Ahmad P. Tafti
Orcid: 0000-0001-9650-2862
According to our database1,
Ahmad P. Tafti authored at least 38 papers
between 2012 and 2026.
Collaborative distances:
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Bibliography
2026
J. Heal. Informatics Res., June, 2026
Uncertainty-Quantified and Explainable Age- and Sex-Aware Contrastive Learning for Knee Osteoarthritis Classification.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
Predicting cancer survival at different stages: Insights from fair and explainable machine learning approaches.
Int. J. Medical Informatics, 2025
State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis.
IEEE Access, 2025
Self-supervised Representation Learning for AI-Based Musculoskeletal Radiograph Registry Construction.
Proceedings of the Advances in Visual Computing - 20th International Symposium, 2025
Explainable Feature Engineering in Health Data Science: Empirical Comparison of ChatGPT-4o and Classical Machine Learning Methods.
Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, 2025
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
2018
A comparative study on the application of SIFT, SURF, BRIEF and ORB for 3D surface reconstruction of electron microscopy images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Quantifying predictive capability of electronic health records for the most harmful breast cancer.
Proceedings of the Medical Imaging 2018: Image Perception, 2018
Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018
2017
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017
bigNN: An open-source big data toolkit focused on biomedical sentence classification.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016
2015
CoRR, 2015
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015
2014
3D Microscopy Vision Using Multiple View Geometry and Differential Evolutionary Approaches.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014
2012
An efficient algorithm for human cell detection in electron microscope images based on cluster analysis and vector quantization techniques.
Proceedings of the 2012 Second International Conference on Digital Information and Communication Technology and it's Applications (DICTAP), 2012