3 papers
cs.CV2026
A Multimodal Deep Learning Framework for Edema Classification Using HCT and Clinical Data
Aram Ansary Ogholbake, Hannah Choi, Spencer Brandenburg +10
We propose AttentionMixer, a unified deep learning framework for multimodal detection of brain edema that combines structural head CT (HCT) with routine clinical metadata. While HC…
q-bio.GN2025
Five-Gene Expression Formula Accurately Detects Hepatocellular Carcinoma Tumors
Aram Ansary Ogholbake, Qiang Cheng
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths worldwide. Several diagnostic methods, such as imaging modalities and Serum Alpha-Fetoprotein (…
cs.LG2025
PROTECT: Protein circadian time prediction using unsupervised learning
Aram Ansary Ogholbake, Qiang Cheng
Circadian rhythms regulate the physiology and behavior of humans and animals. Despite advancements in understanding these rhythms and predicting circadian phases at the transcripti…