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Deep learning based synthetic‐CT generation in radiotherapy and PET: A review

Medical physics (Lancaster), 2021-11, Vol.48 (11), p.6537-6566

2021

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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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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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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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A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer

Physics and imaging in radiation oncology, 2020-04, Vol.14, p.24-31

2020

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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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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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Deep learning-based synthetic CT generation for paediatric brain MR-only photon and proton radiotherapy

Radiotherapy and oncology, 2020-12, Vol.153, p.197-204

2020

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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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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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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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Generalizable synthetic MRI with physics‐informed convolutional networks

Medical physics (Lancaster), 2024-05, Vol.51 (5), p.3348-3359

2024

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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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loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning

Medical image analysis, 2022-08, Vol.80, p.102509-102509, Article 102509

2022

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Real‐time 3D motion estimation from undersampled MRI using multi‐resolution neural networks

Medical physics (Lancaster), 2021-11, Vol.48 (11), p.6597-6613

2021

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SynthRAD2023 Grand Challenge dataset: Generating synthetic CT for radiotherapy

Medical physics (Lancaster), 2023-07, Vol.50 (7), p.4664-4674

2023

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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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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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Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis

Physica medica, 2023-08, Vol.112, p.102642-102642, Article 102642

2023

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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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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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Deep learning based synthetic‐CT generation in radiotherapy and PET: A review

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

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

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

A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer

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

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

Deep learning-based synthetic CT generation for paediatric brain MR-only photon and proton radiotherapy

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

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

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

Generalizable synthetic MRI with physics‐informed convolutional networks

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

loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning

Real‐time 3D motion estimation from undersampled MRI using multi‐resolution neural networks

SynthRAD2023 Grand Challenge dataset: Generating synthetic CT for radiotherapy

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

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report

Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis

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

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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