Ahmad P. Tafti
According to our database1,
Ahmad P. Tafti
authored at least 20 papers
between 2019 and 2024.
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Bibliography
2024
Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading.
J. Am. Medical Informatics Assoc., 2024
ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
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
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
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
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