activity
20152026
most citedRecent Advances in Recurrent Neural Networks

585 citations · 841 across the 29 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.LG2026

GraphBEAT: Graph-based Bucketized Event Aggregation Over Time for Early Risk Stratification of Gastrointestinal Cancers

Leo Y. Li-Han, Chris Varghese, Elizabeth B. Habermann +4

Longitudinal electronic health records (EHRs) contain complementary diagnostic and laboratory information about patient health. However, irregularity, sparsity, heterogeneity, and…

cs.CV2026

Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography

Ashok Choudhary, Chris Varghese, Leo Y. Li-Han +5

Postoperative pancreatic fistula (POPF) is a serious complication after pancreatic resection, increasing morbidity, hospital stay, and healthcare costs. We present an automatic, en…

cs.LG2026

Digitally enriching a high-risk population for pancreatic cancer using routine blood-based measures and clinical histories

Chris Varghese, Leo Y. Li-Han, Richa Bisht +10

Earlier detection of pancreatic cancer is key to enabling wider access to curative treatment and reducing cancer deaths; however, screening is presently not viable. Latent digital…

cs.AI2026

GraD-IBD: Graph Representation Learning from Diagnosis Trajectories for Early Detection of Inflammatory Bowel Disease

Leo Y. Li-Han, Ellen L. Larson, Elizabeth B. Habermann +2

International Classification of Diseases (ICD) is a globally recognized coding system that records diagnostic events during each patient encounter, providing a standardized data fo…

cs.RO2026

Beyond Amplitude: Channel State Information Phase-Aware Deep Fusion for Robotic Activity Recognition

Rojin Zandi, Hojjat Salehinejad, Milad Siami

Wi-Fi Channel State Information (CSI) has emerged as a promising non-line-of-sight sensing modality for human and robotic activity recognition. However, prior work has predominantl…