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Research output

Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer

Research output: Contribution to journal › Article › Scientific › peer-review

Associated researcher

  • Dinapoli, N.
  • Barbaro, B.
  • Gatta, R.
  • Chiloiro, G.
  • Casa, C.
  • Masciocchi, C.
  • Damiani, A.
  • Boldrini, L.
  • Gambacorta, M. A.
  • Dezio, M.
  • Mattiucci, G. C.
  • Balducci, M.
  • Fiorino, C.
  • Sini, C.
  • De Cobelli, F.
  • Di Muzio, N.
  • Gumina, C.
  • Passoni, P.
  • Manfredi, R.
  • Valentini, V.

Associated organisations

    Research areas

  • CT TEXTURE ANALYSIS, POSTOPERATIVE CHEMORADIOTHERAPY, NEOADJUVANT CHEMORADIOTHERAPY, TUMOR HETEROGENEITY, RADIATION-THERAPY, CHEMOTHERAPY, BIOMARKER, SURVIVAL

  1. Related by authors

  2. Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer

    Research output: Contribution to journal › Article › Scientific › peer-review

  3. Feasibility of CT radiomics to predict treatment response of individual liver metastases in esophagogastric cancer patients

    Research output: Contribution to journal › Article › Scientific › peer-review

  4. Machine learning and modeling: Data, validation, communication challenges

    Research output: Contribution to journal › Article › Scientific › peer-review

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Details

Original languageEnglish
Pages (from-to)765-774
Number of pages10
JournalInternational Journal of Radiation Oncology Biology Physics
Volume102
Issue number4
DOIs
StatePublished - 15 Nov 2018

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