output
20022026
most citedMeta-Research: COVID-19 medical papers have fewer women first authors than expected

403 citations

30 papers

q-fin.MF2026

An Actuarial Cost and Revenue Model for Helicopter Emergency Medical Services: Estimating Population-Based Coverage and Sustainability Thresholds

Robert D. Lieberthal, Sabin Ahmed, David M. Hechtman +4

Helicopter emergency medical services (HEMS) provide rapid access to critical care but are costly to operate and difficult to sustain financially. A clear understanding of these co…

q-fin.MF2026

Leveraging LLMs for Unstructured Claims Data Analysis

Robert D. Lieberthal, Richard Tran, Vietbao Phan +2

Actuaries rely primarily on structured numerical data for reserving and ratemaking, while valuable predictive information in unstructured text including medical records, adjuster n…

physics.med-ph2026

Robust synchrotron-based deep learning algorithm for intracochlear segmentation in clinical scans: development and international validation

Ashley Micuda, Daniel Newsted, Nastaran Shakourifar +9

Clinical imaging is routinely used for cochlear implant surgical planning yet lacks the resolution and contrast necessary to visualize the fine intracochlear structures critical fo…

cs.CV2025

Regional Attention-Enhanced Swin Transformer for Clinically Relevant Medical Image Captioning

Zubia Naz, Farhan Asghar, Muhammad Ishfaq Hussain +4

Automated medical image captioning translates complex radiological images into diagnostic narratives that can support reporting workflows. We present a Swin-BART encoder-decoder sy…

cs.LG2025★ 1 cited

HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning

Md Mozaharul Mottalib, Thao-Ly T. Phan, Rahmatollah Beheshti

Electronic health Records (EHRs) have become a cornerstone in modern-day healthcare. They are a crucial part for analyzing the progression of patient health; however, their complex…

eess.IV2024★ 9 cited

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

Dominic LaBella, Ujjwal Baid, Omaditya Khanna +119

We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in…