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ORCIDSteve Deppen
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- affiliation: Vanderbilt University Medical Center, Nashville, TN, USA
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2020 – today
- 2022
[j6]Riqiang Gao
, Thomas Z. Li, Yucheng Tang, Kaiwen Xu, Mirza S. Khan, Michael N. Kammer, Sanja L. Antic, Stephen Deppen, Yuankai Huo, Thomas A. Lasko, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. Comput. Biol. Medicine 150: 106113 (2022)- [j5]Rachel S. Chang, Jaimie Z. Shing, Jennifer C. Erves, Liping Du, Tatsuki Koyama, Stephen Deppen, Alyssa B. Rentuza, Caree McAfee, Christine Stroebel, Janet Cates, Lora Harnack, David Andrews, Robert Bramblett, Pamela C. Hull:
Measurement of provider fidelity to immunization guidelines: a mixed-methods study on the feasibility of documenting patient refusals of the human papillomavirus vaccine. BMC Medical Informatics Decis. Mak. 22(1): 339 (2022) - [c8]Kaiwen Xu, Riqiang Gao, Yucheng Tang, Steve A. Deppen, Kim L. Sandler, Michael N. Kammer, Sanja L. Antic, Fabien Maldonado, Yuankai Huo, Mirza S. Khan, Bennett A. Landman:
Extending the value of routine lung screening CT with quantitative body composition assessment. Image Processing 2022 - 2021
- [j4]Neil S. Zheng, Jeremy L. Warner, Travis J. Osterman, Quinn Stanton Wells, Xiao-Ou Shu, Stephen A. Deppen, Seth J. Karp, Shon Dwyer, QiPing Feng, Nancy J. Cox, Josh F. Peterson, C. Michael Stein, Dan M. Roden, Kevin B. Johnson, Wei-Qi Wei:
A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19. J. Biomed. Informatics 113: 103657 (2021) - [c7]Mirza S. Khan, Bennett A. Landman, Stephen A. Deppen, Michael E. Matheny:
Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports. AMIA 2021 - [c6]Mirza S. Khan, Kaiwen Xu, Stephen A. Deppen, Kim L. Sandler, Bennett A. Landman:
Image-based Phenotyping for Risk Stratification in the National Lung Screening Trial. AMIA 2021 - [c5]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman:
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. MICCAI (5) 2021: 647-656 - [c4]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman:
Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk. Image Processing 2021 - [c3]Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman:
Development and characterization of a chest CT atlas. Image Processing 2021 - [i6]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman:
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. CoRR abs/2107.11882 (2021) - [i5]Riqiang Gao, Mirza S. Khan, Yucheng Tang, Kaiwen Xu, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT. CoRR abs/2107.12842 (2021) - 2020
- [j3]Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Multi-path x-D recurrent neural networks for collaborative image classification. Neurocomputing 397: 48-59 (2020) - [j2]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Yuankai Huo, Shunxing Bao, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Time-distanced gates in long short-term memory networks. Medical Image Anal. 65: 101785 (2020) - [c2]Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Internal-transfer weighting of multi-task learning for lung cancer detection. Image Processing 2020: 1131323 - [i4]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman:
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk. CoRR abs/2010.09524 (2020) - [i3]Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman:
Development and Characterization of a Chest CT Atlas. CoRR abs/2012.03124 (2020)
2010 – 2019
- 2019
- [j1]Kristine E. Lynch, Stephen A. Deppen, Scott L. DuVall, Benjamin Viernes, Aize Cao, Daniel Park, Elizabeth Hanchrow, Kushan Hewa, Peter Greaves, Michael E. Matheny:
Incrementally Transforming Electronic Medical Records into the Observational Medical Outcomes Partnership Common Data Model: A Multidimensional Quality Assurance Approach. Appl. Clin. Inform. 10(05): 794-803 (2019) - [c1]Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. MLMI@MICCAI 2019: 310-318 - [i2]Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. CoRR abs/1909.05321 (2019) - [i1]Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection. CoRR abs/1912.07167 (2019)
Coauthor Index
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