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Vision 20/20: Perspectives on automated image segmentation for radiotherapy

Medical physics (Lancaster), 2014-05, Vol.41 (5), p.050902-n/a

2014

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The role of computational methods for automating and improving clinical target volume definition

Radiotherapy and oncology, 2020-12, Vol.153, p.15-25

2020

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Neural network based ensemble model to predict radiation induced lymphopenia after concurrent chemo-radiotherapy for non-small cell lung cancer from two institutions

Neoplasia (New York, N.Y.), 2023-05, Vol.39, p.100889-100889, Article 100889

2023

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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

1st Edition 2021, 2021

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Perspectives on the model-based approach to proton therapy trials: A retrospective study of a lung cancer randomized trial

Radiotherapy and oncology, 2020-06, Vol.147, p.8-14

2020

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Consistency of muscle fibers directionality in human thigh derived from diffusion-weighted MRI

Physics in medicine & biology, 2023-09, Vol.68 (17), p.175045

2023

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In Reply to Saraiya et al

International journal of radiation oncology, biology, physics, 2014-11, Vol.90 (4), p.969-970

2014

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Inter-subject cerebrovascular variability: a source of uncertainty for dose calculation to circulating blood cells for glioblastoma patients treated with modern radiotherapy techniques

Physics in medicine & biology, 2024-08, Vol.69 (17), p.175010

2024

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Probabilistic definition of the clinical target volume-implications for tumor control probability modeling and optimization

Physics in medicine & biology, 2021-01, Vol.66 (1), p.01NT01-01NT01

2021

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Exploring trade‐offs in treatment planning for brain tumor cases with a probabilistic definition of the clinical target volume

Medical physics (Lancaster), 2023-01, Vol.50 (1), p.410-423

2023

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Automated delineation of the clinical target volume using anatomically constrained 3D expansion of the gross tumor volume

Radiotherapy and oncology, 2020-05, Vol.146, p.37-43

2020

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Recurrence analysis of glioblastoma cases based on distance and dose information

Radiotherapy and oncology, 2023-06, Vol.183, p.109600-109600, Article 109600

2023

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The clinical target distribution: a probabilistic alternative to the clinical target volume

Physics in medicine & biology, 2018-07, Vol.63 (15), p.155001-155001

2018

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Feasibility study of clinical target volume definition for soft-tissue sarcoma using muscle fiber orientations derived from diffusion tensor imaging

Physics in medicine & biology, 2022-07, Vol.67 (15), p.155013

2022

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Accounting for uncertainties in the position of anatomical barriers used to define the clinical target volume

Physics in medicine & biology, 2021-08, Vol.66 (15), p.15

2021

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Automated Segmentation of Sacral Chordoma and Surrounding Muscles Using Deep Learning Ensemble

International journal of radiation oncology, biology, physics, 2023-11, Vol.117 (3), p.738-749

2023

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Correlation of (18)F-FDG avid volumes on pre-radiation therapy and post-radiation therapy FDG PET scans in recurrent lung cancer

International journal of radiation oncology, biology, physics, 2014-05, Vol.89 (1), p.137

2014

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Differences in lung injury after IMRT or proton therapy assessed by 18FDG PET imaging

Radiotherapy and oncology, 2018-07, Vol.128 (1), p.147-153

2018

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Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas

Radiotherapy and oncology, 2022-02, Vol.167, p.269-276

2022

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Cascade UNet and CH-UNet for Thyroid Nodule Segmentation and Benign and Malignant Classification

Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, p.129-134

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SVM based Radiomics Analysis using Pre-radiotherapy PET/CT Increases the Prediction Accuracy of Radiation Pneumonitis

The Journal of nuclear medicine (1978), 2017-05, Vol.58, p.501

2017

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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings

Volltextzugriff (PDF)

Correlation of 18F-FDG Avid Volumes on Pre–Radiation Therapy and Post–Radiation Therapy FDG PET Scans in Recurrent Lung Cancer

International journal of radiation oncology, biology, physics, 2014-05, Vol.89 (1), p.137-144

2014

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Correlation of super(18)F-FDG Avid Volumes on Pre-Radiation Therapy and Post-Radiation Therapy FDG PET Scans in Recurrent Lung Cancer

International journal of radiation oncology, biology, physics, 2014-05, Vol.89 (1), p.137-144

2014

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Automatic Segmentation and Classification of Thyroid Nodules in Ultrasound Images with Convolutional Neural Networks

Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, p.109-115

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Vision 20/20: Perspectives on automated image segmentation for radiotherapy

The role of computational methods for automating and improving clinical target volume definition

Neural network based ensemble model to predict radiation induced lymphopenia after concurrent chemo-radiotherapy for non-small cell lung cancer from two institutions

Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

Perspectives on the model-based approach to proton therapy trials: A retrospective study of a lung cancer randomized trial

Consistency of muscle fibers directionality in human thigh derived from diffusion-weighted MRI

In Reply to Saraiya et al

Inter-subject cerebrovascular variability: a source of uncertainty for dose calculation to circulating blood cells for glioblastoma patients treated with modern radiotherapy techniques

Probabilistic definition of the clinical target volume-implications for tumor control probability modeling and optimization

Exploring trade‐offs in treatment planning for brain tumor cases with a probabilistic definition of the clinical target volume

Automated delineation of the clinical target volume using anatomically constrained 3D expansion of the gross tumor volume

Recurrence analysis of glioblastoma cases based on distance and dose information

The clinical target distribution: a probabilistic alternative to the clinical target volume

Feasibility study of clinical target volume definition for soft-tissue sarcoma using muscle fiber orientations derived from diffusion tensor imaging

Accounting for uncertainties in the position of anatomical barriers used to define the clinical target volume

Automated Segmentation of Sacral Chordoma and Surrounding Muscles Using Deep Learning Ensemble

Correlation of (18)F-FDG avid volumes on pre-radiation therapy and post-radiation therapy FDG PET scans in recurrent lung cancer

Differences in lung injury after IMRT or proton therapy assessed by 18FDG PET imaging

Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas

Cascade UNet and CH-UNet for Thyroid Nodule Segmentation and Benign and Malignant Classification

SVM based Radiomics Analysis using Pre-radiotherapy PET/CT Increases the Prediction Accuracy of Radiation Pneumonitis

Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings

Correlation of 18F-FDG Avid Volumes on Pre–Radiation Therapy and Post–Radiation Therapy FDG PET Scans in Recurrent Lung Cancer

Correlation of super(18)F-FDG Avid Volumes on Pre-Radiation Therapy and Post-Radiation Therapy FDG PET Scans in Recurrent Lung Cancer

Automatic Segmentation and Classification of Thyroid Nodules in Ultrasound Images with Convolutional Neural Networks

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