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Automated hippocampal segmentation algorithms evaluated in stroke patients

Scientific reports, 2023-07, Vol.13 (1), p.11712-11712, Article 11712

2023

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Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke

Nature communications, 2023-08, Vol.14 (1), p.4938-4938, Article 4938

2023

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PerSurge (NOA-30) phase II trial of perampanel treatment around surgery in patients with progressive glioblastoma

BMC cancer, 2024-01, Vol.24 (1), p.135-135, Article 135

2024

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Research Highlight: Use of Generative Images Created with Artificial Intelligence for Brain Tumor Imaging

Korean Journal of Radiology, 2022, 23(5), , pp.500-504

2022

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Automatic Planning Tools for Lumbar Pedicle Screws: Comparison and Validation of Planning Accuracy for Self-Derived Deep-Learning-Based and Commercial Atlas-Based Approaches

Journal of clinical medicine, 2023-04, Vol.12 (7), p.2646

2023

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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"

Stroke (1970), 2021-02, Vol.52 (2), p.e85-e86

2021

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nnU-Net for Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.118-132

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Impact of signal intensity normalization of MRI on the generalizability of radiomic-based prediction of molecular glioma subtypes

European radiology, 2024-04, Vol.34 (4), p.2782-2790

2024

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The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 1—Key Points of the Fifth Edition and Summary of Imaging Findings on Adult‐Type Diffuse Gliomas

Journal of magnetic resonance imaging, 2023-09, Vol.58 (3), p.677-689

2023

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Multimodal Predictive Modeling of Endovascular Treatment Outcome for Acute Ischemic Stroke Using Machine-Learning

Stroke (1970), 2020-12, Vol.51 (12), p.3541-3551

2020

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The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 2—Summary of Imaging Findings on Pediatric‐Type Diffuse High‐Grade Gliomas, Pediatric‐Type Diffuse Low‐Grade Gliomas, and Circumscribed Astrocytic Gliomas

Journal of magnetic resonance imaging, 2023-09, Vol.58 (3), p.690-708

2023

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Cluster-based prognostication in glioblastoma: Unveiling heterogeneity based on diffusion and perfusion similarities

Neuro-oncology (Charlottesville, Va.), 2024-06, Vol.26 (6), p.1099-1108

2024

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Radiomics in neuro-oncological clinical trials

The Lancet. Digital health, 2022-11, Vol.4 (11), p.e841-e849

2022

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Research Highlight: Use of Generative Images Created with Artificial Intelligence for Brain Tumor Imaging

Korean journal of radiology, 2022, Vol.23 (5), p.500-504

2022

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Shape matters: unsupervised exploration of IDH-wildtype glioma imaging survival predictors

European radiology, 2024-09

2024

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Hypothalamic subregion alterations in anorexia nervosa and obesity: Association with appetite‐regulating hormone levels

The International journal of eating disorders, 2024-03, Vol.57 (3), p.581-592

2024

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Cerebrospinal Fluid cfDNA Sequencing for Classification of Central Nervous System Glioma

Clinical cancer research, 2024-07, p.OF1-OF12

2024

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Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study

Neuro-oncology (Charlottesville, Va.), 2023-03, Vol.25 (3), p.533-543

2023

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The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 3—Summary of Imaging Findings on Glioneuronal and Neuronal Tumors

Journal of magnetic resonance imaging, 2023-12, Vol.58 (6), p.1680-1702

2023

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Development and validation of an automated planning tool for navigated lumbosacral pedicle screws using a convolutional neural network

The spine journal, 2022-10, Vol.22 (10), p.1666-1676

2022

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Diagnostic biomarkers from proteomic characterization of cerebrospinal fluid in patients with brain malignancies

Journal of neurochemistry, 2021-07, Vol.158 (2), p.522-538

2021

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T cell-independent eradication of experimental glioma by intravenous TLR7/8-agonist-loaded nanoparticles

Nature communications, 2023-02, Vol.14 (1), p.771-771, Article 771

2023

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Challenges, limitations, and pitfalls of PET and advanced MRI in patients with brain tumors: A report of the PET/RANO group

Neuro-oncology (Charlottesville, Va.), 2024-07, Vol.26 (7), p.1181-1194

2024

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Automated hippocampal segmentation algorithms evaluated in stroke patients

Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke

PerSurge (NOA-30) phase II trial of perampanel treatment around surgery in patients with progressive glioblastoma

Research Highlight: Use of Generative Images Created with Artificial Intelligence for Brain Tumor Imaging

Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study

Automatic Planning Tools for Lumbar Pedicle Screws: Comparison and Validation of Planning Accuracy for Self-Derived Deep-Learning-Based and Commercial Atlas-Based Approaches

Response by Brugnara et al Regarding Article, "The Sense or Futility of Outcome Prediction in Acute Stroke for Endovascular Treatment Decision-Making"

nnU-Net for Brain Tumor Segmentation

Impact of signal intensity normalization of MRI on the generalizability of radiomic-based prediction of molecular glioma subtypes

The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 1—Key Points of the Fifth Edition and Summary of Imaging Findings on Adult‐Type Diffuse Gliomas

Multimodal Predictive Modeling of Endovascular Treatment Outcome for Acute Ischemic Stroke Using Machine-Learning

The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 2—Summary of Imaging Findings on Pediatric‐Type Diffuse High‐Grade Gliomas, Pediatric‐Type Diffuse Low‐Grade Gliomas, and Circumscribed Astrocytic Gliomas

Cluster-based prognostication in glioblastoma: Unveiling heterogeneity based on diffusion and perfusion similarities

Radiomics in neuro-oncological clinical trials

Research Highlight: Use of Generative Images Created with Artificial Intelligence for Brain Tumor Imaging

Shape matters: unsupervised exploration of IDH-wildtype glioma imaging survival predictors

Hypothalamic subregion alterations in anorexia nervosa and obesity: Association with appetite‐regulating hormone levels

Cerebrospinal Fluid cfDNA Sequencing for Classification of Central Nervous System Glioma

Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study

The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 3—Summary of Imaging Findings on Glioneuronal and Neuronal Tumors

Development and validation of an automated planning tool for navigated lumbosacral pedicle screws using a convolutional neural network

Incorporating Supramaximal Resection into Survival Stratification of IDH-wildtype Glioblastoma: A Refined Multi-institutional Recursive Partitioning Analysis

Diagnostic biomarkers from proteomic characterization of cerebrospinal fluid in patients with brain malignancies

T cell-independent eradication of experimental glioma by intravenous TLR7/8-agonist-loaded nanoparticles

Challenges, limitations, and pitfalls of PET and advanced MRI in patients with brain tumors: A report of the PET/RANO group

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