4 papers
Interpretable Concept-Guided Polynomial Tabular Kolmogorov-Arnold Network for EEG-Based Mild Cognitive Impairment Detection
Yosef Bernardus Wirian, Qiang Cheng
Early and scalable detection of mild cognitive impairment (MCI) remains an unresolved clinical challenge. Existing EEG-based screening approaches are constrained by handcrafted fea…
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…
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 (…
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…