Steve Deppen - RankMe

12 papers B 3Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2021	B	`conf`	Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk. Image Processing 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
2021	B	`conf`	Development and characterization of a chest CT atlas. Image Processing 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
2021	—	`conf`	Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. MICCAI (5) 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
2021	J	`jnl`	Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. CoRR 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
2021	J	`jnl`	Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT. CoRR Riqiang Gao, Mirza S. Khan, Yucheng Tang, Kaiwen Xu, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2020	J	`jnl`	Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk. CoRR 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
2020	B	`conf`	Internal-transfer weighting of multi-task learning for lung cancer detection. Image Processing Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2020	J	`jnl`	Multi-path x-D recurrent neural networks for collaborative image classification. Neurocomputing 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
2020	J	`jnl`	Time-distanced gates in long short-term memory networks. Medical Image Anal. 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
2019	—	`conf`	Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. MLMI@MICCAI 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
2019	J	`jnl`	Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. CoRR 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
2019	J	`jnl`	Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection. CoRR Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman