Human-AI Collaboration

First International Workshop, HAIC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
Herausgegeben:Guo, Xiaoqing; Jin, Yueming; Lamdouar, Hala; Men, Qianhui; Ouyang, Cheng; Sahu, Manish; Vedula, S. Swaroop

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the First International Workshop, HAIC 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, in September 27, 2025.

The 9 full papers presented in this book were carefully selected and reviewed from 12 submissions. These papers have been organized in the following topical sections:

Medical image computing; computer-assisted intervention; human-ai collaboration; human-computer interaction; human factor modeling; medical image analysis.

Produktdetails

• Lecture Notes in Computer Science 16214
• Verlag: Springer, Berlin; Springer
• Artikelnr. des Verlages: 89588895
• Seitenzahl: 116
• Erscheinungstermin: 30. Oktober 2025
• Englisch
• Abmessung: 235mm x 155mm x 7mm
• Gewicht: 190g
• ISBN-13: 9783032089694
• ISBN-10: 3032089697
• Artikelnr.: 75423359

Inhaltsangabe

.
Design and assessment for joint systems and workflows. .
Beyond Manual Annotation: A Human
AI Collaborative Framework for Medical Image Segmentation Using Only “Better or Worse” Expert Feedback. .
A methodology for clinically driven interactive segmentation evaluation. .
Interactive environments for clinical training, education,and human
AI teaming. .
Explainable AI for Automated User
specific Feedback in Surgical Skill Acquisition. .
Real
Time, Dynamic, and Highly Generalizable Ultrasound Image Simulation
Guided Procedure Training System for Musculoskeletal Minimally Invasive Treatment. .
Human
in
the
loop model training. .
Learning What is Worth Learning: Active and Sequential Domain Adaptation for Multi
modal Gross Tumor Volume Segmentation. .
Guided Active Learning for Medical Image Segmentation. .
Applications of human
AI interaction, collaboration, and human factor analysis. .
User Perception of Attention Visualizations: Effects on Interpretability Across Evidence
Based Medical Documents. .
Simulating Inter
observer Variability Across Clinical Experience Levels. .
Boosting transparency, interpretability, and risk management. .
Perceptual Evaluation of GANs and Diffusion Models for Generating X
rays.