Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers. Nanda, S., Antunes, J. T., Bera, K., Brady, J. T., Friedman, K., Willis, J. E., Paspulati, R. M., & Viswanath, S. E. In Fei, B. & Linte, C. A., editors, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, USA, February 15-20, 2020, of SPIE Proceedings, pages 1131530, 2020. SPIE.
Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/miigp/NandaABBFWPV20,
  author       = {Siddhartha Nanda and
                  Jacob T. Antunes and
                  Kaustav Bera and
                  Justin T. Brady and
                  Kenneth Friedman and
                  Joseph E. Willis and
                  Raj M. Paspulati and
                  Satish E. Viswanath},
  editor       = {Baowei Fei and
                  Cristian A. Linte},
  title        = {Texture kinetic features from pre-treatment {DCE} {MRI} for predicting
                  pathologic tumor stage regression after neoadjuvant chemoradiation
                  in rectal cancers},
  booktitle    = {Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions,
                  and Modeling, Houston, TX, USA, February 15-20, 2020},
  series       = {{SPIE} Proceedings},
  pages        = {1131530},
  publisher    = {{SPIE}},
  year         = {2020},
  url          = {https://doi.org/10.1117/12.2552175},
  doi          = {10.1117/12.2552175},
  timestamp    = {Wed, 27 Nov 2024 12:15:30 +0100},
  biburl       = {https://dblp.org/rec/conf/miigp/NandaABBFWPV20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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