Quantitative imaging features to predict cancer status in lung nodules. - Ying Liu; Yoganand Balagurunathan; Thomas Atwater; Sanja Antic; Qian Li; Ronald Walker; Gary T. Smith; Pierre P. Massion; Matthew B. Schabath; Robert J. Gillies (Image Perception, Observer Performance, and Technology Assessment, 2016)

Application of Structured and Directional Residuals for Fault Detection and Isolation on Permanent-Magnet DC Motor with Amplifier. - Sanja Antic; Zeljko Djurovic; Goran S. Kvascev (Qual. Reliab. Eng. Int., 2016)

Using computer for measurement and visualization of rotating magnetic field in AC machines. - Miroslav Bjekic; Marko Sucurovic; Milos Bozic; Marko Rosic; Sanja Antic (Comput. Appl. Eng. Educ., 2017)

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. - 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 (MLMI@MICCAI, 2019)

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

Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging. - Riqiang Gao; Lingfeng Li; Yucheng Tang; Sanja L. Antic; Alexis B. Paulson; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Image Processing, 2020)

Internal-transfer weighting of multi-task learning for lung cancer detection. - Yiyuan Yang; Riqiang Gao; Yucheng Tang; Sanja L. Antic; Steve Deppen; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Image Processing, 2020)

Multi-path x-D recurrent neural networks for collaborative image classification. - 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 (Neurocomputing, 2020)

Time-distanced gates in long short-term memory networks. - 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 (Medical Image Anal., 2020)

Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk. - 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 (Image Processing, 2021)

Improvements of torque ripple reduction in DTC IM drive with arbitrary number of voltage intensities and automatic algorithm modification. - Marko Rosic; Sanja Antic; Milan Z. Bebic (Turkish J. Electr. Eng. Comput. Sci., 2021)

Extending the value of routine lung screening CT with quantitative body composition assessment. - 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 (Image Processing, 2022)

Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. - 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; et al. (Comput. Biol. Medicine, 2022)

A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. - 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 (CoRR, 2022)

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. - 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; et al. (MICCAI (2), 2023)

Stratification of lung cancer risk with thoracic imaging phenotypes. - Kaiwen Xu; Mirza S. Khan; Thomas Z. Li; Riqiang Gao; Sanja L. Antic; Yuankai Huo; Kim L. Sandler; Fabien Maldonado; Bennett A. Landman (Image Processing, 2023)

Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective. - Kaiwen Xu; Thomas Z. Li; Mirza S. Khan; Riqiang Gao; Sanja L. Antic; Yuankai Huo; Kim L. Sandler; Fabien Maldonado; Bennett A. Landman (Medical Image Anal., 2023)