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
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
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.
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.
. 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.
. 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.
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