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Gregory Slabaugh

Showing results (1-10 of 24) with videos related to

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Iscience|August 23, 2024
Cell-vision fusion: A Swin transformer-based approach for predicting kinase inhibitor mechanism of action from Cell Painting dataWilliam Dee, Ines Sequeira, Anna Lobley, et al.
Frontiers in Cardiovascular Medicine|May 25, 2026
Correction: A systematic review of multimodal machine learning models for heart failure classification and prognosis predictionManh Thang Hoang, Yang Chen, Gregory Slabaugh, et al.
Frontiers in Cardiovascular Medicine|May 1, 2026
A systematic review of multimodal machine learning models for heart failure classification and prognosis predictionManh Thang Hoang, Nay Aung, Yang Chen, et al.
World Journal of Gastrointestinal Endoscopy|June 2, 2020
Optical imaging technology in colonoscopy: Is there a role for photometric stereo?Benjamin M Shandro, Khemraj Emrith, Gregory Slabaugh, et al.
Nanotechnology|August 2, 2017
Deep learning for single-molecule scienceTim Albrecht, Gregory Slabaugh, Eduardo Alonso, et al.
Current Research in Physiology|June 16, 2023
Machine learning and disease prediction in obstetricsZara Arain, Stamatina Iliodromiti, Gregory Slabaugh, et al.
Plos Computational Biology|January 27, 2026
Deep learning models to map osteocyte networks from confocal microscopy can successfully distinguish between young and aged boneSimon D Vetter, Charles A Schurman, Tamara Alliston, et al.
Arrhythmia & Electrophysiology Review|May 29, 2024
A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping DataOvais A Jaffery, Lea Melki, Gregory Slabaugh, et al.
Breathe (Sheffield, England)|December 11, 2024
Artificial intelligence in respiratory care: perspectives on critical opportunities and challengesDavid Drummond, Ireti Adejumo, Kjeld Hansen, et al.
Frontiers in Cardiovascular Medicine|April 28, 2025
Synthetic fibrosis distributions for data augmentation in predicting atrial fibrillation ablation outcomes: an <i>in silico</i> studyAlexander M Zolotarev, Kiane Johnson, Yusuf Mohammad, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Iscience|August 23, 2024
Cell-vision fusion: A Swin transformer-based approach for predicting kinase inhibitor mechanism of action from Cell Painting dataWilliam Dee, Ines Sequeira, Anna Lobley, et al.
Frontiers in Cardiovascular Medicine|May 25, 2026
Correction: A systematic review of multimodal machine learning models for heart failure classification and prognosis predictionManh Thang Hoang, Yang Chen, Gregory Slabaugh, et al.
Frontiers in Cardiovascular Medicine|May 1, 2026
A systematic review of multimodal machine learning models for heart failure classification and prognosis predictionManh Thang Hoang, Nay Aung, Yang Chen, et al.
World Journal of Gastrointestinal Endoscopy|June 2, 2020
Optical imaging technology in colonoscopy: Is there a role for photometric stereo?Benjamin M Shandro, Khemraj Emrith, Gregory Slabaugh, et al.
Nanotechnology|August 2, 2017
Deep learning for single-molecule scienceTim Albrecht, Gregory Slabaugh, Eduardo Alonso, et al.
Current Research in Physiology|June 16, 2023
Machine learning and disease prediction in obstetricsZara Arain, Stamatina Iliodromiti, Gregory Slabaugh, et al.
Plos Computational Biology|January 27, 2026
Deep learning models to map osteocyte networks from confocal microscopy can successfully distinguish between young and aged boneSimon D Vetter, Charles A Schurman, Tamara Alliston, et al.
Arrhythmia & Electrophysiology Review|May 29, 2024
A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping DataOvais A Jaffery, Lea Melki, Gregory Slabaugh, et al.
Breathe (Sheffield, England)|December 11, 2024
Artificial intelligence in respiratory care: perspectives on critical opportunities and challengesDavid Drummond, Ireti Adejumo, Kjeld Hansen, et al.
Frontiers in Cardiovascular Medicine|April 28, 2025
Synthetic fibrosis distributions for data augmentation in predicting atrial fibrillation ablation outcomes: an <i>in silico</i> studyAlexander M Zolotarev, Kiane Johnson, Yusuf Mohammad, et al.
Pageof 3