Bone Ablation Depth Estimation From Er:YAG Laser-Generated Acoustic Waves-Reference-Cited by-同舟云学术

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Bone Ablation Depth Estimation From Er:YAG Laser-Generated Acoustic Waves

Published:2022 Issue: Volume:10 Page:126603-126611
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Seppi Carlo¹^ORCID,Huck Antal¹,Hamidi Arsham¹^ORCID,Schnider Eva¹^ORCID,Filipozzi Massimiliano¹,Rauter Georg¹^ORCID,Zam Azhar¹,Cattin Philippe C.¹^ORCID

Affiliation:

1. Department of Biomedical Engineering, University of Basel, Basel, Switzerland

Funder

Werner Siemens Foundation through the Minimally Invasive Robot-Assisted Computer-Guided LaserosteotomE (MIRACLE) Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09966604.pdf?arnumber=9966604

Reference37 articles.

1. Long-range optical coherence tomography with extended depth-of-focus: a visual feedback system for smart laser osteotomy

2. Deep convolutional acoustic word embeddings using word-pair side information

3. Convolutional neural network with multiple-width frequency-delta data augmentation for acoustic scene classification;han;Proc IEEE AASP Challenge Detection Classification Acoustic Scenes Events,2016

4. Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

5. Optimizing deep bone ablation by means of a microsecond Er:YAG laser and a novel water microjet irrigation system

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