2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)最新文献_第6页

Transfer Learning-Based Classification of Gastrointestinal Polyps 基于迁移学习的胃肠道息肉分类

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635497

Ioan Sima, Kristijan Cincar

引用次数: 1

3D Reconstruction and Volume Estimation of Food using Stereo Vision Techniques 利用立体视觉技术对食物进行三维重建和体积估计

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635418

Fotis Konstantakopoulos, Eleni I. Georga, D. Fotiadis

{"title":"3D Reconstruction and Volume Estimation of Food using Stereo Vision Techniques","authors":"Fotis Konstantakopoulos, Eleni I. Georga, D. Fotiadis","doi":"10.1109/BIBE52308.2021.9635418","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635418","url":null,"abstract":"It is generally accepted that a healthy diet plays an important role in modern lifestyle and can prevent or reduce the effects of important diseases, such as obesity, diabetes or cardiovascular diseases. Technological advancement and the wide spread of smartphones enable the monitoring and recording of nutritional habits on a daily basis, through mHealth solutions. The most difficult task of mHealth dietary systems for calculating the nutritional composition of food is to estimate its volume. In this study, we present a volume estimation system based on structure from motion smartphone camera, through two-view 3D food reconstruction. The proposed methodology uses stereo vision techniques and requires the input of two food images with a reference card next to the plate, to reconstruct the 3D structure of the food and to estimate its volume. The above approach achieves a mean absolute percentage error from 4.6 - 11.1% per food dish. The systematic collection of a labelled Mediterranean Greek Food images dataset, the MedGRFood, with known food weight allows the evaluation of the proposed methodology.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122789079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

SVM-based Real-Time Classification of Prosthetic Fingers using Myo Armband-acquired Electromyography Data 基于svm的基于Myo臂带肌电图数据的假肢手指实时分类

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635461

Muhammad Akmal, Muhammad Farrukh Qureshi, Faisal Amin, M. Z. Rehman, I. Niazi

引用次数: 5

Prediction of psychiatric drugs sale during COVID-19 COVID-19期间精神科药物销售预测

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635202

Dalel Ayed Lakhal, Saoussen Bel Hadj Kacem, M. Tagina, Mohamed Ali Amara

引用次数: 0

Molecular docking study of coumarin-hydroxybenzohydrazide hybrid as an inhibitor of carbonic anhydrases IX and XII 香豆素-羟基苯并肼杂化物作为碳酸酐酶IX和XII抑制剂的分子对接研究

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635373

M. Antonijević, Dušica M Simijonović, D. Milenkovic, Z. Marković

引用次数: 0

Feasibility of a Cannula-Mounted Piezo Robot for Image-Guided Vertebral Augmentation: Toward a Low Cost, Semi-Autonomous Approach 用于图像引导椎体增强的套管式压电机器人的可行性:朝着低成本、半自主的方向发展

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635356

J. Opfermann, Benjamin Killeen, Christopher Bailey, Majid Khan, A. Uneri, Kensei Suzuki, M. Armand, F. Hui, A. Krieger, M. Unberath

{"title":"Feasibility of a Cannula-Mounted Piezo Robot for Image-Guided Vertebral Augmentation: Toward a Low Cost, Semi-Autonomous Approach","authors":"J. Opfermann, Benjamin Killeen, Christopher Bailey, Majid Khan, A. Uneri, Kensei Suzuki, M. Armand, F. Hui, A. Krieger, M. Unberath","doi":"10.1109/BIBE52308.2021.9635356","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635356","url":null,"abstract":"Vertebral compression fractures (VCFs), the most common fragility fractures secondary to osteoporosis, affect more than 200 million individuals worldwide. Percutaneous vertebral augmentation is an effective interventional treatment option that is routinely performed across the world. Because fluoroscopy-guided vertebral augmentation is a well-established and safe minimally invasive technique, automating its delivery is among the most important next steps. In this work, we describe the design and evaluation of a novel cannula mounted vertebral augmentation robot in a simulated X-ray environment as a first step toward autonomous vertebral augmentation. The cannula robot employs a piezo stack with inchworm control to place surgical tools within the vertebral body, while X-ray imaging verifies the robot does not interfere with imaging. Finite element analysis of the robot confirms that radiolucent materials were rigid enough to be used in the robot design as expected deformations for the cannula drive, accessory drive, and locking mechanisms $(1.299 pm 0.034 um, 1.280 pm 0.027 um$, and $1.960 pm 0.218 um$, respectively) did not exceed the stroke lengths of the piezo stacks. An in silico clinical trial based on a human anatomy model suffering from VCF validates that the cannula robot does not impede visualization of the critical anatomy and tool-to-tissue positioning. Together these results demonstrate the feasibility of a cannula mounted robot for vertebral augmentation.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126778480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Inhibitory potency of Valsartan/Sacubitril drug combination: molecular docking simulations 缬沙坦/Sacubitril联合药物的抑制效力:分子对接模拟

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635185

Jelena Đorović Jovanović, Z. Marković, Mihajlo Kokanovic, Nenad Filipović, M. S. Pirkovic

引用次数: 0

The Use of Artificial Intelligence in Diagnostic Medical Imaging: Systematic Literature Review 人工智能在医学影像诊断中的应用:系统文献综述

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635307

Lamija Hafizović, Aldijana Čaušević, Amar Deumic, L. S. Becirovic, L. G. Pokvic, A. Badnjević

{"title":"The Use of Artificial Intelligence in Diagnostic Medical Imaging: Systematic Literature Review","authors":"Lamija Hafizović, Aldijana Čaušević, Amar Deumic, L. S. Becirovic, L. G. Pokvic, A. Badnjević","doi":"10.1109/BIBE52308.2021.9635307","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635307","url":null,"abstract":"Diagnostic medical imaging and the interpretation of the imaging results pose a great challenge for the medical profession as the final conclusions are highly susceptible to human error and subjectivity. The necessity for standardization of interpretation of medical images is very necessary to bypass these problems. The only way of achieving this is using a methodology which excludes the human eye and employs artificial intelligence. However, another challenge is selecting the most suitable AI algorithm fit for the challenging task of imaging results interpretation. This study was conducted following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines published in 2020. Research was done using PubMed, ScienceDirect and Google Scholar databases where the key inclusion criteria were language, journal credibility, open access to full-text publications and the most recent papers. In order to focus on only the most recent research, only the papers published in the last 5 years were evaluated. The search through PubMed, ScienceDirect and Google Scholar has yielded 81, 205, and 520 papers respectively. Out of this number of papers, 26 of them have met all of the inclusion criteria and were included in the research. The observed accuracies of the models and the overall rising interest in the topic denote that this field is rapidly growing and has a great potential to be applied in daily medical practice in the future.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132640386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis 空间约束独立分量分析中多个空间归一化管道中功能网络连通性(FNC)值的稳定性

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635525

T. DeRamus, A. Iraji, Z. Fu, Rogers F. Silva, J. Stephen, T. Wilson, Yu Ping Wang, Yuhui Du, Jingyu Liu, V. Calhoun

{"title":"Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis","authors":"T. DeRamus, A. Iraji, Z. Fu, Rogers F. Silva, J. Stephen, T. Wilson, Yu Ping Wang, Yuhui Du, Jingyu Liu, V. Calhoun","doi":"10.1109/BIBE52308.2021.9635525","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635525","url":null,"abstract":"The reliability of functional network connectivity (FNC) measured using independent component analysis (ICA) has frequently been explored within the literature, with results displaying varying levels of reliability and demonstrating that minor changes in data preprocessing procedures can significantly alter FC results and reliability. However, one important avenue of research that has not been explored within the current literature is the effect of spatial normalization techniques on FNC reliability. Spatially constrained independent component analysis techniques such as multi-objective optimization with reference (MOO-ICAR) is one of many methods used to study brain functional connectivity (FC) using fMRI that is theoretically robust to variations which may arise in data as a result of normalization procedures. In this work, we deploy MOO-ICAR across 30 different spatial normalization pipelines varying across participant template, normalization modality (anatomical vs functional), and one vs. two-stage warps to MNI space. Most components display relatively high consistency intraclass-correlation coefficients (ICCs), with the vast majoritv (~80%) ereater than 0.5.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122341671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Semi-Automatic Left Ventricle Model Generation 半自动左心室模型生成

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635408

B. Milićević, M. Milošević, V. Simić, D. Trifunovic, N. Filipovic, M. Kojic

引用次数: 0