PubMed Mentions
The links below are to publications on PubMed referring to NIfTI. This list is gathered weekly from PubMed automatically and was last updated on December 17, 2025.
| Publication/References | |
| Waxholm Space atlas of the rat brain auditory system: Three-dimensional delineations based on structural and diffusion tensor magnetic resonance imaging. Description: Osen, Kirsten K, et al. Waxholm Space atlas of the rat brain auditory system: Three-dimensional delineations based on structural and diffusion tensor magnetic resonance imaging. ''Neuroimage''. 2019 Oct 1; '''199''': 38-56 | |
| Alcohol drinking and brain morphometry in apparently healthy community-dwelling Japanese men. Description: Syaifullah, Ali Haidar, et al. Alcohol drinking and brain morphometry in apparently healthy community-dwelling Japanese men. ''Alcohol''. 2021 Feb; '''90''': 57-65 | |
| A study of regional homogeneity of resting-state Functional Magnetic Resonance Imaging in mild cognitive impairment. Description: Liu, Li, et al. A study of regional homogeneity of resting-state Functional Magnetic Resonance Imaging in mild cognitive impairment. ''Behav Brain Res''. 2021 Mar 26; '''402''': 113103 | |
| An analytical workflow for seed-based correlation and independent component analysis in interventional resting-state fMRI studies. Description: Seewoo, Bhedita J, et al. An analytical workflow for seed-based correlation and independent component analysis in interventional resting-state fMRI studies. ''Neurosci Res''. 2021 Apr; '''165''': 26-37 | |
| Chemerin impairs food intake and body weight in chicken: Focus on hypothalamic neuropeptides gene expression and AMPK signaling pathway. Description: Estienne, Anthony, et al. Chemerin impairs food intake and body weight in chicken: Focus on hypothalamic neuropeptides gene expression and AMPK signaling pathway. ''Gen Comp Endocrinol''. 2021 Apr 1; '''304''': 113721 | |
| LayNii: A software suite for layer-fMRI. Description: Huber, Laurentius Renzo, et al. LayNii: A software suite for layer-fMRI. ''Neuroimage''. 2021 Aug 15; '''237''': 118091 | |
| Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use. Description: Laird, Angela R. Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use. ''Neuroimage''. 2021 Dec 1; '''244''': 118579 | |
| Cerebral (18) F-fluorodeoxyglucose metabolism alteration of reward- and motivation-related regions in groups of different BMI classifications. Description: Duan, Yu-Jie, et al. Cerebral (18) F-fluorodeoxyglucose metabolism alteration of reward- and motivation-related regions in groups of different BMI classifications. ''Obesity (Silver Spring)''. 2022 Nov; '''30''' (11):2213-2221 | |
| Federated learning enables big data for rare cancer boundary detection. Description: Pati, Sarthak, et al. Federated learning enables big data for rare cancer boundary detection. ''Nat Commun''. 2022 Dec 5; '''13''' (1):7346 | |
| Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions. Description: Zbinden, Lukas, et al. Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions. ''Sci Rep''. 2022 Dec 21; '''12''' (1):22059 | |
| FMR1 deletion in rats induces hyperactivity with no changes in striatal dopamine transporter availability. Description: D'Elia, Annunziata, et al. FMR1 deletion in rats induces hyperactivity with no changes in striatal dopamine transporter availability. ''Sci Rep''. 2022 Dec 29; '''12''' (1):22535 | |
| Harnessing axonal transport to map reward circuitry: Differing brain-wide projections from medial prefrontal cortical domains. Description: Bearer, Elaine L, et al. Harnessing axonal transport to map reward circuitry: Differing brain-wide projections from medial prefrontal cortical domains. ''Front Cell Dev Biol''. 2023; '''11''': 1278831 | |
| The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images. Description: Hirvasniemi, J, et al. The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images. ''Osteoarthritis Cartilage''. 2023 Jan; '''31''' (1):115-125 | |
| Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors. Description: Raut, P, et al. Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors. ''Front Radiol''. 2023; '''3''': 1336902 | |
| Multilesion Segmentations in Patients with Intracerebral Hemorrhage: Reliability of ICH, IVH and PHE Masks. Description: Vogt, Estelle, et al. Multilesion Segmentations in Patients with Intracerebral Hemorrhage: Reliability of ICH, IVH and PHE Masks. ''Tomography''. 2023 Jan 11; '''9''' (1):89-97 | |
| MRI evidence of olfactory system alterations in patients with COVID-19 and neurological symptoms. Description: Capelli, Serena, et al. MRI evidence of olfactory system alterations in patients with COVID-19 and neurological symptoms. ''J Neurol''. 2023 Jan 19; 1-12 | |
| Generative adversarial network constrained multiple loss autoencoder: A deep learning-based individual atrophy detection for Alzheimer's disease and mild cognitive impairment. Description: Shi, Rong, et al. Generative adversarial network constrained multiple loss autoencoder: A deep learning-based individual atrophy detection for Alzheimer's disease and mild cognitive impairment. ''Hum Brain Mapp''. 2023 Feb 15; '''44''' (3):1129-1146 | |
| Comparative validation of AI and non-AI methods in MRI volumetry to diagnose Parkinsonian syndromes. Description: Song, Joomee, et al. Comparative validation of AI and non-AI methods in MRI volumetry to diagnose Parkinsonian syndromes. ''Sci Rep''. 2023 Mar 1; '''13''' (1):3439 | |
| 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 | |
| Modelling the differential effects of age on transcranial magnetic stimulation induced electric fields. Description: Alawi, Mansour, et al. Modelling the differential effects of age on transcranial magnetic stimulation induced electric fields. ''J Neural Eng''. 2023 Mar 16; '''20''' (2): | |
| Development and External Validation of a Deep Learning Algorithm to Identify and Localize Subarachnoid Hemorrhage on CT Scans. Description: Thanellas, Antonios, et al. Development and External Validation of a Deep Learning Algorithm to Identify and Localize Subarachnoid Hemorrhage on CT Scans. ''Neurology''. 2023 Mar 21; '''100''' (12):e1257-e1266 | |
| Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites. Description: Wahid, Kareem A, et al. Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites. ''Sci Data''. 2023 Mar 22; '''10''' (1):161 | |
| Identifying the engagement of a brain network during a targeted tDCS-fMRI experiment using a machine learning approach. Description: Shinde, Anant, et al. Identifying the engagement of a brain network during a targeted tDCS-fMRI experiment using a machine learning approach. ''PLoS Comput Biol''. 2023 Apr; '''19''' (4):e1011012 | |
| Three-round learning strategy based on 3D deep convolutional GANs for Alzheimer's disease staging. Description: Kang, Wenjie, et al. Three-round learning strategy based on 3D deep convolutional GANs for Alzheimer's disease staging. ''Sci Rep''. 2023 Apr 7; '''13''' (1):5750 | |
| 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 | |
| A pharmacological challenge paradigm to assess neural signatures of script-elicited acute dissociation in women with post-traumatic stress disorder. Description: Mertens, Yoki L, et al. A pharmacological challenge paradigm to assess neural signatures of script-elicited acute dissociation in women with post-traumatic stress disorder. ''BJPsych Open''. 2023 May 2; '''9''' (3):e78 | |
| Prediction of prostate tumour hypoxia using pre-treatment MRI-derived radiomics: preliminary findings. Description: Zhong, Jim, et al. Prediction of prostate tumour hypoxia using pre-treatment MRI-derived radiomics: preliminary findings. ''Radiol Med''. 2023 Jun; '''128''' (6):765-774 | |
| The Brain/MINDS Marmoset Connectivity Resource: An open-access platform for cellular-level tracing and tractography in the primate brain. Description: Skibbe, Henrik, et al. The Brain/MINDS Marmoset Connectivity Resource: An open-access platform for cellular-level tracing and tractography in the primate brain. ''PLoS Biol''. 2023 Jun; '''21''' (6):e3002158 | |
| Topographic Mapping of Isolated Thalamic Infarcts Using Vascular and Novel Probabilistic Functional Thalamic Landmarks. Description: Rauch, Maximilian, et al. Topographic Mapping of Isolated Thalamic Infarcts Using Vascular and Novel Probabilistic Functional Thalamic Landmarks. ''Clin Neuroradiol''. 2023 Jun; '''33''' (2):435-444 | |
| A large-scale fMRI dataset for human action recognition. Description: Zhou, Ming, et al. A large-scale fMRI dataset for human action recognition. ''Sci Data''. 2023 Jun 27; '''10''' (1):415 | |
| EDSS and infratentorial white matter lesion volume are considered predictors of fatigue severity in RRMS. Description: Ezzeldin, Mohammed Y, et al. EDSS and infratentorial white matter lesion volume are considered predictors of fatigue severity in RRMS. ''Sci Rep''. 2023 Jul 14; '''13''' (1):11404 | |
| Independent and additive contribution of white matter hyperintensities and Alzheimer's disease pathology to basal forebrain cholinergic system degeneration. Description: Kindler, Christine, et al. Independent and additive contribution of white matter hyperintensities and Alzheimer's disease pathology to basal forebrain cholinergic system degeneration. ''Neuroimage Clin''. 2023 Jul 17; '''39''': 103477 | |
| Local and long-distance organization of prefrontal cortex circuits in the marmoset brain. Description: Watakabe, Akiya, et al. Local and long-distance organization of prefrontal cortex circuits in the marmoset brain. ''Neuron''. 2023 Jul 19; '''111''' (14):2258-2273.e10 | |
| A large-scale fMRI dataset for the visual processing of naturalistic scenes. Description: Gong, Zhengxin, et al. A large-scale fMRI dataset for the visual processing of naturalistic scenes. ''Sci Data''. 2023 Aug 23; '''10''' (1):559 | |
| Diagnostic Accuracy of Epilepsy-dedicated MRI with Post-processing. Description: Urbach, Horst, et al. Diagnostic Accuracy of Epilepsy-dedicated MRI with Post-processing. ''Clin Neuroradiol''. 2023 Sep; '''33''' (3):709-719 | |
| Efficacy of heat-inactivated Mycobacterium bovis vaccine delivered to European badgers (Meles meles) through edible bait. Description: Juste, Ramon A, et al. Efficacy of heat-inactivated Mycobacterium bovis vaccine delivered to European badgers (Meles meles) through edible bait. ''Heliyon''. 2023 Sep; '''9''' (9):e19349 | |
| Sensitivity of standardised radiomics algorithms to mask generation across different software platforms. Description: Whybra, Philip, et al. Sensitivity of standardised radiomics algorithms to mask generation across different software platforms. ''Sci Rep''. 2023 Sep 2; '''13''' (1):14419 | |
| Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation. Description: Wahid, Kareem A, et al. Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation. ''medRxiv''. 2023 Sep 5; | |
| Harnessing axonal transport to map reward circuitry: Differing brain-wide projections from medial forebrain domains. Description: Bearer, E L, et al. Harnessing axonal transport to map reward circuitry: Differing brain-wide projections from medial forebrain domains. ''bioRxiv''. 2023 Sep 10; | |
| MRI-based machine learning models predict the malignant biological behavior of meningioma. Description: Li, Maoyuan, et al. MRI-based machine learning models predict the malignant biological behavior of meningioma. ''BMC Med Imaging''. 2023 Sep 27; '''23''' (1):141 | |
| MRI-based radiomic signatures for pretreatment prognostication in cervical cancer. Description: Wagner-Larsen, Kari S, et al. MRI-based radiomic signatures for pretreatment prognostication in cervical cancer. ''Cancer Med''. 2023 Oct; '''12''' (20):20251-20265 | |
| The utility of automatic segmentation of kidney MRI in chronic kidney disease using a 3D convolutional neural network. Description: Inoue, Kaiji, et al. The utility of automatic segmentation of kidney MRI in chronic kidney disease using a 3D convolutional neural network. ''Sci Rep''. 2023 Oct 13; '''13''' (1):17361 | |
| An artificial intelligence-assisted diagnosis modeling software (AIMS) platform based on medical images and machine learning: a development and validation study. Description: Zhou, Zhiyong, et al. An artificial intelligence-assisted diagnosis modeling software (AIMS) platform based on medical images and machine learning: a development and validation study. ''Quant Imaging Med Surg''. 2023 Nov 1; '''13''' (11):7504-7522 | |
| Non-contrast computed tomography features predict intraventricular hemorrhage growth. Description: Nawabi, Jawed, et al. Non-contrast computed tomography features predict intraventricular hemorrhage growth. ''Eur Radiol''. 2023 Nov; '''33''' (11):7807-7817 | |
| Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules. Description: Selvam, Minmini, et al. Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules. ''Sci Rep''. 2023 Nov 4; '''13''' (1):19062 | |
| A robust class decomposition-based approach for detecting Alzheimer's progression. Description: Alwuthaynani, Maha M, et al. A robust class decomposition-based approach for detecting Alzheimer's progression. ''Exp Biol Med (Maywood)''. 2023 Dec; '''248''' (24):2514-2525 | |
| Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy Study. Description: Rockall, Andrea G, et al. Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy Study. ''Invest Radiol''. 2023 Dec 1; '''58''' (12):823-831 | |
| Reduced Lateralization of Multiple Functional Brain Networks in Autistic Males. Description: Peterson, Madeline, et al. Reduced Lateralization of Multiple Functional Brain Networks in Autistic Males. ''bioRxiv''. 2023 Dec 18; | |
| Mortality Prediction of Patients with Subarachnoid Hemorrhage Using a Deep Learning Model Based on an Initial Brain CT Scan. Description: Garcia-Garcia, Sergio, et al. Mortality Prediction of Patients with Subarachnoid Hemorrhage Using a Deep Learning Model Based on an Initial Brain CT Scan. ''Brain Sci''. 2023 Dec 22; '''14''' (1): | |
| Activation Likelihood Estimation Neuroimaging Meta-Analysis: a Powerful Tool for Emotion Research. Description: Costa, Tommaso, et al. Activation Likelihood Estimation Neuroimaging Meta-Analysis: a Powerful Tool for Emotion Research. ''Psychol Res Behav Manag''. 2024; '''17''': 2331-2345 | |
| A fusion analytic framework for investigating functional brain connectivity differences using resting-state fMRI. Description: Jeon, Yeseul, et al. A fusion analytic framework for investigating functional brain connectivity differences using resting-state fMRI. ''Front Neurosci''. 2024; '''18''': 1402657 | |
| A longitudinal study of the brain structure network changes in HIV patients with ANI: combined VBM with SCN. Description: Xu, Fan, et al. A longitudinal study of the brain structure network changes in HIV patients with ANI: combined VBM with SCN. ''Front Neurol''. 2024; '''15''': 1388616 | |
| Analyzing Thalamocortical Tract-Tracing Experiments in a Common Reference Space. Description: Timonidis, Nestor, et al. Analyzing Thalamocortical Tract-Tracing Experiments in a Common Reference Space. ''Neuroinformatics''. 2024 Jan; '''22''' (1):23-43 | |
| An exploratory study of the impact of CT slice thickness and inter-rater variability on anatomical accuracy of malunited distal radius models and surgical guides for corrective osteotomy. Description: Gryska, Emilia, et al. An exploratory study of the impact of CT slice thickness and inter-rater variability on anatomical accuracy of malunited distal radius models and surgical guides for corrective osteotomy. ''PLoS One''. 2024; '''19''' (10):e0311805 | |
| Association study of brain structure-function coupling and glymphatic system function in patients with mild cognitive impairment due to Alzheimer's disease. Description: Sun, Yong-Wen, et al. Association study of brain structure-function coupling and glymphatic system function in patients with mild cognitive impairment due to Alzheimer's disease. ''Front Neurosci''. 2024; '''18''': 1417986 | |
| Brain image data processing using collaborative data workflows on Texera. Description: Ding, Yunyan, et al. Brain image data processing using collaborative data workflows on Texera. ''Front Neural Circuits''. 2024; '''18''': 1398884 | |
| CT texture analysis of vertebrobasilar artery calcification to identify culprit plaques. Description: Liu, Bo, et al. CT texture analysis of vertebrobasilar artery calcification to identify culprit plaques. ''Front Neurol''. 2024; '''15''': 1381370 | |
| Deep medullary veins score is associated with atrophy in patients with cerebral small vessel disease. Description: Mao, Fan, et al. Deep medullary veins score is associated with atrophy in patients with cerebral small vessel disease. ''Front Neurol''. 2024; '''15''': 1417805 | |
| Machine learning techniques based on (18)F-FDG PET radiomics features of temporal regions for the classification of temporal lobe epilepsy patients from healthy controls. Description: Liao, Kai, et al. Machine learning techniques based on (18)F-FDG PET radiomics features of temporal regions for the classification of temporal lobe epilepsy patients from healthy controls. ''Front Neurol''. 2024; '''15''': 1377538 | |
| Microstructural alterations in white matter and related neurobiology based on the new clinical subtypes of Parkinson's disease. Description: Yuan, Xiaorong, et al. Microstructural alterations in white matter and related neurobiology based on the new clinical subtypes of Parkinson's disease. ''Front Neurosci''. 2024; '''18''': 1439443 | |
| Neuroanatomical correlates of aggressiveness: a case-control voxel- and surface-based morphometric study. Description: Seidenbecher, Stephanie, et al. Neuroanatomical correlates of aggressiveness: a case-control voxel- and surface-based morphometric study. ''Brain Struct Funct''. 2024 Jan; '''229''' (1):31-46 | |
| Relationship between physical activity and cerebral white matter hyperintensity volumes in older adults with depressive symptoms and mild memory impairment: a cross-sectional study. Description: Otsuka, Shotaro, et al. Relationship between physical activity and cerebral white matter hyperintensity volumes in older adults with depressive symptoms and mild memory impairment: a cross-sectional study. ''Front Aging Neurosci''. 2024; '''16''': 1337397 | |
| Sex differences and age-related changes in vertebral body volume and volumetric bone mineral density at the thoracolumbar spine using opportunistic QCT. Description: Ruhling, Sebastian, et al. Sex differences and age-related changes in vertebral body volume and volumetric bone mineral density at the thoracolumbar spine using opportunistic QCT. ''Front Endocrinol (Lausanne)''. 2024; '''15''': 1352048 | |
| The anterior sylvian point as a reliable landmark for the anterior temporal lobectomy in mesial temporal lobe epilepsy: technical note, case series, and cadaveric dissection. Description: Fava, Arianna, et al. The anterior sylvian point as a reliable landmark for the anterior temporal lobectomy in mesial temporal lobe epilepsy: technical note, case series, and cadaveric dissection. ''Front Med (Lausanne)''. 2024; '''11''': 1352321 | |
| Inhibiting Inducible Nitric Oxide Synthase with 1400W Reduces Soman (GD)-Induced Ferroptosis in Long-Term Epilepsy-Associated Neuropathology: Structural and Functional Magnetic Resonance Imaging Correlations with Neurobehavior and Brain Pathology. Description: Putra, Marson, et al. Inhibiting Inducible Nitric Oxide Synthase with 1400W Reduces Soman (GD)-Induced Ferroptosis in Long-Term Epilepsy-Associated Neuropathology: Structural and Functional Magnetic Resonance Imaging Correlations with Neurobehavior and Brain Pathology. ''J Pharmacol Exp Ther''. 2024 Jan 17; '''388''' (2):724-738 | |
| Probing the glioma microvasculature: a case series of the comparison between perfusion MRI and intraoperative high-frame-rate ultrafast Doppler ultrasound. Description: Alafandi, Ahmad, et al. Probing the glioma microvasculature: a case series of the comparison between perfusion MRI and intraoperative high-frame-rate ultrafast Doppler ultrasound. ''Eur Radiol Exp''. 2024 Jan 26; '''8''' (1):13 | |
| Image annotation and curation in radiology: an overview for machine learning practitioners. Description: Galbusera, Fabio, et al. Image annotation and curation in radiology: an overview for machine learning practitioners. ''Eur Radiol Exp''. 2024 Feb 6; '''8''' (1):11 | |
| Cerebral MRI in a prospective cohort study on depression and atherosclerosis: the BiDirect sample, processing pipelines, and analysis tools. Description: Wulms, Niklas, et al. Cerebral MRI in a prospective cohort study on depression and atherosclerosis: the BiDirect sample, processing pipelines, and analysis tools. ''Eur Radiol Exp''. 2024 Feb 9; '''8''' (1):16 | |
| Deep learning segmentation of organs-at-risk with integration into clinical workflow for pediatric brain radiotherapy. Description: Mekki, Lina, et al. Deep learning segmentation of organs-at-risk with integration into clinical workflow for pediatric brain radiotherapy. ''J Appl Clin Med Phys''. 2024 Mar; '''25''' (3):e14310 | |
| Elevated brain temperature under severe heat exposure impairs cortical motor activity and executive function. Description: Tan, Xiang Ren, et al. Elevated brain temperature under severe heat exposure impairs cortical motor activity and executive function. ''J Sport Health Sci''. 2024 Mar; '''13''' (2):233-244 | |
| A Human Brain Map of Mitochondrial Respiratory Capacity and Diversity. Description: Mosharov, Eugene V, et al. A Human Brain Map of Mitochondrial Respiratory Capacity and Diversity. ''bioRxiv''. 2024 Mar 7; | |
| Tumour Size and Overall Survival in a Cohort of Patients with Unifocal Glioblastoma: A Uni- and Multivariable Prognostic Modelling and Resampling Study. Description: Fatania, Kavi, et al. Tumour Size and Overall Survival in a Cohort of Patients with Unifocal Glioblastoma: A Uni- and Multivariable Prognostic Modelling and Resampling Study. ''Cancers (Basel)''. 2024 Mar 27; '''16''' (7): | |
| Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing. Description: Fonseca, N C D, et al. Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing. ''J Imaging''. 2024 Mar 28; '''10''' (4): | |
| Additive Effects of Monetary Loss and Positive Emotion in the Human Brain. Description: Jaiswal, Sagarika, et al. Additive Effects of Monetary Loss and Positive Emotion in the Human Brain. ''eNeuro''. 2024 Apr; '''11''' (4): | |
| Enhancing paranasal sinus disease detection with AutoML: efficient AI development and evaluation via magnetic resonance imaging. Description: Cheong, Ryan Chin Taw, et al. Enhancing paranasal sinus disease detection with AutoML: efficient AI development and evaluation via magnetic resonance imaging. ''Eur Arch Otorhinolaryngol''. 2024 Apr; '''281''' (4):2153-2158 | |
| Development and Implementation of an Innovative Framework for Automated Radiomics Analysis in Neuroimaging. Description: Camastra, Chiara, et al. Development and Implementation of an Innovative Framework for Automated Radiomics Analysis in Neuroimaging. ''J Imaging''. 2024 Apr 22; '''10''' (4): | |
| Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images. Description: Bayrakdar, Ibrahim Sevki, et al. Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images. ''Dentomaxillofac Radiol''. 2024 Apr 29; '''53''' (4):256-266 | |
| Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation. Description: Dagnino, Paulina Clara, et al. Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation. ''PLoS Comput Biol''. 2024 May; '''20''' (5):e1011350 | |
| SAROS: A dataset for whole-body region and organ segmentation in CT imaging. Description: Koitka, Sven, et al. SAROS: A dataset for whole-body region and organ segmentation in CT imaging. ''Sci Data''. 2024 May 10; '''11''' (1):483 | |
| Radiomic profiles improve prognostication and reveal targets for therapy in cervical cancer. Description: Halle, Mari Kylleso, et al. Radiomic profiles improve prognostication and reveal targets for therapy in cervical cancer. ''Sci Rep''. 2024 May 17; '''14''' (1):11339 | |
| Three-dimensional magnetic resonance imaging-based statistical shape analysis and machine learning-based prediction of patellofemoral instability. Description: Nagawa, Keita, et al. Three-dimensional magnetic resonance imaging-based statistical shape analysis and machine learning-based prediction of patellofemoral instability. ''Sci Rep''. 2024 May 18; '''14''' (1):11390 | |
| Subclinical structural atypicality of retinal thickness and its association with gray matter volume in the visual cortex of maltreated children. Description: Yao, Akiko, et al. Subclinical structural atypicality of retinal thickness and its association with gray matter volume in the visual cortex of maltreated children. ''Sci Rep''. 2024 May 20; '''14''' (1):11465 | |
| Deep-learning segmentation to select liver parenchyma for categorizing hepatic steatosis on multinational chest CT. Description: Zhang, Zhongyi, et al. Deep-learning segmentation to select liver parenchyma for categorizing hepatic steatosis on multinational chest CT. ''Sci Rep''. 2024 May 25; '''14''' (1):11987 | |
| 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 | |
| Radiomics-based machine learning approach for the prediction of grade and stage in upper urinary tract urothelial carcinoma: a step towards virtual biopsy. Description: Alqahtani, Abdulsalam, et al. Radiomics-based machine learning approach for the prediction of grade and stage in upper urinary tract urothelial carcinoma: a step towards virtual biopsy. ''Int J Surg''. 2024 Jun 1; '''110''' (6):3258-3268 | |
| Vein of Galen aneurysmal malformation: does size affect outcome? Description: Parodi, Costanza, et al. Vein of Galen aneurysmal malformation: does size affect outcome? ''Neuroradiology''. 2024 Jun; '''66''' (6):1031-1042 | |
| 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 | |
| Automated detection of fatal cerebral haemorrhage in postmortem CT data. Description: Zirn, Andrea, et al. Automated detection of fatal cerebral haemorrhage in postmortem CT data. ''Int J Legal Med''. 2024 Jul; '''138''' (4):1391-1399 | |
| 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 | |
| An interpretable artificial intelligence model based on CT for prognosis of intracerebral hemorrhage: a multicenter study. Description: Zhang, Hao, et al. An interpretable artificial intelligence model based on CT for prognosis of intracerebral hemorrhage: a multicenter study. ''BMC Med Imaging''. 2024 Jul 9; '''24''' (1):170 | |
| Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using a multimodal neural network. Description: Tanioka, Satoru, et al. Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using a multimodal neural network. ''Sci Rep''. 2024 Jul 16; '''14''' (1):16465 | |
| Adaptive fine-tuning based transfer learning for the identification of MGMT promoter methylation status. Description: Schmitz, Erich, et al. Adaptive fine-tuning based transfer learning for the identification of MGMT promoter methylation status. ''Biomed Phys Eng Express''. 2024 Jul 30; '''10''' (5): | |
| Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics. Description: Gross, Moritz, et al. Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics. ''Eur Radiol''. 2024 Aug; '''34''' (8):5056-5065 | |
| A Practical Guide to Manual and Semi-Automated Neurosurgical Brain Lesion Segmentation. Description: Jain, Raunak, et al. A Practical Guide to Manual and Semi-Automated Neurosurgical Brain Lesion Segmentation. ''NeuroSci''. 2024 Sep; '''5''' (3):265-275 | |
| Effect of Jardiance on glucose uptake into astrocytomas. Description: Ghezzi, Chiara, et al. Effect of Jardiance on glucose uptake into astrocytomas. ''J Neurooncol''. 2024 Sep; '''169''' (2):437-444 | |
| Harnessing Advanced Machine Learning Techniques for Microscopic Vessel Segmentation in Pulmonary Fibrosis Using Novel Hierarchical Phase-Contrast Tomography Images. Description: Harnessing Advanced Machine Learning Techniques for Microscopic Vessel Segmentation in Pulmonary Fibrosis Using Novel Hierarchical Phase-Contrast Tomography Images. ''''. 2024 Sep; '''63''' (3-04):97-108 | |
| Investigation of distributed learning for automated lesion detection in head MR images. Description: Yamada, Aiki, et al. Investigation of distributed learning for automated lesion detection in head MR images. ''Radiol Phys Technol''. 2024 Sep; '''17''' (3):725-738 | |
| Reconstructing Spatiotemporal Trajectories of Visual Object Memories in the Human Brain. Description: Lifanov-Carr, Julia, et al. Reconstructing Spatiotemporal Trajectories of Visual Object Memories in the Human Brain. ''eNeuro''. 2024 Sep; '''11''' (9): | |
| The Combination of Presurgical Cortical Gray Matter Volumetry and Cerebral Perfusion Improves the Efficacy of Predicting Postoperative Cognitive Impairment of Elderly Patients. Description: Zhou, Weijian, et al. The Combination of Presurgical Cortical Gray Matter Volumetry and Cerebral Perfusion Improves the Efficacy of Predicting Postoperative Cognitive Impairment of Elderly Patients. ''Tomography''. 2024 Sep 1; '''10''' (9):1379-1396 | |
| Cerebrovascular Reactivity Assessed by Breath-Hold Functional MRI in Patients with Neurological Post-COVID-19 Syndrome-A Pilot Study. Description: Zerweck, Leonie, et al. Cerebrovascular Reactivity Assessed by Breath-Hold Functional MRI in Patients with Neurological Post-COVID-19 Syndrome-A Pilot Study. ''Neurol Int''. 2024 Sep 9; '''16''' (5):992-1004 | |
| A Comparative Study of Frontal and Cerebellar Lobe Volumes Between Patients With First-Episode Schizophrenia and Healthy Controls and Its Association With Psychopathology and Neurological Soft Signs in Patients. Description: Mahapatra, Siddhant, et al. A Comparative Study of Frontal and Cerebellar Lobe Volumes Between Patients With First-Episode Schizophrenia and Healthy Controls and Its Association With Psychopathology and Neurological Soft Signs in Patients. ''Cureus''. 2024 Oct; '''16''' (10):e71389 | |
| Enhanced classification performance using deep learning based segmentation for pulmonary embolism detection in CT angiography. Description: Kahraman, Ali Teymur, et al. Enhanced classification performance using deep learning based segmentation for pulmonary embolism detection in CT angiography. ''Heliyon''. 2024 Oct 15; '''10''' (19):e38118 | |
| The ABCs of Subarachnoid Hemorrhage Blood Volume Measurement: A Simplified Quantitative Method Predicts Outcomes and Delayed Cerebral Ischemia. Description: Fottinger, Fabian, et al. The ABCs of Subarachnoid Hemorrhage Blood Volume Measurement: A Simplified Quantitative Method Predicts Outcomes and Delayed Cerebral Ischemia. ''J Am Heart Assoc''. 2024 Oct 15; '''13''' (20):e032195 | |
| Functional PET/MRI reveals active inhibition of neuronal activity during optogenetic activation of the nigrostriatal pathway. Description: Haas, Sabrina, et al. Functional PET/MRI reveals active inhibition of neuronal activity during optogenetic activation of the nigrostriatal pathway. ''Sci Adv''. 2024 Oct 25; '''10''' (43):eadn2776 | |
| Subthalamic stimulation causally modulates human voluntary decision-making to stay or go. Description: Wang, Yichen, et al. Subthalamic stimulation causally modulates human voluntary decision-making to stay or go. ''NPJ Parkinsons Dis''. 2024 Nov 2; '''10''' (1):210 | |
| An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-body (68)Ga- DOTATATE PET/CT. Description: Haque, Fahmida, et al. An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-body (68)Ga- DOTATATE PET/CT. ''EJNMMI Res''. 2024 Nov 5; '''14''' (1):103 | |
| Motor learning promotes regionally-specific spindle-slow wave coupled cerebral memory reactivation. Description: Baena, Daniel, et al. Motor learning promotes regionally-specific spindle-slow wave coupled cerebral memory reactivation. ''Commun Biol''. 2024 Nov 12; '''7''' (1):1492 | |
| Altered structural and functional homotopic connectivity associated with cognitive changes in SLE. Description: Ni, Sha, et al. Altered structural and functional homotopic connectivity associated with cognitive changes in SLE. ''Lupus Sci Med''. 2024 Nov 24; '''11''' (2): | |
| Clinical and imaging correlates of hyperorality in syndromes associated with frontotemporal lobar degeneration. Description: Altomare, Daniele, et al. Clinical and imaging correlates of hyperorality in syndromes associated with frontotemporal lobar degeneration. ''Psychiatry Clin Neurosci''. 2024 Dec; '''78''' (12):818-825 | |
| An evaluation of image-based and statistical techniques for harmonizing brain volume measurements. Description: Lu, Yuan-Chiao, et al. An evaluation of image-based and statistical techniques for harmonizing brain volume measurements. ''Imaging Neurosci (Camb)''. 2025; '''3''': | |
| Classification of the stages of Alzheimer's disease based on three-dimensional lightweight neural networks. Description: Li, Jun, et al. Classification of the stages of Alzheimer's disease based on three-dimensional lightweight neural networks. ''PeerJ Comput Sci''. 2025; '''11''': e2897 | |
| Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer. Description: Tie, Xin, et al. Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer. ''Head Neck Tumor Segm MR Guid Appl (2024)''. 2025; '''15273''': 99-111 | |
| Ensemble Deep Learning Models for Automated Segmentation of Tumor and Lymph Node Volumes in Head and Neck Cancer Using Pre- and Mid-Treatment MRI: Application of Auto3DSeg and SegResNet. Description: LaBella, Dominic. Ensemble Deep Learning Models for Automated Segmentation of Tumor and Lymph Node Volumes in Head and Neck Cancer Using Pre- and Mid-Treatment MRI: Application of Auto3DSeg and SegResNet. ''Head Neck Tumor Segm MR Guid Appl (2024)''. 2025; '''15273''': 259-273 | |
| Functional Connectivity Alterations Associated with COVID-19-Related Sleep Problems: A Longitudinal Resting-State fMRI Study. Description: Chen, Hao-Bo, et al. Functional Connectivity Alterations Associated with COVID-19-Related Sleep Problems: A Longitudinal Resting-State fMRI Study. ''Nat Sci Sleep''. 2025; '''17''': 97-113 | |
| Imaging-based assessment of response to olaparib in platinum-sensitive relapsed ovarian cancer patients. Description: Delgado-Ortet, Maria, et al. Imaging-based assessment of response to olaparib in platinum-sensitive relapsed ovarian cancer patients. ''Front Oncol''. 2025; '''15''': 1546324 | |
| Multimodal deep learning model for prediction of prognosis in central nervous system inflammation. Description: Choi, Bo Kyu, et al. Multimodal deep learning model for prediction of prognosis in central nervous system inflammation. ''Brain Commun''. 2025; '''7''' (3):fcaf179 | |
| Phenomena of hypo- and hyperconnectivity in basal ganglia-thalamo-cortical circuits linked to major depression: a 7T fMRI study. Description: Hagen, Jana, et al. Phenomena of hypo- and hyperconnectivity in basal ganglia-thalamo-cortical circuits linked to major depression: a 7T fMRI study. ''Mol Psychiatry''. 2025 Jan; '''30''' (1):158-167 | |
| Relationship Between Resting-State Functional Magnetic Resonance Imaging and Different Time in Target Glucose Range in Elderly Patients with Type 2 Diabetes Mellitus. Description: Yang, Ping, et al. Relationship Between Resting-State Functional Magnetic Resonance Imaging and Different Time in Target Glucose Range in Elderly Patients with Type 2 Diabetes Mellitus. ''Diabetes Metab Syndr Obes''. 2025; '''18''': 1151-1164 | |
| HeteroMRI: Robust white matter abnormality classification across multi-scanner MRI data. Description: Abedi, Masoud, et al. HeteroMRI: Robust white matter abnormality classification across multi-scanner MRI data. ''Gigascience''. 2025 Jan 6; '''14''': | |
| A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling. Description: Liu, Fan, et al. A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling. ''BMC Med Inform Decis Mak''. 2025 Jan 15; '''25''' (1):26 | |
| Cognitive Impairment in Chronic Kidney Disease Across Different Stages: The Role of Structural and Perfusion-Driven Functional Connectivity Changes. Description: Bai, Xiaoyan, et al. Cognitive Impairment in Chronic Kidney Disease Across Different Stages: The Role of Structural and Perfusion-Driven Functional Connectivity Changes. ''Brain Behav''. 2025 Feb; '''15''' (2):e70330 | |
| Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles. Description: Oliveira, Matheus L, et al. Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles. ''Dentomaxillofac Radiol''. 2025 Feb 1; '''54''' (2):109-117 | |
| Predicting survival rate by plasma biomarkers and clinical variables in syndromes associated with frontotemporal lobar degeneration. Description: Cotelli, Maria Sofia, et al. Predicting survival rate by plasma biomarkers and clinical variables in syndromes associated with frontotemporal lobar degeneration. ''Alzheimers Dement''. 2025 Feb; '''21''' (2):e14558 | |
| Real world federated learning with a knowledge distilled transformer for cardiac CT imaging. Description: Tolle, Malte, et al. Real world federated learning with a knowledge distilled transformer for cardiac CT imaging. ''NPJ Digit Med''. 2025 Feb 6; '''8''' (1):88 | |
| Stacked CNN-based multichannel attention networks for Alzheimer disease detection. Description: Hassan, Najmul, et al. Stacked CNN-based multichannel attention networks for Alzheimer disease detection. ''Sci Rep''. 2025 Feb 17; '''15''' (1):5815 | |
| Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study. Description: Torra-Ferrer, Neus, et al. Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study. ''J Imaging''. 2025 Feb 20; '''11''' (3): | |
| Cervicothoracic volumetric bone mineral density assessed by opportunistic QCT may be a reliable marker for osteoporosis in adults. Description: Ramschutz, Constanze, et al. Cervicothoracic volumetric bone mineral density assessed by opportunistic QCT may be a reliable marker for osteoporosis in adults. ''Osteoporos Int''. 2025 Mar; '''36''' (3):423-433 | |
| Explainable deep learning algorithm for identifying cerebral venous sinus thrombosis-related hemorrhage (CVST-ICH) from spontaneous intracerebral hemorrhage using computed tomography. Description: Yang, Kai-Cheng, et al. Explainable deep learning algorithm for identifying cerebral venous sinus thrombosis-related hemorrhage (CVST-ICH) from spontaneous intracerebral hemorrhage using computed tomography. ''EClinicalMedicine''. 2025 Mar; '''81''': 103128 | |
| Regional gray matter thickness correlations of the hearing and deaf feline brains. Description: Gordon, Stephen G, et al. Regional gray matter thickness correlations of the hearing and deaf feline brains. ''Neuroimage Rep''. 2025 Mar; '''5''' (1):100239 | |
| Characterizing positive and negative quantitative susceptibility values in the cortex following mild traumatic brain injury: a depth- and curvature-based study. Description: Essex, Christi A, et al. Characterizing positive and negative quantitative susceptibility values in the cortex following mild traumatic brain injury: a depth- and curvature-based study. ''Cereb Cortex''. 2025 Mar 6; '''35''' (3): | |
| B(RAIN)(2)-BRAIN integrated Resource for Anatomy and Intracranial Neurophysiology. Description: Alijanpourotaghsara, Amirreza, et al. B(RAIN)(2)-BRAIN integrated Resource for Anatomy and Intracranial Neurophysiology. ''Sci Data''. 2025 Mar 15; '''12''' (1):442 | |
| Federated learning with integrated attention multiscale model for brain tumor segmentation. Description: Alphonse, Sherly, et al. Federated learning with integrated attention multiscale model for brain tumor segmentation. ''Sci Rep''. 2025 Apr 7; '''15''' (1):11889 | |
| Advancing periodontal diagnosis: harnessing advanced artificial intelligence for patterns of periodontal bone loss in cone-beam computed tomography. Description: Kurt-Bayrakdar, Sevda, et al. Advancing periodontal diagnosis: harnessing advanced artificial intelligence for patterns of periodontal bone loss in cone-beam computed tomography. ''Dentomaxillofac Radiol''. 2025 May 1; '''54''' (4):268-278 | |
| Inter-reader agreement of RECIST and mRECIST criteria for assessing response to transarterial chemoembolization in hepatocellular carcinoma. Description: Mohammadzadeh, Saeed, et al. Inter-reader agreement of RECIST and mRECIST criteria for assessing response to transarterial chemoembolization in hepatocellular carcinoma. ''BMC Med Imaging''. 2025 May 3; '''25''' (1):148 | |
| Locating eloquent sites identified during brain tumor intraoperative mapping on reference MRI atlas. Description: Elia, Angela, et al. Locating eloquent sites identified during brain tumor intraoperative mapping on reference MRI atlas. ''Commun Med (Lond)''. 2025 May 7; '''5''' (1):161 | |
| Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection. Description: Mukherjee, Sovanlal, et al. Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection. ''Sci Rep''. 2025 May 16; '''15''' (1):17096 | |
| Development of a non-contrast CT-based radiomics nomogram for early prediction of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage. Description: Chen, Lingxu, et al. Development of a non-contrast CT-based radiomics nomogram for early prediction of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage. ''BMC Med Imaging''. 2025 May 23; '''25''' (1):182 | |
| Large Scale MRI Collection and Segmentation of Cirrhotic Liver. Description: Jha, Debesh, et al. Large Scale MRI Collection and Segmentation of Cirrhotic Liver. ''Sci Data''. 2025 May 28; '''12''' (1):896 | |
| Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs. Description: Bejar, Andrea M, et al. Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs. ''Res Sq''. 2025 May 30; | |
| Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategy. Description: Suo, Xueling, et al. Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategy. ''EBioMedicine''. 2025 Jun; '''116''': 105773 | |
| Habitat imaging radiomics increases the accuracy of a nomogram for predicting Ki-67-positivity in laryngeal squamous cell carcinoma. Description: Dong, Yumeng, et al. Habitat imaging radiomics increases the accuracy of a nomogram for predicting Ki-67-positivity in laryngeal squamous cell carcinoma. ''Eur J Radiol Open''. 2025 Jun; '''14''': 100659 | |
| Neural correlates of children with avoidant restrictive food intake disorder symptoms: large-scale neuroanatomical analysis of a paediatric population. Description: Sader, Michelle, et al. Neural correlates of children with avoidant restrictive food intake disorder symptoms: large-scale neuroanatomical analysis of a paediatric population. ''J Child Psychol Psychiatry''. 2025 Jun; '''66''' (6):785-795 | |
| Non-Invasive Tumor Budding Evaluation and Correlation with Treatment Response in Bladder Cancer: A Multi-Center Cohort Study. Description: Li, Xiaoyang, et al. Non-Invasive Tumor Budding Evaluation and Correlation with Treatment Response in Bladder Cancer: A Multi-Center Cohort Study. ''Adv Sci (Weinh)''. 2025 Jun; '''12''' (22):e2416161 | |
| Quantitative Brain MRI Analysis in Neurodegenerative Langerhans Cell Histiocytosis. Description: Baek, Chooyoung, et al. Quantitative Brain MRI Analysis in Neurodegenerative Langerhans Cell Histiocytosis. ''Eur J Neurol''. 2025 Jun; '''32''' (6):e70249 | |
| Risk Stratification Prediction of Endometrial Cancer Using Microstructural Mapping Based on Time-Dependent Diffusion MRI. Description: Zhao, Yu, et al. Risk Stratification Prediction of Endometrial Cancer Using Microstructural Mapping Based on Time-Dependent Diffusion MRI. ''Cancer Sci''. 2025 Jun; '''116''' (6):1627-1637 | |
| Structural alterations as a predictor of depression - a 7-Tesla MRI-based multidimensional approach. Description: Schnellbacher, Gereon J, et al. Structural alterations as a predictor of depression - a 7-Tesla MRI-based multidimensional approach. ''Mol Psychiatry''. 2025 Jun; '''30''' (6):2517-2524 | |
| AI-powered segmentation of bifid mandibular canals using CBCT. Description: Gumussoy, Ismail, et al. AI-powered segmentation of bifid mandibular canals using CBCT. ''BMC Oral Health''. 2025 Jun 4; '''25''' (1):907 | |
| A Novel Machine Learning Model for the Automated Diagnosis of Nasal Pathology in Canine Patients. Description: Istrate, Andreea, et al. A Novel Machine Learning Model for the Automated Diagnosis of Nasal Pathology in Canine Patients. ''Animals (Basel)''. 2025 Jun 10; '''15''' (12): | |
| 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 | |
| Mitigating Organophosphate Nerve Agent, Soman (GD)-Induced Long-Term Neurotoxicity: Saracatinib, a Src Tyrosine Kinase Inhibitor, as a Potential Countermeasure. Description: Massey, Nyzil, et al. Mitigating Organophosphate Nerve Agent, Soman (GD)-Induced Long-Term Neurotoxicity: Saracatinib, a Src Tyrosine Kinase Inhibitor, as a Potential Countermeasure. ''Res Sq''. 2025 Jun 24; | |
| An fMRI Dataset on Occluded Image Interpretation for Human Amodal Completion Research. Description: Li, Bao, et al. An fMRI Dataset on Occluded Image Interpretation for Human Amodal Completion Research. ''Sci Data''. 2025 Jul 1; '''12''' (1):1111 | |
| Assessment of calf muscle constitution in chronic Achilles tendon disease using Dixon-based MRI. Description: Goller, Sophia S, et al. Assessment of calf muscle constitution in chronic Achilles tendon disease using Dixon-based MRI. ''Skeletal Radiol''. 2025 Jul; '''54''' (7):1457-1468 | |
| Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence Models. Description: Heine, Lukas, et al. Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence Models. ''Transl Vis Sci Technol''. 2025 Jul 1; '''14''' (7):8 | |
| Validation of criteria for frontotemporal dementia with right anterior temporal lobe predominance. Description: Jung, Na-Yeon, et al. Validation of criteria for frontotemporal dementia with right anterior temporal lobe predominance. ''Alzheimers Dement''. 2025 Jul; '''21''' (7):e70443 | |
| Preoperative arterial and venous CT radiomics for survival prediction after pylorus preserving pancreatoduodenectomy in pancreatic head cancer. Description: Rastkhiz, Annika, et al. Preoperative arterial and venous CT radiomics for survival prediction after pylorus preserving pancreatoduodenectomy in pancreatic head cancer. ''Sci Rep''. 2025 Jul 10; '''15''' (1):24924 | |
| AI generated annotations for Breast, Brain, Liver, Lungs, and Prostate cancer collections in the National Cancer Institute Imaging Data Commons. Description: Murugesan, Gowtham Krishnan, et al. AI generated annotations for Breast, Brain, Liver, Lungs, and Prostate cancer collections in the National Cancer Institute Imaging Data Commons. ''Sci Data''. 2025 Jul 29; '''12''' (1):1317 | |
| Combining MRI radiomics, hypoxia gene signature score and clinical variables for prediction of biochemical recurrence-free survival after radiotherapy in prostate cancer. Description: Zhong, Jim, et al. Combining MRI radiomics, hypoxia gene signature score and clinical variables for prediction of biochemical recurrence-free survival after radiotherapy in prostate cancer. ''Radiol Med''. 2025 Aug; '''130''' (8):1139-1148 | |
| Volumetric Integrated Classification Index: An Integrated Voxel-Based Morphometry and Machine Learning Interpretable Biomarker for Post-Traumatic Stress Disorder. Description: Jia, Yulong, et al. Volumetric Integrated Classification Index: An Integrated Voxel-Based Morphometry and Machine Learning Interpretable Biomarker for Post-Traumatic Stress Disorder. ''J Imaging Inform Med''. 2025 Aug; '''38''' (4):1924-1934 | |
| A Web-Deployed, Explainable AI System for Comprehensive Brain Tumor Diagnosis. Description: Aksoy, Serra, et al. A Web-Deployed, Explainable AI System for Comprehensive Brain Tumor Diagnosis. ''Neurol Int''. 2025 Aug 4; '''17''' (8): | |
| Mitigating organophosphate nerve agent, soman (GD), induced long-term neurotoxicity: Saracatinib, a Src Tyrosine Kinase inhibitor, as a potential countermeasure. Description: Massey, Nyzil, et al. Mitigating organophosphate nerve agent, soman (GD), induced long-term neurotoxicity: Saracatinib, a Src Tyrosine Kinase inhibitor, as a potential countermeasure. ''J Neuroinflammation''. 2025 Aug 5; '''22''' (1):199 | |
| Detection of maxillary sinus pathologies using deep learning algorithms. Description: Aktuna Belgin, Ceren, et al. Detection of maxillary sinus pathologies using deep learning algorithms. ''Eur Arch Otorhinolaryngol''. 2025 Sep; '''282''' (9):4727-4734 | |
| Shared neurobiological changes in individuals with Crohn's disease and major depressive disorder. Description: Hartmann, Hanna A, et al. Shared neurobiological changes in individuals with Crohn's disease and major depressive disorder. ''Commun Med (Lond)''. 2025 Sep 17; '''5''' (1):388 | |
| Evaluation of inflammatory vascular responses in patients with severe periodontitis by contrast-enhanced perfusion dental MRI. Description: Lauer, Arne, et al. Evaluation of inflammatory vascular responses in patients with severe periodontitis by contrast-enhanced perfusion dental MRI. ''Eur Radiol Exp''. 2025 Sep 24; '''9''' (1):96 | |
| Leveraging multi-modal foundation model image encoders to enhance brain MRI-based headache classification. Description: Rafsani, Fazle, et al. Leveraging multi-modal foundation model image encoders to enhance brain MRI-based headache classification. ''Sci Rep''. 2025 Sep 26; '''15''' (1):33256 | |
| Voxel-wise analysis of brain metastasis predilection sites in breast cancer by clinical features. Description: Wang, Hairong, et al. Voxel-wise analysis of brain metastasis predilection sites in breast cancer by clinical features. ''Discov Oncol''. 2025 Sep 30; '''16''' (1):1781 | |
| Calibration of multisite raters for prospective visual reads of amyloid PET scans. Description: Soleimani-Meigooni, David N, et al. Calibration of multisite raters for prospective visual reads of amyloid PET scans. ''Alzheimers Dement''. 2025 Oct; '''21''' (10):e70732 | |
| Sustainable deep learning-based breast lesion segmentation: impact of breast region segmentation on performance. Description: Narimani, Sam, et al. Sustainable deep learning-based breast lesion segmentation: impact of breast region segmentation on performance. ''BMC Med Imaging''. 2025 Oct 10; '''25''' (1):406 | |
| Automated body weight measurement using computed tomography. Description: Schenkl, Sebastian, et al. Automated body weight measurement using computed tomography. ''Sci Rep''. 2025 Oct 15; '''15''' (1):36110 | |
| Individualized prescriptive inference in ischaemic stroke. Description: Giles, Dominic, et al. Individualized prescriptive inference in ischaemic stroke. ''Nat Commun''. 2025 Oct 16; '''16''' (1):8968 | |
| Redefining MRI-Based Skull Segmentation Through AI-Driven Multimodal Integration. Description: Beyer, Michel, et al. Redefining MRI-Based Skull Segmentation Through AI-Driven Multimodal Integration. ''J Imaging''. 2025 Oct 22; '''11''' (11): | |
| Development of an Open-Source Algorithm for Automated Segmentation in Clinician-Led Paranasal Sinus Radiologic Research. Description: Darbari Kaul, Rhea, et al. Development of an Open-Source Algorithm for Automated Segmentation in Clinician-Led Paranasal Sinus Radiologic Research. ''Laryngoscope''. 2025 Nov; '''135''' (11):4125-4133 | |
| The differential relationship between white matter cerebrovascular perfusion and microstructure between normal cognition and mild cognitive impairment. Description: Kim, Donghoon, et al. The differential relationship between white matter cerebrovascular perfusion and microstructure between normal cognition and mild cognitive impairment. ''J Alzheimers Dis''. 2025 Nov; '''108''' (1_suppl):S293-S305 | |
| Targeting tumoral heterogeneity in lung cancer: a novel, CT-texture-guided targeted biopsy approach with exome sequencing. Description: Hertel, Alexander, et al. Targeting tumoral heterogeneity in lung cancer: a novel, CT-texture-guided targeted biopsy approach with exome sequencing. ''NPJ Precis Oncol''. 2025 Nov 7; '''9''' (1):342 | |
| Construction of a mild cognitive impairment prediction model for Parkinson's disease patients on the basis of multimodal data. Description: Liang, Chunyu, et al. Construction of a mild cognitive impairment prediction model for Parkinson's disease patients on the basis of multimodal data. ''NPJ Parkinsons Dis''. 2025 Nov 18; '''11''' (1):318 | |
| Naturalistic fMRI and MEG recordings during viewing of a reality TV show. Description: Li, Jixing, et al. Naturalistic fMRI and MEG recordings during viewing of a reality TV show. ''Sci Data''. 2025 Nov 18; '''12''' (1):1809 | |
| A longitudinal MRI dataset of brain metastases with tumor segmentations, clinical & radiomic data. Description: Flouri, Dimitra, et al. A longitudinal MRI dataset of brain metastases with tumor segmentations, clinical & radiomic data. ''Sci Data''. 2025 Nov 19; '''12''' (1):1828 | |
| MU-Glioma Post: A comprehensive dataset of automated MR multi-sequence segmentation and clinical features. Description: Mahmoud, Esmat, et al. MU-Glioma Post: A comprehensive dataset of automated MR multi-sequence segmentation and clinical features. ''Sci Data''. 2025 Nov 20; '''12''' (1):1847 | |
| Effects of Progressive Aerobic Training on Executive-Reward Network Connectivity and Symptoms of Internet Gaming Disorder: Randomized Controlled Trial. Description: Cui, Shaoyu, et al. Effects of Progressive Aerobic Training on Executive-Reward Network Connectivity and Symptoms of Internet Gaming Disorder: Randomized Controlled Trial. ''JMIR Serious Games''. 2025 Nov 28; '''13''': e83597 | |
| MRI radiomic signature predicts peritumoral brain edema resolution following meningioma surgery. Description: Garcia-Garcia, Sergio, et al. MRI radiomic signature predicts peritumoral brain edema resolution following meningioma surgery. ''Acta Neurochir (Wien)''. 2025 Dec 3; '''167''' (1):313 |