EDITORIAL
Published on 19 Apr 2024
Editorial: Magnetic resonance and artificial intelligence: online guidance for adaptive radiotherapy in abdominal and pelvic cancer treatment
doi 10.3389/fonc.2024.1409109
- 446 views
- Frontiers in Oncology
- Radiation Oncology
- Research Topics
- Magnetic Resonance and Artificial Intelligence: Online Guidance for Adaptive Radiotherapy in Abdominal and Pelvic Cancer Treatment
Magnetic Resonance and Artificial Intelligence: Online Guidance for Adaptive Radiotherapy in Abdominal and Pelvic Cancer Treatment
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Articles
ORIGINAL RESEARCH
Published on 28 Mar 2024
Impact of bias field correction on 0.35 T pelvic MR images: evaluation on generative adversarial network-based OARs’ auto-segmentation and visual grading assessment
doi 10.3389/fonc.2024.1294252
- 686 views
ORIGINAL RESEARCH
Published on 08 Jan 2024
Deep learning application for abdominal organs segmentation on 0.35 T MR-Linac images
doi 10.3389/fonc.2023.1285924
- 1,209 views
- 1 citation
ORIGINAL RESEARCH
Published on 13 Dec 2023
Impact of intrafraction motion in pancreatic cancer treatments with MR-guided adaptive radiation therapy
doi 10.3389/fonc.2023.1298099
- 1,033 views
- 1 citation
ORIGINAL RESEARCH
Published on 28 Nov 2023
A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study
doi 10.3389/fonc.2023.1279750
- 1,323 views
- 4 citations
ORIGINAL RESEARCH
Published on 24 Nov 2023
Feasibility of delta radiomics–based pCR prediction for rectal cancer patients treated with magnetic resonance–guided adaptive radiotherapy
doi 10.3389/fonc.2023.1230519
- 1,027 views
- 1 citation
ORIGINAL RESEARCH
Published on 10 Nov 2023
A multi-centric evaluation of self-learning GAN based pseudo-CT generation software for low field pelvic magnetic resonance imaging
doi 10.3389/fonc.2023.1245054
- 1,133 views
- 2 citations
ORIGINAL RESEARCH
Published on 03 Nov 2023
An open-source nnU-net algorithm for automatic segmentation of MRI scans in the male pelvis for adaptive radiotherapy
doi 10.3389/fonc.2023.1285725
- 1,534 views
- 1 citation
REVIEW
Published on 13 Jun 2023
Research progress on deep learning in magnetic resonance imaging–based diagnosis and treatment of prostate cancer: a review on the current status and perspectives
doi 10.3389/fonc.2023.1189370
- 3,859 views
- 17 citations
Published in
Frontiers in Oncology
- Radiation Oncology
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