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Conference and Workshop Papers
- 2023
[c4]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- 2020
- [c3]Luke A. Carlson, Molly M. Jeffery, Sunyang Fu, Huan He, Rozalina G. McCoy, Yanshan Wang, W. M. Hooten, Jennifer L. St. Sauver, Hongfang Liu, Jungwei Fan:
Annotating Chronic Pain Episodes in EHR Text: Guideline Development and Corpus Analysis. AMIA 2020 - [c2]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 - [c1]Yiqing Zhao, Hanzhong Yu, Luke A. Carlson, Feichen Shen, Sunyang Fu, Hongfang Liu, Chen Wang:
Extracting Patient Genetic Information from Unstructured Clinical Notes. AMIA 2020
Informal and Other Publications
- 2023
- [i3]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) - [i2]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) - 2019
- [i1]Yanshan Wang, Krishna B. Soundararajan, Sunyang Fu, Luke A. Carlson, Rebecca A. Smith, David S. Knopman, Hongfang Liu:
How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease? CoRR abs/1908.10678 (2019)
Coauthor Index
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