Kochanny, Sara

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

Howard, F. M., Dolezal, J., Kochanny, S., Schulte, J., Chen, H., Heij, L., Huo, D., Nanda, R., Olopade, O. I., Kather, J. N., et al. (2021) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology

Dolezal, J. M., Srisuwananukorn, A., Karpeyev, D., Ramesh, S., Kochanny, S., Cody, B., Mansfield, A. S., Rakshit, S., Bansal, R., Bois, M. C., et al. (2022) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 147

Association of immune-related adverse events (irAEs) with improved response, progression-free survival, and overall survival for patients with metastatic head and neck cancer receiving anti-PD-1 therapy.

Foster, C. C., Kochanny, S., Khattri, A., Acharya, R., Dekker, A., Tan, Y.-H. C., Klema, E., Brisson, R. J., Saloura, V., Pearson, A. T., et al. (2018) · Journal of Clinical Oncology

Cancer Immunotherapy and BiomarkersHead and Neck Cancer Studies

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