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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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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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Assessment of Chemical and Biological Fungicides for the Control of Diplodia mutila Causing Wood Necrosis in Hazelnut

Plants (Basel), 2024-09, Vol.13 (19), p.2753

2024

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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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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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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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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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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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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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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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[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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Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images

Biomedical Image Registration, p.101-111

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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

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

Assessment of Chemical and Biological Fungicides for the Control of Diplodia mutila Causing Wood Necrosis in Hazelnut

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

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

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

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

Generalizable synthetic MRI with physics‐informed convolutional 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

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

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

[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)

Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images

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