Shady, Maha

Pan-cancer integrative histology-genomic analysis via multimodal deep learning

Chen, R. J., Lu, M. Y., Williamson, D. F. K., Chen, T. Y., Lipkova, J., Noor, Z., Shaban, M., Shady, M., Williams, M., Joo, B., et al. (2022) · Cancer Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 660

A rectal cancer organoid platform to study individual responses to chemoradiation

Ganesh, K., Wu, C., O’Rourke, K. P., Szeglin, B. C., Zheng, Y., Sauvé, C.-E. G., Adileh, M., Wasserman, I., Marco, M. R., Kim, A. S., et al. (2019) · Nature Medicine

Cancer Cells and MetastasisColorectal Cancer Surgical Treatments

Cited by 569

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images

Chen, R. J., Lu, M. Y., Weng, W.-H., Chen, T. Y., Williamson, D. F., Manz, T., Shady, M., & Mahmood, F. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 398

Development of genome-derived tumor type prediction to inform clinical cancer care

Penson, A., Camacho, N., Zheng, Y., Varghese, A. M., Al-Ahmadie, H., Razavi, P., Chandarlapaty, S., Vallejo, C. E., Vakiani, E., Gilewski, T., et al. (2020) · JAMA Oncology

Cancer Genomics and DiagnosticsCancer Diagnosis and Treatment

Cited by 115