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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2006 1
2007 6
2008 11
2009 19
2010 30
2011 47
2012 33
2013 25
2014 49
2015 37
2016 21
2017 42
2018 51
2019 102
2020 142
2021 190
2022 216
2023 238
2024 92

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1,237 results

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Page 1
Medical visual question answering: A survey.
Lin Z, Zhang D, Tao Q, Shi D, Haffari G, Wu Q, He M, Ge Z. Lin Z, et al. Artif Intell Med. 2023 Sep;143:102611. doi: 10.1016/j.artmed.2023.102611. Epub 2023 Jun 8. Artif Intell Med. 2023. PMID: 37673579 Review.
Run Your 3D Object Detector on NVIDIA Jetson Platforms:A Benchmark Analysis.
Choe C, Choe M, Jung S. Choe C, et al. Sensors (Basel). 2023 Apr 15;23(8):4005. doi: 10.3390/s23084005. Sensors (Basel). 2023. PMID: 37112347 Free PMC article.
This paper presents a benchmark analysis of NVIDIA Jetson platforms when operating deep learning-based 3D object detection frameworks. ...In this paper, we investigate 3D object detectors and analyze their performance on the NVIDIA Jetson series that contain an onbo …
This paper presents a benchmark analysis of NVIDIA Jetson platforms when operating deep learning-based 3D object detection frameworks …
A comparative analysis of near-infrared image colorization methods for low-power NVIDIA Jetson embedded systems.
Shi S, Jiang Q, Jin X, Wang W, Liu K, Chen H, Liu P, Zhou W, Yao S. Shi S, et al. Front Neurorobot. 2023 Apr 24;17:1143032. doi: 10.3389/fnbot.2023.1143032. eCollection 2023. Front Neurorobot. 2023. PMID: 37168713 Free PMC article.
Image processing can be done on an edge device, but the computing resources of edge devices are limited, and their power consumption constraints need to be considered. Graphics Processing Unit (GPU)-based NVIDIA Jetson embedded systems offer a considerable advantage over C …
Image processing can be done on an edge device, but the computing resources of edge devices are limited, and their power consumption constra …
RateML: A Code Generation Tool for Brain Network Models.
van der Vlag M, Woodman M, Fousek J, Diaz-Pier S, Pérez Martín A, Jirsa V, Morrison A. van der Vlag M, et al. Front Netw Physiol. 2022 Feb 14;2:826345. doi: 10.3389/fnetp.2022.826345. eCollection 2022. Front Netw Physiol. 2022. PMID: 36926112 Free PMC article.
Specifically, while RateML can generate Python model code, it enables generation of Compute Unified Device Architecture C++ code for NVIDIA GPUs. When a CUDA implementation of a model is generated, a tailored model driver class is produced, enabling the user to tweak the d …
Specifically, while RateML can generate Python model code, it enables generation of Compute Unified Device Architecture C++ code for NVID …
Robot Learning From Randomized Simulations: A Review.
Muratore F, Ramos F, Turk G, Yu W, Gienger M, Peters J. Muratore F, et al. Front Robot AI. 2022 Apr 11;9:799893. doi: 10.3389/frobt.2022.799893. eCollection 2022. Front Robot AI. 2022. PMID: 35494543 Free PMC article. Review.
A review of technology giants' healthcare collaborations.
Szigetvári G, Mesko B. Szigetvári G, et al. Mhealth. 2023 Mar 15;9:17. doi: 10.21037/mhealth-22-45. eCollection 2023. Mhealth. 2023. PMID: 37089272 Free PMC article. Review.
Companies like Amazon, Google (and their parent company, Alphabet), Microsoft, NVIDIA, IBM, Apple and Samsung would primarily fall into this category. ...
Companies like Amazon, Google (and their parent company, Alphabet), Microsoft, NVIDIA, IBM, Apple and Samsung would primarily fall in …
A large language model for electronic health records.
Yang X, Chen A, PourNejatian N, Shin HC, Smith KE, Parisien C, Compas C, Martin C, Costa AB, Flores MG, Zhang Y, Magoc T, Harle CA, Lipori G, Mitchell DA, Hogan WR, Shenkman EA, Bian J, Wu Y. Yang X, et al. NPJ Digit Med. 2022 Dec 26;5(1):194. doi: 10.1038/s41746-022-00742-2. NPJ Digit Med. 2022. PMID: 36572766 Free PMC article.
The GatorTron models are publicly available at: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/models/gatortron_og ....
The GatorTron models are publicly available at: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/models/gatortron_og ... …
Accelerating genomic workflows using NVIDIA Parabricks.
O'Connell KA, Yosufzai ZB, Campbell RA, Lobb CJ, Engelken HT, Gorrell LM, Carlson TB, Catana JJ, Mikdadi D, Bonazzi VR, Klenk JA. O'Connell KA, et al. BMC Bioinformatics. 2023 May 31;24(1):221. doi: 10.1186/s12859-023-05292-2. BMC Bioinformatics. 2023. PMID: 37259021 Free PMC article.
Here we benchmark one GPU-accelerated software suite called NVIDIA Parabricks on Amazon Web Services (AWS), Google Cloud Platform (GCP), and an NVIDIA DGX cluster. ...RESULTS: We achieved up to 65 acceleration with germline variant callers, bringing HaplotypeCaller …
Here we benchmark one GPU-accelerated software suite called NVIDIA Parabricks on Amazon Web Services (AWS), Google Cloud Platform (GC …
A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson.
Kota VD, Sharma H, Albert MV, Mahbub I, Mehta G, Namuduri K. Kota VD, et al. Sensors (Basel). 2023 Feb 17;23(4):2270. doi: 10.3390/s23042270. Sensors (Basel). 2023. PMID: 36850868 Free PMC article.
Additionally, a subject-wise cross-validated, three-fold, optimized convolutional neural network (CNN) model using the Physionet-SCA dataset was implemented on NVIDIA Jetson to identify the irregular heartbeats yielding an accuracy of 89% with a run time of 5.31 s. ...
Additionally, a subject-wise cross-validated, three-fold, optimized convolutional neural network (CNN) model using the Physionet-SCA dataset …
1,237 results