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Publication search results
found 10 matches
- 2023
- Dario Antweiler, Florian Gallusser, Georg Fuchs:
Multi-Task Transformer Visualization to build Trust for Clinical Outcome Prediction. VAHC 2023: 21-26 - Kashyap Balakavi, Rushitha Janga, Ahmedur Rahman Shovon, Donald M. Dempsey, Elliot J. Lefkowitz, Sidharth Kumar:
Scalable, interactive and hierarchical visualization of virus taxonomic data. VAHC 2023: 34-40 - Markus Höhn, Hendrik Lücke-Tieke, Jan Burmeister, Jörn Kohlhammer:
Towards medhub: A Self-Service Platform for Analysts and Physicians. VAHC 2023: 50-52 - Youngji Koh, Chanhee Lee, Yunhee Ku, Uichin Lee:
Data Visualization for Mental Health Monitoring in Smart Home Environment: A Case Study. VAHC 2023: 53-55 - Sonia Laguna, Julian N. Heidenreich, Jiugeng Sun, Nilüfer Cetin, Ibrahim Al Hazwani, Udo Schlegel, Furui Cheng, Mennatallah El-Assady:
ExpLIMEable: A Visual Analytics Approach for Exploring LIME. VAHC 2023: 27-33 - Eric W. Prince, Todd C. Hankinson, Carsten Görg:
The Iterative Design Process of an Explainable AI Application for Non-Invasive Diagnosis of CNS Tumors: A User-Centered Approach. VAHC 2023: 7-13 - David Sessler, Salmah Ahmad, Jörn Kohlhammer:
Demo: Cohort Visualization and Analysis of Patients with Inflammatory Bowel Disease. VAHC 2023: 41-43 - Masaki Uchihara, Akiyo Tanabe, Hiroshi Kajio:
Clinical Issues and Suggestions: Dashboard Visualization of the Trajectory of Patients with Malignant Hormone-Producing Tumors for Precision Medicine. VAHC 2023: 47-49 - He Wang, Yang Ouyang, Quan Li:
A Visual Analytics Approach to Exploring the Feature and Label Space Based on Semi-structured Electronic Medical Records. VAHC 2023: 44-46 - Workshop on Visual Analytics in Healthcare, VAHC 2023, Melbourne, Australia, October 22, 2023. IEEE 2023, ISBN 979-8-3503-3024-3 [contents]
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