2020-01-03
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Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis
published
| article-journal
doi:10.1007/s00330-019-06593-y
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2020-02-21
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Impact of slice thickness on clinical utility of automated Alberta Stroke Program Early Computed Tomography Scores
published
| article-journal
doi:10.1007/s00330-019-06616-8
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2020-07-28
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Noninvasive Characterization of Tumor Angiogenesis and Oxygenation in Bevacizumab-treated Recurrent Glioblastoma by Using Dynamic Susceptibility MRI: Secondary Analysis of the European Organization for Research and Treatment of Cancer 26101 Trial
published
| article-journal
doi:10.1148/radiol.2020200978
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2020-10-12
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Multimodal Predictive Modeling of Endovascular Treatment Outcome for Acute Ischemic Stroke Using Machine-Learning
published
| article-journal
doi:10.1161/strokeaha.120.030287
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2021-01-25
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Response by Brugnara et al Regarding Article, "The Sense or Futility of Outcome Prediction in Acute Stroke for Endovascular Treatment Decision-Making"
published
| article-journal
doi:10.1161/strokeaha.120.033453
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2021-06-09
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Trained model weights for "Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis"
published
| article
| v0.1
| CC-BY
doi:10.5281/zenodo.4915908
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2021-06-09
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Trained model weights for "Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis"
published
| article
| v0.1
| CC-BY
doi:10.5281/zenodo.4915907
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2022-08-26
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Trained model weights for "Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networks"
published
| article
| v1.0
| CC-BY
doi:10.5281/zenodo.7024600
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2022-08-26
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Trained model weights for "Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networks"
published
| article
| v1.0
| CC-BY
doi:10.5281/zenodo.7024601
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2023-01-26
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Author Correction: Federated learning enables big data for rare cancer boundary detection
published
| article-journal
| CC-BY
doi:10.1038/s41467-023-36188-7
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2019-08-12
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Automated brain extraction of multisequence MRI using artificial neural networks
published
| article-journal
doi:10.1002/hbm.24750
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2023-09-06
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Impact of signal intensity normalization of MRI on the generalizability of radiomic-based prediction of molecular glioma subtypes
published
| article-journal
doi:10.1007/s00330-023-10034-2
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2024-06-28
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Unraveling Glioblastoma Diversity: Insights into Methylation Subtypes and Spatial Relationships
published
| article-journal
doi:10.1093/noajnl/vdae112
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2024-10-16
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Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation Classification Tasks in Multiple Sclerosis
published
| article-journal
doi:10.1148/ryai.230514
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2025-03-20
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Histopathological and molecular characteristics of IDH-wildtype glioblastoma without contrast enhancement: implications for clinical outcomes
published
| article-journal
doi:10.1093/neuonc/noaf070
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2020-07-27
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Radiomics and Deep Learning from Research to Clinical Workflow: Neuro-Oncologic Imaging
published
| article-journal
doi:10.3348/kjr.2019.0847
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2022-12-05
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Federated learning enables big data for rare cancer boundary detection
published
| article-journal
doi:10.1038/s41467-022-33407-5
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2023-02-11
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T cell-independent eradication of experimental glioma by intravenous TLR7/8-agonist-loaded nanoparticles
published
| article-journal
doi:10.1038/s41467-023-36321-6
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2023-08-15
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Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke
published
| article-journal
doi:10.1038/s41467-023-40564-8
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2024-01-01
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Deep Learning–based Identification of Brain MRI Sequences Using a Model Trained on Large Multicentric Study Cohorts
published
| article-journal
doi:10.1148/ryai.230095
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2024-03-22
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Advancing non-invasive glioma classification with diffusion radiomics: Exploring the impact of signal intensity normalization
published
| article-journal
doi:10.1093/noajnl/vdae043
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2024-01-31
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Cerebrospinal fluid cfDNA sequencing for classification of central nervous system glioma
published
| article-journal
doi:10.1158/1078-0432.ccr-23-2907
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2024-12-09
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Leptomeningeal metastatic disease: new frontiers and future directions
published
| article-journal
doi:10.1038/s41571-024-00970-3
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2025-01-10
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A Radiologist's Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part II–Essential Information on Post-Treatment Imaging
published
| article-journal
doi:10.3348/kjr.2024.0983
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2021-03-24
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Dynamics of cerebral perfusion and oxygenation parameters following endovascular treatment of acute ischemic stroke
published
| article-journal
doi:10.1136/neurintsurg-2020-017163
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2022-04-04
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Research Highlight: Use of Generative Images Created with Artificial Intelligence for Brain Tumor Imaging
published
| article-journal
doi:10.3348/kjr.2022.0033
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2022-08-23
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Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networks
published
| article-journal
doi:10.1093/noajnl/vdac138
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2022-08-02
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AI-based decision support improves reproducibility of tumor response assessment in neuro-oncology: an international multi-reader study
published
| article-journal
doi:10.1093/neuonc/noac189
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2024-01-19
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Hypothalamic subregion alterations in anorexia nervosa and obesity: Association with appetite-regulating hormone levels
published
| article-journal
doi:10.1002/eat.24137
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2024-06-03
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Incorporating Supramaximal Resection into Survival Stratification of IDH-Wildtype Glioblastoma: A Refined Multi-institutional Recursive Partitioning Analysis
published
| article-journal
doi:10.1158/1078-0432.ccr-23-3845
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2024
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Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
published
| chapter
doi:10.1007/978-3-031-72980-5_13
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2025
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A Radiologist's Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part I-Essential Information on Preoperative and Immediate Postoperative Imaging
published
| article-journal
doi:10.3348/kjr.2024.0982
|