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  1. No Access

    Article

    Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization

    Reliable and trustworthy artificial intelligence (AI), particularly in high-stake medical diagnoses, necessitates effective uncertainty quantification (UQ). Existing UQ methods using model ensembles often intr...

    Joseph N. Stember, Katharine Dishner in Journal of Imaging Informatics in Medicine (2024)

  2. No Access

    Article

    Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI

    While fully supervised learning can yield high-performing segmentation models, the effort required to manually segment large training sets limits practical utility. We investigate whether data mined line annot...

    Nathaniel C. Swinburne, Vivek Yadav, Krishna Nand Keshava Murthy in European Radiology (2023)

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    Article

    Prognostic value of [18F]FDG PET/CT in patients with CNS lymphoma receiving ibrutinib-based therapies

    Current clinical and imaging tools remain suboptimal for predicting treatment response and prognosis in CNS lymphomas. We investigated the prognostic value of baseline [18F]FDG PET in patients with CNS lymphoma r...

    Simone Krebs, Audrey Mauguen, Onur Yildirim in European Journal of Nuclear Medicine and M… (2021)

  4. Article

    Open Access

    18F-FDG PET/CT versus anatomic imaging for evaluating disease extent and clinical trial eligibility in Erdheim-Chester disease: results from 50 patients in a registry study

    The aim of this study was to [1] characterize distribution of Erdheim-Chester Disease (ECD) by 18F-FDG PET/CT and [2] determine the utility of metabolic (18F-FDG PET/CT) imaging versus anatomic imaging (CT or MRI...

    Julian Kirchner, Vaios Hatzoglou in European Journal of Nuclear Medicine and M… (2021)

  5. No Access

    Article

    Pretreatment dynamic contrast-enhanced MRI biomarkers correlate with progression-free survival in primary central nervous system lymphoma

    Prediction of clinical outcomes in patients with primary central nervous system lymphoma (PCNSL) is important for optimization of treatment planning. Quantitative imaging biomarkers for PCNSL have not yet been...

    Vaios Hatzoglou, Jung Hun Oh, Olivia Buck, Xuling Lin in Journal of Neuro-Oncology (2018)

  6. Article

    Open Access

    Diffuse reduction of cerebral grey matter volumes in Erdheim-Chester disease

    Erdheim-Chester disease (ECD) is a rare non-Langerhans histiocytosis characterized by systemic inflammation and granulomatous infiltration of multiple organs including the central nervous system (CNS), bones, ...

    Eli L. Diamond, Vaios Hatzoglou, Sneha Patel in Orphanet Journal of Rare Diseases (2016)

  7. No Access

    Article

    Post-treatment T1 shortening in primary CNS lymphoma

    The incidence of primary central nervous system lymphoma (PCNSL) has increased over the past two decades. The MR imaging appearance of PCNSL plays a central role in the initial diagnosis, management and follow...

    Sasan Karimi, Vaios Hatzoglou, Vineet Punia, Sasan Partovi in Journal of Neuro-Oncology (2013)