Search Results - "Ravipati, Y."

Development and Validation of a Deep Learning System with Tumor- and Patient-Centric Imaging Analysis to Improve Risk-Stratification in Oropharyngeal Cancer by Ye, Z., Ravipati, Y., Hoebers, F., Zapaishchykova, A., Zha, Y., Tak, D., Mahootiha, M., Pardo, J.C., Guthier, C.V., Tishler, R.B., Margalit, D.N., Haddad, R.I., Schoenfeld, J.D., Mak, R.H., Aerts, H., Kann, B.H.

“…Oropharyngeal cancer (OPC) outcomes are heterogeneous, though management remains driven by stage of disease. Improved biomarkers may guide treatment approach…”
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Automated Sarcopenia Assessment and Outcomes in Head and Neck Cancer with Deep Learning Analysis of Cervical Neck Skeletal Muscle by Saraf, A., Ye, Z., Likitlersuang, J., Hoebers, F., Tishler, R.B., Schoenfeld, J.D., Margalit, D.N., Haddad, R.I., Ravipati, Y., Zha, Y., Naser, M., Wahid, K.A., Mak, R.H., Mäkitie, A., Kaski, K., Aerts, H., Fuller, C.D., Kann, B.H.

“…Sarcopenia is an established prognostic factor in patients diagnosed with head and neck cancers (HNC), typically measured by the skeletal muscle index (SMI)…”
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