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236 results on '"Wong, Jason K."'

1. ScrollTimes: Tracing the Provenance of Paintings as a Window into History

Author

Zhang, Wei, Kam-Kwai, Wong, Chen, Yitian, Jia, Ailing, Wang, Luwei, Zhang, Jian-Wei, Cheng, Lechao, Qu, Huamin, and Chen, Wei

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition
Abstract

The study of cultural artifact provenance, tracing ownership and preservation, holds significant importance in archaeology and art history. Modern technology has advanced this field, yet challenges persist, including recognizing evidence from diverse sources, integrating sociocultural context, and enhancing interactive automation for comprehensive provenance analysis. In collaboration with art historians, we examined the handscroll, a traditional Chinese painting form that provides a rich source of historical data and a unique opportunity to explore history through cultural artifacts. We present a three-tiered methodology encompassing artifact, contextual, and provenance levels, designed to create a "Biography" for handscroll. Our approach incorporates the application of image processing techniques and language models to extract, validate, and augment elements within handscroll using various cultural heritage databases. To facilitate efficient analysis of non-contiguous extracted elements, we have developed a distinctive layout. Additionally, we introduce ScrollTimes, a visual analysis system tailored to support the three-tiered analysis of handscroll, allowing art historians to interactively create biographies tailored to their interests. Validated through case studies and expert interviews, our approach offers a window into history, fostering a holistic understanding of handscroll provenance and historical significance., Comment: Accepted by IEEE Transactions on Visualization and Computer Graphics (TVCG)

Published
2023

2. DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy

Author

Zhou, Jiehui, Wang, Xumeng, Wong, Jason K., Wang, Huanliang, Wang, Zhongwei, Yang, Xiaoyu, Yan, Xiaoran, Feng, Haozhe, Qu, Huamin, Ying, Haochao, and Chen, Wei

Subjects
Computer Science - Human-Computer Interaction
Abstract

Data privacy is an essential issue in publishing data visualizations. However, it is challenging to represent multiple data patterns in privacy-preserving visualizations. The prior approaches target specific chart types or perform an anonymization model uniformly without considering the importance of data patterns in visualizations. In this paper, we propose a visual analytics approach that facilitates data custodians to generate multiple private charts while maintaining user-preferred patterns. To this end, we introduce pattern constraints to model users' preferences over data patterns in the dataset and incorporate them into the proposed Bayesian network-based Differential Privacy (DP) model PriVis. A prototype system, DPVisCreator, is developed to assist data custodians in implementing our approach. The effectiveness of our approach is demonstrated with quantitative evaluation of pattern utility under the different levels of privacy protection, case studies, and semi-structured expert interviews., Comment: 9 pages, 5 figures

Published
2022
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3. CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data

Author

Zhang, Wei, Wong, Jason K., Wang, Xumeng, Gong, Youcheng, Zhu, Rongchen, Liu, Kai, Yan, Zihan, Tan, Siwei, Qu, Huamin, Chen, Siming, and Chen, Wei

Subjects
Computer Science - Human-Computer Interaction
Abstract

In history research, cohort analysis seeks to identify social structures and figure mobilities by studying the group-based behavior of historical figures. Prior works mainly employ automatic data mining approaches, lacking effective visual explanation. In this paper, we present CohortVA, an interactive visual analytic approach that enables historians to incorporate expertise and insight into the iterative exploration process. The kernel of CohortVA is a novel identification model that generates candidate cohorts and constructs cohort features by means of pre-built knowledge graphs constructed from large-scale history databases. We propose a set of coordinated views to illustrate identified cohorts and features coupled with historical events and figure profiles. Two case studies and interviews with historians demonstrate that CohortVA can greatly enhance the capabilities of cohort identifications, figure authentications, and hypothesis generation.

Published
2022

4. Explaining with Examples: Lessons Learned from Crowdsourced Introductory Description of Information Visualizations

Author

Yang, Leni, Xiong, Cindy, Wong, Jason K., Wu, Aoyu, and Qu, Huamin

Subjects
Computer Science - Human-Computer Interaction
Abstract

Data visualizations have been increasingly used in oral presentations to communicate data patterns to the general public. Clear verbal introductions of visualizations to explain how to interpret the visually encoded information are essential to convey the takeaways and avoid misunderstandings. We contribute a series of studies to investigate how to effectively introduce visualizations to the audience with varying degrees of visualization literacy. We begin with understanding how people are introducing visualizations. We crowdsource 110 introductions of visualizations and categorize them based on their content and structures. From these crowdsourced introductions, we identify different introduction strategies and generate a set of introductions for evaluation. We conduct experiments to systematically compare the effectiveness of different introduction strategies across four visualizations with 1,080 participants. We find that introductions explaining visual encodings with concrete examples are the most effective. Our study provides both qualitative and quantitative insights into how to construct effective verbal introductions of visualizations in presentations, inspiring further research in data storytelling., Comment: 12 pages, 5 figures, accepted to IEEE Transaction on Visualization and Graphics

Published
2021
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7. Clinical consensus statement: Establishing the roles of locoregional and systemic therapies for the treatment of intermediate-stage hepatocellular carcinoma in Canada

Author

Wong, Jason K., Lim, Howard J., Tam, Vincent C., Burak, Kelly W., Dawson, Laura A., Chaudhury, Prosanto, Abraham, Robert J., Meyers, Brandon M., Sapisochin, Gonzalo, Valenti, David, Samimi, Setareh, Ramjeesingh, Ravi, Mujoomdar, Amol, Martins, Ilidio, Dixon, Elijah, Segedi, Maja, and Liu, David M.

Published
2023
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8. Simultaneous versus rapid serial interventions in a hybrid operating suite for severely injured patients: a prospective evaluation of differences in RAPTOR techniques and outcomes

Author

Ball, Chad G., Kirkpatrick, Andrew W., Wong, Jason K., and Clements, Thomas

Subjects
Care and treatment, Evaluation, Patient outcomes, Medical care quality -- Evaluation, Hemorrhage -- Care and treatment -- Patient outcomes, Transitional care -- Evaluation, Medical care -- Quality management
Abstract

Ongoing hemorrhage remains the dominant cause of death after severe injury. (1-8) There is an increasing variety of instruments aimed at technical hemorrhage control and concurrent resuscitation. (6,9) One of [...], Background: Open surgical and percutaneous endovascular procedures aimed at arresting traumatic life-threatening hemorrhage are usually performed in rapid serial fashion by surgeons and interventional radiologists; truly simultaneous procedures require modifications in technique, workfow and team collaboration. The primary objective of this study was to prospectively audit outcomes in patients with ongoing hemorrhage who underwent truly simultaneous open and percutaneous procedures. Methods: We prospectively evaluated the cases of all severely injured patients who required an open and percutaneous procedure within the hybrid RAPTOR (resuscitation with angiography, percutaneous techniques and operative repair) suite at the Foothills Medical Centre, Calgary, Alberta, Canada, between Apr. 4, 2013, and Dec. 5, 2019. We compared outcomes between the truly simultaneous and rapid serial cases. Results: Thirty-five patients (31 [89%] male, median age 46 yr, median Injury Severity Score 30, blunt mechanism in 26 cases [74%]) underwent a hybrid intervention in the RAPTOR suite to stop ongoing hemorrhage during the study period. Twenty-three patients (66%) had a rapid serial procedure, and 12 (34%) had a truly simultaneous procedure. Demographic characteristics were similar between the 2 groups. Compared to the rapid serial group, a higher proportion of patients in the truly simultaneous group were hemodynamically unstable (11 [92%] v. 13 [56%], p = 0.03) and required damage-control procedures (10 [83%] v. 12 [52%], p = 0.03). The time from hospital arrival to procedure initiation was shorter for the truly simultaneous group (mean 31 min v. 59 min, p = 0.02), and a lower proportion had initial radiologic studies (3 [25%] v. 16 [70%], p = 0.01). The median hospital length of stay, intensive care unit stay and mortality rate were similar between the 2 groups. Conclusion: Truly simultaneous open and percutaneous procedures to stop ongoing hemorrhage were unique in both patient and procedural details. For the most severely injured patients, the provision of truly simultaneous modalities is necessary to achieve clinical outcomes equivalent to those of less ill patients. Contexte : Les interventions endovasculaires ouvertes et percutanees visant a enrayer une hemorragie post-traumatique menacant le pronostic vital sont habituellement effectuees en sequence rapide par des chirurgiens et des radiologues interventionnistes; les interventions reellement simultanees requierent des modifications de la technique, du deroulement des taches et de la collaboration des membres de l'equipe. L'objectif principal de cette etude etait de verifer de maniere prospective les resultats des interventions ouvertes et percutanees reellement simultanees chez des patients en hemorragie. Methodes : Nous avons evalue de maniere prospective tous les cas de traumatismes graves ayant necessite une intervention ouverte et percutanee effectuee au bloc operatoire hybride RAPTOR (resuscitation with angiography, percutaneous techniques and operative repair) du Centre medical Foothills, a Calgary, en Alberta, au Canada, entre le 4 avril 2013 et le 5 decembre 2019. Nous avons compare les resultats de l'intervention reellement simultanee a ceux de l'intervention en sequence rapide. Resultats : Trente-cinq patients (31 hommes [89 %], age median 46 ans, score median de gravite de la blessure 30 et traumatisme ferme dans 26 cas [74 %]) ont subi une intervention hybride au bloc RAPTOR pour arreter une hemorragie en cours pendant la periode de l'etude. Vingt-trois patients (66 %) ont subi l'intervention en sequence rapide et 12 (34 %) ont subi une intervention reellement simultanee. Les caracteristiques demographiques etaient similaires entre les 2 groupes. Comparativement au groupe soumis a l'intervention en sequence rapide, une proportion plus grande de patients du groupe soumis a l'intervention reellement simultanee etait instable au plan hemodynamique (11 [92 %] c. 13 [56 %], p = 0,03) et a eu besoin d'une intervention pour limiter les degats (10 [83 %] c. 12 [52 %], p = 0,03). Le temps entre l'arrivee a l'hopital et le debut de l'intervention a ete plus court dans le groupe soumis a l'intervention reellement simultanee (moyenne 31 minutes c. 59 minutes, p = 0,02) et une proportion moindre a subi des examens radiologiques au depart (3 [25 %] c. 16 [70 %], p = 0,01). La duree mediane du sejour hospitalier, du sejour a l'unite des soins intensifs et le taux de mortalite ont ete similaires entre les 2 groupes. Conclusion : Les interventions ouvertes et percutanees reellement simultanees pour enrayer une hemorragie en cours etaient uniques au plan des details concernant les patients et les interventions. Chez les patients plus gravement atteints, il faut appliquer des modalites reellement simultanees pour obtenir des resultats cliniques equivalents a ceux que l'on observe chez les patients moins gravement atteints.

Published
2022
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20. CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data

Author

Zhang, Wei, Wong, Jason K., Wang, Xumeng, Gong, Youcheng, Zhu, Rongchen, Liu, Kai, Yan, Zihan, Tan, Siwei, Qu, Huamin, Chen, Siming, Chen, Wei, Zhang, Wei, Wong, Jason K., Wang, Xumeng, Gong, Youcheng, Zhu, Rongchen, Liu, Kai, Yan, Zihan, Tan, Siwei, Qu, Huamin, Chen, Siming, and Chen, Wei

Abstract

In history research, cohort analysis seeks to identify social structures and figure mobilities by studying the group-based behavior of historical figures. Prior works mainly employ automatic data mining approaches, lacking effective visual explanation. In this paper, we present CohortVA, an interactive visual analytic approach that enables historians to incorporate expertise and insight into the iterative exploration process. The kernel of CohortVA is a novel identification model that generates candidate cohorts and constructs cohort features by means of pre-built knowledge graphs constructed from large-scale history databases. We propose a set of coordinated views to illustrate identified cohorts and features coupled with historical events and figure profiles. Two case studies and interviews with historians demonstrate that CohortVA can greatly enhance the capabilities of cohort identifications, figure authentications, and hypothesis generation. © 2022 IEEE.

Published
2023

21. Explaining with Examples: Lessons Learned from Crowdsourced Introductory Description of Information Visualizations

Author

Yang, Leni, Xiong, Cindy, Wong, Jason K., Wu, Aoyu, Qu, Huamin, Yang, Leni, Xiong, Cindy, Wong, Jason K., Wu, Aoyu, and Qu, Huamin

Abstract

Data visualizations have been increasingly used in oral presentations to communicate data patterns to the general public. Clear verbal introductions of visualizations to explain how to interpret the visually encoded information are essential to convey the takeaways and avoid misunderstandings. We contribute a series of studies to investigate how to effectively introduce visualizations to the audience with varying degrees of visualization literacy. We begin with understanding how people are introducing visualizations. We crowdsource 110 introductions of visualizations and categorize them based on their content and structures. From these crowdsourced introductions, we identify different introduction strategies and generate a set of introductions for evaluation. We conduct experiments to systematically compare the effectiveness of different introduction strategies across four visualizations with 1, 080 participants. We find that introductions explaining visual encodings with concrete examples are the most effective. Our study provides both qualitative and quantitative insights into how to construct effective verbal introductions of visualizations in presentations, inspiring further research in data storytelling. © 2021 Authors. All rights reserved.

Published
2023

22. DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy

Author

Zhou, Jiehui, Wang, Xumeng, Wong, Jason K, Wang, Huanliang, Wang, Zhongwei, Yang, Xiaoyu, Yan, Xiaoran, Feng, Haozhe, Qu, Huamin, Ying, Haochao, Chen, Wei, Zhou, Jiehui, Wang, Xumeng, Wong, Jason K, Wang, Huanliang, Wang, Zhongwei, Yang, Xiaoyu, Yan, Xiaoran, Feng, Haozhe, Qu, Huamin, Ying, Haochao, and Chen, Wei

Abstract

Data privacy is an essential issue in publishing data visualizations. However, it is challenging to represent multiple data patterns in privacy-preserving visualizations. The prior approaches target specific chart types or perform an anonymization model uniformly without considering the importance of data patterns in visualizations. In this paper, we propose a visual analytics approach that facilitates data custodians to generate multiple private charts while maintaining user-preferred patterns. To this end, we introduce pattern constraints to model users' preferences over data patterns in the dataset and incorporate them into the proposed Bayesian network-based Differential Privacy (DP) model PriVis. A prototype system, DPVisCreator, is developed to assist data custodians in implementing our approach. The effectiveness of our approach is demonstrated with quantitative evaluation of pattern utility under the different levels of privacy protection, case studies, and semi-structured expert interviews. IEEE

Published
2023

37. Renal hemofiltration prevents metabolic acidosis and reduces inflammation during normothermic machine perfusion of the vascularized composite allograft: A preclinical study

Author

Stone, John P., primary, Amin, Kavit R., additional, Geraghty, Abbey, additional, Kerr, Jak, additional, Shaw, Matthew, additional, Dabare, Dilan, additional, Wong, Jason K., additional, Brough, David, additional, Entwistle, Timothy R., additional, Montero‐Fernandez, Angeles, additional, and Fildes, James E., additional

Published
2021
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41. sj-pdf-4-jhs-10.1177_17531934211006279 - Supplemental material for Development of the Manchester Wide-Awake hand trauma service in 2020: the patient experience

Author

Choukairi, Fouzia, Ibrahim, Ibrahim, Murphy, Ralph N. A., Reid, Adam J., Winterton, Robert I., Bedford, James D., and Wong, Jason K. F.

Subjects
FOS: Clinical medicine, 110323 Surgery, 110604 Sports Medicine, FOS: Health sciences, 110314 Orthopaedics
Abstract

Supplemental material, sj-pdf-4-jhs-10.1177_17531934211006279 for Development of the Manchester Wide-Awake hand trauma service in 2020: the patient experience by Fouzia Choukairi, Ibrahim Ibrahim, Ralph N. A. Murphy, Adam J. Reid, Robert I. Winterton, James D. Bedford and Jason K. F. Wong in Journal of Hand Surgery (European Volume)

Published
2021
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42. sj-pdf-3-jhs-10.1177_17531934211006279 - Supplemental material for Development of the Manchester Wide-Awake hand trauma service in 2020: the patient experience

Author

Choukairi, Fouzia, Ibrahim, Ibrahim, Murphy, Ralph N. A., Reid, Adam J., Winterton, Robert I., Bedford, James D., and Wong, Jason K. F.

Subjects
FOS: Clinical medicine, 110323 Surgery, 110604 Sports Medicine, FOS: Health sciences, 110314 Orthopaedics
Abstract

Supplemental material, sj-pdf-3-jhs-10.1177_17531934211006279 for Development of the Manchester Wide-Awake hand trauma service in 2020: the patient experience by Fouzia Choukairi, Ibrahim Ibrahim, Ralph N. A. Murphy, Adam J. Reid, Robert I. Winterton, James D. Bedford and Jason K. F. Wong in Journal of Hand Surgery (European Volume)

Published
2021
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43. sj-pdf-1-jhs-10.1177_17531934211006279 - Supplemental material for Development of the Manchester Wide-Awake hand trauma service in 2020: the patient experience

Author

Choukairi, Fouzia, Ibrahim, Ibrahim, Murphy, Ralph N. A., Reid, Adam J., Winterton, Robert I., Bedford, James D., and Wong, Jason K. F.

Subjects
FOS: Clinical medicine, 110323 Surgery, 110604 Sports Medicine, FOS: Health sciences, 110314 Orthopaedics
Abstract

Supplemental material, sj-pdf-1-jhs-10.1177_17531934211006279 for Development of the Manchester Wide-Awake hand trauma service in 2020: the patient experience by Fouzia Choukairi, Ibrahim Ibrahim, Ralph N. A. Murphy, Adam J. Reid, Robert I. Winterton, James D. Bedford and Jason K. F. Wong in Journal of Hand Surgery (European Volume)

Published
2021
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44. sj-pdf-2-jhs-10.1177_17531934211006279 - Supplemental material for Development of the Manchester Wide-Awake hand trauma service in 2020: the patient experience

Author

Choukairi, Fouzia, Ibrahim, Ibrahim, Murphy, Ralph N. A., Reid, Adam J., Winterton, Robert I., Bedford, James D., and Wong, Jason K. F.

Subjects
FOS: Clinical medicine, 110323 Surgery, 110604 Sports Medicine, FOS: Health sciences, 110314 Orthopaedics
Abstract

Supplemental material, sj-pdf-2-jhs-10.1177_17531934211006279 for Development of the Manchester Wide-Awake hand trauma service in 2020: the patient experience by Fouzia Choukairi, Ibrahim Ibrahim, Ralph N. A. Murphy, Adam J. Reid, Robert I. Winterton, James D. Bedford and Jason K. F. Wong in Journal of Hand Surgery (European Volume)

Published
2021
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46. iPoet: interactive painting poetry creation with visual multimodal analysis

Author

Feng, Yingchaojie, Chen, Jiazhou, Huang, Keyu, Wong, Jason K., Ye, Hui, Zhang, Wei, Zhu, Rongchen, Luo, Xiaonan, Chen, Wei, Feng, Yingchaojie, Chen, Jiazhou, Huang, Keyu, Wong, Jason K., Ye, Hui, Zhang, Wei, Zhu, Rongchen, Luo, Xiaonan, and Chen, Wei

Abstract

Chinese painting poetry is an extraordinary aesthetic phenomenon in world art history. It is not only part of the paintings but also helps us to better understand the spiritual conception that the artists express. In this paper, we present an interactive visual system to enable ordinary users to compose customized painting poetry for ancient Chinese paintings, which contain three properties: (1) We employ object detection and image captioning to describe the scenery depicted in the painting. (2) We extend the modern color theory to analyze the underlying emotions of each painting. (3) We propose an interactive poetry generation method that takes the content description and the emotional expression to add the diversity of the poetry creation. Several visual components are carefully designed to visualize and contextualize the features in the painting. They effectively guide users to steer the creation of personalized painting poems. We conduct efficient case studies and user interviews to demonstrate the effectiveness of our system. Graphic abstract: [Figure not available: see fulltext.] © 2021, The Visualization Society of Japan.

Published
2021

50. Role of actin in EGF-induced alterations in enterocyte SGLT1 expression

Author

Chung, Brian M., Wong, Jason K., Hardin, James A., and Gall, D. Grant

Subjects
Actin -- Physiological aspects, Epidermal growth factor -- Physiological aspects, Sodium channels -- Physiological aspects, Glucose metabolism -- Research, Rabbits -- Physiological aspects, Biological sciences
Abstract

The role of actin in epidermal growth factor (EGF)-induced changes in enterocyte Na(super +)-glucose cotransporter (SGLT1) expression was investigated in New Zealand White rabbit jejunal loops. SGLT1 expression was measured by the Western blot technique in brush-border membrane vesicles while glucose kinetics were determined by rapid filtration. Experimental results showed that EGF caused a substantial increase in brush-border membrane vesicle SGLT1 expression, absorptive brush-border surface area and glucose maximal uptake. Hence, EGF acutely upregulates brush-border surface area in jejunal loops as well as the glucose maximal uptake via the recruitment and insertion of SGLT1 from an internal pool into the brush border.

Published
1999

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