PubMed Mentions
The links below are to publications on PubMed referring to NiBabel. This list is gathered weekly from PubMed automatically.
| Publication/References | |
| A framework for streamlining research workflow in neuroscience and psychology. Description: Kubilius, Jonas. A framework for streamlining research workflow in neuroscience and psychology. ''Front Neuroinform''. 2013; '''7''': 52 | |
| Dipy, a library for the analysis of diffusion MRI data. Description: Garyfallidis, Eleftherios, et al. Dipy, a library for the analysis of diffusion MRI data. ''Front Neuroinform''. 2014; '''8''': 8 | |
| Flexible multivariate hemodynamics fMRI data analyses and simulations with PyHRF. Description: Vincent, Thomas, et al. Flexible multivariate hemodynamics fMRI data analyses and simulations with PyHRF. ''Front Neurosci''. 2014; '''8''': 67 | |
| MNE software for processing MEG and EEG data. Description: Gramfort, Alexandre, et al. MNE software for processing MEG and EEG data. ''Neuroimage''. 2014 Feb 1; '''86''': 446-60 | |
| Discovering networks altered by potential threat ("anxiety") using quadratic discriminant analysis. Description: McMenamin, Brenton W, et al. Discovering networks altered by potential threat ("anxiety") using quadratic discriminant analysis. ''Neuroimage''. 2015 Aug 1; '''116''': 1-9 | |
| Structural brain abnormalities in a single gene disorder associated with epilepsy, language impairment and intellectual disability. Description: Bathelt, Joe, et al. Structural brain abnormalities in a single gene disorder associated with epilepsy, language impairment and intellectual disability. ''Neuroimage Clin''. 2016; '''12''': 655-665 | |
| The Neural Bases of Disgust for Cheese: An fMRI Study. Description: Royet, Jean-Pierre, et al. The Neural Bases of Disgust for Cheese: An fMRI Study. ''Front Hum Neurosci''. 2016; '''10''': 511 | |
| Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding. Description: Sandmair, Martin, et al. Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding. ''BMC Res Notes''. 2016 Nov 17; '''9''' (1):489 | |
| Cholinergic Potentiation and Audiovisual Repetition-Imitation Therapy Improve Speech Production and Communication Deficits in a Person with Crossed Aphasia by Inducing Structural Plasticity in White Matter Tracts. Description: Berthier, Marcelo L, et al. Cholinergic Potentiation and Audiovisual Repetition-Imitation Therapy Improve Speech Production and Communication Deficits in a Person with Crossed Aphasia by Inducing Structural Plasticity in White Matter Tracts. ''Front Hum Neurosci''. 2017; '''11''': 304 | |
| Pypes: Workflows for Processing Multimodal Neuroimaging Data. Description: Savio, Alexandre M, et al. Pypes: Workflows for Processing Multimodal Neuroimaging Data. ''Front Neuroinform''. 2017; '''11''': 25 | |
| Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition. Description: Rubin, Timothy N, et al. Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition. ''PLoS Comput Biol''. 2017 Oct; '''13''' (10):e1005649 | |
| A scalable method to improve gray matter segmentation at ultra high field MRI. Description: Gulban, Omer Faruk, et al. A scalable method to improve gray matter segmentation at ultra high field MRI. ''PLoS One''. 2018; '''13''' (6):e0198335 | |
| Teaching Computational Reproducibility for Neuroimaging. Description: Millman, K Jarrod, et al. Teaching Computational Reproducibility for Neuroimaging. ''Front Neurosci''. 2018; '''12''': 727 | |
| The cortical structure of functional networks associated with age-related cognitive abilities in older adults. Description: Kranz, Michael B, et al. The cortical structure of functional networks associated with age-related cognitive abilities in older adults. ''PLoS One''. 2018; '''13''' (9):e0204280 | |
| Differences in brain morphology and working memory capacity across childhood. Description: Bathelt, Joe, et al. Differences in brain morphology and working memory capacity across childhood. ''Dev Sci''. 2018 May; '''21''' (3):e12579 | |
| Resting-state functional brain connectivity best predicts the personality dimension of openness to experience. Description: Dubois, Julien, et al. Resting-state functional brain connectivity best predicts the personality dimension of openness to experience. ''Personal Neurosci''. 2018 Jul 5; '''1''': | |
| Multimodal MRI-based classification of migraine: using deep learning convolutional neural network. Description: Yang, Hao, et al. Multimodal MRI-based classification of migraine: using deep learning convolutional neural network. ''Biomed Eng Online''. 2018 Oct 11; '''17''' (1):138 | |
| Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging. Description: Keshavan, Anisha, et al. Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging. ''Front Neuroinform''. 2019; '''13''': 29 | |
| Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain. Description: Delettre, Celine, et al. Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain. ''Netw Neurosci''. 2019; '''3''' (4):1038-1050 | |
| Correlated Resting-State Functional MRI Activity of Frontostriatal, Thalamic, Temporal, and Cerebellar Brain Regions Differentiates Stroke Survivors with High Compared to Low Depressive Symptom Scores. Description: Goodin, Peter, et al. Correlated Resting-State Functional MRI Activity of Frontostriatal, Thalamic, Temporal, and Cerebellar Brain Regions Differentiates Stroke Survivors with High Compared to Low Depressive Symptom Scores. ''Neural Plast''. 2019; '''2019''': 2357107 | |
| Decoding spatial location of perceived pain to acupuncture needle using multivoxel pattern analysis. Description: Jung, Won-Mo, et al. Decoding spatial location of perceived pain to acupuncture needle using multivoxel pattern analysis. ''Mol Pain''. 2019 Jan-Dec; '''15''': 1744806919877060 | |
| DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping. Description: Bollmann, Steffen, et al. DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping. ''Neuroimage''. 2019 Jul 15; '''195''': 373-383 | |
| Exploring the impact of analysis software on task fMRI results. Description: Bowring, Alexander, et al. Exploring the impact of analysis software on task fMRI results. ''Hum Brain Mapp''. 2019 Aug 1; '''40''' (11):3362-3384 | |
| Mapping the human subcortical auditory system using histology, postmortem MRI and in vivo MRI at 7T. Description: Sitek, Kevin R, et al. Mapping the human subcortical auditory system using histology, postmortem MRI and in vivo MRI at 7T. ''Elife''. 2019 Aug 1; '''8''': | |
| Classification of Alzheimer's Disease with and without Imagery using Gradient Boosted Machines and ResNet-50. Description: Fulton, Lawrence V, et al. Classification of Alzheimer's Disease with and without Imagery using Gradient Boosted Machines and ResNet-50. ''Brain Sci''. 2019 Aug 22; '''9''' (9): | |
| Biopsy Confirmed Glioma Recurrence Predicted by Multi-Modal Neuroimaging Metrics. Description: Costabile, Jamie D, et al. Biopsy Confirmed Glioma Recurrence Predicted by Multi-Modal Neuroimaging Metrics. ''J Clin Med''. 2019 Aug 23; '''8''' (9): | |
| Tricalbin-Mediated Contact Sites Control ER Curvature to Maintain Plasma Membrane Integrity. Description: Collado, Javier, et al. Tricalbin-Mediated Contact Sites Control ER Curvature to Maintain Plasma Membrane Integrity. ''Dev Cell''. 2019 Nov 18; '''51''' (4):476-487.e7 | |
| 3 versus 7 Tesla magnetic resonance imaging for parcellations of subcortical brain structures in clinical settings. Description: Isaacs, Bethany R, et al. 3 versus 7 Tesla magnetic resonance imaging for parcellations of subcortical brain structures in clinical settings. ''PLoS One''. 2020; '''15''' (11):e0236208 | |
| Pyneal: Open Source Real-Time fMRI Software. Description: MacInnes, Jeff J, et al. Pyneal: Open Source Real-Time fMRI Software. ''Front Neurosci''. 2020; '''14''': 900 | |
| The Effectiveness of Online Messages for Promoting Smoking Cessation Resources: Predicting Nationwide Campaign Effects From Neural Responses in the EX Campaign. Description: Schmalzle, Ralf, et al. The Effectiveness of Online Messages for Promoting Smoking Cessation Resources: Predicting Nationwide Campaign Effects From Neural Responses in the EX Campaign. ''Front Hum Neurosci''. 2020; '''14''': 565772 | |
| CBPtools: a Python package for regional connectivity-based parcellation. Description: Reuter, Niels, et al. CBPtools: a Python package for regional connectivity-based parcellation. ''Brain Struct Funct''. 2020 May; '''225''' (4):1261-1275 | |
| Does the magnetization transfer effect bias chemical exchange saturation transfer effects? Quantifying chemical exchange saturation transfer in the presence of magnetization transfer. Description: Smith, Alex K, et al. Does the magnetization transfer effect bias chemical exchange saturation transfer effects? Quantifying chemical exchange saturation transfer in the presence of magnetization transfer. ''Magn Reson Med''. 2020 Sep; '''84''' (3):1359-1375 | |
| Brain disconnections link structural connectivity with function and behaviour. Description: Thiebaut de Schotten, Michel, et al. Brain disconnections link structural connectivity with function and behaviour. ''Nat Commun''. 2020 Oct 9; '''11''' (1):5094 | |
| Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture. Description: Gao, Richard, et al. Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture. ''Elife''. 2020 Nov 23; '''9''': | |
| Convolutional Neural Net Learning Can Achieve Production-Level Brain Segmentation in Structural Magnetic Resonance Imaging. Description: Fletcher, Evan, et al. Convolutional Neural Net Learning Can Achieve Production-Level Brain Segmentation in Structural Magnetic Resonance Imaging. ''Front Neurosci''. 2021; '''15''': 683426 | |
| On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking. Description: Aydin, Orhun Utku, et al. On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking. ''Eur Radiol Exp''. 2021 Jan 21; '''5''' (1):4 | |
| Structural templates for imaging EEG cortical sources in infants. Description: O'Reilly, Christian, et al. Structural templates for imaging EEG cortical sources in infants. ''Neuroimage''. 2021 Feb 15; '''227''': 117682 | |
| Brain pathology recapitulates physiology: A network meta-analysis. Description: Vanasse, Thomas J, et al. Brain pathology recapitulates physiology: A network meta-analysis. ''Commun Biol''. 2021 Mar 8; '''4''' (1):301 | |
| The neural basis of intelligence in fine-grained cortical topographies. Description: Feilong, Ma, et al. The neural basis of intelligence in fine-grained cortical topographies. ''Elife''. 2021 Mar 8; '''10''': | |
| Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience. Description: Chang, Luke J, et al. Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience. ''Sci Adv''. 2021 Apr; '''7''' (17): | |
| Differentiating Real-World Autobiographical Experiences without Recourse to Behaviour. Description: Erez, Jonathan, et al. Differentiating Real-World Autobiographical Experiences without Recourse to Behaviour. ''Brain Sci''. 2021 Apr 20; '''11''' (4): | |
| SimPET-An open online platform for the Monte Carlo simulation of realistic brain PET data. Validation for (18) F-FDG scans. Description: Paredes-Pacheco, Jose, et al. SimPET-An open online platform for the Monte Carlo simulation of realistic brain PET data. Validation for (18) F-FDG scans. ''Med Phys''. 2021 May; '''48''' (5):2482-2493 | |
| Amodal completion instead of predictive coding can explain activity suppression of early visual cortex during illusory shape perception. Description: Yan, Chuyao, et al. Amodal completion instead of predictive coding can explain activity suppression of early visual cortex during illusory shape perception. ''J Vis''. 2021 May 3; '''21''' (5):13 | |
| Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography. Description: Uhm, Kwang-Hyun, et al. Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography. ''NPJ Precis Oncol''. 2021 Jun 18; '''5''' (1):54 | |
| An evaluation of performance measures for arterial brain vessel segmentation. Description: Aydin, Orhun Utku, et al. An evaluation of performance measures for arterial brain vessel segmentation. ''BMC Med Imaging''. 2021 Jul 16; '''21''' (1):113 | |
| TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning. Description: Perez-Garcia, Fernando, et al. TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning. ''Comput Methods Programs Biomed''. 2021 Sep; '''208''': 106236 | |
| Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task. Description: Bouget, David, et al. Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task. ''Cancers (Basel)''. 2021 Sep 17; '''13''' (18): | |
| The "Narratives" fMRI dataset for evaluating models of naturalistic language comprehension. Description: Nastase, Samuel A, et al. The "Narratives" fMRI dataset for evaluating models of naturalistic language comprehension. ''Sci Data''. 2021 Sep 28; '''8''' (1):250 | |
| Intensity patterns at the peaks of brain activity in fMRI and PET are highly correlated with neural models of spatial integration. Description: Sadoun, Amirouche, et al. Intensity patterns at the peaks of brain activity in fMRI and PET are highly correlated with neural models of spatial integration. ''Eur J Neurosci''. 2021 Nov; '''54''' (9):7141-7151 | |
| Standardizing workflows in imaging transcriptomics with the abagen toolbox. Description: Markello, Ross D, et al. Standardizing workflows in imaging transcriptomics with the abagen toolbox. ''Elife''. 2021 Nov 16; '''10''': | |
| Effect of data leakage in brain MRI classification using 2D convolutional neural networks. Description: Yagis, Ekin, et al. Effect of data leakage in brain MRI classification using 2D convolutional neural networks. ''Sci Rep''. 2021 Nov 19; '''11''' (1):22544 | |
| Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer. Description: Wong, Alexander, et al. Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer. ''Sci Rep''. 2022 Mar 1; '''12''' (1):3376 | |
| Caltech Conte Center, a multimodal data resource for exploring social cognition and decision-making. Description: Kliemann, Dorit, et al. Caltech Conte Center, a multimodal data resource for exploring social cognition and decision-making. ''Sci Data''. 2022 Mar 31; '''9''' (1):138 | |
| 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 | |
| Orthogonal representations for robust context-dependent task performance in brains and neural networks. Description: Flesch, Timo, et al. Orthogonal representations for robust context-dependent task performance in brains and neural networks. ''Neuron''. 2022 Apr 6; '''110''' (7):1258-1270.e11 | |
| Tasks activating the default mode network map multiple functional systems. Description: Mancuso, Lorenzo, et al. Tasks activating the default mode network map multiple functional systems. ''Brain Struct Funct''. 2022 Jun; '''227''' (5):1711-1734 | |
| Voxel-wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns. Description: Escobar, Thibault, et al. Voxel-wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns. ''Med Phys''. 2022 Jun; '''49''' (6):3816-3829 | |
| Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease. Description: Sharbatdaran, Arman, et al. Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease. ''Tomography''. 2022 Jul 13; '''8''' (4):1804-1819 | |
| Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study. Description: Gryska, Emilia, et al. Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study. ''BMJ Open''. 2022 Jul 18; '''12''' (7):e059000 | |
| Higher-resolution quantification of white matter hypointensities by large-scale transfer learning from 2D images on the JPSC-AD cohort. Description: Thyreau, Benjamin, et al. Higher-resolution quantification of white matter hypointensities by large-scale transfer learning from 2D images on the JPSC-AD cohort. ''Hum Brain Mapp''. 2022 Sep; '''43''' (13):3998-4012 | |
| Association between aerobic fitness and the functional connectome in patients with schizophrenia. Description: Roell, Lukas, et al. Association between aerobic fitness and the functional connectome in patients with schizophrenia. ''Eur Arch Psychiatry Clin Neurosci''. 2022 Oct; '''272''' (7):1253-1272 | |
| 3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients. Description: Di Napoli, Alberto, et al. 3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients. ''J Digit Imaging''. 2022 Nov 30; 1-14 | |
| 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 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 |