Sanja L. Antic

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Prognostic Factors

Top Venues

Medical Imaging: Image Processing

Medical Image Anal.

Publications

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 (2023)
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. Medical Imaging: Image Processing (2023)
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 (2022)
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 (2022)
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. Medical Imaging: Image Processing (2022)
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 (2022)
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. Medical Imaging: Image Processing (2021)
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 (2020)
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 (2020)
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. Medical Imaging: Image Processing (2020)
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 (2020)
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. Medical Imaging: Image Processing (2020)
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 (2019)
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 (2019)
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)
Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman
Lung cancer detection using co-learning from chest CT images and clinical demographics. Medical Imaging: Image Processing (2019)
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 (2019)