| Beamforming and speckle reduction using neural networks D Hyun, LL Brickson, KT Looby, JJ Dahl IEEE transactions on ultrasonics, ferroelectrics, and frequency control 66 …, 2019 | 160 | 2019 |
| On-sky performance analysis of the vector apodizing phase plate coronagraph on MagAO/Clio2 GPPL Otten, F Snik, MA Kenworthy, CU Keller, JR Males, KM Morzinski, ... The Astrophysical Journal 834 (2), 175, 2017 | 73 | 2017 |
| Distributed aberration correction techniques based on tomographic sound speed estimates R Ali, T Brevett, D Hyun, LL Brickson, JJ Dahl IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022 | 31 | 2022 |
| Reverberation noise suppression in ultrasound channel signals using a 3D fully convolutional neural network LL Brickson, D Hyun, M Jakovljevic, JJ Dahl IEEE transactions on medical imaging 40 (4), 1184-1195, 2021 | 24 | 2021 |
| Incorporation of vanadium oxide films in optical fibers for temperature sensing and optical switching applications A Dhawan, Y Sharma, L Brickson, JF Muth Optical Materials Express 4 (6), 1128-1139, 2014 | 22 | 2014 |
| Nondestructive detection of targeted microbubbles using dual-mode data and deep learning for real-time ultrasound molecular imaging D Hyun, L Abou-Elkacem, R Bam, LL Brickson, CD Herickhoff, JJ Dahl IEEE transactions on medical imaging 39 (10), 3079-3088, 2020 | 20 | 2020 |
| Reverberation noise suppression in the aperture domain using 3D fully convolutional neural networks LL Brickson, D Hyun, JJ Dahl 2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018 | 15 | 2018 |
| Producing true-color rainbows with patterned multi-layer liquid-crystal polarization gratings F Snik, M Rodenhuis, MJ Escuti, L Brickson, K Hornburg, J Kim, C Kievid, ... Optical Materials Express 9 (4), 1583-1589, 2019 | 8 | 2019 |
| Bioacoustic event detection with self-supervised contrastive learning PC Bermant, L Brickson, AJ Titus bioRxiv, 2022.10. 12.511740, 2022 | 6 | 2022 |
| Ultrasound speckle reduction and image reconstruction using deep learning techniques D Hyun, JJ Dahl, KT Looby, LL Brickson US Patent 11,030,780, 2021 | 6 | 2021 |
| Snapshot imaging spectrometry with a heterodyned Savart plate interferometer B Maione, L Brickson, M Escuti, M Kudenov Optical Engineering 56 (8), 081806-081806, 2017 | 6 | 2017 |
| An experimental study of single-film wide gamut multi-twist retarders K Hornburg, L Brickson, M Escuti Molecular Crystals and Liquid Crystals 647 (1), 151-161, 2017 | 6 | 2017 |
| Wide-color gamut multi-twist retarders KJ Hornburg, LL Brickson, MJ Escuti Emerging Liquid Crystal Technologies X 9384, 132-142, 2015 | 6 | 2015 |
| Focus cue enabled head-mounted display via microlens array R Burke, L Brickson TOG 32, 220, 2013 | 5 | 2013 |
| Elephants and algorithms: a review of the current and future role of AI in elephant monitoring L Brickson, L Zhang, F Vollrath, I Douglas-Hamilton, AJ Titus Journal of the Royal Society Interface 20 (208), 20230367, 2023 | 4 | 2023 |
| Nondestructive targeted microbubble detection using a dual-frequency beamforming deep neural network D Hyun, LL Brickson, L Abou-Elkacem, R Bam, JJ Dahl 2018 IEEE international ultrasonics symposium (IUS), 1-9, 2018 | 3 | 2018 |
| Narrowband emission line imaging spectrometry using Savart plates B Maione, L Brickson, M Kudenov, M Escuti Polarization: Measurement, Analysis, and Remote Sensing XII 9853, 68-78, 2016 | 3 | 2016 |
| Classification of neonatal brain ultrasound scans using deep convolutional neural networks D Hyun, L Brickson Stanford CS229, 2016 | 3 | 2016 |
| Application-specific pulse-echo ultrasound image reconstruction using neural networks D Hyun, L Brickson, L Abou-Elkacem, R Bam, C Herickhoff, K Looby, ... The Journal of the Acoustical Society of America 148 (4_Supplement), 2446-2446, 2020 | 1 | 2020 |
| Neural networks-assisted contrast ultrasound imaging JJ Dahl, D Hyun, LL Brickson US Patent App. 16/539,596, 2020 | 1 | 2020 |
