Leveraging historical medical records as a proxy via multimodal modeling and visualization to enrich medical diagnostic learning

Y Ouyang, Y Wu, H Wang, C Zhang… - … on Visualization and …, 2023 - ieeexplore.ieee.org
Simulation-based Medical Education (SBME) has been developed as a cost-effective means
of enhancing the diagnostic skills of novice physicians and interns, thereby mitigating the …

Medillustrator: Improving Retrospective Learning in Physicians' Continuous Medical Education via Multimodal Diagnostic Data Alignment and Representation

Y Xu, J Dong, Y Fan, Y Shao, C Jiang, L Jin… - arXiv preprint arXiv …, 2024 - arxiv.org
Continuous Medical Education (CME) plays a vital role in physicians' ongoing professional
development. Beyond immediate diagnoses, physicians utilize multimodal diagnostic data …

ICEVis: Interactive Clustering Exploration for tumor sub-region analysis in multiparametric cancer imaging

E Mörth, T Eichner, I Haldorsen, S Bruckner… - Proceedings of the 15th …, 2022 - dl.acm.org
Tumor tissue characteristics derived from imaging data are gaining importance in clinical
research. Tumor sub-regions may play a critical role in defining tumor types and may hold …

[PDF][PDF] Visual Analytics for the Integrated Exploration and Sensemaking of Cancer Cohort Radiogenomics and Clinical Information

S El-Sherbiny, J Ning, B Hantusch, L Kenner… - … Workshop on Visual …, 2023 - diglib.eg.org
We present a visual analytics (VA) framework for the comprehensive exploration and
integrated analysis of radiogenomic and clinical data from a cancer cohort. Our framework …

BioMedical Visualization: Past Work, Current Trends, and Open Challenges

Medicine and biology are important research fields with a significant impact on humans and
their health. In the last few decades, many visualization strategies have been proposed for …

[PDF][PDF] Visualization, Visual Analytics and Virtual Reality in Medicine

B Preim, R Raidou, N Smit, K Lawonn - 2023 - researchgate.net
Preface. It is my great pleasure to write some accompanying words for this book. Bernhard
Preim is one of the leading minds in medical visualization, which is actually still a young …

[PDF][PDF] Visual Analytics to Assess Deep Learning Models for Cross-Modal Brain Tumor Segmentation.

C Magg, RG Raidou - VCBM, 2022 - diglib.eg.org
Accurate delineations of anatomically relevant structures are required for cancer treatment
planning. Despite its accuracy, manual labeling is time-consuming and tedious—hence, the …

MuSIC: Multi-Sequential Interactive Co-Registration for Cancer Imaging Data based on Segmentation Masks

T Eichner, E Mörth, KS Wagner-Larsen, NG Lura… - 2022 - bora.uib.no
In gynecologic cancer imaging, multiple magnetic resonance imaging (MRI) sequences are
acquired per patient to reveal different tissue characteristics. However, after image …

Scaling Up Medical Visualization: Multi-Modal, Multi-Patient, and Multi-Audience Approaches for Medical Data Exploration, Analysis and Communication

E Moerth - 2022 - diglib.eg.org
Medical visualization is one of the most application-oriented areas of visualization research.
Close collaboration with medical experts is essential for interpreting medical imaging data …

[PDF][PDF] Visual Analytics for Smartphone Health Phenotyping

H Mansoor - 2022 - digital.wpi.edu
The healthcare system in the USA is schedule driven, with infrequent assessments that often
result in late diagnoses and poor health outcomes. Consequently, researchers are …