Pierre P. Massion

24 papers B 6Misc 2Journal 11Unranked 5

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	B	`conf`	Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scans. Image Processing Can Luo, James G. Terry, Yucheng Tang, Kaiwen Xu, Pierre P. Massion, Bennett A. Landman, Jeffrey Carr, Yuankai Huo
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`	Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging. Image Processing Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2020	J	`jnl`	Development and Characterization of a Chest CT Atlas. CoRR 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
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	—	`conf`	Semi-supervised Machine Learning with MixMatch and Equivalence Classes. iMIMIC/MIL3ID/LABELS@MICCAI 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
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	J	`jnl`	Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging. CoRR Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, 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
2019	J	`jnl`	Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics. CoRR Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja Antic, Travis Osterman, Pierre P. Massion, Bennett A. Landman
2019	B	`conf`	Lung cancer detection using co-learning from chest CT images and clinical demographics. Image Processing Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman
2016	—	`conf`	Quantitative imaging features to predict cancer status in lung nodules. Image Perception, Observer Performance, and Technology Assessment Ying Liu, Yoganand Balagurunathan, Thomas Atwater, Sanja Antic, Qian Li, Ronald Walker, Gary T. Smith, Pierre P. Massion, Matthew B. Schabath, Robert J. Gillies
2013	J	`jnl`	Co-expression network analysis identifies Spleen Tyrosine Kinase (SYK) as a candidate oncogenic driver in a subset of small-cell lung cancer. BMC Syst. Biol. Akshata R. Udyavar, Megan D. Hoeksema, Jonathan E. Clark, Yong Zou, Zuojian Tang, Zhiguo Li, Ming Li, Heidi Chen, Alexander R. Statnikov, Yu Shyr, Daniel C. Liebler, John K. Field, Rosana Eisenberg, Lourdes Estrada, Pierre P. Massion, Vito Quaranta
2003	Misc	`conf`	Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data. FLAIRS Constantin F. Aliferis, Ioannis Tsamardinos, Pierre P. Massion, Alexander R. Statnikov, Nafeh Fananapazir, Douglas P. Hardin
2003	—	`conf`	Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors. METMBS Constantin F. Aliferis, Ioannis Tsamardinos, Pierre P. Massion, Alexander R. Statnikov, Douglas P. Hardin
2002	Misc	`conf`	Machine learning models for lung cancer classification using array comparative genomic hybridization. AMIA Constantin F. Aliferis, Douglas P. Hardin, Pierre P. Massion