Ahmad P. Tafti

According to our database1, Ahmad P. Tafti authored at least 17 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects.
CoRR, 2023

AI Fairness in Hip Bony Anatomy Segmentation: Analyzing and Mitigating Gender and Racial Bias in Plain Radiography Analysis.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Enforcing Explainable Deep Few-Shot Learning to Analyze Plain Knee Radiographs: Data from the Osteoarthritis Initiative.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Gender-Specific Machine Learning Models to Predict Unplanned Return to Operating Room Following Primary Total Shoulder Arthroplasty.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
Give me a knee radiograph, I will tell you where the knee joint area is: a deep convolutional neural network adventure.
CoRR, 2022

Word Embedding Neural Networks to Advance Knee Osteoarthritis Research.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2020
Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records.
J. Biomed. Informatics, 2020

DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Big Impact from Small Data: Unsupervised Machine Learning Approaches for Chronic Pain Patient Subgrouping.
Proceedings of the AMIA 2020, 2020

2019
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records.
CoRR, 2019

Applications of Natural Language Processing in Clinical Research and Practice.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Relationship Between Very Cold Outside Weather and Surgical Outcome: Integrating Shallow and Deep Artificial Neural Nets.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Artificial intelligence to organize patient portal messages: a journey from an ensemble deep learning text classification to rule-based named entity recognition.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Integrating word embedding neural networks with PubMed abstracts to extract keyword proximity of chronic diseases.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts.
Proceedings of the AMIA 2019, 2019

Privacy-preserving and non-intrusive video recognition technique to count the number of patient room visits during patient deterioration: a simulation study.
Proceedings of the AMIA 2019, 2019


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