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Journal Articles
- 2018
[j4]Chenyu You
, Qingsong Yang, Hongming Shan, Lars Gjesteby, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang, Wenxiang Cong, Ge Wang:
Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising. IEEE Access 6: 41839-41855 (2018)- [j3]Bo Wu, Fengrong Ou, Yan Deng, Ruxi Liu, Hui Hua, Rentong Chen, Yuyuan Guan, Dan Yang, Lars Gjesteby, Jiansheng Yang, Michael W. Vannier, Ge Wang, Yang Liu:
E-Index - A Bibliometric Index of Research Efficiency. IEEE Access 6: 51355-51364 (2018) - 2017
- [j2]Lars Gjesteby, Yan Xi, Mannudeep K. Kalra, Qingsong Yang, Ge Wang:
Hybrid Imaging System for Simultaneous Spiral MR and X-ray (MRX) Scans. IEEE Access 5: 1050-1061 (2017) - 2016
- [j1]Lars Gjesteby, Bruno De Man, Yannan Jin, Harald Paganetti, Joost Verburg, Drosoula Giantsoudi, Ge Wang:
Metal Artifact Reduction in CT: Where Are We After Four Decades? IEEE Access 4: 5826-5849 (2016)
Conference and Workshop Papers
- 2024
- [c13]Alec S. Xu, Nina I. Shamsi, Lars A. Gjesteby, Laura J. Brattain:
Self-Supervised Edge Detection Reconstruction for Topology-Informed 3D Axon Segmentation and Centerline Detection. WACV 2024: 7816-7824 - [c12]Nina I. Shamsi, Alec S. Xu, Lars A. Gjesteby, Laura J. Brattain:
Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS). WACV 2024: 7990-7999 - 2023
- [c11]Lars A. Gjesteby, Ellie Haber, Shoyo Hakozaki, Alec S. Xu, Nancy DeLosa, Benjamin W. Roop, Joshua Werblin, Brian A. Telfer, Laura J. Brattain:
Optimizing MobileNet Algorithms for Real-time Vessel Detection on Smartphones. BSN 2023: 1-4 - [c10]Benjamin W. Roop, Kevin J. Brady, Lars A. Gjesteby, Brian S. Baum, Laura J. Brattain:
Self-Supervised Learning for Ultrasound Probe Angle Prediction in Plantar Fascia Images. BSN 2023: 1-6 - [c9]Theodore T. Pierce, Mark P. Ottensmeyer, Avik Som, Laura J. Brattain, Joshua S. Werblin, Patrick D. Sutphin, Scott J. Schoen, Matthew R. Johnson, Lars Gjesteby, Brian A. Telfer, Anthony E. Samir:
Individualized Ultrasound-Guided Intervention Phantom Development, Fabrication, and Proof of Concept. EMBC 2023: 1-4 - [c8]Nina I. Shamsi, Lars A. Gjesteby, David Chavez, Michael Snyder, Brian S. Eastwood, Matthew G. Fay, Nathan J. O'Connor, Jack R. Glaser, Charles R. Gerfen, Laura J. Brattain:
Self-Supervised Learning to Improve Topology-Optimized Axon Segmentation and Centerline Detection. ISBI 2023: 1-4 - 2022
- [c7]Dylan Pollack, Lars A. Gjesteby, Michael Snyder, David Chavez, Lee Kamentsky, Kwanghun Chung, Laura J. Brattain:
Axon Tracing and Centerline Detection using Topologically-Aware 3D U-Nets. EMBC 2022: 238-242 - [c6]Joseph R. Pare, Lars A. Gjesteby, Brian A. Telfer, Melinda M. Tonelli, Megan M. Leo, Ehab Billatos, Jonathan Scalera, Laura J. Brattain:
Transfer Learning for Automated COVID-19 B-Line Classification in Lung Ultrasound. EMBC 2022: 1675-1681 - [c5]Benjamin Fenelon, Lars A. Gjesteby, Webster Guan, Juhyuk Park, Kwanghun Chung, Laura J. Brattain:
A Scalable Inference Pipeline for 3D Axon Tracing Algorithms. HPEC 2022: 1-6 - 2021
- [c4]Kevin Brady, Pooya Khorrami, Lars Gjesteby, Laura J. Brattain:
Instance Segmentation of Neuronal Nuclei Leveraging Domain Adaptation. HPEC 2021: 1-5 - [c3]Lars A. Gjesteby, Tzofi Klinghoffer, Meagan Ash, Matthew A. Melton, Kevin J. Otto, Damon G. Lamb, Sara N. Burke, Laura J. Brattain:
Annotation-Efficient 3d U-Nets For Brain Plasticity Network Mapping. ISBI 2021: 1373-1377 - 2020
- [c2]Adam Michaleas, Lars Gjesteby, Michael P. Snyder, David Chavez, Meagan Ash, Matthew A. Melton, Damon G. Lamb, Sara N. Burke, Kevin J. Otto, Lee Kamentsky, Webster Guan, Kwanghun Chung, Laura J. Brattain:
Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment. HPEC 2020: 1-6 - 2019
- [c1]Pooya Khorrami, Kevin Brady, Mark Hernandez, Lars Gjesteby, Sara N. Burke, Damon G. Lamb, Matthew A. Melton, Kevin J. Otto, Laura J. Brattain:
Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue. HPEC 2019: 1-2
Informal and Other Publications
- 2018
- [i2]Chenyu You, Qingsong Yang, Hongming Shan, Lars Gjesteby, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang, Wenxiang Cong, Ge Wang:
Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising. CoRR abs/1805.00587 (2018) - 2016
- [i1]Yang Liu, Fengrong Ou, Yan Deng, Bo Wu, Ruxi Liu, Hui Hua, Yuyuan Guan, Rentong Chen, Lars Gjesteby, Jiansheng Yang, Michael W. Vannier, Ge Wang:
Bibliometric Index for Academic Leadership. CoRR abs/1610.03706 (2016)
Coauthor Index
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