Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection

Cited by (252)

Items 201–252 of 252

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  2. Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation
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  3. An Efficient Approach based on Machine Learning for Diagnosis of Brain Tumors
    Ashish Bhatt, Vineeta Saxena Nigam · 2021 · Journal of Emerging Technologies and Innovative Research
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    Mustafa Furkan Eseoğlu, Mine Elif Karsligil, İsmail Koçak · 2021 · Signal Processing and Communications Applications Conference (SIU)
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    Syed Usama Khalid Bukhari, Anum Qureshi, Adeel Anjum, Munam Ali Shah · 2021
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    Kuei‐Chung Chang, Shi-Hong Lin, Jun-Wei Huang, Yi-Fong Wu · 2021 · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)
  7. A Dual Autoencoder and Singular Value Decomposition Based Feature Optimization for the Detection of Brain Tumor from MRI Images
    K Aswani, D. Menaka · 2020
  8. A Non-Reversible Privacy Preservation Model for Outsourced High-Dimensional Healthcare Data
    Syed Usama Khalid Bukhari, Anum Qureshi, Adeel Anjum, Munam Ali Shah · 2021
  9. A Computationally-Inexpensive Strategy in CT Image Data Augmentation for Robust Deep Learning Classification of COVID-19
    Yikun Hou, Miguel Navarro‐Cía · 2022
  10. Investigation of Brain Tumors Detection using Automatic Segmentation Techniques
    Amar Saraswat, Neeta Sharma, Anupam Dalal · 2022 · International Conference on Artificial Intelligence and Speech Technology (AIST)
  11. Retracted: Deep Learning-Based Brain Tumour Detection Using Robust Active Shape Model Algorithm
    Rahul Mishra · 2023 · International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) · Retracted
  12. Textural Analysis of MRI Scan Using Radon Transform
    Kesang Chomu Basi, Archit Ajay Yajnik · 2023 · Lecture notes in electrical engineering
  13. Analysis of Brain Tumor Detection Techniques
    Aparna Das, Mrs. Keshika Jangde, Mrs. Debshree Bhattacharya · 2023 · International Journal for Research in Applied Science and Engineering Technology
  14. Systematic Report on Exploration of Machine Learning Methods for Brain Tumor Prediction
    Nadenlla RajamohanReddy, G. Muneeswari · 2023 · International Conference on Inventive Research in Computing Applications (ICIRCA)
  15. Classification of Thoracic Pathologies Including COVID-19 in Chest X-ray Images by Using Convolutional Neural Networks
    Pooyan Vajar · 2023
  16. Multimodal Brain Tumor Detection Using Loss Aware Residual UNet Model
    Anushka Kesharwani, Rakesh Shivhare · 2023 · SMART MOVES JOURNAL IJOSCIENCE
  17. Deep Learning Approaches-Based Brain Tumor Detection Using MRI Images—A Comprehensive Review
    S. Santhana Prabha, D. Shanthi · 2024 · Lecture notes in networks and systems
  18. Comparison of generative adversarial networks for medical image generation
    Dwiti Pandya, Tejal Patel, Dheeraj Kumar Singh · 2024 · AIP conference proceedings
  19. Enhanced Analysis: Gan-Based Medical Imaging Analysis for Brain Tumor Detection
    L. Pallavi, Thati Ramya, Singupurapu Sai Charan, Sirigadha Amith, Thodupunuri Akshay Kumar · 2024 · SSRN Electronic Journal
  20. Enhanced Analysis: GAN-Based Medical Imaging Analysis for Brain Tumor Detection
    Thati Ramya, Singupurapu Sai Charan, Sirigadha Amith, Thodupunuri Akshay Kumar, L. Pallavi · 2024 · Research Square
  21. Optimized Deep Neural Network for Accurate Detection of Malignant and Benign Brain Tumors
    J. Visumathi, N. Kalaivani, S V Hemanth, K. Balasubramanian, S. Karthikeyan, G. Amirthayogam · 2024 · International Conference on Artificial Intelligence for Internet of Things (AIIoT)
  22. Real-time GB pattern convolution neural network-based brain image classification
    Amarendra Reddy Panyala, M. Baskar · 2024 · AIP conference proceedings
  23. Multi-GAN Aggregation with Style Enhancement for Improved Synthetic Brain Tumor Image Generation
    Najme Zehra Naqvi, Pranjal Maheshwari, Pehu, Shritul Tiwari, Vanshika Moyal · 2024 · Information systems engineering and management
  24. Deep Learning-Based Brain Tumor Segmentation—An Overview
    Jyoti Kataria, Supriya P. Panda · 2024 · Lecture notes in networks and systems
  25. A Review of GAN-Synthesized Brain MR Image Applications
    Ankita Tiwari, Sampada Tavse, Mrinal Rahul Bachute, Abhishek Bhola · 2024 · Advances in computational intelligence and robotics book series
  26. Bridging the gap: Understanding genetic discoveries through explainable artificial intelligence
    R. S. M. Lakshmi Patibandla, D. Madhusudhana Rao, Y. Gokul · 2024 · Elsevier eBooks
  27. SGECG: A StarGAN-Based Framework for Intelligent ECG Generation and Augmentation
    Lei Yao, Shiwen Sun, Rui Sun, Shili Liang, Lei Zhang · 2024 · International Conference on Electronic Information Engineering and Computer Science (EIECS)
  28. Hybrid Machine Learning Model with Textural Feature Analysis for Brain Tumour Detection
    Amit Sharma, Sunny Arora · 2024 · Global AI Summit - International Conference on Artificial Intelligence and Emerging Technology (AI Summit)
  29. Generative Adversarial Networks in Brain Imaging: A Decade-Long Review of Progress and Future Directions
    Hala Shaari · 2025 · Journal of Pure & Applied Sciences
  30. Deep Learning Model for Brain Tumor Detection
    Abhishek Patel, Aditya Dhanraj, Aman Kumar, Amit Pandey, Ashwani Kumar · 2025 · International Conference on Disruptive Technologies (ICDT)
  31. Brain Tumor Classification Using Modified ResNet50
    Kuldeep Kumar Maury, Amrit Lal Sangal, Chetan Lohani · 2025 · International Conference on Electronics, AI and Computing (EAIC)
  32. Generative AI in neuroscience imaging: A review
    Aws I. AbuEid, Mohammed Ahmed Elhossiny, Marwa Anwar Ibrahim Elghazawy, Abdelnasser Saber Mohamed, Achraf Ben Miled, Firas M. Allan, Shouki A. Ebad, José Escorcia‐Gutierrez · 2025 · International Journal of ADVANCED AND APPLIED SCIENCES
  33. Generating High-Fidelity Synthetic ECG Signals Using Deep Autoencoder Architectures
    Anisha Riya, Abdullah Bin Queyam · 2025 · Artificial Intelligence and Smart Technologies for Sustainability Conference (AISTS)
  34. Advanced Unsupervised Brain MRI Segmentation Through the Integration of Autoencoders and GANs for Anomaly Detection
    P. Jayadharshini, Lalitha Krishnasamy, Muthuraman Saminathan, K. Vinoth, S. Sivaselvi, N. Abinaya · 2025 · International Conference on Sustainability, Innovation & Technology (ICSIT)
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    Vu-Dong Pham, Franz Schug, David Frantz, Sebastian van der Linden · 2026 · Remote Sensing of Environment
  36. Advancements in Brain Tumor Detection: A Comprehensive Review of Machine Learning and Deep Learning Approaches
    Shibani Tripathy, Kakita Murali Gopal, Chandrakanta Mahanty · 2025 · International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU)
  37. Video Wind Turbine Recognition and Power Estimation Based on YOLOv10-C2B and Improved DeepSORT
    Minkai Wang, Mingxiang Yang, Yunzhong Jiang, Chenglin Li · 2026 · Lecture notes in electrical engineering
  38. Contrast-enhanced MRI segmentation and classification with optimized vector machine classifier
    Abdullah Ali M Asiri, Toufique Ahmed Soomro, Faisal Bin Ubaid, Fayyaz Ali Jandan, Muhammad Irfan, Khlood Mohammed Mehdar, Magbool Alelyani, Mohammed S. Alshuhri, Ahmad Alghamdi, Sultan Alamri · 2026 · PeerJ Computer Science
  39. Principles, Capabilities, and Applications of Generative AI
    Sudhir K. Routray · 2026 · Advances in computational intelligence and robotics book series
  40. Deep learning techniques for brain tumor detection and classification: trends, challenges, and future directions
    Alden Jenish Selvin Santhosh, Sindhia Lingaswamy, Karthik Ramamurthy · 2026 · Elsevier eBooks
  41. WEDGE-Net: Wavelet-Driven Memory-Efficient Anomaly Detection for Industrial Edge Computing
    Joon-Min Park, Gye-Young Kim · 2026 · Sensors
  42. GAN-Based System for Systematic Medical Image Generation
    Prashik Ahire, Shashank Bejgamwar, Sagar Akhade, V. B. Vaijapurkar · 2026 · Lecture notes in networks and systems
  43. Deep learning-based medical image generation using GANs and VAEs : insights from MRI, PET, and texture synthesis
    Farideh Bazangani · 2023
  44. Photorealistic Synthetic Human Face Generation Using Adversarial Network cDCGAN and StyleGAN With Text-Guided Feature Control
    Saravanan NP, Sowmika A, S Sivaramasubramanian M R, Thivisha S · 2026 · International Conference on Communication, Computing and Emerging Technologies (IC3ET)
  45. A deep learning based NeuroFusionNet approach for automated brain tumor diagnosis from MRI
    Omara Mustafa, Salem Alhatamleh, Hamad Yahia Abu Mhanna, Abdallah Almahmoud, Rami Malkawi, Majd Malkawi, Abdel-Baset Bani Yaseen, Hanan Akhdar, Hatem Malkawi, Fatimah Maashey et al. · 2026 · Frontiers in Neuroinformatics
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    Bo Ye, G Zhang, Wei Zha, Jianglin Zhang, Guangzheng Gao, Jie Yang, Quanxing Ye, Shuting Hu, Lalit Garg, Amit Krishna Dwivedi et al. · 2026 · Natural Sciences
  47. A novel hybrid framework integrating GA-driven 3D ResUNetGAN for MRI brain tumor segmentation
    Muthulakshmi K, Jayalakshmi Mohan · 2026 · PLoS ONE
  48. Evaluating Optimal Real-to-Synthetic Data Ratios for Deep Learning Classification: A Stable Diffusion Approach to Brain Tumor MRI Generation
    Devang Pandey · 2025 · IEEE MIT Undergraduate Research Technology Conference (URTC)
  49. Generative and Foundation-Based Artificial Intelligence in Medical Imaging: A Bibliometric Analysis of Global and United Kingdom Research, 2017-2025
    Jatin Sridhar Naidu, Sonia Naidu, Vasanth Kumar Baskaradoss · 2026 · Cureus
  50. Evaluating GAN-Based Data Augmentation for Brain Tumor Segmentation Using Explainable AI
    Mokara Praneetha, Raikindi Sravan Kumar, Mamta Narwaria, Renu Mishra · 2026 · International Conference on Data Science for Cyber-Physical Systems Resilience using Advanced Applications (ICDCA)
  51. Deep Convolutional Generative Adversarial Network MRI Deepfake using ResNet-50 and Inception V3 for Secure Medical Imaging Systems
    Sahil Sharma, Shruti Jain, Vikas Baghel · 2026 · International Conference on Sustainable Engineering and Technology Innovations (ICSETI)
  52. FCVGAN: A Novel Generative Framework Integrating Fuzzy C-Means Clustering with Conditional VAE-GAN for Polyp Segmentation
    Nabil Marzoug, Moulay A. Akhloufi · 2026 · Sensors