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Physics in medicine and biology : the journal of the Hospital Physicists Association publ. in assoc. with the Philosophical magazine
TIBKAT | 1.1956/57-volume 62, number 24 (21 December 2017) -
First patients treated with a 1.5 T MRI-Linac: clinical proof of concept of a high-precision, high-field MRI guided radiotherapy treatment
Free accessLetterIOP Institute of Physics | 2017| -
Deep learning for undersampled MRI reconstruction
Free accessPaperIOP Institute of Physics | 2018| -
The linear quadratic model: usage, interpretation and challenges
Free accessTopical ReviewIOP Institute of Physics | 2019| -
3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture
PaperIOP Institute of Physics | 2019| -
Receiver operating characteristic (ROC) curves: review of methods with applications in diagnostic medicine
Topical ReviewIOP Institute of Physics | 2018| -
Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy
PaperIOP Institute of Physics | 2019| -
Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
Free accessPaperIOP Institute of Physics | 2018| -
Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network
PaperIOP Institute of Physics | 2019| -
Nanoparticle radio-enhancement: principles, progress and application to cancer treatment
Free accessTopical ReviewIOP Institute of Physics | 2018| -
A deep learning framework for supporting the classification of breast lesions in ultrasound images
PaperIOP Institute of Physics | 2017| -
MRI-only treatment planning: benefits and challenges
Topical ReviewIOP Institute of Physics | 2018| -
High-frequency SiPM readout advances measured coincidence time resolution limits in TOF-PET
PaperIOP Institute of Physics | 2019| -
DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks
PaperIOP Institute of Physics | 2018| -
Computed tomography super-resolution using deep convolutional neural network
PaperIOP Institute of Physics | 2018|
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