Elham Dolatabadi

According to our database, Elham Dolatabadi authored at least 39 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Keyphrase Generative Representation of Youth Crisis Conversations Beyond Static Taxonomies.

Abeer Badawi, Will Aitken, Lydia Sequeira, Jocelyn Rankin, Maia Leigh Norman, Elham Dolatabadi

CoRR, May, 2026

Fine-Grained Benchmark Generation for Comprehensive Evaluation of Foundation Models.

Mohammed Saidul Islam, Negin Baghbanzadeh, Farnaz Kohankhaki, Afshin Cheraghi, Ali Kore, Shayaan Mehdi, Elham Dolatabadi, Arash Afkanpour

CoRR, May, 2026

When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains.

Ahmadreza Jeddi, Kimia Shaban, Negin Baghbanzadeh, Natasha Sharan, Abhishek Moturu, Elham Dolatabadi, Babak Taati

CoRR, March, 2026

Assessing the Quality of Mental Health Support in LLM Responses through Multi-Attribute Human Evaluation.

Abeer Badawi, Md. Tahmid Rahman Laskar, Elahe Rahimi, Sheri Grach, Lindsay Bertrand, Lames Danok, Frank Rudzicz, Jimmy Huang, Elham Dolatabadi

CoRR, January, 2026

VLDBench Evaluating multimodal disinformation with regulatory alignment.

Shaina Raza, Ashmal Vayani, Aditya Jain, Aravind Narayanan, Vahid Reza Khazaie, Syed Raza Bashir, Elham Dolatabadi, Gias Uddin, Christos Emmanouilidis, Rizwan Qureshi, Mubarak Shah

Inf. Fusion, 2026

SphereEdit: Spherical Semantic Editing in Diffusion Models.

Salamata Konate, Hassan Hamidi, Elham Dolatabadi, Frank Rudzicz, Laleh Seyyed-Kalantri

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation.

Abeer Badawi, Elahe Rahimi, Md. Tahmid Rahman Laskar, Sheri Grach, Lindsay Bertrand, Lames Danok, Prathiba Dhanesh, Jimmy Huang, Frank Rudzicz, Elham Dolatabadi

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation.

Abeer Badawi, Elahe Rahimi, Md. Tahmid Rahman Laskar, Sheri Grach, Lindsay Bertrand, Lames Danok, Jimmy Huang, Frank Rudzicz, Elham Dolatabadi

CoRR, October, 2025

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning.

Negin Baghbanzadeh, Sajad Ashkezari, Elham Dolatabadi, Arash Afkanpour

CoRR, June, 2025

A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities.

Wen Xu, Elham Dolatabadi

CoRR, March, 2025

Similarity-Aware Token Pruning: Your VLM but Faster.

Ahmadreza Jeddi, Negin Baghbanzadeh, Elham Dolatabadi, Babak Taati

CoRR, March, 2025

A Shared Encoder Approach to Multimodal Representation Learning.

Shuvendu Roy, Franklin Ogidi, Ali Etemad, Elham Dolatabadi, Arash Afkanpour

CoRR, March, 2025

VLDBench: Vision Language Models Disinformation Detection Benchmark.

Shaina Raza, Ashmal Vayani, Aditya Jain, Aravind Narayanan, Vahid Reza Khazaie, Syed Raza Bashir, Elham Dolatabadi, Gias Uddin, Christos Emmanouilidis, Rizwan Qureshi, Mubarak Shah

CoRR, February, 2025

Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition.

Juan Andres Medina Florez, Shaina Raza, Rashida Lynn, Zahra Shakeri, Brendan T. Smith, Elham Dolatabadi

CoRR, January, 2025

Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models.

Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad

Trans. Mach. Learn. Res., 2025

The FAIIR conversational AI agent assistant for youth mental health service provision.

Stephen Obadinma, Alia Lachana, Maia Leigh Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi

npj Digit. Medicine, 2025

MLHOps: Machine Learning Health Operations.

Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloé Pou-Prom, Sedef Akinli Koçak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

IEEE Access, 2025

Advancing Medical Representation Learning Through High-Quality Data.

Negin Baghbanzadeh, Adibvafa Fallahpour, Yasaman Parhizkar, Franklin Ogidi, Shuvendu Roy, Sajad Ashkezari, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Arash Afkanpour, Elham Dolatabadi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care.

Abeer Badawi, Md. Tahmid Rahman Laskar, Jimmy Huang, Shaina Raza, Elham Dolatabadi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization.

Elahe Rahimi, Hassan Sajjad, Domenic Rosati, Abeer Badawi, Elham Dolatabadi, Frank Rudzicz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge.

Md. Tahmid Rahman Laskar, Israt Jahan, Elham Dolatabadi, Chun Peng, Enamul Hoque, Jimmy Huang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Detecting Patient Position Using Bed-Reaction Forces for Pressure Injury Prevention and Management.

Nikola Pupic, Sharon Gabison, Gary Evans, Geoffrey R. Fernie, Elham Dolatabadi, Tilak Dutta

Sensors, October, 2024

FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training?

Shaina Raza, Shardul Ghuge, Chen Ding, Elham Dolatabadi, Deval Pandya

Data Intell., 2024

Practical Guide for Causal Pathways and Sub-group Disparity Analysis.

Farnaz Kohankhaki, Shaina Raza, Oluwanifemi Bamgbose, Deval Pandya, Elham Dolatabadi

CoRR, 2024

Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning.

Shuvendu Roy, Yasaman Parhizkar, Franklin Ogidi, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Elham Dolatabadi, Arash Afkanpour

CoRR, 2024

The FAIIR Tool: A Conversational AI Agent Assistant for Youth Mental Health Service Provision.

Stephen Obadinma, Alia Lachana, Maia Leigh Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi

CoRR, 2024

Few-shot Tuning of Foundation Models for Class-incremental Learning.

Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad

CoRR, 2024

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review.

Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi, Hiroshi Mamiya

IEEE Access, 2024

2023

MLHOps: Machine Learning for Healthcare Operations.

Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

CoRR, 2023

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.

Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhom, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar, Bencheng Wei, Iris Ren, Waqar Muhammad, Erin Li, Bukola Ishola, Michael Wang, Griffin Tanner, Yu-Jia Shiah, Sean X. Zhang, Kwesi P. Apponsah, Kanishk Patel, Jaswinder Narain, Deval Pandya, Xiaodan Zhu, Frank Rudzicz, Elham Dolatabadi

CoRR, 2023

Evaluating Knowledge Transfer in the Neural Network for Medical Images.

Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi

IEEE Access, 2023

2022

Measuring Repositioning in Home Care for Pressure Injury Prevention and Management.

Sharon Gabison, Nikola Pupic, Gary Evans, Elham Dolatabadi, Tilak Dutta

Sensors, 2022

2020

An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain.

Paul Grouchy, Shobhit Jain, Michael Liu, Kuhan Wang, Max Tian, Nidhi Arora, Hillary Ngai, Faiza Khan Khattak, Elham Dolatabadi, Sedef Akinli Koçak

CoRR, 2020

A Computer Vision Approach to Combat Lyme Disease.

Sina Akbarian, Tania Cawston, Laurent Moreno, Samir Patel, Vanessa Allen, Elham Dolatabadi

CoRR, 2020

A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature.

Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Akinli Koçak, Elham Dolatabadi

Proceedings of the First Workshop on Scholarly Document Processing, 2020

2017

Mixture-Model Clustering of Pathological Gait Patterns.

Elham Dolatabadi, Avril Mansfield, Kara K. Patterson, Babak Taati, Alex Mihailidis

IEEE J. Biomed. Health Informatics, 2017

The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy.

Elham Dolatabadi, Ying Xuan Zhi, Bing Ye, Marge M. Coahran, Giorgia Lupinacci, Alex Mihailidis, Rosalie Wang, Babak Taati

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017

2016

Automated classification of pathological gait after stroke using ubiquitous sensing technology.

Elham Dolatabadi, Babak Taati, Alex Mihailidis

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2011

Statistical characterization of wireless channel between personal area network nodes.

Elham Dolatabadi, Serguei Primak

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011