Resources
Publications
Peer-reviewed papers and conference proceedings featuring Carina AI products and research.
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Big bones mean big muscles: an MRI-based dataset of muscle-bone-body size relationships across 70 human muscles of the upper limb, trunk, and lower limb
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Deformable point cloud registration-based bidirectional local distance (DPCR-BLD): Systematic evaluation and visualization of local disagreements in clinical autocontouring
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A deep learning algorithm for automatic 3D segmentation and quantification of hamstrings musculotendon injury from MRI
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A language vision model approach for automated tumor contouring in radiation oncology
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Achieving accurate prostate auto-segmentation on CT in the absence of MR imaging
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Deep Learning for CT Synthesis in Radiotherapy
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Improving the precision of deep-learning-based head and neck target auto-segmentation by leveraging radiology reports using a large language model
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Morphological changes of the choroid plexus in the lateral ventricle across the lifespan: 5551 subjects from fetus to elderly
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MRI denoising with a non-blind deep complex-valued convolutional neural network
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Multiscale Segmentation-Guided Diffusion Model for CBCT-to-CT Synthesis
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Quantifying Muscle Volume Deficits Among 38 Lower Extremity Muscles in Collegiate Football Athletes After Anterior Cruciate Ligament Reconstruction
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Synthetic Data for the Get With The Guidelines-Stroke Registry
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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
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Vision-language model for report generation and outcome prediction in CT pulmonary angiogram
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Active learning in brain tumor segmentation with uncertainty sampling and annotation redundancy restriction
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AI driven analysis of MRI to measure health and disease progression in FSHD
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Associations between the choroid plexus and tau in Alzheimer's disease using an active learning segmentation pipeline
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Efficient segmentation of fetal brain MRI based on the physical resolution
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Empowering Research With the American Heart Association Get With The Guidelines Registries Through Integration of a Database and Research Tools
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EXACT-Net: Framework for EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy
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High-resolution spiral real-time cardiac cine imaging with deep learning-based rapid image reconstruction and quantification
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Impact of artificial intelligence-based autosegmentation of organs at risk in low- and middle-income countries
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MRI-based prediction of clinical improvement after ventricular shunt placement for normal pressure hydrocephalus
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Novel 3D MRI-based volumetric assessment of rotator cuff musculature
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Prediction of shunt malfunction using automated ventricular volume analysis and radiomics
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Pulmonary MRI with hyperpolarized xenon-129 demonstrates novel alterations in gas transfer across the air-blood barrier in asthma
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A deep learning algorithm for automatic 3D segmentation of rotator cuff muscle and fat from clinical MRI scans
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Brain tumor segmentation for multi-modal MRI with missing information
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Contour subregion error detection methodology using deep learning auto-segmentation
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Contouring quality assurance methodology based on multiple geometric features against deep learning auto-segmentation
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DAART: a deep learning platform for deeply accelerated adaptive radiation therapy for lung cancer
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deepPERFECT: Novel deep learning CT synthesis method for expeditious pancreatic cancer radiotherapy
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Dynamic cardiac MRI with high spatiotemporal resolution using accelerated spiral-out and spiral-in/out bSSFP pulse sequences at 1.5 T
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Establishment of age- and sex-specific reference cerebral ventricle volumes
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First report on physician assessment and clinical acceptability of custom-retrained AI models for CTV and OAR auto-delineation for postprostatectomy patients
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Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout
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Incremental retraining, clinical implementation, and acceptance rate of deep learning auto-segmentation for male pelvis in a multiuser environment
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An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data
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Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data
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Automated 3D fetal brain segmentation using an optimized deep learning approach
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Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors
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Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
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Development of a virtual source model for Monte Carlo-based independent dose calculation for Varian linac
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Evaluating the clinical acceptability of deep learning contours of prostate and organs-at-risk in an automated prostate treatment planning process
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Head and neck synthetic CT generated from ultra-low-dose cone-beam CT following Image Gently Protocol using deep neural network
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Head and neck tumor segmentation in PET/CT: The HECKTOR challenge
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Head and neck tumor segmentation with deeply-supervised 3D UNet and progression-free survival prediction with linear model
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Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT
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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
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SPRING-RIO TSE: 2D T(2) -Weighted Turbo Spin-Echo brain imaging using SPiral RINGs with retraced in/out trajectories
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The Impact of Optic Nerve Movement on Intracranial Radiation Treatment
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A preclinical study of diffusion-weighted MRI contrast as an early indicator of thermal ablation
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Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge
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Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping
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Lung nodule malignancy prediction in sequential CT scans: Summary of ISBI 2018 Challenge
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Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data
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Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
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Patch-based 3D UNet for head and neck tumor segmentation with an ensemble of conventional and dilated convolutions
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Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
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Real-time dynamic vocal tract imaging using an accelerated spiral GRE sequence and low rank plus sparse reconstruction
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Suppression of artifact-generating echoes in cine DENSE using deep learning
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Accuracy and reliability of computer-assisted semi-automated morphological analysis of intracranial aneurysms: an experimental study with digital phantoms and clinical aneurysm cases
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Automated apparent diffusion coefficient analysis for genotype prediction in lower grade glioma
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Brain tumor segmentation using an ensemble of 3D U-Nets and overall survival prediction using radiomic features
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Convolutional neural network enhancement of fast-scan low-dose cone-beam CT images for head and neck radiotherapy
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Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images
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Improving accuracy and robustness of deep convolutional neural network based thoracic OAR segmentation
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Organ-specific segmentation versus multi-class segmentation using U-Net
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Quantitative relationships between individual lower-limb muscle volumes and jump and sprint performances of basketball players
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Technical note: Atlas-based Auto-segmentation of masticatory muscles for head and neck cancer radiotherapy
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A Dynamic Magnetic Resonance Imaging-Based Method to Examine In Vivo Levator Veli Palatini Muscle Function During Speech
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Automatic segmentation of all lower limb muscles from high-resolution MRI using a cascaded 3D deep convolutional neural network
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Convolutional neural networks with template-based data augmentation for functional lung image quantification
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Correcting image blur in spiral, retraced in/out (RIO) acquisitions using a maximized energy objective
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Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images
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Probing changes in lung physiology in COPD using CT, perfusion MRI, and hyperpolarized Xenon-129 MRI
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A spiral-based volumetric acquisition for MR temperature imaging
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Assessment of velopharyngeal function with dual-planar high-resolution real-time spiral dynamic MRI
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Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017
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Spatially-segmented undersampled MRI temperature reconstruction for transcranial MR-guided focused ultrasound
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Direct and accelerated parameter mapping using the unscented Kalman filter
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Non-Cartesian balanced steady-state free precession pulse sequences for real-time cardiac MRI
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Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction
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Rapid acquisition of helium-3 and proton three-dimensional image sets of the human lung in a single breath-hold using compressed sensing
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Kalman filter techniques for accelerated Cartesian dynamic cardiac imaging