Short-lag spatial coherence of backscattered echoes: Imaging characteristics MA Lediju, GE Trahey, BC Byram, JJ Dahl IEEE transactions on ultrasonics, ferroelectrics, and frequency control 58 …, 2011 | 432 | 2011 |
The generalized contrast-to-noise ratio: a formal definition for lesion detectability A Rodriguez-Molares, OMH Rindal, J D’hooge, SE Måsøy, A Austeng, ... IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67 …, 2020 | 343 | 2020 |
Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning D Allman, A Reiter, MAL Bell IEEE Transactions on Medical Imaging, 2018 | 217 | 2018 |
Fund Black scientists KR Stevens, KS Masters, PI Imoukhuede, KA Haynes, LA Setton, ... Cell 184 (3), 561-565, 2021 | 134 | 2021 |
Quantitative assessment of the magnitude, impact and spatial extent of ultrasonic clutter MA Lediju, MJ Pihl, JJ Dahl, GE Trahey Ultrasonic imaging 30 (3), 151-168, 2008 | 126 | 2008 |
Lesion detectability in diagnostic ultrasound with short-lag spatial coherence imaging JJ Dahl, D Hyun, MA Lediju, GE Trahey Ultrasonic imaging 33 (2), 119-133, 2011 | 118 | 2011 |
The UltraSound ToolBox A Rodriguez-Molares, OMH Rindal, O Bernard, A Nair, MAL Bell, ... IEEE International Ultrasonics Symposium, 2017 | 115 | 2017 |
In vivo visualization of prostate brachytherapy seeds with photoacoustic imaging MAL Bell, NP Kuo, DY Song, JU Kang, EM Boctor Journal of biomedical optics 19 (12), 126011-126011, 2014 | 114 | 2014 |
Short-lag spatial coherence beamforming of photoacoustic images for enhanced visualization of prostate brachytherapy seeds MAL Bell, N Kuo, DY Song, EM Boctor Biomedical optics express 4 (10), 1964-1977, 2013 | 112 | 2013 |
Deep learning to obtain simultaneous image and segmentation outputs from a single input of raw ultrasound channel data AA Nair, KN Washington, TD Tran, A Reiter, MAL Bell IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …, 2020 | 101 | 2020 |
Photoacoustic imaging for surgical guidance: Principles, applications, and outlook MA Lediju Bell Journal of Applied Physics 128 (6), 060904, 2020 | 90 | 2020 |
The 2014 liver ultrasound tracking benchmark V De Luca, T Benz, S Kondo, L König, D Lübke, S Rothlübbers, ... Physics in Medicine and Biology 60 (14), 5571-99, 2015 | 88 | 2015 |
A Deep Learning Based Alternative to Beamforming Ultrasound Images AA Nair, TD Tran, A Reiter, MAL Bell 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 85 | 2018 |
Transurethral light delivery for prostate photoacoustic imaging MAL Bell, X Guo, DY Song, EM Boctor Journal of biomedical optics 20 (3), 036002, 2015 | 81 | 2015 |
Localization of transcranial targets for photoacoustic-guided endonasal surgeries MAL Bell, AK Ostrowski, K Li, P Kazanzides, EM Boctor Photoacoustics 3 (2), 78-87, 2015 | 80 | 2015 |
Application of the generalized contrast-to-noise ratio to assess photoacoustic image quality KM Kempski, MT Graham, MR Gubbi, T Palmer, MAL Bell Biomedical Optics Express 11 (7), 3684-3698, 2020 | 74 | 2020 |
Photoacoustic-based approach to surgical guidance performed with and without a da Vinci robot N Gandhi, M Allard, S Kim, P Kazanzides, MAL Bell Journal of Biomedical Optics 22 (12), 121606, 2017 | 74 | 2017 |
Short-Lag Spatial Coherence Imaging of Cardiac Ultrasound Data: Initial Clinical Results MA Lediju Bell, R Goswami, JA Kisslo, JJ Dahl, GE Trahey Ultrasound in medicine & biology 39 (10), 1861–1874, 2013 | 72 | 2013 |
In vivo liver tracking with a high volume rate 4D ultrasound scanner and a 2D matrix array probe MA Lediju Bell, BC Byram, EJ Harris, PM Evans, JC Bamber Physics in Medicine and Biology 57 (5), 1359, 2012 | 70 | 2012 |
A machine learning approach to identifying point source locations in photoacoustic data A Reiter, MAL Bell Photons Plus Ultrasound: Imaging and Sensing 2017 10064, 504-509, 2017 | 68 | 2017 |