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Publication search results
found 24 matches
- 2024
- Pengxin Yu, Haoyue Zhang, Dawei Wang, Rongguo Zhang, Mei Deng, Haoyu Yang, Lijun Wu, Xiaoxu Liu, Andrea Oh, Fereidoun Abtin, Ashley Prosper, Kathleen Ruchalski, Nana Wang, Huairong Zhang, Ye Li, Xinna Lv, Min Liu, Shaohong Zhao, Dasheng Li, John M. Hoffman, Denise R. Aberle, Chaoyang Liang, Shouliang Qi, Corey W. Arnold:
Spatial resolution enhancement using deep learning improves chest disease diagnosis based on thick slice CT. npj Digit. Medicine 7(1) (2024) - Yufei Zhou, Xutong Liu, Zhaoqiang Guo, Yuming Zhou, Corey Zhang, Junyan Qian:
Deep learning or classical machine learning? An empirical study on line-level software defect prediction. J. Softw. Evol. Process. 36(10) (2024) - 2023
- Yue Mei, Xuan Feng, Yun Jin, Rongyao Kang, XinYu Wang, Dongmei Zhao, Soham Ghosh, Corey P. Neu, Stephane Avril:
Cell nucleus elastography with the adjoint-based inverse solver. Comput. Methods Programs Biomed. 242: 107827 (2023) - Paul D. S. Fink, Stacy A. Doore, Xue Lin, Matthew Maring, Pu Zhao, Aubree Nygaard, Grant Beals, Richard R. Corey, Raymond J. Perry, Katherine Freund, Velin Dimitrov, Nicholas A. Giudice:
The Autonomous Vehicle Assistant (AVA): Emerging technology design supporting blind and visually impaired travelers in autonomous transportation. Int. J. Hum. Comput. Stud. 179: 103125 (2023) - Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lu, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling. Medical Image Anal. 90: 102957 (2023) - Corey Zhao, Emma Chen, Tsute Chen:
Deep Learning Classification of Caries Based on DNA Sequences Transformed by Chaos Game Representation. BIBM 2023: 4996-4998 - Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. CoRR abs/2303.05745 (2023) - 2022
- Yuan An, Jane Greenberg, Xiaohua Hu, Alexander Kalinowski, Xiao Fang, Xintong Zhao, Scott McClellan, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas, Katherine Ardila, Semion Saikin, Corey A. Harper, Ron Daniel Jr.:
Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs). IEEE Big Data 2022: 3651-3658 - Qingya Zhao, Zhuo Chen, Corey D. Landis, Ashley Lytle, Ashwini K. Rao, Yi Guo, Damiano Zanotto:
Gait Analysis with an Integrated Mobile Robot and Wearable Sensor System Reveals Associations Between Cognitive Ability and Dynamic Balance in Older Adults. BioRob 2022: 1-6 - Sean Grullon, Vaughn Spurrier, Jiayi Zhao, Corey Chivers, Yang Jiang, Kiran Motaparthi, Jason B. Lee, Michael J. Bonham, Julianna D. Ianni:
Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance Regression. ECCV Workshops (7) 2022: 442-456 - Diana Gómez, Haohong Lin, Peide Huang, Corey Harper, Ding Zhao:
Coalitional Fairness of Autonomous Vehicles at a T-Intersection. ITSC 2022: 2536-2541 - Yuji Zhao, Max A. Laansma, Eva M. van Heese, Conor Owens-Walton, Laura M. Parkes, Ines Debove, Christian Rummel, Roland Wiest, Fernando Cendes, Rachel Guimaraes, Clarissa Lin Yasuda, Jiun-Jie Wang, Tim J. Anderson, John C. Dalrymple-Alford, Tracy R. Melzer, Toni L. Pitcher, Reinhold Schmidt, Petra Schwingenschuh, Gaëtan Garraux, Mario Rango, Letizia Squarcina, Sarah Al-Bachari, Hedley C. A. Emsley, Johannes C. Klein, Clare E. Mackay, Michiel F. Dirkx, Rick C. Helmich, Francesca Assogna, Fabrizio Piras, Joanna K. Bright, Gianfranco Spalletta, Kathleen Poston, Christine Lochner, Corey T. McMillan, Daniel Weintraub, Jason Druzgal, Benjamin Newman, Odile A. van den Heuvel, Neda Jahanshad, Paul M. Thompson, Ysbrand D. van der Werf, Boris Gutman:
Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. MLCN@MICCAI 2022: 115-124 - Jiazhao Li, Corey A. Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran:
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions. CoRR abs/2204.03830 (2022) - Sean Grullon, Vaughn Spurrier, Jiayi Zhao, Corey Chivers, Yang Jiang, Kiran Motaparthi, Michael J. Bonham, Julianna D. Ianni:
Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression. CoRR abs/2210.04803 (2022) - 2020
- Jiazhao Li, Corey A. Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran:
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions. EMNLP (Findings) 2020: 2785-2796 - Kimberly Conner, Corey Webel, Wenmin Zhao:
Using Online Simulations to Support Elementary Preservice Teachers' Questioning Practices in Mathematics Classrooms. ICLS 2020 - Xudong Huang, Wanli Xing, Henglv Zhao, Jie Chao, Corey Schimpf, Guanhua Chen, Charles Xie:
Understanding Science Learning Through Writings on Engineering Design. ICLS 2020 - 2019
- Corey Brummel-Smith, Greg Bryan, Iryna Butsky, Lauren Corlies, Andrew Emerick, John Forbes, Yusuke Fujimoto, Nathan J. Goldbaum, Philipp Grete, Cameron Hummels, Ji-hoon Kim, Daegene Koh, Miao Li, Yuan Li, Xinyu Li, Brian W. O'Shea, Molly Peeples, John Regan, Munier Salem, Wolfram Schmidt, Christine Simpson, Britton Smith, Jason Tumlinson, Matthew J. Turk, John H. Wise, Tom Abel, James Bordner, Renyue Cen, David Collins, Brian Crosby, Philipp V. F. Edelmann, Oliver Hahn, Robert Harkness, Elizabeth Harper-Clark, Shuo Kong, Alexei G. Kritsuk, Michael Kuhlen, James Larrue, Eve Lee, Greg Meece, Michael L. Norman, Jeffrey S. Oishi, Pascal Paschos, Carolyn Peruta, Alex Razoumov, Daniel R. Reynolds, Devin Silvia, Samuel W. Skillman, Stephen Skory, Geoffrey So, Elizabeth J. Tasker, Rick Wagner, Peng Wang, Hao Xu, Fen Zhao:
ENZO: An Adaptive Mesh Refinement Code for Astrophysics (Version 2.6). J. Open Source Softw. 4(42): 1636 (2019) - 2018
- Nathan Ing, Zhaoxuan Ma, Jiayun Li, Hootan Salemi, Corey W. Arnold, Beatrice S. Knudsen, Arkadiusz Gertych:
Semantic segmentation for prostate cancer grading by convolutional neural networks. Digital Pathology 2018: 105811B - Wenyuan Li, Yunlong Wang, Yong Cai, Corey W. Arnold, Emily Zhao, Yilian Yuan:
Semi-supervised Rare Disease Detection Using Generative Adversarial Network. CoRR abs/1812.00547 (2018) - 2016
- Xuan Zhao, Corey J. Cusimano, Bertram F. Malle:
Do People Spontaneously Take a Robot's Visual Perspective? HRI 2016: 335-342 - 2015
- Xuan Zhao, Corey J. Cusimano, Bertram F. Malle:
In Search of Triggering Conditions for Spontaneous Visual Perspective Taking. CogSci 2015 - Xuan Zhao, Corey J. Cusimano, Bertram F. Malle:
Do People Spontaneously Take a Robot's Visual Perspective? HRI (Extended Abstracts) 2015: 133-134 - 2012
- Ryan Johnson, Zhaohui Wang, Corey Gagnon, Angelos Stavrou:
Analysis of Android Applications' Permissions. SERE (Companion) 2012: 45-46
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