Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
Han, Changhee, Rundo, Leonardo, Araki, Ryosuke, Nagano, Yudai, Furukawa, Yujiro, Mauri, Giancarlo, Nakayama, Hideki, Hayashi, Hideaki·2019·IEEE Access
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- A Dual Autoencoder and Singular Value Decomposition Based Feature Optimization for the Detection of Brain Tumor from MRI ImagesK Aswani, D. Menaka · 2020
- A Non-Reversible Privacy Preservation Model for Outsourced High-Dimensional Healthcare DataSyed Usama Khalid Bukhari, Anum Qureshi, Adeel Anjum, Munam Ali Shah · 2021
- A Computationally-Inexpensive Strategy in CT Image Data Augmentation for Robust Deep Learning Classification of COVID-19Yikun Hou, Miguel Navarro‐Cía · 2022
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- Retracted: Deep Learning-Based Brain Tumour Detection Using Robust Active Shape Model AlgorithmRahul Mishra · 2023 · International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) · Retracted
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- Systematic Report on Exploration of Machine Learning Methods for Brain Tumor PredictionNadenlla RajamohanReddy, G. Muneeswari · 2023 · International Conference on Inventive Research in Computing Applications (ICIRCA)
- Classification of Thoracic Pathologies Including COVID-19 in Chest X-ray Images by Using Convolutional Neural NetworksPooyan Vajar · 2023
- Multimodal Brain Tumor Detection Using Loss Aware Residual UNet ModelAnushka Kesharwani, Rakesh Shivhare · 2023 · SMART MOVES JOURNAL IJOSCIENCE
- Deep Learning Approaches-Based Brain Tumor Detection Using MRI Images—A Comprehensive ReviewS. Santhana Prabha, D. Shanthi · 2024 · Lecture notes in networks and systems
- Comparison of generative adversarial networks for medical image generationDwiti Pandya, Tejal Patel, Dheeraj Kumar Singh · 2024 · AIP conference proceedings
- Enhanced Analysis: Gan-Based Medical Imaging Analysis for Brain Tumor DetectionL. Pallavi, Thati Ramya, Singupurapu Sai Charan, Sirigadha Amith, Thodupunuri Akshay Kumar · 2024 · SSRN Electronic Journal
- Enhanced Analysis: GAN-Based Medical Imaging Analysis for Brain Tumor DetectionThati Ramya, Singupurapu Sai Charan, Sirigadha Amith, Thodupunuri Akshay Kumar, L. Pallavi · 2024 · Research Square
- Optimized Deep Neural Network for Accurate Detection of Malignant and Benign Brain TumorsJ. Visumathi, N. Kalaivani, S V Hemanth, K. Balasubramanian, S. Karthikeyan, G. Amirthayogam · 2024 · International Conference on Artificial Intelligence for Internet of Things (AIIoT)
- Real-time GB pattern convolution neural network-based brain image classificationAmarendra Reddy Panyala, M. Baskar · 2024 · AIP conference proceedings
- Multi-GAN Aggregation with Style Enhancement for Improved Synthetic Brain Tumor Image GenerationNajme Zehra Naqvi, Pranjal Maheshwari, Pehu, Shritul Tiwari, Vanshika Moyal · 2024 · Information systems engineering and management
- Deep Learning-Based Brain Tumor Segmentation—An OverviewJyoti Kataria, Supriya P. Panda · 2024 · Lecture notes in networks and systems
- A Review of GAN-Synthesized Brain MR Image ApplicationsAnkita Tiwari, Sampada Tavse, Mrinal Rahul Bachute, Abhishek Bhola · 2024 · Advances in computational intelligence and robotics book series
- Bridging the gap: Understanding genetic discoveries through explainable artificial intelligenceR. S. M. Lakshmi Patibandla, D. Madhusudhana Rao, Y. Gokul · 2024 · Elsevier eBooks
- SGECG: A StarGAN-Based Framework for Intelligent ECG Generation and AugmentationLei Yao, Shiwen Sun, Rui Sun, Shili Liang, Lei Zhang · 2024 · International Conference on Electronic Information Engineering and Computer Science (EIECS)
- Hybrid Machine Learning Model with Textural Feature Analysis for Brain Tumour DetectionAmit Sharma, Sunny Arora · 2024 · Global AI Summit - International Conference on Artificial Intelligence and Emerging Technology (AI Summit)
- Generative Adversarial Networks in Brain Imaging: A Decade-Long Review of Progress and Future DirectionsHala Shaari · 2025 · Journal of Pure & Applied Sciences
- Deep Learning Model for Brain Tumor DetectionAbhishek Patel, Aditya Dhanraj, Aman Kumar, Amit Pandey, Ashwani Kumar · 2025 · International Conference on Disruptive Technologies (ICDT)
- Brain Tumor Classification Using Modified ResNet50Kuldeep Kumar Maury, Amrit Lal Sangal, Chetan Lohani · 2025 · International Conference on Electronics, AI and Computing (EAIC)
- Generative AI in neuroscience imaging: A reviewAws 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
- Generating High-Fidelity Synthetic ECG Signals Using Deep Autoencoder ArchitecturesAnisha Riya, Abdullah Bin Queyam · 2025 · Artificial Intelligence and Smart Technologies for Sustainability Conference (AISTS)
- Advanced Unsupervised Brain MRI Segmentation Through the Integration of Autoencoders and GANs for Anomaly DetectionP. Jayadharshini, Lalitha Krishnasamy, Muthuraman Saminathan, K. Vinoth, S. Sivaselvi, N. Abinaya · 2025 · International Conference on Sustainability, Innovation & Technology (ICSIT)
- Mapping urban built-up types from 2000 to 2022 at 10-m resolution using super-resolution of Landsat spectral-temporal metrics and center-patch classificationVu-Dong Pham, Franz Schug, David Frantz, Sebastian van der Linden · 2026 · Remote Sensing of Environment
- Advancements in Brain Tumor Detection: A Comprehensive Review of Machine Learning and Deep Learning ApproachesShibani Tripathy, Kakita Murali Gopal, Chandrakanta Mahanty · 2025 · International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU)
- Video Wind Turbine Recognition and Power Estimation Based on YOLOv10-C2B and Improved DeepSORTMinkai Wang, Mingxiang Yang, Yunzhong Jiang, Chenglin Li · 2026 · Lecture notes in electrical engineering
- Contrast-enhanced MRI segmentation and classification with optimized vector machine classifierAbdullah 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
- Principles, Capabilities, and Applications of Generative AISudhir K. Routray · 2026 · Advances in computational intelligence and robotics book series
- Deep learning techniques for brain tumor detection and classification: trends, challenges, and future directionsAlden Jenish Selvin Santhosh, Sindhia Lingaswamy, Karthik Ramamurthy · 2026 · Elsevier eBooks
- WEDGE-Net: Wavelet-Driven Memory-Efficient Anomaly Detection for Industrial Edge ComputingJoon-Min Park, Gye-Young Kim · 2026 · Sensors
- GAN-Based System for Systematic Medical Image GenerationPrashik Ahire, Shashank Bejgamwar, Sagar Akhade, V. B. Vaijapurkar · 2026 · Lecture notes in networks and systems
- Deep learning-based medical image generation using GANs and VAEs : insights from MRI, PET, and texture synthesisFarideh Bazangani · 2023
- Photorealistic Synthetic Human Face Generation Using Adversarial Network cDCGAN and StyleGAN With Text-Guided Feature ControlSaravanan NP, Sowmika A, S Sivaramasubramanian M R, Thivisha S · 2026 · International Conference on Communication, Computing and Emerging Technologies (IC3ET)
- A deep learning based NeuroFusionNet approach for automated brain tumor diagnosis from MRIOmara 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
- Mobile3ViT: An Improved Hybrid CNN‐Visual Transformer Model for Automatic Gastrointestinal Image RecognitionBo 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
- A novel hybrid framework integrating GA-driven 3D ResUNetGAN for MRI brain tumor segmentationMuthulakshmi K, Jayalakshmi Mohan · 2026 · PLoS ONE
- Evaluating Optimal Real-to-Synthetic Data Ratios for Deep Learning Classification: A Stable Diffusion Approach to Brain Tumor MRI GenerationDevang Pandey · 2025 · IEEE MIT Undergraduate Research Technology Conference (URTC)
- Generative and Foundation-Based Artificial Intelligence in Medical Imaging: A Bibliometric Analysis of Global and United Kingdom Research, 2017-2025Jatin Sridhar Naidu, Sonia Naidu, Vasanth Kumar Baskaradoss · 2026 · Cureus
- Evaluating GAN-Based Data Augmentation for Brain Tumor Segmentation Using Explainable AIMokara Praneetha, Raikindi Sravan Kumar, Mamta Narwaria, Renu Mishra · 2026 · International Conference on Data Science for Cyber-Physical Systems Resilience using Advanced Applications (ICDCA)
- Deep Convolutional Generative Adversarial Network MRI Deepfake using ResNet-50 and Inception V3 for Secure Medical Imaging SystemsSahil Sharma, Shruti Jain, Vikas Baghel · 2026 · International Conference on Sustainable Engineering and Technology Innovations (ICSETI)
- FCVGAN: A Novel Generative Framework Integrating Fuzzy C-Means Clustering with Conditional VAE-GAN for Polyp SegmentationNabil Marzoug, Moulay A. Akhloufi · 2026 · Sensors