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Janine Lupo, PhD
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Publications
Janine Lupo, PhD's Publications
3D spatial sampling to quantify morphologic heterogeneity in isocitrate dehydrogenase-wildtype glioblastoma.
Along-Tract Diffusion Alterations in the Dentato-Rubro-Thalamic Tract Correlate With Motor and Cognitive Decline in Huntington's Disease.
Clinical Translation of Hyperpolarized 13C Metabolic Probes for Glioma Imaging.
Interplay Between Sex and Cytosine-Adenine-Guanine-Age Product Score in Huntington's Disease: Clinical and Neuroimaging Perspectives.
Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI.
Spatial 3D genome organization reveals intratumor heterogeneity in primary glioblastoma samples.
TRANSIENT ALTERATIONS IN THALAMO-CEREBELLAR FUNCTIONAL CONNECTIVITY IN PREMANIFEST HUNTINGTON'S DISEASE.
Advanced Hyperpolarized 13C Metabolic Imaging Protocol for Patients with Gliomas: A Comprehensive Multimodal MRI Approach.
Altered Iron and Microstructure in Huntington's Disease Subcortical Nuclei: Insight From 7T MRI.
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements.
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice.
Automatic Brain Tissue and Lesion Segmentation and Multi-Parametric Mapping of Contrast-Enhancing Gliomas without the Injection of Contrast Agents: A Preliminary Study.
Glioblastoma evolution and heterogeneity from a 3D whole-tumor perspective.
Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting.
Interplay between Sex and Disease Burden in Huntington's Disease: Clinical and Neuroimaging Perspectives.
Noninvasive Autopsy-Validated Tumor Probability Maps Identify Glioma Invasion Beyond Contrast Enhancement.
Quantitative Assessment of Preanalytic Variables on Clinical Evaluation of PI3/AKT/mTOR Signaling Activity in Diffuse Glioma.
A feasibility study for quantitative assessment of cerebrovascular malformations using flutriciclamide ([18F]GE-180) PET/MRI.
Cavernous Angioma Symptomatic Hemorrhage (CASH) Trial Readiness II: Imaging Biomarkers and Trial Modeling.
DeepSWI: Using Deep Learning to Enhance Susceptibility Contrast on T2*-Weighted MRI.
Editorial for "Relationship Between Microstructural Alterations and Cognitive Decline After Whole-Brain Radiation Therapy for Brain Metastases: An Exploratory Whole-Brain MR Analysis Based on Neurite Orientation Dispersion and Density Imaging".
Ethical Considerations for MRI Research in Human Subjects in the Era of Precision Medicine.
Ethical considerations of preclinical models in imaging research.
Evaluation of deep learning models for quality control of MR spectra.
Evaluation of major depressive disorder using 7 Tesla phase sensitive neuroimaging before and after mindfulness-based cognitive therapy.
Multi-parametric hyperpolarized 13C/1H imaging reveals Warburg-related metabolic dysfunction and associated regional heterogeneity in high-grade human gliomas.
Trial Readiness of Cavernous Malformations With Symptomatic Hemorrhage, Part I: Event Rates and Clinical Outcome.
Trial Readiness of Cavernous Malformations With Symptomatic Hemorrhage, Part II: Biomarkers and Trial Modeling.
An Integrated Analysis of Clinical, Genomic, and Imaging Features Reveals Predictors of Neurocognitive Outcomes in a Longitudinal Cohort of Pediatric Cancer Survivors, Enriched with CNS Tumors (Rad ART Pro).
Assessment of higher-order singular value decomposition denoising methods on dynamic hyperpolarized [1-13C]pyruvate MRI data from patients with glioma.
Comparison of quantitative susceptibility mapping methods for iron-sensitive susceptibility imaging at 7T: An evaluation in healthy subjects and patients with Huntington's disease.
Comparison of quantitative susceptibility mapping methods on evaluating radiation-induced cerebral microbleeds and basal ganglia at 3T and 7T.
Functional network alterations in young brain tumor patients with radiotherapy-induced memory impairments and vascular injury.
Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning.
Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.
Longitudinal MR spectroscopy to detect progression in patients with lower-grade glioma in the surveillance phase.
7-T Magnetic Resonance Imaging in the Management of Brain Tumors.
Baseline Characteristics of Patients With Cavernous Angiomas With Symptomatic Hemorrhage in Multisite Trial Readiness Project.
Relationship between 7T MR-angiography features of vascular injury and cognitive decline in young brain tumor patients treated with radiation therapy.
A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection Thickness.
Centrally Reduced Diffusion Sign for Differentiation between Treatment-Related Lesions and Glioma Progression: A Validation Study.
Characterization of serial hyperpolarized 13C metabolic imaging in patients with glioma.
Diffusion MRI as an early marker of response to immune checkpoint inhibitors.
Longitudinal outcomes of cochlear implantation and bimodal hearing in a large group of adults: A multicenter clinical study.
Pilot Study of Hyperpolarized 13C Metabolic Imaging in Pediatric Patients with Diffuse Intrinsic Pontine Glioma and Other CNS Cancers.
Rate of radiation-induced microbleed formation on 7T MRI relates to cognitive impairment in young patients treated with radiation therapy for a brain tumor.
Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas.
Simultaneous multi-slice spin- and gradient-echo dynamic susceptibility-contrast perfusion-weighted MRI of gliomas.
Correlation of Tumor Perfusion Between Carbon-13 Imaging with Hyperpolarized Pyruvate and Dynamic Susceptibility Contrast MRI in Pre-Clinical Model of Glioblastoma.
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.
Risk factors of radiotherapy-induced cerebral microbleeds and serial analysis of their size compared with white matter changes: A 7T MRI study in 113 adult patients with brain tumors.
Technical Note: Simultaneous segmentation and relaxometry for MRI through multitask learning.
Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network.
Treatment-induced lesions in newly diagnosed glioblastoma patients undergoing chemoradiotherapy and heat-shock protein vaccine therapy.
A comparison of coil combination strategies in 3D multi-channel MRSI reconstruction for patients with brain tumors.
A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning.
Machine Learning in Neurooncology Imaging: From Study Request to Diagnosis and Treatment.
Automated algorithm for counting microbleeds in patients with familial cerebral cavernous malformations.
Characterization of Metabolic, Diffusion, and Perfusion Properties in GBM: Contrast-Enhancing versus Non-Enhancing Tumor.
Identifying Voxels at Risk for Progression in Glioblastoma Based on Dosimetry, Physiologic and Metabolic MRI.
Probing the phosphatidylinositol 3-kinase/mammalian target of rapamycin pathway in gliomas: A phase 2 study of everolimus for recurrent adult low-grade gliomas.
Relationship between radiation dose and microbleed formation in patients with malignant glioma.
Investigating tumor perfusion by hyperpolarized 13 C MRI with comparison to conventional gadolinium contrast-enhanced MRI and pathology in orthotopic human GBM xenografts.
Magnetic resonance analysis of malignant transformation in recurrent glioma.
Presence of cerebral microbleeds is associated with worse executive function in pediatric brain tumor survivors.
Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab.
Association of Diffusion and Anatomic Imaging Parameters with Survival for Patients with Newly Diagnosed Glioblastoma Participating in Two Different Clinical Trials.
Clinically feasible NODDI characterization of glioma using multiband EPI at 7 T.
Magnetic Resonance (MR) Metabolic Imaging in Glioma.
The effects of anti-angiogenic therapy on the formation of radiation-induced microbleeds in normal brain tissue of patients with glioma.
Advanced magnetic resonance imaging methods for planning and monitoring radiation therapy in patients with high-grade glioma.
Comparison of ADC metrics and their association with outcome for patients with newly diagnosed glioblastoma being treated with radiation therapy, temozolomide, erlotinib and bevacizumab.
Hyperpolarized [1-13C] glutamate: a metabolic imaging biomarker of IDH1 mutational status in glioma.
Quantitative 7T phase imaging in premanifest Huntington disease.
Short-echo three-dimensional H-1 MR spectroscopic imaging of patients with glioma at 7 Tesla for characterization of differences in metabolite levels.
Simultaneous imaging of radiation-induced cerebral microbleeds, arteries and veins, using a multiple gradient echo sequence at 7 Tesla.
Computer-aided detection of radiation-induced cerebral microbleeds on susceptibility-weighted MR images.
Survival analysis in patients with newly diagnosed glioblastoma using pre- and postradiotherapy MR spectroscopic imaging.
Susceptibility-weighted MR imaging of radiation therapy-induced cerebral microbleeds in patients with glioma: a comparison between 3T and 7T.
Using susceptibility-weighted imaging to determine response to combined anti-angiogenic, cytotoxic, and radiation therapy in patients with glioblastoma multiforme.
A serial in vivo 7T magnetic resonance phase imaging study of white matter lesions in multiple sclerosis.
Comparison of DSC-MRI post-processing techniques in predicting microvascular histopathology in patients newly diagnosed with GBM.
Performance of two commercially available automated immunoassays for the determination of Epstein-Barr virus serological status.
T1 and T2 Metabolite Relaxation Times in Normal Brain at 3T and 7T
7-Tesla susceptibility-weighted imaging to assess the effects of radiotherapy on normal-appearing brain in patients with glioma.
Advances in ultra-high field MRI for the clinical management of patients with brain tumors.
Serial analysis of imaging parameters in patients with newly diagnosed glioblastoma multiforme.
Assessment of perfusion MRI-derived parameters in evaluating and predicting response to antiangiogenic therapy in patients with newly diagnosed glioblastoma.
Multi-channel metabolic imaging, with SENSE reconstruction, of hyperpolarized [1-(13)C] pyruvate in a live rat at 3.0 tesla on a clinical MR scanner.
Analysis of hyperpolarized dynamic 13C lactate imaging in a transgenic mouse model of prostate cancer.
Multiparametric characterization of grade 2 glioma subtypes using magnetic resonance spectroscopic, perfusion, and diffusion imaging.
GRAPPA-based susceptibility-weighted imaging of normal volunteers and patients with brain tumor at 7 T.
Pulse sequence for dynamic volumetric imaging of hyperpolarized metabolic products.
Analysis of metabolic indices in regions of abnormal perfusion in patients with high-grade glioma.
Development of a robust method for generating 7.0 T multichannel phase images of the brain with application to normal volunteers and patients with neurological diseases.
Differentiation of glioblastoma multiforme and single brain metastasis by peak height and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.
Feasibility of dynamic susceptibility contrast perfusion MR imaging at 3T using a standard quadrature head coil and eight-channel phased-array coil with and without SENSE reconstruction.
Partially-parallel, susceptibility-weighted MR imaging of brain vasculature at 7 Tesla using sensitivity encoding and an autocalibrating parallel technique.
Dynamic susceptibility-weighted perfusion imaging of high-grade gliomas: characterization of spatial heterogeneity.