Metal Artifact Reduction in CT: Where Are We After Four Decades? - Lars Gjesteby; Bruno De Man; Yannan Jin; Harald Paganetti; Joost Verburg; Drosoula Giantsoudi; Ge Wang 001 (IEEE Access, 2016)

Bibliometric Index for Academic Leadership. - Yang Liu 086; Fengrong Ou; Yan Deng; Bo Wu 022; Ruxi Liu; Hui Hua; Yuyuan Guan; Rentong Chen; Lars Gjesteby; Jiansheng Yang; Michael W. Vannier; Ge Wang 001 (CoRR, 2016)

Hybrid Imaging System for Simultaneous Spiral MR and X-ray (MRX) Scans. - Lars Gjesteby; Yan Xi; Mannudeep K. Kalra; Qingsong Yang; Ge Wang 001 (IEEE Access, 2017)

E-Index - A Bibliometric Index of Research Efficiency. - Bo Wu 022; Fengrong Ou; Yan Deng; Ruxi Liu; Hui Hua; Rentong Chen; Yuyuan Guan; Dan Yang; Lars Gjesteby; Jiansheng Yang; Michael W. Vannier; Ge Wang 001; et al. (IEEE Access, 2018)

Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising. - Chenyu You; Qingsong Yang; Hongming Shan; Lars Gjesteby; Guang Li 011; Shenghong Ju; Zhuiyang Zhang; Zhen Zhao 003; Yi Zhang 018; Wenxiang Cong; Ge Wang 001 (IEEE Access, 2018)

Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising. - Chenyu You; Qingsong Yang; Hongming Shan; Lars Gjesteby; Guang Li 011; Shenghong Ju; Zhuiyang Zhang; Zhen Zhao 003; Yi Zhang 018; Wenxiang Cong; Ge Wang 001 (CoRR, 2018)

Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue. - Pooya Khorrami; Kevin Brady 001; Mark Hernandez; Lars Gjesteby; Sara N. Burke; Damon G. Lamb; Matthew A. Melton; Kevin J. Otto; Laura J. Brattain (HPEC, 2019)

Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment. - 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; et al. (HPEC, 2020)

Instance Segmentation of Neuronal Nuclei Leveraging Domain Adaptation. - Kevin Brady 001; Pooya Khorrami; Lars Gjesteby; Laura J. Brattain (HPEC, 2021)

Annotation-Efficient 3d U-Nets For Brain Plasticity Network Mapping. - Lars A. Gjesteby; Tzofi Klinghoffer; Meagan Ash; Matthew A. Melton; Kevin J. Otto; Damon G. Lamb; Sara N. Burke; Laura J. Brattain (ISBI, 2021)

Transfer Learning for Automated COVID-19 B-Line Classification in Lung Ultrasound. - Joseph R. Pare; Lars A. Gjesteby; Brian A. Telfer; Melinda M. Tonelli; Megan M. Leo; Ehab Billatos; Jonathan Scalera; Laura J. Brattain (EMBC, 2022)

Axon Tracing and Centerline Detection using Topologically-Aware 3D U-Nets. - Dylan Pollack; Lars A. Gjesteby; Michael Snyder 001; David Chavez; Lee Kamentsky; Kwanghun Chung; Laura J. Brattain (EMBC, 2022)

A Scalable Inference Pipeline for 3D Axon Tracing Algorithms. - Benjamin Fenelon; Lars A. Gjesteby; Webster Guan; Juhyuk Park; Kwanghun Chung; Laura J. Brattain (HPEC, 2022)

Optimizing MobileNet Algorithms for Real-time Vessel Detection on Smartphones. - Lars A. Gjesteby; Ellie Haber; Shoyo Hakozaki; Alec S. Xu; Nancy DeLosa; Benjamin W. Roop; Joshua Werblin; Brian A. Telfer; Laura J. Brattain (BSN, 2023)

Self-Supervised Learning for Ultrasound Probe Angle Prediction in Plantar Fascia Images. - Benjamin W. Roop; Kevin J. Brady 001; Lars A. Gjesteby; Brian S. Baum; Laura J. Brattain (BSN, 2023)

Individualized Ultrasound-Guided Intervention Phantom Development, Fabrication, and Proof of Concept. - Theodore T. Pierce; Mark P. Ottensmeyer; Avik Som; Laura J. Brattain; Joshua S. Werblin; Patrick D. Sutphin; Scott J. Schoen; Matthew R. Johnson 005; Lars Gjesteby; Brian A. Telfer; Anthony E. Samir (EMBC, 2023)

Self-Supervised Learning to Improve Topology-Optimized Axon Segmentation and Centerline Detection. - Nina I. Shamsi; Lars A. Gjesteby; David Chavez; Michael Snyder 001; Brian S. Eastwood; Matthew G. Fay; Nathan J. O'Connor; Jack R. Glaser; Charles R. Gerfen; Laura J. Brattain (ISBI, 2023)

Mobile-Optimized Real-Time Vessel Detection for Ultrasound-Guided Surgical Procedures. - Mateusz Wolak; Fin Amin; Nancy DeLosa; Brian A. Telfer; Benjamin W. Roop; Lars Gjesteby (HPEC, 2024)

Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS). - Nina I. Shamsi; Alec S. Xu; Lars A. Gjesteby; Laura J. Brattain (WACV, 2024)

Self-Supervised Edge Detection Reconstruction for Topology-Informed 3D Axon Segmentation and Centerline Detection. - Alec S. Xu; Nina I. Shamsi; Lars A. Gjesteby; Laura J. Brattain (WACV, 2024)

Topology-Preserving Deep Supervision for 3D Axon Centerline Segmentation Using Partially Annotated Data. - Roshan Kenia; Fin Amin; Benjamin W. Roop; Laura J. Brattain; Brian S. Eastwood; Matthew G. Fay; Charles R. Gerfen; Jacob R. Glaser; Lars A. Gjesteby (ISBI, 2025)