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Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI

Journal of magnetic resonance imaging, 2020-01, Vol.51 (1), p.175-182

2020

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Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol

BMC musculoskeletal disorders, 2023-01, Vol.24 (1), p.41-41, Article 41

2023

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Editorial for "MRI-Based Kinetic Heterogeneity Evaluation in the Accurate Access of Axillary Lymph Node Status in Breast Cancer Using a Hybrid CNN-RNN Model"

Journal of magnetic resonance imaging, 2024-01

Grøvik, Endre

2024

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Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study

NPJ digital medicine, 2021-02, Vol.4 (1), p.33-33, Article 33

2021

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2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data

Frontiers in neuroinformatics, 2023-01, Vol.16, p.1056068-1056068

2023

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Comparison of Intravoxel incoherent motion imaging and multiecho dynamic contrast‐based MRI in rectal cancer

Journal of magnetic resonance imaging, 2019-10, Vol.50 (4), p.1114-1124

2019

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Editorial for “Evaluating Upstaging in Ductal Carcinoma In Situ Using Preoperative MRI‐Based Radiomics”

Journal of magnetic resonance imaging, 2023-08, Vol.58 (2), p.464-465

2023

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Imaging the tumour microenvironment in rectal cancer: Decline in tumour blood flow during radiotherapy predicts good outcome

Physics and imaging in radiation oncology, 2023-01, Vol.25, p.100417-100417, Article 100417

2023

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Editorial for “Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist”

Journal of magnetic resonance imaging, 2022-10, Vol.56 (4), p.1077-1078

2022

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Brain metastases with poor vascular function are susceptible to pseudoprogression after stereotactic radiation surgery

Advances in radiation oncology, 2018-10, Vol.3 (4), p.559-567

2018

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Responses in the diffusivity and vascular function of the irradiated normal brain are seen up until 18 months following SRS of brain metastases

Neuro-oncology advances, 2020-01, Vol.2 (1), p.vdaa028

2020

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MRI pulse sequence integration for deep‐learning‐based brain metastases segmentation

Medical physics (Lancaster), 2021-10, Vol.48 (10), p.6020-6035

2021

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Sex Differences and Tumor Blood Flow from Dynamic Susceptibility Contrast MRI Are Associated with Treatment Response after Chemoradiation and Long-term Survival in Rectal Cancer

Radiology, 2020-11, Vol.297 (2), p.352-360

2020

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Noise dependency in vascular parameters from combined gradient-echo and spin-echo DSC MRI

Physics in medicine & biology, 2020-11, Vol.65 (22), p.225020-225020

2020

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Erratum: “MRI pulse sequence integration for deep‐learning‐based brain metastases segmentation”

Medical physics (Lancaster), 2023-08, Vol.50 (8), p.5294-5294

2023

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Single bolus split dynamic MRI: Is the combination of high spatial and dual-echo high temporal resolution interleaved sequences useful in the differential diagnosis of breast masses?

Journal of magnetic resonance imaging, 2015-07, Vol.42 (1), p.180-187

2015

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Split dynamic MRI: Single bolus high spatial-temporal resolution and multi contrast evaluation of breast lesions

Journal of magnetic resonance imaging, 2014-03, Vol.39 (3), p.673-682

2014

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Dynamic multi-echo DCE- and DSC-MRI in rectal cancer: Low primary tumor K trans and ΔR2 peak are significantly associated with lymph node metastasis: DCE- and DSC-MRI of Rectal Cancer

Journal of magnetic resonance imaging, 2017-07, Vol.46 (1), p.194-206

2017

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Single bolus split dynamic MRI: Is the combination of high spatial and dual-echo high temporal resolution interleaved sequences useful in the differential diagnosis of breast masses?: Single Bolus Split Dynamic MRI

Journal of magnetic resonance imaging, 2015-07, Vol.42 (1), p.180-187

2015

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Dynamic multi‐echo DCE‐ and DSC‐MRI in rectal cancer: Low primary tumor Ktrans and ΔR2 peak are significantly associated with lymph node metastasis

Journal of magnetic resonance imaging, 2017-07, Vol.46 (1), p.194-206

2017

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Abstract 5269: Imaging the tumor microenvironment in rectal cancer: Decline in tumor blood flow (BF) during neoadjuvant treatment predicts excellent outcome

Cancer research (Chicago, Ill.), 2022-06, Vol.82 (12_Supplement), p.5269-5269

2022

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Dynamic multi-echo DCE- and DSC-MRI in rectal cancer: Low primary tumor K trans and ΔR2 peak are significantly associated with lymph node metastasis

Journal of magnetic resonance imaging, 2017-07, Vol.46 (1), p.194

2017

Volltextzugriff (PDF)

Dynamic multi-echo DCE- and DSC-MRI in rectal cancer: Low primary tumor Ktrans and [Delta] R 2 peak are significantly associated with lymph node metastasis

Journal of magnetic resonance imaging, 2017-07, Vol.46 (1), p.194

2017

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CNS Machine Learning

Functional Neuroradiology, p.1347-1375

Volltextzugriff (PDF)

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Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI

Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol

Editorial for "MRI-Based Kinetic Heterogeneity Evaluation in the Accurate Access of Axillary Lymph Node Status in Breast Cancer Using a Hybrid CNN-RNN Model"

Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study

2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data

Comparison of Intravoxel incoherent motion imaging and multiecho dynamic contrast‐based MRI in rectal cancer

Editorial for “Evaluating Upstaging in Ductal Carcinoma In Situ Using Preoperative MRI‐Based Radiomics”

Imaging the tumour microenvironment in rectal cancer: Decline in tumour blood flow during radiotherapy predicts good outcome

Editorial for “Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist”

Brain metastases with poor vascular function are susceptible to pseudoprogression after stereotactic radiation surgery

Responses in the diffusivity and vascular function of the irradiated normal brain are seen up until 18 months following SRS of brain metastases

MRI pulse sequence integration for deep‐learning‐based brain metastases segmentation

Sex Differences and Tumor Blood Flow from Dynamic Susceptibility Contrast MRI Are Associated with Treatment Response after Chemoradiation and Long-term Survival in Rectal Cancer

Noise dependency in vascular parameters from combined gradient-echo and spin-echo DSC MRI

Erratum: “MRI pulse sequence integration for deep‐learning‐based brain metastases segmentation”

Single bolus split dynamic MRI: Is the combination of high spatial and dual-echo high temporal resolution interleaved sequences useful in the differential diagnosis of breast masses?

Split dynamic MRI: Single bolus high spatial-temporal resolution and multi contrast evaluation of breast lesions

Dynamic multi-echo DCE- and DSC-MRI in rectal cancer: Low primary tumor K trans and ΔR2 peak are significantly associated with lymph node metastasis: DCE- and DSC-MRI of Rectal Cancer

Single bolus split dynamic MRI: Is the combination of high spatial and dual-echo high temporal resolution interleaved sequences useful in the differential diagnosis of breast masses?: Single Bolus Split Dynamic MRI

Dynamic multi‐echo DCE‐ and DSC‐MRI in rectal cancer: Low primary tumor Ktrans and ΔR2 peak are significantly associated with lymph node metastasis

Abstract 5269: Imaging the tumor microenvironment in rectal cancer: Decline in tumor blood flow (BF) during neoadjuvant treatment predicts excellent outcome

Dynamic multi-echo DCE- and DSC-MRI in rectal cancer: Low primary tumor K trans and ΔR2 peak are significantly associated with lymph node metastasis

Dynamic multi-echo DCE- and DSC-MRI in rectal cancer: Low primary tumor Ktrans and [Delta] R 2 peak are significantly associated with lymph node metastasis

CNS Machine Learning

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