Ambala1 paper on this topic · 0 citationsDr. Anita SardanaJUIT, Solan1 paper on this topic · 0 citationsM. MuthurajaKONGU ENGINEERING COLLEGE1 paper on this topic · 0 citationsDibyanarayan HazraAssistant Professor, IILM University1 paper on this topic · 0 citationsDr Gnanajeyaraman RajaramSaveetha university1 paper on this topic · 0 citationsDr. Saroj Kumar PandeyGLA University1 paper on this topic · 0 citationsDr. Sandeep K VDayananda Sagar College of Engineering1 paper on this topic · 0 citationsK. SujathaProfessor, EEE Department, Dr. M.G.R. Educational and Research Institute1 paper on this topic · 0 citationsVVanathi MAssistant Professor1 paper on this topic · 0 citationsSuleman KtkUniversity of Science and Technology Bannu Pakistan1 paper on this topic · 0 citationsDr. Preeti RaniCCSIT, Teerthanker Mahaveer University, Moradabad1 paper on this topic · 0 citationsYogesh H. BhosaleCSMSS Chh. Shahu College of Engineering1 paper on this topic · 0 citations

03Research codes

Brain Tumor research codes

Ready-to-run code on ScholarsColab for Brain Tumor research. Our PhD researchers can help you adapt it to your own data, validate the results and write them up.

04Papers

Research papers on Brain Tumor

1. A transfer learning approach for AI-based classification of brain tumors2020373 citationsMachine Learning With ApplicationsRajeev Agarwal
2. DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images2020309 citationsInternational Journal of Computer Assisted Radiology and SurgeryMohamed Esmail Karar
3. Explainability of deep neural networks for MRI analysis of brain tumors2022191 citationsInternational Journal of Computer Assisted Radiology and SurgeryMohamed Esmail Karar
4. Multimodal CNN networks for brain tumor segmentation in MRI: a BraTS 2022 challenge solution2022104 citationsMohamed Esmail Karar
5. A transfer learning-based brain tumor classification using magnetic resonance images202488 citationsMultimedia Tools and ApplicationsAditya Gupta
6. The brain tumor sequence registration (BraTS-Reg) challenge: Establishing correspondence between pre-operative and follow-up MRI scans of diffuse glioma patients202186 citationsMohamed Esmail Karar
7. Qutrit-inspired fully self-supervised shallow quantum learning network for brain tumor segmentation202178 citationsIEEE Transactions on Neural Networks and Learning SystemsSiddhartha Bhattacharyya
8. Identification and prediction of brain tumor using VGG-16 empowered with explainable artificial intelligence202361 citationsInternational Journal of Computational and Innovative SciencesMuhammad Saleem
9. Detection and classification of brain tumor in MRI images using wavelet transform and support vector machine202052 citationsJournal of Interdisciplinary MathematicsRajeev Agarwal
10. Automatic brain tumor detection using CNN transfer learning approach202348 citationsMedical and Biological Engineering and ComputingV K Bairagi
11. MRI brain tumor segmentation using residual Spatial Pyramid Pooling-powered 3D U-Net202342 citationsFrontiers in Public HealthP M Durai Raj Vincent
12. An early diagnosis of brain tumor using fused transfer learning202338 citationsMuhammad Saleem
13. A hybrid method for brain tumor detection using advanced textural feature extraction202037 citationsBiomedical and Pharmacology JournalV K Bairagi
14. Explainable CNN for brain tumor detection and classification through XAI based key features identification202535 citationsBrain InformaticsMasood Ur Rehman
15. Interpretable machine learning model to predict survival days of malignant brain tumor patients202332 citationsMachine Learning: Science and TechnologyMohendra Roy
16. Deep autoencoder-decoder framework for semantic segmentation of brain tumor201928 citationsIbrahim A. Hameed
17. Brain tumor detection using CNN, AlexNet & GoogLeNet ensembling learning approaches.202327 citationsElectronic Research ArchiveAnkit Kumar
18. An efficient hybrid fuzzy-clustering driven 3D-modeling of magnetic resonance imagery for enhanced brain tumor diagnosis202024 citationsElectronicsP M Durai Raj Vincent
19. An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion‐based machine learning techniques202423 citationsInternational Journal of Imaging Systems and TechnologyRajeev Agarwal
20. Brain tumor classification using a pre-trained auxiliary classifying style-based generative adversarial network202420 citationsInternational Journal of Interactive Multimedia and Artificial IntelligenceP M Durai Raj Vincent
21. Brain tumor detection using curvelet transform and support vector machine201420 citationsInternational Journal of Computer Science and Mobile ComputingShamik Tiwari
22. A triplanar ensemble model for brain tumor segmentation with volumetric multiparametric magnetic resonance images202418 citationsHealthcare AnalyticsMohendra Roy
23. Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM202316 citationsScientific ReportsAnkit Kumar
24. NeuroIGN: Explainable Multimodal Image-Guided System for Precise Brain Tumor Surgery202416 citationsJournal of Medical SystemsMohamed Esmail Karar
25. Federated learning for multi-institutional on 3d brain tumor segmentation202415 citationsKOUZOU ABDALLAH
26. Multi-view brain tumor segmentation (MVBTS): An ensemble of planar and triplanar attention UNets202313 citationsTurkish Journal of Electrical Engineering and Computer SciencesMohendra Roy
27. A novel scheme for detection & feature extraction of brain tumor by magnetic resonance modality using DWT & SVM202013 citationsRajeev Agarwal
28. Classification and segmentation of MRI images of brain tumors using deep learning and hybrid approach202412 citationsInternational Journal of Electrical and Computer Engineering SystemsSugandha Singh
29. Brain tumor detection using ANFIS classifier and segmentation202211 citationsNalini Kanta Sahoo
30. MRI modality-based brain tumor segmentation using deep neural networks20219 citationsPankaj Kasar
31. Brain Tumor Class Detection in Flair/T2 Modality MRI Slices Using Elephant-Herd Algorithm Optimized Features20238 citationsDiagnosticsP M Durai Raj Vincent
32. Brain Tumor Image Segmentation using Box-Unet Architecture20237 citationsYagnik Poshiya
33. Biologically Inspired CNN Network for Brain Tumor Abnormalities Detection and Features Extraction from MRI Images20227 citationsHuman-centric Computing and Information SciencesUdham Singh
34. Neural network and wavelet-based study on classification and analysis of brain tumor using MR images20197 citationsRajeev Agarwal
35. Optimal Segmentation of Brain Tumors using DRLSE Level Set20116 citationsInternational Journal of Computer ApplicationsUsha Rani Nelakuditi
36. Enhancing brain tumor classification with optimized convolutional neural networks20236 citationsDr. K. Dinesh
37. Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning20246 citationsAsst. Prof. Dr. Ali H. Wheeb
38. A Fine Tuned Pre-trained Model for Classification of Brain Tumor using Magnetic Resonance Imaging20246 citationsSugandha Singh
39. Improved brain tumor classification through DenseNet121 based transfer learning20255 citationsDiscover OncologyDr Javed Rashid
40. NeuroInsight: a revolutionary self-adaptive framework for precise brain tumor classification in medical imaging using adaptive deep learning20255 citationsSignal, Image and Video ProcessingDr. Gouri Sankar Mishra
41. Automated Brain Tumor Classification of Different Types of Tumors Using Convolutional Neural Network of Multi Label MRI Scans20235 citationsDr. A. Suresh
42. 3d attu-net for brain tumor segmentation with a novel loss function20234 citationsANNAPPA
43. Deriving and interpreting robust features for survival prediction of brain tumor patients20244 citationsInternational Journal of Imaging Systems and TechnologyMohendra Roy
44. Interpretability of segmentation and overall survival for brain tumors20234 citationsMohendra Roy
45. Brain Tumor Classification Using Back Propagation Algorithm in MLP20194 citationsMichel Owayjan
46. An effective transfer learning model for multiclass brain tumor classification using MRI images20234 citationsDr. Sherin Shibi C
47. Deep Convolutional Network‐Based Probabilistic Selection Approach for Multiclassification of Brain Tumors Using Magnetic Resonance Imaging20254 citationsInternational Journal of Intelligent SystemsRajeev Agarwal
48. Advancing Brain Tumor Diagnosis through Machine Learning and the Power of Combined CNN and RNN in Medical Imaging20234 citationsP. Jayadharshini
49. A hybrid EfficientNetB0-XGBoost framework for efficient brain tumor classification using MRI images20254 citationsHemant Kumar
50. Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach20243 citationsPriyam Ganguly
51. Enhanced Brain Tumor Diagnosis Using Transfer Learning with Vision Transformers and Topological Data Analysis20253 citationsProcedia computer scienceDr Kapil Nagwanshi
52. Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification20223 citationsDr Kapil Nagwanshi
53. The Role of OpenCV in Enhancing Brain Tumor Image Segmentation: A Review of Recent Developments and Challenges3 citationsInternational Journal of Creative Research Thoughts (IJCRT)Dr. Yusuf Perwej
54. Thejineaswar Guhan, Kathiravan Srinivasan, PM Durai Raj Vincent, and Chuan-Yu Chang. Mri brain tumor segmentation using residual spatial pyramid pooling-powered 3d u-net20233 citationsFrontiers in Public HealthP M Durai Raj Vincent
55. Recognition of Brain Tumors using Convolutional Neural Networks20233 citationsKATTUPALLI SUDHAKAR
56. Brain tumor diagnosis using hybrid pre-trained CNN-SVM20243 citationsShashank Yadav
57. Advanced imaging technique-based brain tumor segmentation using ResNET-50 CNN20243 citationsDr. Jawwad Sami Ur Rahman
58. An hyperparameter optimization study of brain tumor medical image segmentation using U-net20223 citationsTurkish Journal of Computer and Mathematics EducationNadir Mahammed
59. Optimizing brain tumor detection in MRI scans through InceptionResNetV2 and deep stacked Autoencoders with SwiGLU activation and sparsity regularization20253 citationsMethodsXHemant Kumar
60. MRI Brain Tumor Prediction using Azure Streamlit Framework and Analysis of CNN Activation Functions20233 citationsIndian Journal of Science and TechnologySugandha Singh
61. Interpolation Method for Identification of Brain Tumor from Magnetic Resonance Images20233 citationsInternational Journal of Engineering and ManufacturingSugandha Singh
62. Brain Tumor Segmentation Using U-Net and SegNet20243 citationsPankaj Kasar
63. An Efficient Model for Brain Tumor Classification Through Transfer Learning Approaches20243 citationsDivya Rayavarapu
64. CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification20252 citationsJournal of Computational and Cognitive EngineeringDr Kapil Nagwanshi
65. Transfer learning based brain tumor multi-class classification20232 citationsUsha Rani Nelakuditi
66. Enhanced Classification of Brain Tumors from MRI Scans Using a Hybrid CNN-Transformer Model20252 citationsDr. Mohammad Aman Ullah
67. Hybrid Deep Transfer Learning for Enhanced Brain Tumor Detection through the Integration of MobileNetV2 and InceptionV320252 citationsProcedia computer scienceRoseline Oluwaseun Ogundokun
68. Quantum squirrel search algorithm based support vector machine algorithm for brain tumor classification20242 citationsInternet Technology LettersDr.Nijaguna G S
69. Residual Shufflenet with Optimization: A Novel Approach for Brain Tumor Detection in MRI Images20251 citationsInternational Journal of BiomathematicsDr. Mallikharjuna Rao K
70. Beyond the Surface: Exploring Segmentation Techniques in DL for Early Brain Tumor Detection20241 citationsSunaina Singh
71. MRI Image Classification and Analysis for Brain Tumor Diagnosis: A Review using DL Techniques20241 citationsSunaina Singh
72. Genomic and genetic levels alteration in brain tumor20241 citationsDr. Sakshi Arora
73. Brain Tumor Segmentation/Detection using Transfer Learning with VGG1920231 citationsSanjay Agrawal
74. Multi-grade brain tumor classification using a modified convolutional neural network20231 citationsSanjay Agrawal
75. Active Contour with Adaptive Timestep for Brain Tumor Segmentation20221 citationsSanjay Agrawal
76. A Study on Brain Tumor Analysis Using Deep Learning Methods20221 citationsSanjay Agrawal
77. Enhanced Brain Tumor Classification using Ensemble Machine Learning20251 citationsSugandha Singh
78. Deep learning-Based Brain Tumor Detection: Comparative Evaluation of Transfer Learning Architectures in MRI Analysis20230 citationsDr Udaya Kumar Addanki
79. Enhancing brain tumor diagnosis: the role of topological features in deep learning approaches20260 citationsBiomedical Signal Processing and ControlDr Kapil Nagwanshi
80. Integrating pyramid vision transformer and topological data analysis for brain tumor20250 citationsFrontiers in Computer ScienceDr Kapil Nagwanshi
81. An Explainable SSL-Based Model for Robust Multi-Class Brain Tumor Classification from MRI Images20250 citationsMd.Faishal Ahmed Rudro
82. Neural Networks In Medical Neuroimaging: Advancing Detection And Treatment Of Neurological Disorders And Brain Tumors20250 citationsJournal of CarcinogenesisIlias Elmouki
83. An Effective and Deep Neural Network for Brain Tumor Segmentation and Detection20230 citationsDr Senbagavalli M
84. Phytopharmaceuticals for Brain Tumor: Opportunities and Challenges20250 citationsAjmer Singh Grewal
85. Quick Detection of Brain Tumors20160 citationsInternational Journal of Computer Science and Mechatronics-IJCSMKATTUPALLI SUDHAKAR
86. A sequential CNN framework for accurate brain tumor detection and subtyping20260 citationsDr. Shamneesh Sharma
87. An Overview of Machine Learning and Deep Learning Approaches to Brain Tumor Detection and Classification20250 citationsDr. Deepak Dudeja
88. Role of Capsule Network Model in Brain Tumor Analysis and Detection: A Review20240 citationsSunaina Singh
89. Segmentation of Brain Tumor Magnetic Resonance Imaging using Convolutional Neural Networks20250 citationsDr. Anita Sardana
90. Classification of Brain Tumor Detection using Fast Boundary Analysis by Multi feature Classification20160 citationsM. Muthuraja
91. Multi-Modal Brain Tumor Segmentation Using Optimized MedNet++20250 citationsDr. K. Dinesh
92. Image Segmentation Techniques for Brain Tumor Detection: A Review20230 citationsGrenze International Journal of Engineering & Technology (GIJET)Dr. Ramesh Kait
93. An Efficient Methodology for Brain Tumor Segmentation Using Genetic Algorithm and ANN Techniques.20230 citationsDr. Ramesh Kait
94. Generalized framework using Federated Learning for brain tumor detection from medical images20250 citationsDibyanarayan Hazra
95. Hybrid Deep Learning Model for Brain Tumor Detection Using SqueezeNet and BiLSTM20250 citationsDr Gnanajeyaraman Rajaram
96. Development of a Hybrid Deep Learning model with self-adaptive noise resilience for accurate brain tumor detection in MRI scans20250 citationsJournal of Integrated Science and TechnologyDr. Gouri Sankar Mishra
97. Deep Learning in Brain Tumor Recognition:“A Critical Review of Techniques, Limitations, and Future Prospects”20240 citationsDr. Gouri Sankar Mishra
98. Revolutionizing MRI-Based Brain Tumor Classification with BrainMRI-NetX for Superior Accuracy and Reliability20240 citationsDr. Gouri Sankar Mishra
99. Adaptive Loss and Deep Convolutional Neural Networks: A Blending Approach to Self-adaptive Deep Learning Models for Brain Tumor Classification20230 citationsDr. Gouri Sankar Mishra
100. Study of Deep Learning-Based Segmentation and Classification of Brain Tumors in MRI Images20230 citationsDr. Gouri Sankar Mishra
101. Deep Tripartite Architecture for Precise MRI-Based Brain Tumor Classification Using CNN and SVM Fusion20250 citationsBiomedical Materials and DevicesDr. Saroj Kumar Pandey
102. A review/survey paper on Nanobots in Medical Applications for brain tumor detections20230 citationsInternational Journal of Engineering Technology and Management ScienceDr. Sandeep K V
103. A Leakage‐Resistant Spatially Weighted Active Contour for Brain Tumor Segmentation20250 citationsInternational Journal of Imaging Systems and TechnologySanjay Agrawal
104. Brain Tumor Detection and Diagnosis using Biomedical Sensors and Secure Hybrid Cloud20150 citationsK. Sujatha
105. Identification of Brain Tumor using Neural Network and Support Vector Machine0 citationsShamik Tiwari
106. Hybrid method of brain tumor detection using Fuzzy K-means20240 citationsDr. Jawwad Sami Ur Rahman
107. An Optimized Transfer Learning Based Framework for Brain Tumor Classification0 citationsRajeev Agarwal
108. An Explainable Machine Learning Model for Early Detection of Brain Tumors: Integrating Multi-Modal Medical Imaging and Intelligent Feature Fusion20250 citationsEngineering, Technology and Applied Science ResearchVanathi M
109. DEEP LEARNING IN NEURO-IMAGING: A CNN-BASED HYBRID ARCHITECTURE INTEGRATING MRI AND IMAGE-PROCESSING TECHNIQUES FOR ACCURATE BRAIN TUMOR DETECTION AND CLASSIFICATION0 citationsSuleman Ktk
110. A Study of Brain Tumor Medical Image Segmentation Using U-net20220 citationsNadir Mahammed
111. AI-Powered Early Brain Tumor Diagnosis Thorough: Enhancing Neurodiagonistics and Brain Tumor Detection20250 citationsDr. Preeti Rani
112. A COMPARATIVE STUDY OF SEGMENTATION TECHNIQUES FOR IDENTIFICATION OF BRAIN TUMOR FROM MAGNETIC RESONANCE IMAGES0 citationsSugandha Singh
113. Transformer CNN Framework Optimized by Tornado Optimization Algorithm for Brain Tumor Segmentation and Classification.20260 citationsInternational Journal of Intelligent Engineering and SystemsYogesh H. Bhosale

05Journals

Journals that publish Brain Tumor research

Where our researchers published their papers on this topic, with each journal’s indexing.

*Impact factor and quartile calculated from OpenAlex open data where available; official Journal Impact Factors are published by Clarivate. Indexing from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists. Find the right journal for your own paper →

06Top 2% scientists

World’s Top 2% scientists in Neurology & Neurosurgery

The Stanford/Elsevier World’s Top 2% Scientists list ranks researchers by a composite citation indicator. Neurology & Neurosurgery is the research subfield closest to Brain Tumor in that list; 7,826 researchers from 65 countries are listed in it.

Source: Elsevier Data Repository, Ioannidis et al., 2026 edition, citations to the end of 2025 (career-long ranking). ScholarsColab is not affiliated with Stanford University or Elsevier, and the researchers listed are not ScholarsColab mentors unless marked so above.

07Related topics

Topics related to Brain Tumor

Topics that share the most papers with Brain Tumor in our researchers’ work:

• Medical Imaging24 papers · 31 researchers
• Deep Learning (DL)968 papers · 331 researchers
• Deep Neural Network75 papers · 53 researchers
• Neural Network819 papers · 267 researchers
• Explainable Artificial Intelligence (XAI)36 papers · 22 researchers
• Federated Learning (FL)112 papers · 65 researchers
• Machine Learning (ML)1,348 papers · 424 researchers
• Artificial Intelligence (AI)1,196 papers · 404 researchers

08Questions

Frequently asked questions