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Artificial intelligence and machine learning in spine research. - Abstract - Europe PMC
CCIS 273 - Biomedical Engineering Systems and Technologies
Automated Macro Approach to Quantify Synapse Density in 2D Confocal Images from Fixed Immunolabeled Neural Tissue Sections | SpringerLink
Antonio Di Ieva Editor
Health Care Systems Engineering
Generating Temporal Network Paths from Hospital Data
Artificial intelligence and machine learning in spine research
Evaluation of three machine learning models for self-referral decision support on low back pain in primary care - ScienceDirect
Artificial intelligence and machine learning in spine research - Galbusera - 2019 - JOR SPINE - Wiley Online Library
Automated Macro Approach to Quantify Synapse Density in 2D Confocal Images from Fixed Immunolabeled Neural Tissue Sections | SpringerLink
PDF) Sign-Lingo - Feasibility of a Serious Game for Involving Parents in the Language Development of Their Deaf or Hearing Impaired Child
Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021
Advances On Mechanics, Design Engineering and Manufacturing | PDF | Mechanical Engineering | Engineering
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Evaluation of three machine learning models for self-referral decision support on low back pain in primary care - ScienceDirect
Informatics | Free Full-Text | Building a Persuasive Virtual Dietitian
Automated Macro Approach to Quantify Synapse Density in 2D Confocal Images from Fixed Immunolabeled Neural Tissue Sections | SpringerLink
PDF) DRACO-STEM: An Automatic Tool to Generate High-Quality 3D Meshes of Shoot Apical Meristem Tissue at Cell Resolution
Artificial intelligence and machine learning in spine research - Galbusera - 2019 - JOR SPINE - Wiley Online Library
Evaluation of three machine learning models for self-referral decision support on low back pain in primary care - ScienceDirect
Evaluation of three machine learning models for self-referral decision support on low back pain in primary care - ScienceDirect
PDF) Automated Macro Approach to Quantify Synapse Density in 2D Confocal Images from Fixed Immunolabeled Neural Tissue Sections
Medical Informatics
GUESS THE NUMBER – Henning Heuckeroth
Evaluation of Algorithms to Measure a Psychophysical Threshold Using Digital Applications | SpringerLink
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