65 citations · 198 across the 22 of their papers we have counts for
33 papers
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…
Digitally enriching a screening 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 indicato…
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…
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…
Synthetic Feature Augmentation Improves Generalization Performance of Language Models
Ashok Choudhary, Cornelius Thiels, Hojjat Salehinejad
Training and fine-tuning deep learning models, especially large language models (LLMs), on limited and imbalanced datasets poses substantial challenges. These issues often result i…
Deep Learning on Hester Davis Scores for Inpatient Fall Prediction
Hojjat Salehinejad, Ricky Rojas, Kingsley Iheasirim +2
Fall risk prediction among hospitalized patients is a critical aspect of patient safety in clinical settings, and accurate models can help prevent adverse events. The Hester Davis…