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

565 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

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.