Snider E - Search Results

1

Predicting blood loss volume in a canine model of hemorrhagic shock using arterial waveform machine learning analysis.

Edwards T, Gonzalez JM, Hernandez-Torres S, Venn E, Ford R, Ewer N, Hoareau GL, Holland L, Convertino VA, Snider E. Edwards T, et al. Among authors: snider e. Am J Vet Res. 2024 Dec 11:1-10. doi: 10.2460/ajvr.24.09.0256. Online ahead of print. Am J Vet Res. 2024. PMID: 39662033 Free article.

2

Refinement of machine learning arterial waveform models for predicting blood loss in canines.

Gonzalez JM, Edwards TH, Hoareau GL, Snider EJ. Gonzalez JM, et al. Among authors: snider ej. Front Artif Intell. 2024 Aug 21;7:1408029. doi: 10.3389/frai.2024.1408029. eCollection 2024. Front Artif Intell. 2024. PMID: 39233890 Free PMC article.

3

Machine Learning Models for Tracking Blood Loss and Resuscitation in a Hemorrhagic Shock Swine Injury Model.

Gonzalez JM, Ortiz R, Holland L, Ruiz A, Ross E, Snider EJ. Gonzalez JM, et al. Among authors: snider ej. Bioengineering (Basel). 2024 Oct 27;11(11):1075. doi: 10.3390/bioengineering11111075. Bioengineering (Basel). 2024. PMID: 39593735 Free PMC article.

4

Using an Ultrasound Tissue Phantom Model for Hybrid Training of Deep Learning Models for Shrapnel Detection.

Hernandez-Torres SI, Boice EN, Snider EJ. Hernandez-Torres SI, et al. J Imaging. 2022 Oct 2;8(10):270. doi: 10.3390/jimaging8100270. J Imaging. 2022. PMID: 36286364 Free PMC article.

5

An Explainable Machine-Learning Model for Compensatory Reserve Measurement: Methods for Feature Selection and the Effects of Subject Variability.

Bedolla CN, Gonzalez JM, Vega SJ, Convertino VA, Snider EJ. Bedolla CN, et al. Bioengineering (Basel). 2023 May 19;10(5):612. doi: 10.3390/bioengineering10050612. Bioengineering (Basel). 2023. PMID: 37237682 Free PMC article.

6

Verification and Validation of Lower Body Negative Pressure as a Non-Invasive Bioengineering Tool for Testing Technologies for Monitoring Human Hemorrhage.

Convertino VA, Snider EJ, Hernandez-Torres SI, Collier JP, Eaton SK, Holmes DR 3rd, Haider CR, Salinas J. Convertino VA, et al. Bioengineering (Basel). 2023 Oct 20;10(10):1226. doi: 10.3390/bioengineering10101226. Bioengineering (Basel). 2023. PMID: 37892956 Free PMC article.

7

Evaluation of Deep Learning Model Architectures for Point-of-Care Ultrasound Diagnostics.

Hernandez Torres SI, Ruiz A, Holland L, Ortiz R, Snider EJ. Hernandez Torres SI, et al. Bioengineering (Basel). 2024 Apr 18;11(4):392. doi: 10.3390/bioengineering11040392. Bioengineering (Basel). 2024. PMID: 38671813 Free PMC article.

8

Deep learning models for interpretation of point of care ultrasound in military working dogs.

Hernandez Torres SI, Holland L, Edwards TH, Venn EC, Snider EJ. Hernandez Torres SI, et al. Front Vet Sci. 2024 Jun 6;11:1374890. doi: 10.3389/fvets.2024.1374890. eCollection 2024. Front Vet Sci. 2024. PMID: 38903685 Free PMC article.

9

Using Ultrasound Image Augmentation and Ensemble Predictions to Prevent Machine-Learning Model Overfitting.

Snider EJ, Hernandez-Torres SI, Hennessey R. Snider EJ, et al. Diagnostics (Basel). 2023 Jan 23;13(3):417. doi: 10.3390/diagnostics13030417. Diagnostics (Basel). 2023. PMID: 36766522 Free PMC article.

10

Training Ultrasound Image Classification Deep-Learning Algorithms for Pneumothorax Detection Using a Synthetic Tissue Phantom Apparatus.

Boice EN, Hernandez Torres SI, Knowlton ZJ, Berard D, Gonzalez JM, Avital G, Snider EJ. Boice EN, et al. J Imaging. 2022 Sep 11;8(9):249. doi: 10.3390/jimaging8090249. J Imaging. 2022. PMID: 36135414 Free PMC article.

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