Human-AI Collaboration

First International Workshop, HAIC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

AvXiaoqing Guo,Yueming Jin

Häftad, Engelska, 2025

Del 16214 i serien Lecture Notes in Computer Science

559 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-10-30
Mått:155 x 235 x 7 mm
Vikt:189 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:104
Förlag:Springer Nature Switzerland AG
ISBN:9783032089694

Utforska kategorier

Människa – datorinteraktion inom Data och IT

Innehållsförteckning

.- 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.