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Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy

Physics in medicine & biology, 2018-09, Vol.63 (18), p.185001-185001

2018

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CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation

Physics in medicine & biology, 2019-11, Vol.64 (22), p.225004-225004

2019

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Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels

Magnetic resonance in medicine, 2020-04, Vol.83 (4), p.1429-1441

2020

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MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network

International journal of radiation oncology, biology, physics, 2018-11, Vol.102 (4), p.801-812

2018

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3284: AI for automation of contouring in brachytherapy

Radiotherapy and oncology, 2024-05, Vol.194, p.S8-S8

Maspero, Matteo

2024

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Optimal Conditions for Diapause Survival of Aprostocetus fukutai, an Egg Parasitoid for Biological Control of Anoplophora chinensis

Insects (Basel, Switzerland), 2021-06, Vol.12 (6), p.535

2021

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Evaluation of gold fiducial marker manual localisation for magnetic resonance-only prostate radiotherapy

Radiation oncology (London, England), 2018-06, Vol.13 (1), p.105-105, Article 105

2018

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Influence of eye movement on lens dose and optic nerve target coverage during craniospinal irradiation

Clinical and translational radiation oncology, 2021-11, Vol.31, p.28-33

2021

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Feasibility of magnetic resonance imaging-only rectum radiotherapy with a commercial synthetic computed tomography generation solution

Physics and imaging in radiation oncology, 2018-07, Vol.7, p.58-64

2018

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History of discoveries and management of the citrus longhorned beetle, Anoplophora chinensis, in Europe

Journal of pest science, 2019-01, Vol.92 (1), p.117-130

2019

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Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch‐based three‐dimensional convolutional neural network

Medical physics (Lancaster), 2019-09, Vol.46 (9), p.4095-4104

2019

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459: Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report

Radiotherapy and oncology, 2024-05, Vol.194, p.S3762-S3766

2024

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Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy

Physics in medicine & biology, 2020-08, Vol.65 (15), p.155015-155015

2020

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Accelerated respiratory-resolved 4D-MRI with separable spatio-temporal neural networks

Medical physics (Lancaster), 2023-09, Vol.50 (9), p.5331-5342

2023

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Prospects for the use of biological control agents against Anoplophora in Europe

Pest management science, 2015, Vol.71 (1), p.7-14

2015

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Dosimetric feasibility of direct post-operative MR-Linac-based stereotactic radiosurgery for resection cavities of brain metastases

Radiotherapy and oncology, 2023-02, Vol.179, p.109456, Article 109456

2023

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Feasibility of MR-only proton dose calculations for prostate cancer radiotherapy using a commercial pseudo-CT generation method

Physics in medicine & biology, 2017-11, Vol.62 (24), p.9159-9176

2017

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Deep‐learning‐based joint rigid and deformable contour propagation for magnetic resonance imaging‐guided prostate radiotherapy

Medical physics (Lancaster), 2024-04, Vol.51 (4), p.2367-2377

2024

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Quantification of confounding factors in MRI-based dose calculations as applied to prostate IMRT

Physics in medicine & biology, 2017-02, Vol.62 (3), p.948-965

2017

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Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report

Medical image analysis, 2024-10, Vol.97, p.103276, Article 103276

2024

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Prospects for the use of biological control agents against Anoplophora in Europe: Biological control agents against Anoplophora

Pest management science, 2015-01, Vol.71 (1), p.7-14

2015

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Evaluation of an automatic MR-based gold fiducial marker localisation method for MR-only prostate radiotherapy

Physics in medicine & biology, 2017-10, Vol.62 (20), p.7981-8002

2017

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The feasibility of semi-automatically generated red bone marrow segmentations based on MR-only for patients with gynecologic cancer

Radiotherapy and oncology, 2017-04, Vol.123 (1), p.164-168

2017

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[OA127] Cone-beam CT intensity correction for adaptive radiotherapy of the prostate using deep learning

Physica medica, 2018-08, Vol.52, p.48-48

2018

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Description of Aprostocetus anoplophorae n. sp. (Hymenoptera: Eulophidae), a new egg parasitoid of the invasive pest Anoplophora chinensis (Förster) (Coleoptera: Cerambycidae)

Annales de la Société entomologique de France, 2004, Vol.40 (3-4), p.227-233

2004

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Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy

CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation

Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels

MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network

3284: AI for automation of contouring in brachytherapy

Optimal Conditions for Diapause Survival of Aprostocetus fukutai, an Egg Parasitoid for Biological Control of Anoplophora chinensis

Evaluation of gold fiducial marker manual localisation for magnetic resonance-only prostate radiotherapy

Influence of eye movement on lens dose and optic nerve target coverage during craniospinal irradiation

Feasibility of magnetic resonance imaging-only rectum radiotherapy with a commercial synthetic computed tomography generation solution

History of discoveries and management of the citrus longhorned beetle, Anoplophora chinensis, in Europe

Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch‐based three‐dimensional convolutional neural network

459: Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report

Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy

Accelerated respiratory-resolved 4D-MRI with separable spatio-temporal neural networks

Prospects for the use of biological control agents against Anoplophora in Europe

Dosimetric feasibility of direct post-operative MR-Linac-based stereotactic radiosurgery for resection cavities of brain metastases

Feasibility of MR-only proton dose calculations for prostate cancer radiotherapy using a commercial pseudo-CT generation method

Deep‐learning‐based joint rigid and deformable contour propagation for magnetic resonance imaging‐guided prostate radiotherapy

Quantification of confounding factors in MRI-based dose calculations as applied to prostate IMRT

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report

Prospects for the use of biological control agents against Anoplophora in Europe: Biological control agents against Anoplophora

Evaluation of an automatic MR-based gold fiducial marker localisation method for MR-only prostate radiotherapy

The feasibility of semi-automatically generated red bone marrow segmentations based on MR-only for patients with gynecologic cancer

[OA127] Cone-beam CT intensity correction for adaptive radiotherapy of the prostate using deep learning

Description of Aprostocetus anoplophorae n. sp. (Hymenoptera: Eulophidae), a new egg parasitoid of the invasive pest Anoplophora chinensis (Förster) (Coleoptera: Cerambycidae)

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