Emanuelle M. Rizk

Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death

Prathamesh M. Kulkarni, Eric Robinson, Jaya Sarin Pradhan et al. · Clinical Cancer Research · 2019 · 121 citations · Full text

An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma

Balázs Ács, Fahad Shabbir Ahmed, Swati Gupta et al. · Nature Communications · 2019 · 101 citations · Full text

Linking Transcriptomic and Imaging Data Defines Features of a Favorable Tumor Immune Microenvironment and Identifies a Combination Biomarker for Primary Melanoma

Robyn D. Gartrell, Andrew Chen, Emanuelle M. Rizk et al. · Cancer Research · 2020 · 31 citations · Full text

Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma

Michael Moore, Isabel D. Friesner, Emanuelle M. Rizk et al. · Scientific Reports · 2021 · 26 citations · Full text

Validation of Melanoma Immune Profile (MIP), a Prognostic Immune Gene Prediction Score for Stage II–III Melanoma

Robyn D. Gartrell, Douglas K. Marks, Emanuelle M. Rizk et al. · Clinical Cancer Research · 2019 · 22 citations · Full text