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Ahmad P. Tafti
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2020 – today
- 2024
- [c15]Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ahmad P. Tafti, Charles DeCarli, Dana L. Tudorascu, Seong Jae Hwang:
ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation. MICCAI (2) 2024: 184-194 - [c14]Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali:
TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. MICCAI (12) 2024: 324-333 - 2023
- [c13]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: 1-5 - [c12]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: 252-260 - [c11]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: 714-716 - [c10]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: 717-721 - [i5]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 abs/2308.04356 (2023) - [i4]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 abs/2308.04696 (2023) - 2022
- [c9]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: 289-292 - [i3]Shi Yan, Taghi Ramazanian, Elham Sagheb, Walter K. Kremers, Vipin Chaudhary, Michael J. 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 abs/2202.05382 (2022) - [i2]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 abs/2212.11933 (2022) - 2020
- [j1]Yanshan Wang
, Yiqing Zhao
Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records. J. Biomed. Informatics 102: 103364 (2020) - [c8]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 - [c7]Shi Yan, Taghi Ramazanian, Elham Sagheb, Sunyang Fu
DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. ISVC (2) 2020: 154-165
2010 – 2019
- 2019
- [c6]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 - [c5]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 - [c4]Ahmad P. Tafti, Yanshan Wang
Integrating word embedding neural networks with PubMed abstracts to extract keyword proximity of chronic diseases. BHI 2019: 1-4 - [c3]Ahmad P. Tafti, Sunyang Fu
Artificial intelligence to organize patient portal messages: a journey from an ensemble deep learning text classification to rule-based named entity recognition. BIBM 2019: 1380-1387 - [c2]Ahmad P. Tafti, Yue Dong
Relationship Between Very Cold Outside Weather and Surgical Outcome: Integrating Shallow and Deep Artificial Neural Nets. MedInfo 2019: 1783-1784 - [c1]Yanshan Wang, Ahmad P. Tafti, Sunghwan Sohn, Rui Zhang:
Applications of Natural Language Processing in Clinical Research and Practice. NAACL-HLT (Tutorial Abstracts) 2019: 22-25 - [i1]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 abs/1905.10309 (2019)
Coauthor Index
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