PubMed Mentions
The links below are to publications on PubMed referring to NiBabel. This list is gathered weekly from PubMed automatically and was last updated on December 17, 2025.
| Publication/References | |
| Accurate brain-age models for routine clinical MRI examinations. Description: Wood, David A, et al. Accurate brain-age models for routine clinical MRI examinations. ''Neuroimage''. 2022 Apr 1; '''249''': 118871 | |
| Pseudodynamic analysis of heart tube formation in the mouse reveals strong regional variability and early left-right asymmetry. Description: Esteban, Isaac, et al. Pseudodynamic analysis of heart tube formation in the mouse reveals strong regional variability and early left-right asymmetry. ''Nat Cardiovasc Res''. 2022 May; '''1''' (5):504-517 | |
| Automated hippocampal unfolding for morphometry and subfield segmentation with HippUnfold. Description: DeKraker, Jordan, et al. Automated hippocampal unfolding for morphometry and subfield segmentation with HippUnfold. ''Elife''. 2022 Dec 15; '''11''': | |
| Network analysis of the human structural connectome including the brainstem. Description: Salhi, Salma, et al. Network analysis of the human structural connectome including the brainstem. ''PLoS One''. 2023; '''18''' (4):e0272688 | |
| Overview of methods and available tools used in complex brain disorders. Description: Ilias, Loukas, et al. Overview of methods and available tools used in complex brain disorders. ''Open Res Eur''. 2023; '''3''': 152 | |
| The Liver Tumor Segmentation Benchmark (LiTS). Description: Bilic, Patrick, et al. The Liver Tumor Segmentation Benchmark (LiTS). ''Med Image Anal''. 2023 Feb; '''84''': 102680 | |
| fMRIflows: A Consortium of Fully Automatic Univariate and Multivariate fMRI Processing Pipelines. Description: Notter, Michael P, et al. fMRIflows: A Consortium of Fully Automatic Univariate and Multivariate fMRI Processing Pipelines. ''Brain Topogr''. 2023 Mar; '''36''' (2):172-191 | |
| The three-dimensional weakly supervised deep learning algorithm for traumatic splenic injury detection and sequential localization: an experimental study. Description: Cheng, Chi-Tung, et al. The three-dimensional weakly supervised deep learning algorithm for traumatic splenic injury detection and sequential localization: an experimental study. ''Int J Surg''. 2023 May 1; '''109''' (5):1115-1124 | |
| Default egocentrism: an MVPA approach to overlap in own and others' socio-political attitudes. Description: Welborn, B Locke, et al. Default egocentrism: an MVPA approach to overlap in own and others' socio-political attitudes. ''Soc Cogn Affect Neurosci''. 2023 Jun 20; '''18''' (1): | |
| Classification of head and neck cancer from PET images using convolutional neural networks. Description: Hellstrom, Henri, et al. Classification of head and neck cancer from PET images using convolutional neural networks. ''Sci Rep''. 2023 Jun 29; '''13''' (1):10528 | |
| Measurement of mouse head and neck tumors by automated analysis of CBCT images. Description: Van Court, Benjamin, et al. Measurement of mouse head and neck tumors by automated analysis of CBCT images. ''Sci Rep''. 2023 Jul 25; '''13''' (1):12033 | |
| An automatic analysis framework for FDOPA PET neuroimaging. Description: Nordio, Giovanna, et al. An automatic analysis framework for FDOPA PET neuroimaging. ''J Cereb Blood Flow Metab''. 2023 Aug; '''43''' (8):1285-1300 | |
| Impact of inner ear malformation and cochlear nerve deficiency on the development of auditory-language network in children with profound sensorineural hearing loss. Description: Wang, Yaoxuan, et al. Impact of inner ear malformation and cochlear nerve deficiency on the development of auditory-language network in children with profound sensorineural hearing loss. ''Elife''. 2023 Sep 12; '''12''': | |
| Addressing challenges in radiomics research: systematic review and repository of open-access cancer imaging datasets. Description: Woznicki, Piotr, et al. Addressing challenges in radiomics research: systematic review and repository of open-access cancer imaging datasets. ''Insights Imaging''. 2023 Dec 12; '''14''' (1):216 | |
| A comparison of fMRI presurgical mapping techniques with intraoperative brain mapping-based validation. Description: Radwan, Ahmed M, et al. A comparison of fMRI presurgical mapping techniques with intraoperative brain mapping-based validation. ''Imaging Neurosci (Camb)''. 2024; '''2''': | |
| AeroPath: An airway segmentation benchmark dataset with challenging pathology and baseline method. Description: Stoverud, Karen-Helene, et al. AeroPath: An airway segmentation benchmark dataset with challenging pathology and baseline method. ''PLoS One''. 2024; '''19''' (10):e0311416 | |
| Diverging functional connectivity timescales: Capturing distinct aspects of cognitive performance in early psychosis. Description: Hirsch, Fabian, et al. Diverging functional connectivity timescales: Capturing distinct aspects of cognitive performance in early psychosis. ''Neuroimage Clin''. 2024; '''43''': 103657 | |
| A self-supervised learning approach for registration agnostic imaging models with 3D brain CTA. Description: Dong, Yingjun, et al. A self-supervised learning approach for registration agnostic imaging models with 3D brain CTA. ''iScience''. 2024 Mar 15; '''27''' (3):109004 | |
| Amyloid-beta prediction machine learning model using source-based morphometry across neurocognitive disorders. Description: Momota, Yuki, et al. Amyloid-beta prediction machine learning model using source-based morphometry across neurocognitive disorders. ''Sci Rep''. 2024 Apr 1; '''14''' (1):7633 | |
| Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation. Description: Radwan, Ahmed Mohamed, et al. Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation. ''Hum Brain Mapp''. 2024 Apr 15; '''45''' (6):e26662 | |
| Lateral frontoparietal functional connectivity based on individual sulcal morphology. Description: Hakkinen, Suvi, et al. Lateral frontoparietal functional connectivity based on individual sulcal morphology. ''bioRxiv''. 2024 Apr 18; | |
| Generalizing the Enhanced-Deep-Super-Resolution Neural Network to Brain MR Images: A Retrospective Study on the Cam-CAN Dataset. Description: Fiscone, Cristiana, et al. Generalizing the Enhanced-Deep-Super-Resolution Neural Network to Brain MR Images: A Retrospective Study on the Cam-CAN Dataset. ''eNeuro''. 2024 May; '''11''' (5): | |
| Neural substrates of affective temperaments: An intersubject representational similarity analysis to resting-state functional magnetic resonance imaging in nonclinical subjects. Description: Qiu, Yidan, et al. Neural substrates of affective temperaments: An intersubject representational similarity analysis to resting-state functional magnetic resonance imaging in nonclinical subjects. ''Hum Brain Mapp''. 2024 May; '''45''' (7):e26696 | |
| Deep Learning for Automated Detection and Localization of Traumatic Abdominal Solid Organ Injuries on CT Scans. Description: Cheng, Chi-Tung, et al. Deep Learning for Automated Detection and Localization of Traumatic Abdominal Solid Organ Injuries on CT Scans. ''J Imaging Inform Med''. 2024 Jun; '''37''' (3):1113-1123 | |
| CT and MRI radiomic features of lung cancer (NSCLC): comparison and software consistency. Description: Bortolotto, Chandra, et al. CT and MRI radiomic features of lung cancer (NSCLC): comparison and software consistency. ''Eur Radiol Exp''. 2024 Jun 17; '''8''' (1):71 | |
| Goal commitment is supported by vmPFC through selective attention. Description: Holton, Eleanor, et al. Goal commitment is supported by vmPFC through selective attention. ''Nat Hum Behav''. 2024 Jul; '''8''' (7):1351-1365 | |
| Virtual reality-empowered deep-learning analysis of brain cells. Description: Kaltenecker, Doris, et al. Virtual reality-empowered deep-learning analysis of brain cells. ''Nat Methods''. 2024 Jul; '''21''' (7):1306-1315 | |
| Kidney, ureter, and urinary bladder segmentation based on non-contrast enhanced computed tomography images using modified U-Net. Description: Jang, Dong-Hyun, et al. Kidney, ureter, and urinary bladder segmentation based on non-contrast enhanced computed tomography images using modified U-Net. ''Sci Rep''. 2024 Jul 3; '''14''' (1):15325 | |
| Creative connections: the neural correlates of semantic relatedness are associated with creativity. Description: Herault, Caroline, et al. Creative connections: the neural correlates of semantic relatedness are associated with creativity. ''Commun Biol''. 2024 Jul 4; '''7''' (1):810 | |
| The Human Cerebellum: A Digital Anatomical Atlas at the Level of Individual Folia. Description: Samuelsson, John G, et al. The Human Cerebellum: A Digital Anatomical Atlas at the Level of Individual Folia. ''bioRxiv''. 2024 Aug 28; | |
| Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark. Description: Link, Katherine E, et al. Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark. ''Nat Commun''. 2024 Sep 17; '''15''' (1):8170 | |
| Pre-operative lung ablation prediction using deep learning. Description: Keshavamurthy, Krishna Nand, et al. Pre-operative lung ablation prediction using deep learning. ''Eur Radiol''. 2024 Nov; '''34''' (11):7161-7172 | |
| Neuroanatomical evidence and a mouse calcitonin gene-related peptide model in line with human functional magnetic resonance imaging data support the involvement of peptidergic Edinger-Westphal nucleus in migraine. Description: Al-Omari, Ammar, et al. Neuroanatomical evidence and a mouse calcitonin gene-related peptide model in line with human functional magnetic resonance imaging data support the involvement of peptidergic Edinger-Westphal nucleus in migraine. ''Pain''. 2024 Dec 1; '''165''' (12):2774-2793 | |
| A hierarchical Bayesian brain parcellation framework for fusion of functional imaging datasets. Description: Zhi, Da, et al. A hierarchical Bayesian brain parcellation framework for fusion of functional imaging datasets. ''Imaging Neurosci (Camb)''. 2025; '''3''': | |
| Characterization of experimental cerebral malaria by volumetric MRI A comparative study across the sexes. Description: Comino Garcia Munoz, Alicia, et al. Characterization of experimental cerebral malaria by volumetric MRI A comparative study across the sexes. ''PLoS One''. 2025; '''20''' (8):e0328693 | |
| Enhancing Deep Learning-Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism. Description: Xiao, Yu, et al. Enhancing Deep Learning-Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism. ''Int J Biomed Imaging''. 2025; '''2025''': 7560099 | |
| Pseudo-MRI Engine for MRI-Free Electromagnetic Source Imaging. Description: Jaiswal, Amit, et al. Pseudo-MRI Engine for MRI-Free Electromagnetic Source Imaging. ''Hum Brain Mapp''. 2025 Feb 1; '''46''' (2):e70148 | |
| Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health. Description: Shafiei, G, et al. Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health. ''bioRxiv''. 2025 Feb 26; | |
| A CT-based deep learning-driven tool for automatic liver tumor detection and delineation in patients with cancer. Description: Balaguer-Montero, Maria, et al. A CT-based deep learning-driven tool for automatic liver tumor detection and delineation in patients with cancer. ''Cell Rep Med''. 2025 Apr 15; '''6''' (4):102032 | |
| Cortical thickness deviations as biomarker for subtyping and prognosis in pediatric brainstem tumors. Description: Jia, Heyuan, et al. Cortical thickness deviations as biomarker for subtyping and prognosis in pediatric brainstem tumors. ''Sci Rep''. 2025 Apr 16; '''15''' (1):13132 | |
| HCP Multi-Pipeline: a derived dataset to investigate analytical variability in fMRI. Description: Germani, Elodie, et al. HCP Multi-Pipeline: a derived dataset to investigate analytical variability in fMRI. ''Sci Data''. 2025 Jun 4; '''12''' (1):940 | |
| Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach. Description: Zbinden, Lukas, et al. Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach. ''Eur Radiol Exp''. 2025 Jun 14; '''9''' (1):58 | |
| Generative priors for MRI reconstruction trained from magnitude-only images using phase augmentation. Description: Luo, Guanxiong, et al. Generative priors for MRI reconstruction trained from magnitude-only images using phase augmentation. ''Philos Trans A Math Phys Eng Sci''. 2025 Jun 19; '''383''' (2299):20240323 | |
| A FastSurfer Database for Age-Specific Brain Volumes in Healthy Children: A Tool for Quantifying Localized and Global Brain Volume Alterations in Pediatric Patients. Description: Zughayyar, Ibrahim, et al. A FastSurfer Database for Age-Specific Brain Volumes in Healthy Children: A Tool for Quantifying Localized and Global Brain Volume Alterations in Pediatric Patients. ''Brain Behav''. 2025 Jul; '''15''' (7):e70689 | |
| A novel hybrid vision UNet architecture for brain tumor segmentation and classification. Description: Renugadevi, M, et al. A novel hybrid vision UNet architecture for brain tumor segmentation and classification. ''Sci Rep''. 2025 Jul 3; '''15''' (1):23742 | |
| A novel deep learning-based brain age prediction framework for routine clinical MRI scans. Description: Kim, Hyunwoong, et al. A novel deep learning-based brain age prediction framework for routine clinical MRI scans. ''NPJ Aging''. 2025 Jul 29; '''11''' (1):70 | |
| Interpretable Artificial Intelligence Analysis of Functional Magnetic Resonance Imaging for Migraine Classification: Quantitative Study. Description: Li, Guohao, et al. Interpretable Artificial Intelligence Analysis of Functional Magnetic Resonance Imaging for Migraine Classification: Quantitative Study. ''JMIR Med Inform''. 2025 Sep 3; '''13''': e72155 | |
| Cross-regional radiomics: a novel framework for relationship-based feature extraction with validation in Parkinson's disease motor subtyping. Description: Hosseini, Mahboube Sadat, et al. Cross-regional radiomics: a novel framework for relationship-based feature extraction with validation in Parkinson's disease motor subtyping. ''BioData Min''. 2025 Sep 29; '''18''' (1):67 | |
| Commonalities in cortical neurodegeneration between type 2 diabetes and Alzheimer's disease. Description: Motaghi, Mahboubeh, et al. Commonalities in cortical neurodegeneration between type 2 diabetes and Alzheimer's disease. ''J Alzheimers Dis''. 2025 Oct; '''107''' (3):1304-1318 | |
| In silico discovery of representational relationships across visual cortex. Description: Gifford, Alessandro T, et al. In silico discovery of representational relationships across visual cortex. ''Nat Hum Behav''. 2025 Oct; '''9''' (10):2079-2098 | |
| A Lesion-Aware Patch Sampling Approach with EfficientNet3D-UNet for Robust Multiple Sclerosis Lesion Segmentation. Description: Almaaz, Hind, et al. A Lesion-Aware Patch Sampling Approach with EfficientNet3D-UNet for Robust Multiple Sclerosis Lesion Segmentation. ''J Imaging''. 2025 Oct 13; '''11''' (10): | |
| Quantitative dual-isotope preclinical SPECT/CT imaging and biodistribution of the mercury-197m/g theranostic pair with [(197m/g)Hg]HgCl(2) and a [(197m/g)Hg]Hg-tetrathiol complex as a platform for radiopharmaceutical development. Description: Randhawa, Parmissa, et al. Quantitative dual-isotope preclinical SPECT/CT imaging and biodistribution of the mercury-197m/g theranostic pair with [(197m/g)Hg]HgCl(2) and a [(197m/g)Hg]Hg-tetrathiol complex as a platform for radiopharmaceutical development. ''EJNMMI Radiopharm Chem''. 2025 Oct 14; '''10''' (1):67 | |
| A feasibility study of [18F] FDG PET/CT radiomics in predicting high-risk cytogenetic abnormalities in multiple myeloma. Description: Chen, Hong, et al. A feasibility study of [18F] FDG PET/CT radiomics in predicting high-risk cytogenetic abnormalities in multiple myeloma. ''EJNMMI Res''. 2025 Oct 15; '''15''' (1):131 | |
| Patellar and Femoral Bone Morphology Is Associated With Overweight and Sports Participation in Young Adolescents. Description: van Paassen, Rosemarijn, et al. Patellar and Femoral Bone Morphology Is Associated With Overweight and Sports Participation in Young Adolescents. ''J Orthop Res''. 2025 Dec; '''43''' (12):2221-2232 |