Neural network based ensemble model to predict radiation induced lymphopenia after concurrent chemo-radiotherapy for non-small cell lung cancer from two institutions
Yejin Kim(Harvard University), Clemens Grassberger(University of Washington), Radhe Mohan(The University of Texas MD Anderson Cancer Center), Steven H. Lin(The University of Texas MD Anderson Cancer Center), Nadya Shusharina(Harvard University), Hong In Yoon(Yonsei University), Seungryong Cho(Korea Advanced Institute of Science and Technology), Yeona Cho(Gangnam Severance Hospital), Ibrahim Chamseddine(Harvard University), Jin Sung Kim(Yonsei University), Harald Paganetti(Harvard University)
Cited by 11
Related Papers
Neuropeptide S
|Neuron|2004|516
Circulating tumor DNA dynamics predict benefit from consolidation immunotherapy in locally advanced non-small-cell lung cancer
|Nature Cancer|2020|369
Intensity-modulated proton beam therapy (IMPT) versus intensity-modulated photon therapy (IMRT) for patients with oropharynx cancer – A case matched analysis
|Radiotherapy and Oncology|2016|231
Factors Associated With Age Disparities Among Cancer Clinical Trial Participants
|JAMA Oncology|2019|229