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Published in Machine Learning: Science and Technology, 2020
Recommended citation: Muhammed Shuaibi, Saurabh Sivakumar, Rui Qi Chen, and Zachary W. Ulissi. Enabling robust offline active learning for machine learning potentials using simple physics-based priors. Machine Learning: Science and Technology 2020
Published in Journal of Open Source Software, 2023
Recommended citation: Muhammed Shuaibi, Yuge Hu, Xiangyun Lei, Benjamin M. Comer, Matt Adams, Jacob Paras, Rui Qi Chen, Eric Musa, Joseph Musielewicz, Andrew A. Peterson, Andrew J. Medford, and Zachary Ulissi. AmpTorch: A Python package for scalable fingerprint-based neural network training on multi-element systems with integrated uncertainty quantification. JOSS 2023
Published in Cytotherapy, 2023
Recommended citation: Rui Qi Chen, Benjamin Joffe, Paloma Casteleiro Costa, Caroline Filan, Bryan Wang, Stephen Balakirsky, Francisco Robles, Krishnendu Roy, and Jing Li. Real-time semantic segmentation and anomaly detection of functional images for cell therapy manufacturing. Cytotherapy 2023
Published in Cytotherapy, 2024
Recommended citation: Bryan Wang, Rui Qi Chen, Jing Li, and Krishnendu Roy. Interfacing data science with cell therapy manufacturing: Where we are and where we need to be. Cytotherapy 2024
Published in Journal of Endodontics, 2024
Recommended citation: Rui Qi Chen, Yeonju Lee, Hao Yan, Muralidhar Mupparapu, Fleming Lure, Jing Li, and Frank C. Setzer. Leveraging pre-trained transformers for efficient segmentation and lesion detection in cone-beam CT scans. Journal of Endodontics 2024
Published in IEEE Transactions on Automation Science and Engineering, 2025
Recommended citation: Yeonju Lee, Min Gu Kwak, Rui Qi Chen, Hao Yan, Muralidhar Mupparapu, Fleming Lure, Frank C. Setzer, and Jing Li. Oral-anatomical knowledge-informed semi-supervised learning for 3D dental CBCT segmentation and lesion detection. IEEE T-ASE 2025
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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