2022 26th International Conference Information Visualisation (IV)最新文献

Managing Large Multiple-choice Test Items Repositories 管理大型多项选择测试项目存储库

2022 26th International Conference Information Visualisation (IV) Pub Date : 2022-07-01 DOI: 10.1109/IV56949.2022.00054

V. Albano, D. Firmani, L. Laura, Anna Lucia Paoletti, Irene Torrente

引用次数: 0

Organizing Committee: IV 2022 组委会:IV 2022

2022 26th International Conference Information Visualisation (IV) Pub Date : 2022-07-01 DOI: 10.1109/iv56949.2022.00007

引用次数: 0

Visual Analytics for Systematic Reviews According to PRISMA 根据PRISMA，用于系统评论的可视化分析

2022 26th International Conference Information Visualisation (IV) Pub Date : 2022-07-01 DOI: 10.1109/IV56949.2022.00059

Lennart B. Sina, Kawa Nazemi

引用次数: 1

Phrase Features in Essay Report Sentences for Developing Critical Thinking Ability in a Fully Online Course 在全在线课程中培养批判性思维能力的论文、报告句子的短语特征

2022 26th International Conference Information Visualisation (IV) Pub Date : 2022-07-01 DOI: 10.1109/IV56949.2022.00047

M. Nakayama, Satoru Kikuchi, Hiroh Yamamoto

引用次数: 1

Preoperative Image Segmentation for Organ Visualization Using Augmented Reality Technology During Open Liver Surgery 基于增强现实技术的开放性肝脏手术术前器官可视化图像分割

2022 26th International Conference Information Visualisation (IV) Pub Date : 2022-07-01 DOI: 10.1109/IV56949.2022.00078

Aymen Afli, Nessrine Elloumi, Aicha Ben Makhlouf, B. Louhichi, M. Jaidane, J. M. R. Tavares

{"title":"Preoperative Image Segmentation for Organ Visualization Using Augmented Reality Technology During Open Liver Surgery","authors":"Aymen Afli, Nessrine Elloumi, Aicha Ben Makhlouf, B. Louhichi, M. Jaidane, J. M. R. Tavares","doi":"10.1109/IV56949.2022.00078","DOIUrl":"https://doi.org/10.1109/IV56949.2022.00078","url":null,"abstract":"With the emergence of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), three-dimensional images facilitate the generation of 3D models of a patient, providing a new practical and accurate assistance, particularly for surgical planning. These images can be manipulated to produce an accurate 3D representation of an organ. The reconstructed mesh can be used to generate and visualize a deformable model during surgical intervention using Augmented Reality (AR) technology. To obtain an efficient reconstruction, a segmentation of these medical images using deep learning architecture can be used to extract the target organ's properties. Many methods were proposed based on the captured pre-operative patient's CT scans. Generally, the segmentation process is done manually using image processing software. In this context several approaches were proposed, these methods are not efficient and need human interaction to select the segmentation area correctly. This work aims to develop a deep learning method using a Convolutional Neural Network (CNN) that captures the liver organ from a set of CT scans. Given preoperative patient-specific data (CT scans), the U-net architecture is implemented to detect the liver organ. As a result, the segmented 2D images are used to generate a 3D patient-specific liver model.","PeriodicalId":153161,"journal":{"name":"2022 26th International Conference Information Visualisation (IV)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114016068","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: 0

Task-based Quantitative Evaluation of the Concordance Mosaic Visualization 基于任务的一致性拼接可视化定量评价

2022 26th International Conference Information Visualisation (IV) Pub Date : 2022-07-01 DOI: 10.1109/IV56949.2022.00028

Shane Sheehan, M. Masoodian, S. Luz

引用次数: 0

Natural Language Interface for Data Visualization with Deep Learning Based Language Models 基于深度学习的语言模型的数据可视化自然语言接口

2022 26th International Conference Information Visualisation (IV) Pub Date : 2022-07-01 DOI: 10.1109/IV56949.2022.00031

Andreas Stöckl

{"title":"Natural Language Interface for Data Visualization with Deep Learning Based Language Models","authors":"Andreas Stöckl","doi":"10.1109/IV56949.2022.00031","DOIUrl":"https://doi.org/10.1109/IV56949.2022.00031","url":null,"abstract":"In this work we investigate the possibilities of integrating a Deep Learning language model for a Natural Language Interface (NLI) of an information visualisation software. For this purpose, we have developed a prototype web application that uses the deep learning model OpenAI Codex from the GPT3 family to create visualisations from text input. For comparison, we created a second prototype with a classical NLP approach based on NL4DV toolkit (with subtasks like part-of-speech (POS) tagging, entity recognition, and dependency parsing) and an almost identical interface. The two variants were subjected to a study with test persons, and the advantages and disadvantages of the two approaches and the suitability for the most common visualisation types were investigated. The Deep Learning approach offers greater expressiveness for describing the graphics, but also the danger of not always being entirely comprehensible. The participants were able to use it to create more complex visualisations, but also sometimes had problems finding the right text input to solve the tasks. In our preliminary usability study, the Deep Learning prototype performed slightly better than the comparison prototype and achieved a useful usability score.","PeriodicalId":153161,"journal":{"name":"2022 26th International Conference Information Visualisation (IV)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117188102","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: 1

A Flexible Pipeline to Create Different Types of Data Physicalizations 一个灵活的管道来创建不同类型的数据物理化

2022 26th International Conference Information Visualisation (IV) Pub Date : 2022-07-01 DOI: 10.1109/IV56949.2022.00021

Alexandre Abreu de Freitas, Walbert Cunha Monteiro, Thiago Augusto Soares de Sousa, V. F. Queiroz, Tiago Araújo, B. Meiguins

引用次数: 2

D-Art Gallery: IV 2022 D-Art Gallery: IV 2022

2022 26th International Conference Information Visualisation (IV) Pub Date : 2022-07-01 DOI: 10.1109/iv56949.2022.00009

引用次数: 0

Visualisation of Swarm Metrics on a Handheld Device for Human-Swarm Interaction 用于人-群交互的手持设备上的群度量的可视化

2022 26th International Conference Information Visualisation (IV) Pub Date : 2022-07-01 DOI: 10.1109/IV56949.2022.00032

Laine G. Jeston-Fenton, Shadi Abpeikar, Kathryn E. Kasmarik

引用次数: 0