Statistical characterization of wireless channel between personal area network nodes. - Elham Dolatabadi; Serguei Primak (ISABEL, 2011)

Automated classification of pathological gait after stroke using ubiquitous sensing technology. - Elham Dolatabadi; Babak Taati; Alex Mihailidis (EMBC, 2016)

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 (PervasiveHealth, 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)

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 (SDP@EMNLP, 2020)

A Computer Vision Approach to Combat Lyme Disease. - Sina Akbarian; Tania Cawston; Laurent Moreno; Samir Patel; Vanessa Allen; Elham Dolatabadi (CoRR, 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)

Measuring Repositioning in Home Care for Pressure Injury Prevention and Management. - Sharon Gabison; Nikola Pupic; Gary Evans; Elham Dolatabadi; Tilak Dutta (Sensors, 2022)

Evaluating Knowledge Transfer in the Neural Network for Medical Images. - Sina Akbarian; Laleh Seyyed-Kalantari; Farzad Khalvati; Elham Dolatabadi (IEEE Access, 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; et al. (CoRR, 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)

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)

Few-shot Tuning of Foundation Models for Class-incremental Learning. - Shuvendu Roy; Elham Dolatabadi; Arash Afkanpour; Ali Etemad (CoRR, 2024)

The FAIIR Tool: A Conversational AI Agent Assistant for Youth Mental Health Service Provision. - Stephen Obadinma; Alia Lachana; Maia Norman; Jocelyn Rankin; Joanna Yu; Xiaodan Zhu 001; Darren Mastropaolo; Deval Pandya; Roxana Sultan; 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)

Practical Guide for Causal Pathways and Sub-group Disparity Analysis. - Farnaz Kohankhaki; Shaina Raza; Oluwanifemi Bamgbose; Deval Pandya; Elham Dolatabadi (CoRR, 2024)

FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? - Shaina Raza; Shardul Ghuge; Chen Ding 004; Elham Dolatabadi; Deval Pandya (Data Intell., 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, 2024)

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 001 (ACL (1), 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)

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 001; Darren Mastropaolo; Deval Pandya; Roxana Sultan; Elham Dolatabadi (npj Digit. Medicine, 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)

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, 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 001; Christos Emmanouilidis; Rizwan Qureshi; Mubarak Shah (CoRR, 2025)

A Shared Encoder Approach to Multimodal Representation Learning. - Shuvendu Roy; Franklin Ogidi; Ali Etemad; Elham Dolatabadi; Arash Afkanpour (CoRR, 2025)

Similarity-Aware Token Pruning: Your VLM but Faster. - Ahmadreza Jeddi; Negin Baghbanzadeh; Elham Dolatabadi; Babak Taati (CoRR, 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 (CoRR, 2025)

Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care. - Abeer Badawi; Md. Tahmid Rahman Laskar; Jimmy Xiangji Huang; Shaina Raza; Elham Dolatabadi (CoRR, 2025)

A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities. - Wen Xu; Elham Dolatabadi (CoRR, 2025)

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning. - Negin Baghbanzadeh; Sajad Ashkezari; Elham Dolatabadi; Arash Afkanpour (CoRR, 2025)