Hamid R. Tizhoosh

OmicsFootPrint integrates and interprets multi-omics data using circular images and deep neural networks, achieving high AUC scores in cancer subtype classification and drug response prediction.

This paper develops a deep learning method to generate compact whole slide image representations for bone marrow cytology, achieving improved diagnostic prediction and image retrieval.