Ahmad P. Tafti

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 19

Top Topics

Natural Language

Chronic Disease

Convolutional Neural Networks

Top Venues

Publications

Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Sakshi Mehul Thakar, Mehrnaz Abedian, Matthew F. Gong, Luke A. Carlson, Hamidreza Moradi, Soheyla Amirian, Ahmad P. Tafti
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs. CoRR (2023)
Nickolas Littlefield, Hamidreza Moradi, Soheyla Amirian, Hilal Maradit Kremers, Johannes F. Plate, Ahmad P. Tafti
Enforcing Explainable Deep Few-Shot Learning to Analyze Plain Knee Radiographs: Data from the Osteoarthritis Initiative. ICHI (2023)
Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Soheyla Amirian, Hamidreza Moradi, Ahmad P. Tafti
AI Fairness in Hip Bony Anatomy Segmentation: Analyzing and Mitigating Gender and Racial Bias in Plain Radiography Analysis. ICHI (2023)
Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Sakshi Mehul Thakar, Mehrnaz Abedian, Matthew F. Gong, Luke A. Carlson, Hamidreza Moradi, Soheyla Amirian, Ahmad P. Tafti
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs. BHI (2023)
Christina Letter, Puneet Gupta, Annie Kim, Guang-Ting Cong, Hongfang Liu, Ahmad P. Tafti
Gender-Specific Machine Learning Models to Predict Unplanned Return to Operating Room Following Primary Total Shoulder Arthroplasty. ICHI (2023)
Soheyla Amirian, Luke A. Carlson, Matthew F. Gong, Ines Lohse, Kurt R. Weiss, Johannes F. Plate, Ahmad P. Tafti
Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects. CoRR (2023)
Soheyla Amirian, Husam Ghazaleh, Mehdi Assefi, Hilal Maradit Kremers, Hamid R. Arabnia, Johannes F. Plate, Ahmad P. Tafti
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research. CoRR (2022)
Soheyla Amirian, Husam Ghazaleh, Mehdi Assefi, Hilal Maradit Kremers, Hamid R. Arabnia, Johannes F. Plate, Ahmad P. Tafti
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research. CSCI (2022)
Shi Yan, Taghi Ramazanian, Elham Sagheb, Walter K. Kremers, Vipin Chaudhary, Michael Taunton, Hilal Maradit Kremers, Ahmad P. Tafti
Give me a knee radiograph, I will tell you where the knee joint area is: a deep convolutional neural network adventure. CoRR (2022)
Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Sundeep Khosla, Hongfang Liu
Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records. J. Biomed. Informatics 102 (2020)
Shi Yan, Taghi Ramazanian, Elham Sagheb, Sunyang Fu, Sunghwan Sohn, David G. Lewallen, Hongfang Liu, Walter K. Kremers, Vipin Chaudhary, Michael Taunton, Hilal Maradit Kremers, Ahmad P. Tafti
DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. ISVC (2) (2020)
Luke A. Carlson, Jennifer St. Sauver, Sunyang Fu, Ahmad P. Tafti, Jungwei Fan, Molly M. Jeffery, Rozalina G. McCoy, Hongfang Liu, Yanshan Wang
Big Impact from Small Data: Unsupervised Machine Learning Approaches for Chronic Pain Patient Subgrouping. AMIA (2020)
Maryam Zolnoori, Che Ngufor, Anthony Faiola, Christina Eldredge, Jake Luo, Sunghwan Sohn, Joyce E. Balls-Berry, Ahmad P. Tafti, Nilay D. Shah, Timothy B. Patrick
Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. AMIA (2019)
Ahmad P. Tafti, Yue Dong, Elizabeth B. Habermann, Hongfang Liu, Vitaly Herasevich
Relationship Between Very Cold Outside Weather and Surgical Outcome: Integrating Shallow and Deep Artificial Neural Nets. MedInfo (2019)
Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Hongfang Liu
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records. CoRR (2019)
Ahmad P. Tafti, Sunyang Fu, Aditya Khurana, George M. Mastorakos, Kenneth G. Poole, Stephen J. Traub, James A. Yiannias, Hongfang Liu
Artificial intelligence to organize patient portal messages: a journey from an ensemble deep learning text classification to rule-based named entity recognition. BIBM (2019)
Yanshan Wang, Ahmad P. Tafti, Sunghwan Sohn, Rui Zhang
Applications of Natural Language Processing in Clinical Research and Practice. NAACL-HLT (Tutorial Abstracts) (2019)
Ahmad P. Tafti, Yanshan Wang, Feichen Shen, Elham Sagheb, Paul R. Kingsbury, Hongfang Liu
Integrating word embedding neural networks with PubMed abstracts to extract keyword proximity of chronic diseases. BHI (2019)
Ahmad P. Tafti, Edin Cubro, Hongfang Liu, Brian W. Pickering, Vitaly Herasevich
Privacy-preserving and non-intrusive video recognition technique to count the number of patient room visits during patient deterioration: a simulation study. AMIA (2019)