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Laura J. Brattain

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2020 – today

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2024
[c36]
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Eung-Joo Lee, Vivek Kumar Singh, Elham Yousef Kalafi, Peng Guo, Arinc Ozturk, Theodore T. Pierce, Brian A. Telfer, Anthony E. Samir, Laura J. Brattain:
Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging. CLIP@MICCAI 2024: 73-82
[c35]
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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
[c34]
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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
[c33]
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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
[c32]
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Patrick W. Moore, Hrishikesh M. Rao, Christine Beauchene, Emilie Cowen, Sophia Yuditskaya, Thomas Heldt, Laura J. Brattain:
Efficient Deep Learning on Wearable Physiological Sensor Data for Pilot Flight Performance Analysis. BSN 2023: 1-6
[c31]
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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
[c30]
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  - conf/embc/KenworthyMRBJH23
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Luke Kenworthy, Patrick W. Moore, Hrishikesh M. Rao, Laura J. Brattain, Kevin James, Thomas Heldt:
Fatigue Assessment from Facial Videos using Deep Neural Networks and Engineered Features Informed by Domain Knowledge. EMBC 2023: 1-5
[c29]
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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
[c28]
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Noah Lee, Patrick W. Moore, Laura J. Brattain:
Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series. HPEC 2023: 1-6
[c27]
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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
[c26]
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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
[c25]
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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
[c24]
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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
[i3]
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  - journals/corr/abs-2207-07033
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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, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner:
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR abs/2207.07033 (2022)
2021
[c23]
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Kevin Brady, Pooya Khorrami, Lars Gjesteby, Laura J. Brattain:
Instance Segmentation of Neuronal Nuclei Leveraging Domain Adaptation. HPEC 2021: 1-5
[c22]
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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
[c21]
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  - conf/cvpr/KlinghofferMPEC20
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Tzofi Klinghoffer, Peter Morales, Young-Gyun Park, Nicholas Evans, Kwanghun Chung, Laura J. Brattain:
Self-Supervised Feature Extraction for 3D Axon Segmentation. CVPR Workshops 2020: 4213-4219
[c20]
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  - conf/hpec/MichaleasGSCAML20
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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
[i2]
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  - journals/corr/abs-2004-09629
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Tzofi Klinghoffer, Peter Morales, Young-Gyun Park, Nicholas Evans, Kwanghun Chung, Laura J. Brattain:
Self-Supervised Feature Extraction for 3D Axon Segmentation. CoRR abs/2004.09629 (2020)

2010 – 2019

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2019
[c19]
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Daryush D. Mehta, Rohan Deshpande, Luke Letter, Edward Froehlich, Andrew M. Siegel, Thomas F. Quatieri, Laura J. Brattain:
On-Body Monitoring of Voice-Based Cognitive Load Features in an Auditory Working Memory Task. BSN 2019: 1-4
[c18]
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  - conf/embc/HuXLTBS19
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Szu-Yeu Hu, Hong Xu, Qian Li, Brian A. Telfer, Laura J. Brattain, Anthony E. Samir:
Deep Learning-Based Automatic Endometrium Segmentation and Thickness Measurement for 2D Transvaginal Ultrasound. EMBC 2019: 993-997
[c17]
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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
2018
[c16]
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Patrick C. Chwalek, Daryush D. Mehta, Brendon Welsh, Catherine Wooten, Kate Byrd, Edward Froehlich, David Maurer, Joseph Lacirignola, Thomas F. Quatieri, Laura J. Brattain:
Lightweight, on-body, wireless system for ambulatory voice and ambient noise monitoring. BSN 2018: 205-209
[c15]
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Laura J. Brattain, Brian A. Telfer, Manish Dhyani, Joseph R. Grajo, Anthony E. Samir:
Objective Liver Fibrosis Estimation from Shear Wave Elastography. EMBC 2018: 1-5
[c14]
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Arjun Majumdar, Laura J. Brattain, Brian A. Telfer, Chad Farris, Jonathan Scalera:
Detecting Intracranial Hemorrhage with Deep Learning. EMBC 2018: 583-587
[c13]
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Mark Hernandez, Adam Brewster, Larry Thul, Brian A. Telfer, Arjun Majumdar, Heejin Choi, Taeyun Ku, Kwanghun Chung, Laura J. Brattain:
Learning-based long-range axon tracing in dense scenes. ISBI 2018: 1578-1582
2017
[j1]
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  - journals/trob/LoschakBH17
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Paul M. Loschak, Laura J. Brattain, Robert D. Howe:
Algorithms for Automatically Pointing Ultrasound Imaging Catheters. IEEE Trans. Robotics 33(1): 81-91 (2017)
[c12]
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Laura J. Brattain, Mihnea Bulugioiu, Adam Brewster, Mark Hernandez, Heejin Choi, Taeyun Ku, Kwanghun Chung, Vijay Gadepally:
A cloud-based brain connectivity analysis tool. HPEC 2017: 1-6
[c11]
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  - conf/interspeech/MehtaCQB17
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Daryush D. Mehta, Patrick C. Chwalek, Thomas F. Quatieri, Laura J. Brattain:
Wireless Neck-Surface Accelerometer and Microphone on Flex Circuit with Application to Noise-Robust Monitoring of Lombard Speech. INTERSPEECH 2017: 684-688
[c10]
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Laura J. Brattain, Brian A. Telfer, Siddharth Samsi, Taeyun Ku, Heejin Choi, Kwanghun Chung:
Automated dense neuronal fiber tracing and connectivity mapping at cellular level. ISBI 2017: 332-336
2016
[c9]
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Laura J. Brattain, Rogier Landman, Kerry A. Johnson, Patrick Chwalek, Julia Hyman, Jitendra Sharma, Charles Jennings, Robert Desimone, Guoping Feng, Thomas F. Quatieri:
A multimodal sensor system for automated marmoset behavioral analysis. BSN 2016: 254-259
[c8]
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Siddharth Samsi, Laura J. Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther:
Benchmarking SciDB data import on HPC systems. HPEC 2016: 1-5
[c7]
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  - conf/interspeech/WislerBLQ16
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Alan Wisler, Laura J. Brattain, Rogier Landman, Thomas F. Quatieri:
A Framework for Automated Marmoset Vocalization Detection and Classification. INTERSPEECH 2016: 2592-2596
[i1]
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Siddharth Samsi, Laura J. Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther:
Benchmarking SciDB Data Import on HPC Systems. CoRR abs/1609.07545 (2016)
2014
[c6]
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Laura J. Brattain, Paul M. Loschak, Cory M. Tschabrunn, Elad Anter, Robert D. Howe:
Instrument Tracking and Visualization for Ultrasound Catheter Guided Procedures. AE-CAI 2014: 41-50
[c5]
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Paul M. Loschak, Laura J. Brattain, Robert D. Howe:
Algorithms for Automated Pointing of Cardiac Imaging Catheters. CARE@MICCAI 2014: 99-109
2013
[c4]
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  - conf/icra/LoschakBH13
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Paul M. Loschak, Laura J. Brattain, Robert D. Howe:
Automated pointing of cardiac imaging catheters. ICRA 2013: 5794-5799
2012
[c3]
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  - conf/ipcai/BrattainVH12
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Laura J. Brattain, Nikolay V. Vasilyev, Robert D. Howe:
Enabling 3D Ultrasound Procedure Guidance through Enhanced Visualization. IPCAI 2012: 115-124
2011
[c2]
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  - conf/embc/BrattainFHNYKCW11
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Laura J. Brattain, Caspar Floryan, Oliver P. Hauser, Michael Nguyen, Robert J. Yong, Samuel B. Kesner, Stephen B. Corn, Conor J. Walsh:
Simple and effective ultrasound needle guidance system. EMBC 2011: 8090-8093
[c1]
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Laura J. Brattain, Robert D. Howe:
Real-Time 4D Ultrasound Mosaicing and Visualization. MICCAI (1) 2011: 105-112

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