A large, open source dataset of stroke anatomical brain images and manual lesion segmentations

Liew, Sook-Lei, Anglin, Julia M., Banks, Nick W., Sondag, Matt, Ito, Kaori L., Kim, Hosung, Chan, Jennifer, Ito, Joyce +27 more·2018·Scientific Data
DOI 10.1038/sdata.2018.11

Cited by (283)

Items 201–283 of 283

  1. A comparison study of automated approaches for brain lesions segmentation in ischemic stroke
    Maryam Yousefian, Ali Amani, Hadi Seyedarabi, Mehdi Farhoudi · 2020 · Iranian Conference on Electrical Engineering
  2. Hierarchically Spatial Encoding Module for Chronic Stroke Lesion Segmentation
    Cheng Chen, Kai Yuan, Yuqi Fang, Shichun Bao, Raymond Kai‐Yu Tong · 2021 · International IEEE/EMBS Conference on Neural Engineering
  3. A large public dataset of annotated clinical MRIs of patients with acute stroke and linked metadata
    Chin-Fu Liu, Richard J. Leigh, Brenda Joyce Johnson, Victor Urrutia, Johnny Hsu, Xin Xu, Xin Li, Susumu Mori, Argye Elizabeth Hillis, Andreia Vasconcellos Faria · 2022 · Research Square
  4. PCMA-UNet: a hybrid attention mechanism based on UNet3+ for stroke segmentation networks
    Xiaoyu Huang, Yang Li, Yuting Zhou, Xihan Zhang, Bobo Yan, Yan Zhou, Wendong Wang · 2024 · Research Square
  5. Functional Connectivity of Hippocampal Circuits and Visual Memory Function in Children and Adolescents With Perinatal Stroke
    Armaan Dhanoa, Nomazulu Dlamini, John C. Andersen, Darcy L. Fehlings, Adam Kirton, Helen L. Carlson · 2025 · Human Brain Mapping
  6. Brain asymmetry-guided network model for infarct lesion segmentation in acute ischemic stroke
    Lingli Li, Hongxiao Li, Jing Fang, Jianzhuo Yan, Yongchuan Yu · 2025 · Expert Systems with Applications
  7. FCSG-Net: Frequency-domain Cross-scale Gated Network for stroke segmentation
    Yaoyao Feng, Peng Xie, Shanxiong Chen, Yongjun Zhu, Xiaolong Wang, Zonglin Wu, Gaoshan Song · 2025 · Biomedical Signal Processing and Control
  8. EFENet: Edge and feature enhancement network for stroke lesion segmentation
    Rui Zhai, Daqi Li, Yan Li, Mingyang Liang, Yalin Song, Zhen Wang · 2025 · Digital Signal Processing
  9. Mapping the Spatial Distribution of Lesions in Stroke: Effect of Diffeomorphic Registration Strategy in the ATLAS Dataset
    Brian Avants, Nicholas James Tustison · 2022 · Neuromethods
  10. A Pipeline for Segmenting and Classifying Brain Lesions Caused by Stroke: A Machine Learning Approach
    Roberto Mena, Alex Macas, Enrique Peláez, Francis R. Loayza, Heydy Franco-Maldonado · 2022 · Lecture notes in networks and systems
  11. A Review: Binary Classification and Hybrid Segmentation of Brain Stroke using Transfer Learning-Based Approach
    Nallamotu Parimala, G. Muneeswari · 2023 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
  12. Contributions of Machine Learning in the Management of Stroke: A Bibliometric Analysis of the 50 Most Cited Articles
    Bhavya Pahwa, Anish Tayal, Kanwaljeet Garg · 2024 · World Neurosurgery
  13. Material-SAM: Adapting SAM for Material XCT
    Xuelong Wu, Junsheng Wang, Zhongyao Li, Yisheng Miao, Chengpeng Xue, Yuling Lang, Decai Kong, Xiaoying Ma, Haibao Qiao · 2024 · Computers, materials & continua/Computers, materials & continua (Print)
  14. Evaluating the Relationship Between Motor and Cognitive Impairment and Lesion Size and Location Post-Stroke Using CT Scans*
    Reem M. Azar, Natalia Stroutinsky Sobotka, Pamela Z. Cacchione, Rochelle J. Mendonca, Michelle Jillian Johnson · 2025 · International Conference on Rehabilitation Robotics
  15. MDSU-Net: A Multi-attention and Depthwise Separable Convolution Network for Stroke Lesion Segmentation
    Yuxiang Zhou, Xin Kang, Fuji Ren · 2022 · International Conference on Biomedical and Bioinformatics Engineering (ICBBE)
  16. Gehirn-Computer Schnittstellen zur Verbesserung von Lebensqualität und sozialer Teilhabe
    Surjo Raphael Soekadar · 2022 · Schriften der Mathematisch-naturwissenschaftlichen Klasse
  17. DRRN: Differential rectification & refinement network for ischemic infarct segmentation
    Wenxue Zhou, Wenming Yang, Qingmin Liao · 2024 · CAAI Transactions on Intelligence Technology
  18. Unsupervised Brain Anomaly Detection in MR Images
    Samuel Botter Martins, Alexandru Cristian Telea, Alexandre X. Falcão · 2021 · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
  19. Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning
    Kehan Qi, Yu Gong, Xinfeng Liu, Xin Liu, Hairong Zheng, Shanshan Wang · 2020 · arXiv (Cornell University)
  20. Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets
    Chuanlong Li · 2021 · arXiv (Cornell University)
  21. A precise language network revealed by the independent component-based lesion mapping in post-stroke aphasia
    Weijing Ren, Chunying Jia, Ying Chun Zhou, Jingdu Zhao, Bo Wang, Weiyong Yu, Shiyi Li, Yiru Hu, Hao Zhang · 2022 · Frontiers in Neurology
  22. Stroke-CVAE-CGAN: A Medical Imaging Data Augmentation Network Incorporating Stroke Lesion Distribution
    Haisheng Hui, Xueying Zhang, Fenglian Li, Zelin Wu · 2024 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
  23. A multi-stage progressive feature fusion network for Brain Stroke lesion segmentation
    Hong Shangguan, Hongrui Zhao, Xiong Zhang, Jie Yang, Yue Sun, Zhanlong Li, Yina Guo · 2025 · Biomedical Signal Processing and Control
  24. FastSurfer parcellation accuracy after lesion filling in moderate-to-severe traumatic brain injury
    Evelyn Deutscher, Emily L. Dennis, Frank G. Hillary, Elisabeth A. Wilde, Carrie Esopenko, Ekaterina Dobryakova, Andrei Irimia, Ahmed M. Radwan, Phoebe Imms, Adam Clemente et al. · 2025 · Frontiers in Neurology
  25. LBMNet: a hybrid multi-scale CNN–Mamba framework for enhanced 3D stroke lesion segmentation in MRI
    Zhejun Kuang, Xingxue Yan, Jiaxuan Yu, Dawen Sun, Jian Ming Zhao, Lei Sun · 2026 · Frontiers in Medicine
  26. Imaging and genomics in stroke
    Rajat Dhar · 2026 · Journal of Cerebral Blood Flow & Metabolism
  27. Cross-source medical anomaly detection via prompt-guided diffusion representations
    Yunkang Cao, Haiming Yao, Yu Cai, Yuxin Zhang, Hao Chen, Hui Zhang, Weiming Shen · 2026 · Pattern Recognition
  28. DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation
    Qikui Zhu, Lei Yin, Qian Tang, Yanqing Wang, Yanxiang Cheng, Shuo Li · 2023 · Lecture notes in computer science
  29. Snapshot Ensemble on Brain MRI Segmentation
    Bishnu Paudel, Reyer Zwiggelaar A, Otar Akanyeti · 2024 · Advances in intelligent systems and computing
  30. Revolutionizing Stroke Rehabilitation: Integrating Technology and Automation for Enhanced Patient Outcomes
    Rahma M. Abdulaziz, Mohanned Loqman · 2024 · Lecture notes in networks and systems
  31. Hierarchical Convolution-Based Multilayer Perception for Denoising 3D MRI to Enhance Diagnostic Confidence in Cerebral Small Vessel Disease
    Haibo Yang, Shengjie Zhang, Xiaoyang Han, Botao Zhao, Yan Ren, Xiao-Yong Zhang · 2025 · Phenomics
  32. Combining Registration Errors and Supervoxel Classification for Unsupervised Brain Anomaly Detection
    Samuel Botter Martins, Alexandre X. Falcão, Alexandru Cristian Telea · 2021 · Communications in computer and information science
  33. 3D Reconstruction of Damage Caused by a Stroke using Magnetic Resonance Imaging Processing
    Nubia Palacios-Quecan, Camilo Andrés Pérez Ospino, Sandra Liliana Cancino Suárez · 2021 · IEEE URUCON
  34. Altern: Biologie und Chancen
    Anthony Dick Ho, Thomas W. Holstein, Heinz Häfner · 2022 · Schriften der Mathematisch-naturwissenschaftlichen Klasse
  35. Automated Lesion Segmentation
    Joseph C. Griffis, Dorian Pustina · 2022 · Neuromethods
  36. Lesion to symptom mapping
    Dorian Pustina · 2023 · Elsevier eBooks
  37. Author response: Damage to the right insula disrupts the perception of affective touch
    Louise P. Kirsch, Sahba Nomvula Besharati, Christina Papadaki, Laura Crucianelli, Sara Bertagnoli, Nick Ward, Valentina Moro, Paul Mark Jenkinson, Aikaterini Fotopoulou · 2019 · eLife
  38. Creation of a Dataset of MSCT-Images and Clinical Data for Acute Cerebrovascular Events
    F. A.-K. Sharifullin, Daria D. Dolotova, T. G. Barmina, Sergey S. Petrikov, Коков Леонид Сергеевич, Ganipa Ramazanovich Ramazanov, Е.Р. Благосклонова, И.В. Архипов, Ivan M. Skorobogach, N. N. Cheremushkin et al. · 2020 · Russian Sklifosovsky Journal Emergency Medical Care
  39. Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
    Liang Yuan, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He · 2021 · arXiv (Cornell University)
  40. Corpus Callosal Microstructure Predicts Bimanual Motor Performance In Chronic Stroke Survivors
    Rini Varghese, Brianna Chang, Bokkyu Kim, Sook‐Lei Liew, Niciolas Schweighofer, Carolee Winstein · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  41. 3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI
    Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer · 2021 · arXiv (Cornell University)
  42. Three dimensional simulations of embolic stroke: clinical comparisons and an equation for sizing emboli from imaging
    J. P. Hague, Jonathan Keelan, Lucy Beishon, David Swienton, Thompson Gordon Robinson, Emma M.L. Chung · 2021 · arXiv (Cornell University)
  43. A Survey of Stroke Image Analysis Techniques
    Henok Yared Agizew, Asrat Mulatu Beyene · 2022 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  44. Global brain health modulates the impact of lesion damage on post-stroke sensorimotor outcomes
    Sook‐Lei Liew, Nicolas Schweighofer, James Howard Cole, Artemis Zavaliangos‐Petropulu, Bethany P. Tavenner, Laura K. M. Han, Tim Hahn, Lianne Schmaal, Miranda Rennie Donnelly, Jessica N. Jeong et al. · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  45. Automated segmentation of micro-CT images by deep learning and its application to comparative morphology
    Ευρώπη Τουλκερίδου · 2021
  46. Childhood images
    Elizabeth E.L. Buimer · 2023
  47. Post-Stroke Lesion Segmentation using 2D and 3D Dense U-net
    Rena Mansour, Zeinab Khreiss, Fatima Sbeity, Mohamad Abou Ali, Abdallah Kassem, Lara Hamawy · 2023 · International Conference on Advances in Biomedical Engineering (ICABME)
  48. СУЧАСНІ ПІДХОДИ ДО АНАЛІЗУ МЕДИЧНИХ ЗОБРАЖЕНЬ
    Максим Гончарук, Євген Арнольдович Настенко, Світлана Алхімова · 2023 · Біомедична інженерія і технологія
  49. A Feature-based Inversion Method for Brain Stroke Microwave Imaging
    Rui Guo, Zhichao Lin, Jingyu Xin, Maokun Li, Fan Yang, Shenheng Xu, Aria Abubakar · 2023 · URSI General Assembly and Scientific Symposium
  50. Improved Attention U-Net Combined with Conditional Random Field for Ischemic Lesion Segmentation from Magnetic Resonance Images
    Ali Rezaei, Asieh Khosravanian, Habibollah Danyali, Kamran Kazemi, Ardalan Aarabi · 2023
  51. Retraction: Brain stroke detection using image processing
    Riyadh Al-Alwani, Kasim Karam Abdalla, Farah Nabil Abbas · 2023 · AIP conference proceedings · Retracted
  52. MD-TransUNet: TransUNet with Multi-attention and Dilated Convolution for Brain Stroke Lesion Segmentation
    Jie Xu, Jian Wan, Xin Zhang · 2024 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  53. Brain Lesion Image Segmentation Using Modified U-NET Architecture
    Xin Yin Lee, Mohd Jamil Mohamed Mokhtarudin, Ramli Junid · 2024 · Lecture notes in networks and systems
  54. Brain MRI Contrast Enhancement Based on the Schrödinger Spectrum
    Juan Manuel Vargas, Taous‐Meriem Laleg‐Kirati · 2024 · IEEE International Symposium on Biomedical Imaging (ISBI)
  55. Models to Identify Small Brain White Matter Hyperintensities Lesions
    Darwin Castillo, María José Rodríguez-Álvarez, René Samaniego, Vasudevan Lakshminarayanan · 2024 · SSRN Electronic Journal
  56. Benchmark image and clinical datasets for analysis in the medical system
    Sathiya Narayanan, L. Jani Anbarasi, J. Jenifa Sharon, R. Neeraja, J. Jasmine Gabriel · 2025 · Elsevier eBooks
  57. Research Challenges and Future Perspective for Brain Stroke Lesions Segmentation
    Anita Saini, Puneet Kumar Jain · 2025 · Communications in computer and information science
  58. Boundary-focused multi-scale network for stroke lesion segmentation
    Chenhong Liu, Fenglian Li, Weili Wang, Suzhe Wang, Guijun Chen · 2025 · Computers & Electrical Engineering
  59. Segmentation of MRI for Chronic Stroke Lesion using Novel Based UNet Architecture
    Devanand, Sushil Kumar, Vanita Garg · 2025 · International Conference on Recent Advances in Information Technology
  60. Introduction to Exposome in Gametogenesis Teratogenesis and Cancer
    Christopher Oloruntoba Akintayo, Samuel Obiosa Onyekweli, Gloria Osayamen Omoruyi, Tobi Opeyemi Olaleye, Oluwakemi Mary Olowomeye, Victor Ayotunde Osundele, Paul A. Oyewole · 2025 · IGI Global eBooks
  61. Unsupervised Brain Lesion Segmentation Using Posterior Distributions Learned by Subspace-Based Generative Model
    Huixiang Zhuang, Yue Guan, Yijie Ding, Chang Xu, Zijun Cheng, Yuhao Ma, Ruihao Liu, Ziyu Meng, Cao Li, Yao Li et al. · 2025 · IEEE Transactions on Medical Imaging
  62. Conditional Diffusion Models for Guided Anomaly Detection in Brain MRI Using Fluid-Driven Anomaly Randomization
    Ana Lawry Aguila, Peirong Liu, Oula Puonti, Juan Eugenio Iglesias · 2025 · Lecture notes in computer science
  63. Brain Stroke Classification Based on Deep Learning: Enhanced Neural Architectures for Quick and Precise Diagnosis
    D Shreya, B. Pakruddin, K Priyanka, K Kavana, Y U Hemashree · 2025 · International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)
  64. Mobile health in the management of chronic care: A new era with the advent of generative Artificial Intelligence
    Mohammad Hosseiniravandi, Mostafa Sheykhotayefeh, Taleb Khodaveisi · 2025 · مجله دانشگاه علوم پزشکی تربت حیدریه
  65. MobileFormer: Efficient Stroke Lesion Detection with Lightweight CNN-Transformer Fusion
    Sadiya Sulaiman, M. Roshni Thanka, E. Bijolin Edwin, Nader Salam · 2026 · Lecture notes in networks and systems
  66. CMuA-Net: Context-Aware Multi-Attention U-Net with ConvLSTM Blocks
    Hafsa Batool, Basma Nasir, Hafiz Muhammad Talha Ijaz, Muhammad Nawaz, Zawar Hussain · 2025 · International Conference on Frontiers of Information Technology (FIT)
  67. Stage-aware segmentation of ischemic stroke lesions: evaluating the impact of treatment phase on model performance
    Weiying Huang, Xin Chen, Zheng Wen, Honglin Chen, Wenshan Xu, Li Xia, Fleming Y. M. Lure, Kangwen Ming, Lin Guo, Wen Liu · 2026 · SPIE Medical Imaging: Image Processing
  68. Multimodal Stroke Lesion Segmentation with Hybrid Attention and Transformer Architecture
    Sadiya Sulaiman, M. Roshni Thanka, T. Jemima Jebaseeli, Nader Salam, Bijolin Edwin · 2026 · Journal of Innovative Image Processing
  69. JONet: a new deep network for acute ischemic stroke localization in MRI
    J Jackulin Reeja, C. H. Arun · 2026 · Neural Computing and Applications
  70. Implementing advanced neo-associationist analyses of the brain
    Chris Foulon · 2018 · theses.fr (ABES)
  71. Vision transformers for neurological disorder diagnosis: a systematic review of architectural taxonomies, challenges, and future directions
    Rasoul Ameri, Danyal Shahmirzadi, Atefeh Yarahmadi, Mohammad H. Nadimi-Shahraki · 2026 · Expert Systems with Applications
  72. NeuroStrokeVision: A Hybrid CNN-RNN and Transformer-based Model for Real-Time Stroke Identification using Neuroimaging Data
    Reddygari Dharani, Sirigiri Abigna, Sigarambotla Parimala, Pusalapati Vyshnavi, B.Roja Ramani · 2025 · International Conference on Sustainable Computing and Smart Systems (ICSCSS)
  73. Dysfunctional Brain Circuits Overlap in Lesional and Idiopathic Obsessive-Compulsive Disorder
    Gonçalo Cotovio, Nelson Descalço, Jaime Caballero‐Insaurriaga, Daniel Martins, Francisco Faro Viana, Catarina G Fonseca, João Ramos, Beatriz Santos, Ana Maia, José Oliveira et al. · 2026 · Biological Psychiatry
  74. Healthy Counterfactual Generation with Denoising Diffusion Bridge Models
    Ana Lawry Aguila, Medardo Aguirre, Peirong Liu, Juan Eugenio Iglesias · 2026 · IEEE International Symposium on Biomedical Imaging (ISBI)
  75. Optimizing the dynamics of the frequency bias in Fourier features neural networks
    Juan Molina, Mircea Petrache, Francisco Sahli Costabal, Matías Courdurier · 2026 · Neurocomputing
  76. Topography and functional connectivity analysis of heart surgery-associated brain lesions: a literature review
    Federica Marcolongo, Cecilia Guariglia, Gianmarco Tessari, A. Tropea, M. Volterrani, Pedro Nascimento Alves · 2026 · Neurological Sciences
  77. Generative AI in Neuroimaging: Advancing Brain MRI Analysis and Interpretation
    Ahmed Kammoun, Moulay A. Akhloufi · 2026 · Information
  78. Structured ischemic stroke segmentation via auxiliary DWI hyperintensity guidance
    Santiago Gómez, Daniel Mantilla, Ana Teresa Araujo-Reyes, Julian García, Fabio Martínez · 2026 · Biomedical Signal Processing and Control
  79. A unified frequency-domain framework for tilted slice localization and ischemic stroke detection
    Javad Khodadoust, Sofya P. Kulikova, Fatemeh Khodadoust · 2026 · Biomedical Signal Processing and Control
  80. Sensorimotor network functional connectivity, proprioception, and visuomotor function in youth with hemiparetic cerebral palsy
    Dakota Hofforth, Meghan Maiani, Isabelle Poitras, Adrianna Giuffre, Andrea M. Kuczynski, Lauran Cole, Martin Bardhi, Sean Peter Dukelow, Adam Kirton, Helen L. Carlson · 2026 · Aperture Neuro
  81. Neural and computational mechanisms of embodied learning: From brain–body interaction to translational applications
    Qian Yu, Zhihao Zhang, Peng Wang, Markus Raab, Fabian Herold, Matthew D. Heath, Myrto Foteini Mavilidi, FRED G. W. C. PAAS, Liye Zou · 2026 · Journal of sport and health science/Journal of Sport and Health Science
  82. Estimated Age-Guided Cerebral Microbleed Segmentation
    Junmo Kwon, Jonghun Kim, Tae-Hyeon Kim, Hyunjin Park · 2026 · Lecture notes in computer science
  83. Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
    Tancik, Matthew, Srinivasan, Pratul P., Mildenhall, Ben, Fridovich-Keil, Sara, Raghavan, Nithin, Singhal, Utkarsh, Ramamoorthi, Ravi, Barron, Jonathan T., Ng, Ren · 2020 · arXiv