Simple and effective ultrasound needle guidance system. - Laura J. Brattain; Caspar Floryan; Oliver P. Hauser; Michael Nguyen; Robert J. Yong; Samuel B. Kesner; Stephen B. Corn; Conor J. Walsh (EMBC, 2011)

Real-Time 4D Ultrasound Mosaicing and Visualization. - Laura J. Brattain; Robert D. Howe (MICCAI (1), 2011)

Enabling 3D Ultrasound Procedure Guidance through Enhanced Visualization. - Laura J. Brattain; Nikolay V. Vasilyev; Robert D. Howe (IPCAI, 2012)

Automated pointing of cardiac imaging catheters. - Paul M. Loschak; Laura J. Brattain; Robert D. Howe (ICRA, 2013)

Instrument Tracking and Visualization for Ultrasound Catheter Guided Procedures. - Laura J. Brattain; Paul M. Loschak; Cory M. Tschabrunn; Elad Anter; Robert D. Howe (AE-CAI, 2014)

Algorithms for Automated Pointing of Cardiac Imaging Catheters. - Paul M. Loschak; Laura J. Brattain; Robert D. Howe (CARE@MICCAI, 2014)

A multimodal sensor system for automated marmoset behavioral analysis. - Laura J. Brattain; Rogier Landman; Kerry A. Johnson; Patrick Chwalek; Julia Hyman; Jitendra Sharma; Charles Jennings; Robert Desimone; Guoping Feng; Thomas F. Quatieri (BSN, 2016)

Benchmarking SciDB data import on HPC systems. - Siddharth Samsi; Laura J. Brattain; William Arcand; David Bestor; Bill Bergeron; Chansup Byun; Vijay Gadepally; Matthew Hubbell; Michael Jones 001; Anna Klein; Peter Michaleas; Lauren Milechin; et al. (HPEC, 2016)

A Framework for Automated Marmoset Vocalization Detection and Classification. - Alan Wisler; Laura J. Brattain; Rogier Landman; Thomas F. Quatieri (INTERSPEECH, 2016)

Benchmarking SciDB Data Import on HPC Systems. - Siddharth Samsi; Laura J. Brattain; William Arcand; David Bestor; Bill Bergeron; Chansup Byun; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Michael Jones 001; Anna Klein; Peter Michaleas; et al. (CoRR, 2016)

A cloud-based brain connectivity analysis tool. - Laura J. Brattain; Mihnea Bulugioiu; Adam Brewster; Mark Hernandez; Heejin Choi; Taeyun Ku; Kwanghun Chung; Vijay Gadepally (HPEC, 2017)

Wireless Neck-Surface Accelerometer and Microphone on Flex Circuit with Application to Noise-Robust Monitoring of Lombard Speech. - Daryush D. Mehta; Patrick C. Chwalek; Thomas F. Quatieri; Laura J. Brattain (INTERSPEECH, 2017)

Automated dense neuronal fiber tracing and connectivity mapping at cellular level. - Laura J. Brattain; Brian A. Telfer; Siddharth Samsi; Taeyun Ku; Heejin Choi; Kwanghun Chung (ISBI, 2017)

Algorithms for Automatically Pointing Ultrasound Imaging Catheters. - Paul M. Loschak; Laura J. Brattain; Robert D. Howe (IEEE Trans. Robotics, 2017)

Lightweight, on-body, wireless system for ambulatory voice and ambient noise monitoring. - Patrick C. Chwalek; Daryush D. Mehta; Brendon Welsh; Catherine Wooten; Kate Byrd; Edward Froehlich; David Maurer; Joseph Lacirignola; Thomas F. Quatieri; Laura J. Brattain (BSN, 2018)

Objective Liver Fibrosis Estimation from Shear Wave Elastography. - Laura J. Brattain; Brian A. Telfer; Manish Dhyani; Joseph R. Grajo; Anthony E. Samir (EMBC, 2018)

Detecting Intracranial Hemorrhage with Deep Learning. - Arjun Majumdar; Laura J. Brattain; Brian A. Telfer; Chad Farris; Jonathan Scalera (EMBC, 2018)

Learning-based long-range axon tracing in dense scenes. - Mark Hernandez; Adam Brewster; Larry Thul; Brian A. Telfer; Arjun Majumdar; Heejin Choi; Taeyun Ku; Kwanghun Chung; Laura J. Brattain (ISBI, 2018)

On-Body Monitoring of Voice-Based Cognitive Load Features in an Auditory Working Memory Task. - Daryush D. Mehta; Rohan Deshpande; Luke Letter; Edward Froehlich; Andrew M. Siegel; Thomas F. Quatieri; Laura J. Brattain (BSN, 2019)

Deep Learning-Based Automatic Endometrium Segmentation and Thickness Measurement for 2D Transvaginal Ultrasound. - Szu-Yeu Hu; Hong Xu; Qian Li 032; Brian A. Telfer; Laura J. Brattain; Anthony E. Samir (EMBC, 2019)

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)

Self-Supervised Feature Extraction for 3D Axon Segmentation. - Tzofi Klinghoffer; Peter Morales; Young-Gyun Park; Nicholas Evans; Kwanghun Chung; Laura J. Brattain (CVPR Workshops, 2020)

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)

Developing a Series of AI Challenges for the United States Department of the Air Force. - Vijay Gadepally; Gregory Angelides; Andrei Barbu; Andrew Bowne; Laura J. Brattain; Tamara Broderick; Armando Cabrera; Glenn Carl; Ronisha Carter; Miriam Cha; Emilie Cowen; Jesse Cummings; et al. (CoRR, 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)

Efficient Deep Learning on Wearable Physiological Sensor Data for Pilot Flight Performance Analysis. - Patrick W. Moore; Hrishikesh M. Rao; Christine Beauchene; Emilie Cowen; Sophia Yuditskaya; Thomas Heldt; 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)

Fatigue Assessment from Facial Videos using Deep Neural Networks and Engineered Features Informed by Domain Knowledge. - Luke Kenworthy; Patrick W. Moore; Hrishikesh M. Rao; Laura J. Brattain; Kevin James; Thomas Heldt (EMBC, 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)

Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series. - Noah Lee; Patrick W. Moore; Laura J. Brattain (HPEC, 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)

Zero-Shot Forecasting for ECG Time Series Data Using Generative Foundation Models. - Mahad Ali; Patrick W. Moore; Tammer Barkouki; Laura J. Brattain (BSN, 2024)

ULTRA-AIR: Ultrasound Landmark Tracking for Real-Time Anatomical Airway Identification and Reliability Check. - Zahra Khodagholi; Jasmine Sun; Nour Awad; Amulya Vankayalapati; Gregory R. Dion; Laura J. Brattain (BSN, 2024)

Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging. - Eung-Joo Lee; Vivek Kumar Singh 008; Elham Yousef Kalafi; Peng Guo; Arinc Ozturk; Theodore T. Pierce; Brian A. Telfer; Anthony E. Samir; Laura J. Brattain (CLIP@MICCAI, 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)

Point Cloud Context Analysis for Rehabilitation Grasping Assistance. - Jackson M. Steinkamp; Laura J. Brattain; Conor J. Walsh; Robert D. Howe (CoRR, 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)

Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting. - Mahad Ali; Curtis Lisle; Patrick W. Moore; Tammer Barkouki; Brian J. Kirkwood; Laura J. Brattain (CoRR, 2025)

Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions. - Gulsah Hancerliogullari Koksalmis; Bulent Soykan; Laura J. Brattain; Hsin-Hsiung Huang (CoRR, 2025)

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection. - Manikanta Varaganti; Amulya Vankayalapati; Nour Awad; Gregory R. Dion; Laura J. Brattain (CoRR, 2025)