activity
20232026
most citedComparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images

5 citations · 7 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CL2026

From Qualitative Text to Integrated Evidence: The Parallel-Then-Integrated (PTI) Procedure

Elyas Irankhah, Ashley Hagaman, Samah Fodeh

Mixed methods research offers established strategies for integrating qualitative and quantitative evidence, but less guidance for integrating two computational representations of t…

cs.IR2026

RAGFlip: Measuring Query-Level Negative Flips in Retriever Upgrades

Elyas Irankhah, Muhammad Arif

Retriever upgrades are typically evaluated using aggregate metrics, which can hide regressions on queries the previous retriever already served correctly. We study these regression…

cs.CL2026

PVminerLLM2: Improving Structured Extraction of Patient Voice via Preference Optimization

Samah Fodeh, Linhai Ma, Ganesh Puthiaraju +7

Motivation: Patient-generated text contains critical information on patients' lived experiences, social context, and care engagement, but remains largely unstructured, limiting its…

cs.AI2026

EPPC-OASIS: Ontology-Aware Adaptation and Structured Inference Refinement for Electronic Patient-Provider Communication Mining in Secure Messages

Samah Fodeh, Sreeraj Ramachandran, Elyas Irankhah +7

Secure patient-provider messages contain clinically important communication behaviors that are difficult to characterize manually at scale. The Electronic Patient-Provider Communic…

cs.CL2026

Yale-DM-Lab at ArchEHR-QA 2026: Deterministic Grounding and Multi-Pass Evidence Alignment for EHR Question Answering

Elyas Irankhah, Samah Fodeh

We describe the Yale-DM-Lab system for the ArchEHR-QA 2026 shared task. The task studies patient-authored questions about hospitalization records and contains four subtasks (ST): c…

cs.LG2026

STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction

Samah Fodeh, Ganesh Puthiaraju, Elyas Irankhah +5

Structured prediction with large language models requires outputs that are label-accurate, ontology-constrained, structurally valid, and evidence-grounded under label imbalance and…

cs.CL2024★ 2 cited

Transforming Dental Diagnostics with Artificial Intelligence: Advanced Integration of ChatGPT and Large Language Models for Patient Care

Masoumeh Farhadi Nia, Mohsen Ahmadi, Elyas Irankhah

Artificial intelligence has dramatically reshaped our interaction with digital technologies, ushering in an era where advancements in AI algorithms and Large Language Models (LLMs)…

eess.SY2023

Providing a Periodic Control Solution for Balance Control While Standing Using a Pendulum-Based Approach

Golnoush Shahraki, Majid Sadrzadeh, Elyas Irankhah

The stability of standing in humans is a complex process that leads to maintaining the upright position against external disturbances. Balance control during standing is of vital i…

eess.IV2023★ 5 cited

Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images

Mohsen Ahmadi, Masoumeh Farhadi Nia, Sara Asgarian +4

In this study, the main objective is to develop an algorithm capable of identifying and delineating tumor regions in breast ultrasound (BUS) and mammographic images. The technique…