Literature DB >> 33458325

Future directions on the merge of quantitative imaging and artificial intelligence in radiation oncology.

Kathrine Røe Redalen1, Daniela Thorwarth2.   

Abstract

Entities:  

Year:  2020        PMID： 33458325      PMCID： PMC7807640          DOI： 10.1016/j.phro.2020.06.007

Source DB:  PubMed          Journal:  Phys Imaging Radiat Oncol        ISSN： 2405-6316


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  11 in total

Review 1.  Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies.

Authors:  Shalini K Vinod; Michael G Jameson; Myo Min; Lois C Holloway
Journal:  Radiother Oncol       Date:  2016-10-08       Impact factor: 6.280

Review 2.  Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

Authors:  Reid F Thompson; Gilmer Valdes; Clifton D Fuller; Colin M Carpenter; Olivier Morin; Sanjay Aneja; William D Lindsay; Hugo J W L Aerts; Barbara Agrimson; Curtiland Deville; Seth A Rosenthal; James B Yu; Charles R Thomas
Journal:  Radiother Oncol       Date:  2018-06-12       Impact factor: 6.280

3.  A dual-purpose MRI acquisition to combine 4D-MRI and dynamic contrast-enhanced imaging for abdominal radiotherapy planning.

Authors:  Bjorn Stemkens; Fieke M Prins; Tom Bruijnen; Linda G W Kerkmeijer; Jan J W Lagendijk; Cornelis A T van den Berg; Rob H N Tijssen
Journal:  Phys Med Biol       Date:  2019-03-08       Impact factor: 3.609

Review 4.  Nuts and bolts of 4D-MRI for radiotherapy.

Authors:  B Stemkens; E S Paulson; R H N Tijssen
Journal:  Phys Med Biol       Date:  2018-10-23       Impact factor: 3.609

5.  Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.

Authors:  Nuo Tong; Shuiping Gou; Shuyuan Yang; Dan Ruan; Ke Sheng
Journal:  Med Phys       Date:  2018-09-19       Impact factor: 4.071

Review 6.  Radiation oncology in the era of precision medicine.

Authors:  Michael Baumann; Mechthild Krause; Jens Overgaard; Jürgen Debus; Søren M Bentzen; Juliane Daartz; Christian Richter; Daniel Zips; Thomas Bortfeld
Journal:  Nat Rev Cancer       Date:  2016-03-18       Impact factor: 60.716

7.  Target coverage and dose criteria based evaluation of the first clinical 1.5T MR-linac SBRT treatments of lymph node oligometastases compared with conventional CBCT-linac treatment.

Authors:  Dennis Winkel; Gijsbert H Bol; Anita M Werensteijn-Honingh; Martijn P W Intven; Wietse S C Eppinga; Jochem Hes; Louk M W Snoeren; Gonda G Sikkes; Christa G M Gadellaa-van Hooijdonk; Bas W Raaymakers; Ina M Jürgenliemk-Schulz; Petra S Kroon
Journal:  Radiother Oncol       Date:  2020-03-06       Impact factor: 6.280

8.  Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy.

Authors:  Sharif Elguindi; Michael J Zelefsky; Jue Jiang; Harini Veeraraghavan; Joseph O Deasy; Margie A Hunt; Neelam Tyagi
Journal:  Phys Imaging Radiat Oncol       Date:  2019-12-12

Review 9.  Quantitative imaging for radiotherapy purposes.

Authors:  Oliver J Gurney-Champion; Faisal Mahmood; Marcel van Schie; Robert Julian; Ben George; Marielle E P Philippens; Uulke A van der Heide; Daniela Thorwarth; Kathrine R Redalen
Journal:  Radiother Oncol       Date:  2020-02-27       Impact factor: 6.280

10.  A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy response.

Authors:  Oliver J Gurney-Champion; Jennifer P Kieselmann; Kee H Wong; Brian Ng-Cheng-Hin; Kevin Harrington; Uwe Oelfke
Journal:  Phys Imaging Radiat Oncol       Date:  2020-07
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  2 in total

1.  Five years, 20 volumes and 300 publications of Physics and Imaging in Radiation Oncology.

Authors:  Ludvig P Muren; Kathrine R Redalen; Daniela Thorwarth
Journal:  Phys Imaging Radiat Oncol       Date:  2022-03-03

2.  AI-Driven Image Analysis in Central Nervous System Tumors-Traditional Machine Learning, Deep Learning and Hybrid Models.

Authors:  A V Krauze; Y Zhuge; R Zhao; E Tasci; K Camphausen
Journal:  J Biotechnol Biomed       Date:  2022-01-10
  2 in total

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