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Brian A. Telfer

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2020 – today

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2024
[c24]
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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
2023
[c23]
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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
[c22]
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James R. Williamson, Brian A. Telfer, Karl E. Friedl:
Daily Activity Profiles and Activity Fluctuations Correlate with BMI. BSN 2023: 1-5
[c21]
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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
2022
[c20]
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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
[c19]
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Jay F. Gupta, Brian A. Telfer, Victor A. Convertino:
Feature Importance Analysis for Compensatory Reserve to Predict Hemorrhagic Shock. EMBC 2022: 1747-1752
2021
[j10]
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James R. Williamson, Brian A. Telfer, Riley Mullany, Karl E. Friedl:
Detecting Parkinson's Disease from Wrist-Worn Accelerometry in the U.K. Biobank. Sensors 21(6): 2047 (2021)
[c18]
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Sophia Yuditskaya, James R. Williamson, Gregory A. Ciccarelli, Kara Blacker, Matthew Funke, Brian A. Telfer:
Quantifying Neural Processing Changes During an Auditory Oddball Task Under Hypoxia Using Electroencephalography. NER 2021: 746-750
2020
[j9]
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Wei Chen, David A. Clifton, Brian A. Telfer:
Guest Editorial: Integrative Sensor Networks, Informatics, and Modeling for Precision and Preventative Medicine. IEEE J. Biomed. Health Informatics 24(7): 1858-1859 (2020)
[c17]
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Brian A. Telfer, James R. Williamson, Lara Weed, Max Bursey, Royce Frazee, Meghan Galer, Charles Moore, Mark J. Buller, Karl E. Friedl:
Estimating Sedentary Breathing Rate from Chest-Worn Accelerometry From Free-Living Data. EMBC 2020: 4636-4639

2010 – 2019

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2019
[c16]
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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
2018
[c15]
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James R. Williamson, Tejash Patel, Ninoshka Singh, Andrew M. Siegel, Brian A. Telfer, Ray Trebicka, Brendon Welsh, Reed Hoyt:
Motion Artifact Mitigation for Wearable Pulse Oximetry. BSN 2018: 74-77
[c14]
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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
[c13]
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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
[c12]
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  - conf/isbi/HernandezBTTMCK18
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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
[c11]
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Brian A. Telfer, Reed Hoyt, Joseph Lacirignola, Tejash Patel, Andrew M. Siegel, Albert Swiston, Ninoshka Singh, Ray Trebicka, Christine Weston, James R. Williamson:
Wearable oximetry for harsh environments. BSN 2017: 107-110
[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
[j8]
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Jeffrey Palmer, Brian A. Telfer:
Guest Editorial Body Sensor Networks. IEEE J. Biomed. Health Informatics 20(5): 1250 (2016)
[c9]
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John Holliman, Michael Zhivich, Roger Khazan, Albert Swiston, Brian A. Telfer:
Building low-power trustworthy systems: Cyber-security considerations for Real-Time Physiological Status Monitoring. MILCOM 2016: 1083-1089
2015
[j7]
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Oliver Amft, Jeffrey Palmer, Brian A. Telfer:
Guest Editorial Body Sensor Networks: Novel Sensors, Algorithms, Platforms, and Applications. IEEE J. Biomed. Health Informatics 19(3): 783 (2015)
[c8]
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James R. Williamson, Andrew Dumas, Gregory A. Ciccarelli, Austin R. Hess, Brian A. Telfer, Mark J. Buller:
Estimating load carriage from a body-worn accelerometer. BSN 2015: 1-6
[c7]
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James R. Williamson, Andrew Dumas, Austin R. Hess, Tejash Patel, Brian A. Telfer, Mark J. Buller:
Detecting and tracking gait asymmetries with wearable accelerometers. BSN 2015: 1-6

1990 – 1999

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1996
[j6]
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Harold Szu, Brian A. Telfer, Joseph Garcia:
Wavelet transforms and neural networks for compression and recognition. Neural Networks 9(4): 695-708 (1996)
1994
[j5]
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Brian A. Telfer, Harold Szu:
Energy functions for minimizing misclassification error with minimum-complexity networks. Neural Networks 7(5): 809-817 (1994)
[j4]
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Brian A. Telfer, David P. Casasent:
Fast Method for Updating Robust Pseudoinverse and Ho-Kashyap Associative Processors. IEEE Trans. Syst. Man Cybern. Syst. 24(9): 1387-1390 (1994)
1993
[j3]
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Brian A. Telfer, David P. Casasent:
Minimum-cost associative processor for piecewise-hyperspherical classification. Neural Networks 6(8): 1117-1130 (1993)
[c6]
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  - conf/spieVIP/KadambeSTS93
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Shubha Kadambe, Pramila Srinivasan, Brian A. Telfer, Harold H. Szu:
Representation and classification of unvoiced sounds using adaptive wavelets. Visual Information Processing 1993: 324-335
[c5]
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Brian A. Telfer, Harold H. Szu, Abinash C. Dubey, Ned H. Witherspoon:
Detecting blobs in multispectral electro-optical imagery using wavelet techniques. Visual Information Processing 1993: 377-385
[c4]
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Mohammad Bodruzzaman, Xingkang Li, Kah E. Kuah, Lamar Crowder, Mohan Malkani, Harold H. Szu, Brian A. Telfer:
Speaker recognition using neural network and adaptive wavelet transform. Visual Information Processing 1993: 391-400
1992
[j2]
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  - journals/nn/CasasentT92
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David P. Casasent, Brian A. Telfer:
High capacity pattern recognition associative processors. Neural Networks 5(4): 687-698 (1992)
[c3]
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Harold H. Szu, Brian A. Telfer, Adolf W. Lohmann:
Modified wavelets that accommodate causality. Visual Information Processing 1992: 289-295
[c2]
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Brian A. Telfer, Harold H. Szu:
Modified wavelet transform for unbiased frequency representation. Visual Information Processing 1992: 296-303
1991
[j1]
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  - journals/nn/TelferC91
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Brian A. Telfer, David P. Casasent:
Neural closure associative processor. Neural Networks 4(5): 589-598 (1991)
1990
[c1]
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Brian A. Telfer, David P. Casasent:
Ho-Kashyap content-addressable associative processors. IJCNN 1990: 751-756

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