Powering predictive treatment planning by a Seq2Seq deep learning predictor Meeting Abstract


Authors: Lee, D.; Hu, Y.; Kuo, L.; Alam, S.; Yorke, E.; Rimner, A.; Zhang, P.
Abstract Title: Powering predictive treatment planning by a Seq2Seq deep learning predictor
Meeting Title: 63rd Annual Meeting and Exhibition of the American Association of Physicists in Medicine (AAPM)
Journal Title: Medical Physics
Volume: 48
Issue: 6
Meeting Dates: 2021 Jul 25-29
Meeting Location: Virtual
ISSN: 0094-2405
Publisher: American Association of Physicists in Medicine  
Date Published: 2021-06-01
Language: English
ACCESSION: WOS:000673145401291
PROVIDER: wos
PUBMED: 34235766
DOI: 10.1002/mp.15041
Notes: Meeting Abstract: WE-IePD-TRACK 3-04; Part of 'Multi-Disciplinary Interactive ePoster Discussion - TRACK 3 - Multi-Disciplinary: Biologically and Functionally-Guided Radiation Therapy' -- PDF does not provide page numbers -- Source: Wos
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Li Cheng Kuo
    63 Kuo
  2. Andreas Rimner
    524 Rimner
  3. Pengpeng Zhang
    175 Zhang
  4. Ellen D Yorke
    450 Yorke
  5. Yu-Chi Hu
    118 Hu
  6. Donghoon Lee
    11 Lee