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Kim L. Sandler
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Journal Articles
- 2023
- [j6]Siru Liu, Allison B. McCoy, Melinda C. Aldrich, Kim L. Sandler, Thomas J. Reese, Bryan D. Steitz, Jiang Bian, Yonghui Wu, Elise M. Russo, Adam Wright:
Leveraging natural language processing to identify eligible lung cancer screening patients with the electronic health record. Int. J. Medical Informatics 177: 105136 (2023) - [j5]Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective. Medical Image Anal. 88: 102852 (2023) - 2022
- [j4]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) - [j3]Praitayini Kanakaraj, Karthik Ramadass, Shunxing Bao, Melissa A. Basford, Laura M. Jones, Ho Hin Lee, Kaiwen Xu, Kurt G. Schilling, John Jeffrey Carr, James G. Terry, Yuankai Huo, Kim L. Sandler, Allen T. Netwon, Bennett A. Landman:
Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment. J. Digit. Imaging 35(4): 1023-1033 (2022) - 2020
- [j2]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) - [j1]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)
Conference and Workshop Papers
- 2023
- [c13]Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko:
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. MICCAI (2) 2023: 649-659 - [c12]Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman:
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. Image Processing 2023 - [c11]Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Stratification of lung cancer risk with thoracic imaging phenotypes. Image Processing 2023 - 2022
- [c10]Lauren Hatcher, Allison B. McCoy, Hannah Marmor, Landon Fike, Kim L. Sandler:
Incomplete Smoking History Data Leads to Unknown Lung Cancer Screening Eligibility Status, and a Potential Solution. AMIA 2022 - [c9]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
- [c8]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 - [c7]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 - [c6]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 - [c5]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 - 2020
- [c4]Colin B. Hansen, Vishwesh Nath, Riqiang Gao, Camilo Bermudez, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Jeffrey D. Blume, Thomas A. Lasko, Bennett A. Landman:
Semi-supervised Machine Learning with MixMatch and Equivalence Classes. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 112-121 - [c3]Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging. Image Processing 2020: 113130D - [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 - 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
Informal and Other Publications
- 2023
- [i13]Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko:
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification. CoRR abs/2304.02836 (2023) - [i12]Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior. CoRR abs/2304.03760 (2023) - [i11]Aravind R. Krishnan, Kaiwen Xu, Thomas Z. Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Isgum, Bennett A. Landman:
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. CoRR abs/2309.12953 (2023) - 2022
- [i10]Riqiang Gao, Thomas Z. Li, Yucheng Tang, Zhoubing Xu, Michael N. Kammer, Sanja L. Antic, Kim L. Sandler, Fabien Maldonado, Thomas A. Lasko, Bennett A. Landman:
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. CoRR abs/2206.08833 (2022) - [i9]Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective. CoRR abs/2207.06551 (2022) - [i8]Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman:
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. CoRR abs/2209.01676 (2022) - 2021
- [i7]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) - [i6]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
- [i5]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) - [i4]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) - 2019
- [i3]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) - [i2]Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging. CoRR abs/1911.05115 (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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