Aukerman, Andrew T.
Memorial Sloan Kettering Cancer Center
2 papers on CoChatORCID 0000-0003-1944-769X
Most cited papers
- Verified
Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer
Vanguri, R. S., Luo, J., Aukerman, A. T., Egger, J. V., Fong, C. J., Horvat, N., Pagano, A., Araujo-Filho, J. D. A. B., Geneslaw, L., Rizvi, H., et al. (2022) · Nature Cancer
Cancer Immunotherapy and BiomarkersRadiomics and Machine Learning in Medical Imaging
Cited by 395
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Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
Boehm, K. M., Aherne, E. A., Ellenson, L., Nikolovski, I., Alghamdi, M., Vázquez-García, I., Zamarin, D., Long Roche, K., Liu, Y., Patel, D., et al. (2022) · Nature Cancer
Ovarian cancer diagnosis and treatmentRadiomics and Machine Learning in Medical Imaging
Cited by 357
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