Deep MRI brain extraction: A 3D convolutional neural network for skull stripping
Kleesiek, Jens, Urban, Gregor, Hubert, Alexander, Schwarz, Daniel, Maier-Hein, Klaus, Bendszus, Martin, Biller, Armin·2016·NeuroImage
Cited by (503)
Items 401–500 of 503
- Advances in Brain Tumor Segmentation and Skull Stripping: A 3D Residual Attention U-Net ApproachTamara A. Dawood, Ashwaq Talib Hashim, Ahmed R. Nasser · 2023 · Traitement du signal
- Performance Evaluation of Vanilla, Residual, and Dense 2D U-Net Architectures for Skull Stripping of Augmented 3D T1-Weighted MRI Head ScansAnway S. Pimpalkar, Rashmika Patole, Ketaki D. Kamble, Mahesh Shindikar · 2024 · Communications in computer and information science
- Robust Bayesian brain extraction by integrating structural subspace-based spatial prior into deep neural networksYunpeng Zhang, Huixiang Zhuang, Yue Guan, Yao Li · 2025 · Computerized Medical Imaging and Graphics
- PigBET: A 2.5D deep learning segmentation framework for multimodal and longitudinal domestic pig MRI utilizing ImageNet pre-trained encodersZimu Li, Loretta T. Sutkus, Joanne E. Fil, Pradeep Senthil, Fan Lam, Bradley P. Sutton, Ryan N. Dilger · 2025 · Brain Organoid and Systems Neuroscience Journal
- AI-enhanced diagnosis of very late-onset schizophrenia-like psychosis: A step toward preventing dementia in older adultsAli Allahgholi, Ava Mazhari · 2025 · Neuroscience Informatics
- GOUHFI: A novel contrast- and resolution-agnostic segmentation tool for ultra-high-field MRIMarc-Antoine Fortin, Anne Louise Kristoffersen, Michael Staff Larsen, Laurent Lamalle, Rüdiger Stirnberg, Pål Erik Goa · 2025 · Imaging Neuroscience
- 3D Brain Extraction from Magnetic Resonance Imaging Using Knowledge DistillationKali Gürkahraman, Ahmet Fırat Yelkuvan, Rukiye Karakış · 2025 · Annals of Computer Science and Information Systems
- Irrelevance discriminative network for enhancing cross-center generalization in medical imaging segmentationYibin Lin, Dongming Li, Xiao Chen, Wude He, Qi Guan, Danru Chen, Anguo Zhang, Xiaorong Yan, Yang Sun · 2025 · Engineering Applications of Artificial Intelligence
- Automatic Skull Stripping for CT Images of Traumatic Brain Injuries (TBI)Minhazur Rahman, Bikash Upadhyay, Rosy Sarmah · 2025 · Journal of Transformative Technologies and Sustainable Development
- Classification of dysphagia severity after lateral medullary infarction with deep learningTaeheon Lee, Bo Hae Kim, Kihwan Nam, Jin-Woo Park · 2026 · Scientific Reports
- A comprehensive review of deep learning algorithms for imbalance medical image processing: recent developments and future opportunitiesShaik Tippu Sulthan, A Ajina · 2026 · Journal of Electrical Systems and Information Technology
- Optimizing Deep Learning for Brain Tumor Classification: A Comparative Ablation Study of Preprocessing and Augmentation StrategiesLatchan Chhetri, Aman Kumar · 2026 · IEEE Guwahati Subsection Conference (GCON)
- Supervised Dimension-Reduction Methods for Brain Tumor Image Data AnalysisAtsushi Kawaguchi · 2017 · Springer eBooks
- Brain Volume Segmentation Outliers Correction in Structural MRI ImagesAntonio Carlos Senra Filho, Fabrício Henrique Simozo · 2019 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
- 3D MICRO-CT IMAGE SEGMENTATION OF ROCK SAMPLES, TRAINED USING 2D MINERAL MAPSI. A. Varfolomeev, Ivan Yakimchuk · 2019 · Vestnik komp iuternykh i informatsionnykh tekhnologii
- Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved SegmentationRoberto Medeiros de Souza, Oeslle Lucena, Mariana Bento, Julia Lopes Garrafa, Letícia Rittner, Simone Appenzeller, Roberto Lotufo, Richard Frayne · 2019 · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
- Skull stripping and tumor detection using 3D U-NetRahul Gupta, Isha Sharma, Vijay Kumar · 2021 · Elsevier eBooks
- Proceedings of the 18th Python in Science Conference2019 · Proceedings of the Python in Science Conferences
- MRI Segmentation of Human Brain for Diagnosis of ADHDR. Priyanka, Ramakrishna Komarina, P. Aruna Priya, Usha Rupni K · 2023 · International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
- A Study on Lung Cancer Detection in CT Images Using Medical Image processing with Deep Learning TechniquesD E Martina Jaincy, Prasanthi · 2023 · Advances in computer science research
- Utilization of Deep Learning to Overcome the Effect of ADHD on ChildrenEman Salah, Mona Shokair, Fathi E. Abd El‐Samie, Wafaa A. Shalaby · 2023 · International Conference on Electronic Engineering (ICEEM)
- Utilization of fMRI with optical amplification to diagnose attention deficit hyperactivity disorderEman Salah, Mona Shokair, Fathi E. Abd El‐Samie, Wafaa A. Shalaby · 2024 · Journal of Optics
- Detection of Brain Tumour in MRI Images using Deep Belief Network (DBN)Roshan Jahan, Manish Madhava Tripathi · 2024 · Journal of Advanced Research in Applied Sciences and Engineering Technology
- Implementing Deep Learning and Machine Learning Technologies In Brain Disease DiagnosisPrachiti Pimple, Manoj Ashok Wakchaure · 2024 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
- Diving Deep: The Role of Deep Learning in Medical Image Analysis, Today and TomorrowYigang He · 2024 · International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
- HeteroMRI: Robust white matter abnormality classification across multi-scanner MRI dataMasoud Abedi, Navid Shekarchizadeh, Pierre‐Louis Bazin, Nico Scherf, Julia Lier, Caroline Bergner, Alzheimer’s Disease Neuroimaging Initiative, Wolfgang Köhler, Toralf Kirsten · 2025 · GigaScience
- Image Preprocessing for Pathological Brain DetectionShuihua Wang, Yudong Zhang, Zhengchao Dong, Preetha Phillips · 2018 · Brain informatics and health
- Deep Learning for Magnetic Resonance Images of GliomasJohn J. Healy, Kathleen M. Curran, Amira Šerifović Trbalić · 2020 · Studies in computational intelligence
- Applications of Computational Intelligence Techniques in Chemical and Biochemical AnalysisMiles Gibson, Benita Claire Percival, Martin C. Grootveld, Katy Woodason, Justine Leenders, Kingsley Nwosu, Shina Caroline Lynn Kamerlin, Philippe Wilson · 2020 · Royal Society of Chemistry eBooks
- BRAIN MRI ANALYSIS AND SEGMENTATION USING 2D-UNET ARCHITECTUREAngelin Beulah.S, Kartikay Kaul, Daksh Chauhan, Hepsiba Mabel. · 2021 · European Journal of Molecular & Clinical Medicine
- Brain tissues segmentation in magnetic resonance imaging for the diagnosis of brain disorders using a convolutional neural networkD. Selvathi · 2021 · Elsevier eBooks
- STUDY OF WORLD OPINION REGARDING THE DEVELOPMENT OF SCIENCEInternational Science Group, Denis Vladlenov · 2022
- Learning Super-resolution 3D Segmentation of Plant Root MRI Images from Few ExamplesAli Oguz Uzman, Jannis Horn, Sven Behnke · 2019 · arXiv (Cornell University)
- A novel deep learning scheme for morphology-based classification of mycobacterial infection in unstained macrophagesXinzhuo Zhao, Yanqing Bao, Lin Wang, Wei Ping Qian, Jianjun Sun · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
- Transfer Learning for Medical Image SegmentationA. vanOpbroek · 2018 · RePub (Erasmus University Rotterdam)
- RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNsZhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley · 2020 · arXiv (Cornell University)
- Automated skull stripping in mouse fMRI analysis using 3D U-NetGuohui Ruan, Jiaming Liu, Ziqi An, Kaiibin Wu, Chuanjun Tong, Qiang Liu, Ping Liang, Zhifeng Liang, Wufan Chen, Xinyuan Zhang et al. · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
- Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracyMuthusivarajan Rajarajeswari, Adrian Celaya, Joshua P. Yung, Satish E. Viswanath, Daniel S. Marcus, Caroline D. Chung, David Fuentes · 2021 · arXiv (Cornell University)
- A Generative Skull Stripping of Multiparametric Brain MRIs Using 3D Convolutional Neural NetworkLinmin Pei, Murat Ak, Nourel Hoda Tahon, Şerafettin Zenkin, Safa Karawi, Abdallah Kamal, Mahir Yilmaz, Lingling Chen, Mehmet Er, Rivka R. Colen · 2022 · Research Square
- Neural Network Optimizers for Brain Tumor Image DetectionT. Kalaiselvi, S. Padmapriya · 2022
- Removing scanner biases using Generative Adversarial Networks.Harrison H. Nguyen, Richard W. Morris, Anthony W.F. Harris, Mayuresh S. Korgoankar, Fabio Tozeto Ramos · 2018 · arXiv (Cornell University)
- Intelligent magnetic resonance imaging : application in fetal MRIMohseni Salehi Monfared · 2017
- Detecção de núcleos em células cervicais utilizando Deep LearningEliezer Farrant Braz · 2018
- Learning to compute inner consensus - A noble approach to modeling agreement between Capsules.Gonçalo S. Faria · 2019 · arXiv (Cornell University)
- Fast Glioblastoma Detection in Fluid-attenuated inversion recovery (FLAIR) images by Topological Explainable Automatic Machine LearningMatteo Rucco · 2019 · arXiv (Cornell University)
- Surface loss for medical image segmentationJihene Bouchtiba · 2019 · Espace ÉTS (ETS)
- Semantically Correct High-resolution CT Image Interpolation and its ApplicationJiawei Li · 2020 · uO Research (University of Ottawa)
- Extraction of cutting plans in craniosynostosis using convolutional neural networksJiabin He, Yangyu Luo, Jian Feng Gong · 2020 · International Congress on Image and Signal Processing (CISP)
- Fast Learning from Imperfect Labels to Segment Brain Based on Active Contour Model and 3D U-NetHonglei Ji, Yi Lv, Junchen Wang · 2021 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
- Machine Learning For Detection and Classification of Alzheimer’s: An Analysis of Current Trends and Future PossibilitiesDurga Dahal, Monika Verma, Sangay Dendup, Kinley Drukpa, Lam Chencho Phub Tshering · 2021 · Journal of Emerging Technologies and Innovative Research
- Computational Methods for Health InformaticsJayakishan K. Meher · 2021 · Health information science
- Convolutional Neural Network Approach in Covid-19 Screening in Asymptomatic IndividualsMohammed-Amine Zyad, Belaid Bouikhalene, Abdelmajid Zyad · 2021 · International Conference on Optimization and Applications (ICOA)
- A novel implementation for brain MRI noise reductionG. Naga Rama Devi, Velliangiri Sarveshwaran, S. Alagumuthukrishnan · 2021 · AIP conference proceedings
- Brain volume refinement (BVeR): automatic correction tool as an alternative to manual intervention on brain segmentationAntonio Carlos da Silva Senra Filho, Fabrício Henrique Simozo, Luiz Otávio Murta · 2021 · Research on Biomedical Engineering
- Fine Mapping Functional Noncoding Genetic Elements Via Machine LearningPramod Bharadwaj Chandrashekar · 2020
- Keypoint masking for analyzing segmented medical image dataÉtienne Pepin · 2020 · Espace ÉTS (ETS)
- The Classification Between Prostate Transitional Zone Cancer and Hyperplasia Using Deep Transfer Learning from Disease-Related Images: A Retrospective StudyBo Hu, Lin‐Feng Yan, Yang Yang, Ying‐Zhi Sun, Yue Julia Cui, Dong Feng Wu, Wen Wang, Di Zhao, Guang-Bin Cui · 2020
- Research Progression of Colposcopy Image-assisted Diagnosis Based on Deep LearningYehong HUANG · 2022 · Medical Research
- Accurate brain extraction on MRI using U-Net trained in two stagesXue Li, Wenyao Zhang, Zijian Kang, Na Wang · 2022 · International Conference on Bioinformatics and Biomedical Technology (ICBBT)
- Autism spectrum disorder analysis by using a 3D-ResNet-based approachHeqian Zhang, Zhaohui Wang · 2022 · International Conference on Digital Image Processing
- Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI SegmentationJustin Lo, Saiee Nithiyanathan, Jillian Cardinell, Dylan Young, Sherwin Cho, Abirami Kirubarajan, Matthias W Wagner, Roxana Azma, Steven Miller, Mike Seed et al. · 2022
- Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI SegmentationJustin Lo, Saiee Nithiyanathan, Jillian Cardinell, Dylan Young, Sherwin Cho, Abirami Kirubarajan, Matthias W Wagner, Roxana Azma, Steven Miller, Mike Seed et al. · 2022
- Towards Long-Range Pixels Connection for Context-Aware Semantic SegmentationMuhammad Zubair Khan, Yugyung Lee, Muazzam Ali Khan, Arslan Munir · 2022 · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)
- A blueprint of the developing mindElise Turk · 2022 · Utrecht University Repository (Utrecht University)
- DEEP LEARNING-BASED NEURAL NETWORK FOR REGIONS OF INTEREST RETRIEVAL IN T2*-WEIGHTED BRAIN PERFUSION MRIСвітлана Алхімова, Олексій Дюмін · 2023 · Наука і техніка сьогодні
- Applications of Artificial Intelligence in Medical Images AnalysisPushpanjali Gupta, Prasan Kumar Sahoo · 2022 · EAI/Springer Innovations in Communication and Computing
- HUMAN INTELLIGENCE BASED DEEP LEARNING TECHNIQUE FOR IMAGE SEGMENATION OF BRAIN MRISAHIK FAREEDA, K Prasad Babu · 2023 · International Journal of Engineering Technology and Management Sciences
- Methods of Brain Extraction from Magnetic Resonance Images of Human Head: A ReviewS. Praveenkumar, Thiruvenkadam Kalaiselvi, K. Somasundaram · 2023 · Critical Reviews in Biomedical Engineering
- Review Study on Artificial Intelligence Tools for Attention Deficit Hyperactivity Disorder Identification2023 · International Journal of Telecommunications
- Alzheimer’s Disease Detection: A Deep Learning-Based ApproachMuhammad Wasim, Affan Alim, Waqas Ahmed · 2023 · Journal of Independent Studies and Research - Computing
- Accuracy of skull stripping in a single-contrast convolutional neural network model using eight-contrast magnetic resonance imagesMasami Goto, Yujiro Otsuka, Akifumi Hagiwara, Shohei Fujita, Masaaki Hori, Koji Kamagata, Shigeki Aoki, Osamu Abe, Hajime Sakamoto, Yasuaki Sakano et al. · 2023 · Radiological Physics and Technology
- G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull StrippingYifan Li, Chao Li, Yiran Wei, Stephen John Price, Carola‐Bibiane Schönlieb, Xi Chen · 2023 · Lecture notes in computer science
- More Accurate Automatic Detection of Schizophrenia Using Semantic Segmentation with CNNAli Allahgholi, Keivan Maghooli · 2023 · SSRN Electronic Journal
- Brain Extraction of Neurological FLAIR MRI for Multicenter, Multi-Disease DatasetsJustin DiGregorio · 2023
- Fetal Organ Anomaly Identification, Segmentation, and Optimized Data AugmentationJustin Lo · 2024
- Brain Ischemic Stroke Segmentation Using Ensemble Deep LearningRathin Halder, Nusrat Sharmin · 2024 · Lecture notes in networks and systems
- Thalamic volumetry via deep learning as an imaging biomarker in multiple sclerosisMichael G. Dwyer, Niels Bergsland, Robert Zivadinov · 2024 · Elsevier eBooks
- Parallel Convolutional Neural Network for Brain Tumor Using MR ImagesV Lithika, M. K. Kavitha Devi · 2024 · International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)
- Exploration of ear biometrics with deep learning.Aimee Booysens · 2024
- Fast BET Based on Pre-Processing Evolution Using Global Mean Inter-Vertex Distance of Deformable Surface for MRI Brain ExtractionChang-Il Son, Jun Ma, IlRyong Bong, Nam Chol Yu · 2024 · International Journal of Image and Graphics
- Automatic Skull Stripping Using Multidimensional Multi-input Multi-output U-Net Model for Alzheimer’s DiseasePriyanka Gautam, Manjeet Singh · 2024 · Applied Magnetic Resonance
- End-to-End Triple-Domain Pet Enhancement: A Hybrid Denoising-and-Reconstruction Framework for Reconstructing Standard-Dose Pet Images from Low-Dose Pet SinogramsCaiwen Jiang, Mianxin Liu, Kaicong Sun, Dinggang G. Shen · 2025 · SSRN Electronic Journal
- Multiresolution Encoder-Decoder Convolutional Neural Network for Magnetic Resonance Image SegmentationKishore Kumar Tarafdar, Aaditya Meher, Mirat Shah, Qutubuddin Saifee, Dushyant Kumar, Anant V. Nimkar, Rama Jayasundar, Vikram M. Gadre · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
- Enhancing PET with Image Generation Techniques: Generating Standard-Dose PET from Low-Dose PETCaiwen Jiang, Zixin Tang, Zhiming Cui, Dinggang G. Shen · 2024 · Springer eBooks
- Zero-Shot Skull Stripping for Alzheimer’s Disease Classification With the Segment Anything ModelJean Christopher Pinheiro, Vitória Chrissie de O. Pinheiro, Rodrigo Silva, Gladston Juliano Prates Moreira, Pedro Silva, Eduardo Jose da Silva Luz · 2024
- Brain Tissue Segmentation from MRI Scans using Digital Image ProcessingSushmita Chauhan, Poonam Saini, Sanjeev Sofat · 2025 · Procedia Computer Science
- Improves Brain Skull Stripping Using Attention Residual Recurrent 3D U-NetArwa Sabah Ridha, Ashwaq Talib Hashim · 2025 · Lecture notes in networks and systems
- Improving skull-stripping for infant MRI via weakly supervised domain adaptation using adversarial learningAbbas Omidi, Amirmohammad Shamaei, Mumu Aktar, Regan King, Lara M. Leijser, Roberto Medeiros de Souza · 2025 · Computers in Biology and Medicine
- The impracticality of radiomics research in acute ischemic stroke: from the perspective of primary healthcare institutionsShaojun Zhang, Jiehao Tu · 2025 · Frontiers in Neurology
- A Review on Deep Learning Models and Fractal Residual Learning in Detection of Different TumorsShyo Prakash Jakhar, Amita Nandal, Arvind Dhaka · 2026 · Communications in computer and information science
- An Efficient Preprocessing Method for Skull Region Removal from MRI DataPrasanna Ujjani Mutt, B. S. Harish, Chaluvegowda Kanakalakshmi Roopa · 2026 · Lecture notes in networks and systems
- GlioMap: MATLAB-based GUI for MRI Brain Tumor Segmentation and Feature ExtractionIsira Senanayaka, Thiyakaswaran Sangavi, Mohan L. Jayatilake, Padma Badra Hewavithana, Sunil Kulathunga · 2026 · SoftwareX
- TRANSFORMER BASED ENSEMBLE FOR ISCHEMIC STROKE SEGMENTATION ON 3D CT SCANSLyailya Cherikbayeva, Vladimir Berikov, Зарина Меліс, A. I. Yeleussinov, Салтанат Адилжанова, Aisulyu Ataniyazova, Elmira Daiyrbayeva · 2026 · Herald of Kazakh-British technical university
- Automatic segmentation of the cortical surface in neonatal brain MRICarlos Tor-Díez · 2019 · theses.fr (ABES)
- Segmentation by deep learning with geometric constraints and active contoursNicolas Makaroff · 2024 · theses.fr (ABES)
- A Unified Brain Extraction Framework Powered by Structure-Intensity Disentanglement-Based Data AugmentationXiaoye Li, Shijie Huang, Yulin Wang, Zifeng Lian, Jiameng Liu, Kaicong Sun, Dinggang G. Shen · 2026 · IEEE International Symposium on Biomedical Imaging (ISBI)
- A reproducible data-driven parameter optimization framework for classical skull stripping methods across heterogeneous brain MRI datasetsNila Prasetya Aryani, Freddy Haryanto, S R H Khotimah, Mohammad Haekal, Vepy Asyana, Idam Arif · 2026 · Biomedical Physics & Engineering Express
- Artificial Intelligence and Medical Imaging: A Review of the Application of Vascular Cognitive ImpairmentXuezhi Chen, Peijie Fu, Xianting Luo, Chuzhen Kang, Guilan Huang, Yirui Wu, Manqing Zhang, Xiaoping Yin, Zhiying Chen · 2026 · Archives of Computational Methods in Engineering
- 3D segmentation framework for whole-brain segmentation from thick-slice brain MRIShaofeng Jiang, Liangli Xiong, Zhen Chen, Congxuan Zhang, Yuehua Chen · 2026 · Journal of Neuroscience Methods
- CM-BET ile beyin sınır segmentasyonunun geliştirilmesi: Beyin çıkarımında yüksek doğruluk için kaskat bir modelKali Gürkahraman, Rukiye Karakış, Ahmet Fırat Yelkuvan · 2026 · Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi