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• Accelerated recovery from acute hypoxia in obese mice is due to obesity-associated up-regulation of interleukin-1 receptor antagonist

  Sherry, C. L., Kim, S. S. & Freund, G. G., Jun 2009, In: Endocrinology. 150, 6, p. 2660-2667 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Obese Mice
  • Interleukin-1 Receptors
  • Hypoxia
  • Up-Regulation
  • Obesity

• Accelerated self-healing via ternary interpenetrating microvascular networks

  Hansen, C. J., White, S. R., Sottos, N. R. & Lewis, J. A., Nov 22 2011, In: Advanced Functional Materials. 21, 22, p. 4320-4326 7 p.

  Research output: Contribution to journal › Article › peer-review

  • Interpenetrating polymer networks
  • healing
  • Self-healing materials
  • Hot Temperature
  • Fluids

• Accelerated shelf life testing of whey-protein-coated peanuts analyzed by static headspace gas chromatography

  Lee, S-Y. & Krochta, J. M., Mar 27 2002, In: Journal of Agricultural and Food Chemistry. 50, 7, p. 2022-2028 7 p.

  Research output: Contribution to journal › Article › peer-review

  • Whey Proteins
  • Arachis
  • Gas Chromatography
  • whey protein
  • headspace analysis

• Accelerated simulation of stochastic particle removal processes in particle-resolved aerosol models

  Curtis, J. H., Michelotti, M. D., Riemer, N., Heath, M. T. & West, M., Oct 1 2016, In: Journal of Computational Physics. 322, p. 21-32 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Aerosol
  • Aerosols
  • aerosols
  • Simulation
  • simulation

• Accelerated Singular Value-Based Ultrasound Blood Flow Clutter Filtering with Randomized Singular Value Decomposition and Randomized Spatial Downsampling

  Song, P., Trzasko, J. D., Manduca, A., Qiang, B., Kadirvel, R., Kallmes, D. F. & Chen, S., Apr 2017, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 64, 4, p. 706-716 11 p., 7845720.

  Research output: Contribution to journal › Article › peer-review

  • clutter
  • blood flow
  • Singular value decomposition
  • Blood
  • Ultrasonics

• Accelerated soil erosion of a Mississippian Mound at Cahokia site in Illinois

  Olson, K. R., Jones, R. L., Gennadiyev, A. N., Chernyanskii, S., Woods, W. I. & Lang, J. M., 2002, In: Soil Science Society of America Journal. 66, 6, p. 1911-1921 11 p.

  Research output: Contribution to journal › Article › peer-review

  • fly ash
  • soil erosion
  • tillage
  • loam soils
  • soil

• Accelerated stereo matching for autonomous vehicles using an upright pinhole camera model

  Chen, C., Lu, J., Kwon, D. K., Moore, D. & Do, M. N., Jan 1 2017, In: IS and T International Symposium on Electronic Imaging Science and Technology. p. 18-21 4 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Pinhole cameras
  • pinhole cameras
  • Autonomous vehicles
  • roads
  • vehicles

• Accelerated test for measuring sulfate resistance of calcium sulfoaluminate, calcium aluminate, and portland cements

  Kurtis, K. E., Shomglin, K., Monteiro, P. J. M., Harvey, J. & Roesler, J., Jan 1 2001, In: Journal of Materials in Civil Engineering. 13, 3, p. 216-221 6 p.

  Research output: Contribution to journal › Article › peer-review

  • calcium sulfoaluminate
  • calcium aluminate
  • Sulfates
  • Calcium
  • Portland cement

• Accelerated testing of SiC>2 reliability

  Rosenbaum, E., King, J. C. & Hu, C., 1996, In: IEEE Transactions on Electron Devices. 43, 1, p. 70-80 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Electric breakdown
  • Defects
  • Characterization (materials science)
  • Charge trapping
  • Testing

• Accelerated Thermal Depolymerization of Cyclic Polyphthalaldehyde with a Polymeric Thermoacid Generator

  Lopez Hernandez, H., Lee, O. P., Possanza, C., Kaitz, J. A., Park, C. W., Plantz, C. L., Moore, J. S. & White, S. R., Jun 2018, In: Macromolecular Rapid Communications. 39, 11, 1800046.

  Research output: Contribution to journal › Article › peer-review

  • Depolymerization
  • Sulfones
  • Carbonates
  • Hot Temperature
  • Acids

• Accelerated wound closure of pressure ulcers in aged mice by chitosan scaffolds with and without bFGF

  Park, C. J., Clark, S. G., Lichtensteiger, C. A., Jamison, R. D. & Johnson, A. J. W., Jul 1 2009, In: Acta Biomaterialia. 5, 6, p. 1926-1936 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Intercellular Signaling Peptides and Proteins
  • Fibroblasts
  • Chitosan
  • Scaffolds
  • Pressure Ulcer

• Accelerate Non-unit Stride Convolutions with Winograd Algorithms

  Pan, J. & Chen, D., Jan 18 2021, Proceedings of the 26th Asia and South Pacific Design Automation Conference, ASP-DAC 2021. Institute of Electrical and Electronics Engineers Inc., p. 358-364 7 p. 3431534. (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Convolution
  • Fast Fourier transforms
  • Computer vision
  • Computational complexity
  • Experiments

• Accelerating advanced MRI reconstructions on GPUs

  Stone, S. S., Haldar, J. P., Tsao, S. C., Hwu, W. M. W., Liang, Z. P. & Sutton, B. P., 2008, Conference on Computing Frontiers - Proceedings of the 2008 Conference on Computing Frontiers, CF'08. Association for Computing Machinery, p. 261-272 12 p. (Conference on Computing Frontiers - Proceedings of the 2008 Conference on Computing Frontiers, CF'08).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Magnetic resonance
  • Graphics processing unit
  • Imaging techniques
  • Image quality
  • Data storage equipment

• Accelerating advanced MRI reconstructions on GPUs

  Stone, S. S., Haldar, J. P., Tsao, S. C., Hwu, W. M. W., Sutton, B. P. & Liang, Z. P., Oct 2008, In: Journal of Parallel and Distributed Computing. 68, 10, p. 1307-1318 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Graphics Processing Unit
  • Magnetic Resonance Imaging
  • Magnetic resonance
  • Graphics processing unit
  • Imaging techniques

• Accelerating aerial image simulation using improved CPU/GPU collaborative computing

  Zhang, F., Hu, C., Wu, P. C., Zhang, H. & Wong, M. D. F., 2015, In: Computers and Electrical Engineering. 46, p. 176-189 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Computer supported cooperative work
  • Graphics processing unit
  • Program processors
  • Antennas
  • Lithography

• Accelerating aerial image simulation with GPU

  Zhang, H., Yan, T., Wong, M. D. F. & Patel, S. J., 2011, 2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011. p. 178-184 7 p. 6105323

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Graphics processing unit
  • Antennas
  • Program processors
  • Experiments

• Accelerating arrays of linear classifiers using approximate range queries

  Lu, V., Endres, I., Stroila, M. & Hart, J. C., 2014, 2014 IEEE Winter Conference on Applications of Computer Vision, WACV 2014. IEEE Computer Society, p. 255-260 6 p. 6836092. (2014 IEEE Winter Conference on Applications of Computer Vision, WACV 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Detectors
  • Classifiers
  • Object detection

• Accelerating cardiovascular imaging by exploiting regional low-rank structure via group sparsity

  Christodoulou, A. G., Babacan, S. D. & Liang, Z. P., 2012, 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings. p. 330-333 4 p. 6235551. (Proceedings - International Symposium on Biomedical Imaging).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Inverse problems
  • Magnetic resonance imaging
  • Image reconstruction
  • Imaging techniques
  • Sampling

• Accelerating cardiovascular magnetic resonance imaging: Signal processing meets nuclear spins [Life sciences]

  Christodoulou, A. G., Kellman, P. & Liang, Z-P., Sep 2014, In: IEEE Signal Processing Magazine. 31, 5, p. 138-143 6 p., 6879590.

  Research output: Contribution to journal › Article › peer-review

  • Magnetic Resonance Imaging
  • Life sciences
  • Signal Processing
  • Magnetic resonance
  • Signal processing

• Accelerating cosmological data analysis with FPGAs

  Kindratenko, V. & Brunner, R. J., Dec 1 2009, Proceedings - IEEE Symposium on Field Programmable Custom Computing Machines, FCCM 2009. p. 11-18 8 p. 5290959. (Proceedings - IEEE Symposium on Field Programmable Custom Computing Machines, FCCM 2009).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Field programmable gate arrays (FPGA)
  • Particle accelerators

• Accelerating cosmological data analysis with graphics processors

  Roeh, D. W., Kindratenko, V. & Brunner, R. J., Jul 23 2009, Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units, GPGPU-2. 1 p. (Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units, GPGPU-2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Graphics processing unit
  • Bins
  • Cosmology
  • Large dataset
  • Microprocessor chips

• Accelerating data movement on future chip multi-processors

  Gu, J., Kumar, R., Lumetta, S. S. & Sun, Y., Dec 1 2010, Proceedings of the 2nd International Forum on Next-Generation Multicore/Manycore Technologies, IFMT'2010 - In Conjunction with the 37th Intl. Symposium on Computer Architecture, ISCA 2010. 1882457. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computer hardware
  • Message passing
  • Data transfer
  • Managers
  • Synchronization

• Accelerating distributed reinforcement learning with in-switch computing

  Li, Y., Liu, I. J., Yuan, Y., Chen, D., Schwing, A. & Huang, J., Jun 22 2019, ISCA 2019 - Proceedings of the 2019 46th International Symposium on Computer Architecture. Institute of Electrical and Electronics Engineers Inc., p. 279-291 13 p. (Proceedings - International Symposium on Computer Architecture).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement learning
  • Agglomeration
  • Switches
  • Scalability
  • Packet networks

• Accelerating dna sequencing-by-hybridization with noise

  Chen, C., Xin, D. & Han, J., Dec 1 2005, Proceedings of the 5th International Workshop on Bioinformatics, BIOKDD 2005. p. 29-36 8 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • DNA
  • Genes
  • Degradation
  • Costs
  • Experiments

• Accelerating Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry Imaging Using a Subspace Approach

  Xie, Y. R., Castro, D. C., Lam, F. & Sweedler, J. V., Nov 4 2020, In: Journal of the American Society for Mass Spectrometry. 31, 11, p. 2338-2347 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Cyclotron resonance
  • Cyclotrons
  • Mass spectrometry
  • Fourier Analysis
  • Fourier transforms

• Accelerating Genome Analysis: A Primer on an Ongoing Journey

  Alser, M., Bingol, Z., Cali, D. S., Kim, J., Ghose, S., Alkan, C. & Mutlu, O., Sep 1 2020, In: IEEE Micro. 40, 5, p. 65-75 11 p., 9154510.

  Research output: Contribution to journal › Article › peer-review

  • Genes
  • Computer hardware
  • Pipelines
  • Data storage equipment

• Accelerating Human-in-the-loop Machine Learning: Challenges and opportunities

  Xin, D. D., Ma, L. L., Liu, J. J., Macke, S. S., Song, S. S. & Parameswaran, A. A., Jun 15 2018, Proceedings of the 2nd Workshop on Data Management for End-To-End Machine Learning, DEEM 2018 - In conjunction with the 2018 ACM SIGMOD/PODS Conference. Association for Computing Machinery, Inc, 3209896. (Proceedings of the 2nd Workshop on Data Management for End-To-End Machine Learning, DEEM 2018 - In conjunction with the 2018 ACM SIGMOD/PODS Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • workflow
  • Machine learning
  • Learning systems
  • Automation
  • learning

• Accelerating image reconstruction in three-dimensional optoacoustic tomography on graphics processing units

  Wang, K., Huang, C., Kao, Y. J., Chou, C. Y., Oraevsky, A. A. & Anastasio, M. A., Feb 2013, In: Medical Physics. 40, 2, 023301.

  Research output: Contribution to journal › Article › peer-review

  • Computer-Assisted Image Processing
  • Tomography
  • Computer Simulation

• Accelerating iterative field-compensated MR image reconstruction on GPUs

  Zhuo, Y., Wu, X. L., Haldar, J. P., Hwu, W. M., Liang, Z. P. & Sutton, B. P., Aug 9 2010, 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. p. 820-823 4 p. 5490112. (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computer-Assisted Image Processing
  • Image reconstruction
  • Graphics processing unit
  • Magnetic Fields
  • Magnetic fields

• Accelerating membrane insertion of peripheral proteins with a novel membrane mimetic model

  Ohkubo, Y. Z., Pogorelov, T. V., Arcario, M. J., Christensen, G. A. & Tajkhorshid, E., May 2 2012, In: Biophysical journal. 102, 9, p. 2130-2139 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Membranes
  • Proteins
  • Lipids
  • Membrane Proteins
  • Factor VII

• Accelerating Mobile Applications with Parallel High-bandwidth and Low-latency Channels

  Sentosa, W., Chandrasekaran, B., Brighten Godfrey, P., Hassanieh, H., Maggs, B. & Singla, A., Feb 24 2021, HotMobile 2021 - Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications. Association for Computing Machinery, Inc, p. 1-7 7 p. (HotMobile 2021 - Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Bandwidth
  • Shims
  • Servers
  • Experiments

• Accelerating molecular modeling applications with graphics processors

  Stone, J. E., Phillips, J. C., Freddolino, P. L., Hardy, D. J., Trabuco, L. G. & Schulten, K., Dec 2007, In: Journal of Computational Chemistry. 28, 16, p. 2618-2640 23 p.

  Research output: Contribution to journal › Article › peer-review

  • Graphics Processors
  • Molecular Modeling
  • Graphics Processing Unit
  • Molecular modeling
  • Graphics processing unit

• Accelerating mr image reconstruction on GPUs

  Hwu, W. M. W., Nandakumar, D., Haldar, J., Atkinson, I. C., Sutton, B., Liang, Z. P. & Thulborn, K. R., Nov 17 2009, Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. p. 1283-1286 4 p. 5193297. (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computer-Assisted Image Processing
  • Image reconstruction
  • Graphics processing unit
  • Acceleration
  • Imaging techniques

• Accelerating nonconvex learning via replica exchange Langevin diffusion

  Chen, Y., Chen, J., Dong, J., Peng, J. & Wang, Z., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Temperature
  • Low Temperature
  • learning
  • divergence
  • Divergence

• Accelerating oscillatory fronts in a nonlinear sonic vacuum with strong nonlocal effects

  Gendelman, O. V., Zolotarevskiy, V., Savin, A. V., Bergman, L. A. & Vakakis, A. F., Mar 15 2016, In: Physical Review E. 93, 3, 032216.

  Research output: Contribution to journal › Article › peer-review

  • Nonlocal Effects
  • Vacuum
  • Scaling Laws
  • Excitation
  • vacuum

• Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation

  Hsieh, K., Khan, S., Vijaykumar, N., Chang, K. K., Boroumand, A., Ghose, S. & Mutlu, O., Nov 22 2016, Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016. Institute of Electrical and Electronics Engineers Inc., p. 25-32 8 p. 7753257. (Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Particle accelerators
  • Data storage equipment
  • Linked data
  • Data structures
  • Program processors

• Accelerating quantum monte carlo simulations of real materials on GPU clusters

  Esler, K., Kim, J., Ceperley, D. & Shulenburger, L., Jan 1 2012, In: Computing in Science and Engineering. 14, 1, p. 40-51 12 p., 5601669.

  Research output: Contribution to journal › Article › peer-review

  • Graphics processing unit

• Accelerating reduction and scan using tensor core units

  Dakkak, A., Li, C., Xiong, J., Gelado, I. & Hwu, W. M., Jun 26 2019, ICS 2019 - International Conference on Supercomputing. Association for Computing Machinery, p. 46-57 12 p. (Proceedings of the International Conference on Supercomputing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Tensors
  • Deep learning
  • Energy efficiency
  • Electric power utilization
  • Bandwidth

• Accelerating Scientific Applications on Heterogeneous Systems with HybridOMP

  Diener, M., Bodony, D. J. & Kale, L., 2019, High Performance Computing for Computational Science – VECPAR 2018 - 13th International Conference, Revised Selected Papers. Senger, H., Marques, O., de Brito, T. P., Iope, R., Stanzani, S., Gil-Costa, V. & Garcia, R. (eds.). Springer-Verlag Berlin Heidelberg, p. 174-187 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11333 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heterogeneous Systems
  • Accelerator
  • Particle accelerators
  • OpenMP
  • Concurrent

• Accelerating scientific applications with reconfigurable computing: Getting started

  Klndratenko, V. V., Steffen, C. P. & Brunner, R. J., Sep 2007, In: Computing in Science and Engineering. 9, 5, p. 70-77 8 p.

  Research output: Contribution to journal › Article › peer-review

• Accelerating sparse deep neural networks on FPGAs

  Huang, S., Pearson, C., Nagi, R., Xiong, J., Chen, D. & Hwu, W. M., Sep 2019, 2019 IEEE High Performance Extreme Computing Conference, HPEC 2019. Institute of Electrical and Electronics Engineers Inc., 8916419. (2019 IEEE High Performance Extreme Computing Conference, HPEC 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep neural networks
  • Field programmable gate arrays (FPGA)
  • Inference engines
  • Particle accelerators
  • Health care

• Accelerating T2 mapping of the brain by integrating deep learning priors with low-rank and sparse modeling

  Meng, Z., Guo, R., Li, Y., Guan, Y., Wang, T., Zhao, Y., Sutton, B., Li, Y. & Liang, Z-P., Mar 2021, In: Magnetic Resonance in Medicine. 85, 3, p. 1455-1467 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Deep Learning
  • Brain Mapping
  • Learning
  • Connectome
  • Computer-Assisted Image Processing

• Accelerating TauDEM as a scalable hydrological terrain analysis service on XSEDE

  Fan, Y., Liu, Y., Wang, S., Tarboton, D., Yildirim, A. & Wilkins-Diehr, N., Jan 1 2014, Proceedings of the XSEDE 2014 Conference: Engaging Communities. Association for Computing Machinery, 5. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Large dataset

• Accelerating TauDEM for extracting hydrology information from national-scale high resolution topographic dataset

  Yildirim, A. A., Tarboton, D., Liu, Y., Sazib, N. S. & Wang, S., Jul 17 2016, Proceedings of XSEDE 2016: Diversity, Big Data, and Science at Scale. Association for Computing Machinery, a3. (ACM International Conference Proceeding Series; vol. 17-21-July-2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hydrology
  • Decomposition

• Accelerating the high-fidelity simulation of turbulence: Ensemble averaging

  Makarashvili, V., Merzari, E., Obabko, A., Fischer, P. & Siegel, A., 2016, Symposia: Fluid Mechanics (Fundamental Issues and Perspectives; Industrial and Environmental Applications); Multiphase Flow and Systems (Multiscale Methods; Noninvasive Measurements; Numerical Methods; Heat Transfer; Performance); Transport Phenomena (Clean Energy; Mixing; Manufacturing and Materials Processing); Turbulent Flows - Issues and Perspectives; Algorithms and Applications for High Performance CFD Computation; Fluid Power; Fluid Dynamics of Wind Energy; Marine Hydrodynamics. American Society of Mechanical Engineers (ASME), (American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM; vol. 1B-2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Direct numerical simulation
  • Turbulence
  • Large eddy simulation
  • Computational fluid dynamics
  • Pipe flow

• Accelerating the iterative inverse scattering algorithms by using the fast recursive aggregate T‐matrix algorithm

  Wang, Y. M. & Chew, W. C., Jan 1 1992, In: Radio Science. 27, 2, p. 109-116 8 p.

  Research output: Contribution to journal › Article › peer-review

  • inverse scattering
  • Scattering
  • scattering
  • Computational complexity
  • conjugate gradient method

• Accelerating the scientific exploration process with scientific workflows

  Altintas, I., Barney, O., Cheng, Z., Critchlow, T., Ludaescher, B., Parker, S., Shoshani, A. & Vouk, M., Oct 1 2006, In: Journal of Physics: Conference Series. 46, 1, p. 468-478 11 p., 065.

  Research output: Contribution to journal › Article › peer-review

  • data management
  • fault tolerance
  • management systems
  • requirements
  • maintenance

• Accelerating the switchgrass (Panicum virgatum L.) breeding cycle using genomic selection approaches

  Lipka, A. E., Lu, F., Cherney, J. H., Buckler, E. S., Casler, M. D. & Costich, D. E., Nov 12 2014, In: PloS one. 9, 11, e112227.

  Research output: Contribution to journal › Article › peer-review

  • Panicum
  • Biomass
  • Panicum virgatum
  • Breeding
  • marker-assisted selection

• Accelerating ultrasonic strain reconstructions by introducing mechanical constraints

  Pellot-Barakat, C., Mai, J. J., Kargel, C., Herment, A., Trummer, B. & Insana, M. F., Jan 1 2002, In: Proceedings of SPIE - The International Society for Optical Engineering. 4684 I, p. 323-333 11 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Ultrasonics
  • ultrasonics
  • Phantom
  • Tissue
  • echoes

• Accelerating volunteering through employee volunteer programs

  Lough, B. J., Aug 9 2016.

  Research output: Contribution to conference › Paper › peer-review