Maria Correia de Verdier

The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset

Labella, Dominic; Schumacher, Katherine; Mix, Michael; Leu, Kevin et al.

Ingår i Scientific Data, 2026

• DOI för The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset
• Ladda ner fulltext (pdf) av The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset

The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset

Labella, Dominic; Schumacher, Katherine; Mix, Michael; Leu, Kevin et al.

Ingår i Scientific Data, 2026

• DOI för The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset
• Ladda ner fulltext (pdf) av The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset

The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI Dataset

Gagnon, Louis; Gupta, Diviya; Nguyen, Uyen; Correia de Verdier, Maria et al.

Ingår i Scientific Data, 2026

• DOI för The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI Dataset
• Ladda ner fulltext (pdf) av The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI Dataset

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

LaBella, Dominic; Baid, Ujjwal; Khanna, Omaditya; McBurney-Lin, Shan et al.

Ingår i Melba: The journal of machine learning for biomedical imaging, s. 38-58, 2025

• DOI för Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
• Ladda ner fulltext (pdf) av Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

The brain tumor segmentation (BraTS-METS) challenge 2023: Brain metastasis segmentation on pre-treatment MRI

Moawad, Ahmed W.; Janas, Anastasia; Baid, Ujjwal; Ramakrishnan, Divya et al.

Ingår i Melba: The journal of machine learning for biomedical imaging, s. 204-247, 2025

• DOI för The brain tumor segmentation (BraTS-METS) challenge 2023: Brain metastasis segmentation on pre-treatment MRI
• Ladda ner fulltext (pdf) av The brain tumor segmentation (BraTS-METS) challenge 2023: Brain metastasis segmentation on pre-treatment MRI

The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset

Labella, Dominic; Schumacher, Katherine; Mix, Michael; Leu, Kevin et al.

Ingår i Scientific Data, 2026

• DOI för The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset
• Ladda ner fulltext (pdf) av The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset

The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset

Labella, Dominic; Schumacher, Katherine; Mix, Michael; Leu, Kevin et al.

Ingår i Scientific Data, 2026

• DOI för The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset
• Ladda ner fulltext (pdf) av The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset

The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI Dataset

Gagnon, Louis; Gupta, Diviya; Nguyen, Uyen; Correia de Verdier, Maria et al.

Ingår i Scientific Data, 2026

• DOI för The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI Dataset
• Ladda ner fulltext (pdf) av The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI Dataset

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

LaBella, Dominic; Baid, Ujjwal; Khanna, Omaditya; McBurney-Lin, Shan et al.

Ingår i Melba: The journal of machine learning for biomedical imaging, s. 38-58, 2025

• DOI för Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
• Ladda ner fulltext (pdf) av Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

The brain tumor segmentation (BraTS-METS) challenge 2023: Brain metastasis segmentation on pre-treatment MRI

Moawad, Ahmed W.; Janas, Anastasia; Baid, Ujjwal; Ramakrishnan, Divya et al.

Ingår i Melba: The journal of machine learning for biomedical imaging, s. 204-247, 2025

• DOI för The brain tumor segmentation (BraTS-METS) challenge 2023: Brain metastasis segmentation on pre-treatment MRI
• Ladda ner fulltext (pdf) av The brain tumor segmentation (BraTS-METS) challenge 2023: Brain metastasis segmentation on pre-treatment MRI

Advancing Pediatric Neuro-Oncology: Multi-institutional nnU-Net Segmentation of Medulloblastoma

Rudie, Jeffrey D; Correia de Verdier, Maria

Ingår i Radiology: Artificial Intelligence, 2024

• DOI för Advancing Pediatric Neuro-Oncology: Multi-institutional nnU-Net Segmentation of Medulloblastoma

Effect of MRI acquisition parameters on accuracy and precision of phase-contrast measurements in a small-lumen vessel phantom

Correia de Verdier, Maria; Berglund, Johan; Wikström, Johan

Ingår i European Radiology Experimental, 2024

• DOI för Effect of MRI acquisition parameters on accuracy and precision of phase-contrast measurements in a small-lumen vessel phantom
• Ladda ner fulltext (pdf) av Effect of MRI acquisition parameters on accuracy and precision of phase-contrast measurements in a small-lumen vessel phantom

Hemodynamic evaluation of intracranial arteriovenous malformations: Pre- and post-treatment 2D phase-contrast MRI measurements

Correia de Verdier, Maria; Ronne-Engström, Elisabeth; Borota, Ljubisa; Wikström, Johan

Ingår i Acta Radiologica Open, 2024

• DOI för Hemodynamic evaluation of intracranial arteriovenous malformations: Pre- and post-treatment 2D phase-contrast MRI measurements
• Ladda ner fulltext (pdf) av Hemodynamic evaluation of intracranial arteriovenous malformations: Pre- and post-treatment 2D phase-contrast MRI measurements

Magnetic resonance imaging detected radiation-induced changes in patients with proton radiation-treated arteriovenous malformations

Correia de Verdier, Maria; Ronne-Engström, Elisabeth; Borota, Ljubisa; Nilsson, Kristina et al.

Ingår i Acta Radiologica Open, 2021

• DOI för Magnetic resonance imaging detected radiation-induced changes in patients with proton radiation-treated arteriovenous malformations
• Ladda ner fulltext (pdf) av Magnetic resonance imaging detected radiation-induced changes in patients with proton radiation-treated arteriovenous malformations

Response to Letter to the Editor: "Reproducibility of flow and velocity parameters in intracranial arteries measured with phase-contrast magnetic resonance imaging; a methodological issue"

Correia de Verdier, Maria; Wikström, Johan

Ingår i Neuroradiology, s. 951-951, 2016

• DOI för Response to Letter to the Editor: "Reproducibility of flow and velocity parameters in intracranial arteries measured with phase-contrast magnetic resonance imaging; a methodological issue"

Normal ranges and test-retest reproducibility of flow and velocity parameters in intracranial arteries measured with phase-contrast magnetic resonance imaging

Correia de Verdier, Maria; Wikström, Johan

Ingår i Neuroradiology, s. 521-531, 2016

• DOI för Normal ranges and test-retest reproducibility of flow and velocity parameters in intracranial arteries measured with phase-contrast magnetic resonance imaging

Evaluation of Intracranial Arteriovenous Malformations with Magnetic Resonance Imaging

Correia de Verdier, Maria

2022

• Ladda ner fulltext (pdf) av Evaluation of Intracranial Arteriovenous Malformations with Magnetic Resonance Imaging

Flow and velocity in intracranial arteries of patients with arteriovenous malformations measured with phase-contrast magnetic resonance imaging

Correia de Verdier, Maria; Ronne-Engström, Elisabeth; Borota, Ljubisa; Wikström, Johan