Welcome

Welcome to

IMI  2027

2027 International Conference on Intelligent Medical Imaging

Venue

Xiamen, China

Conference Dates

January 29–31, 2027

Notification Deadline

December 25, 2026

Registration Deadline

January 15, 2027

Final Paper Submission Date

January 08, 2027

about

About IMI 2027

The International Conference on Intelligent Medical Imaging 2027 (IMI 2027) is scheduled to be held from January 29 to 31, 2027 in Xiamen, China. With the rapid advancement of artificial intelligence and deep learning technologies, intelligent medical imaging has become a core driving force in the transformation of precision medicine. This conference is dedicated to the frontiers of the intersection of AI and medical imaging, aiming to bring together experts, scholars, researchers, and industry practitioners from around the world. It seeks to establish a high-level international platform for academic exchange and cooperation, share the latest research findings, promote technological innovation and clinical translation in intelligent medical imaging, and contribute to the high-quality development of smart healthcare. We warmly welcome colleagues in the field to actively submit papers and attend the conference.


sub&Pub

Submission & Publication

All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus  for indexing.

Please send the full paper (Word+PDF) to Submission System.

📤︎Submission System (CN)📤︎Submission System (EN)

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

CFP

The topics of interest for submission include, but are not limited to:

📚︎ Artificial Intelligence and Machine Learning Methods 

  • Deep Learning and Representation Learning

  • Self‑supervised and Semi‑supervised Learning

  • Few‑shot and Zero‑shot Learning

  • Explainable Artificial Intelligence (XAI)

  • Uncertainty Quantification

  • Generative AI and Diffusion Models

  • Federated Learning and Privacy Preservation

  • Foundation Models and Large Language Models

  • Graph Neural Networks

  • Multi‑modal Learning and Alignment


📚︎ Medical Image Analysis and Computation

  • Medical Image Segmentation

  • Image Registration and Fusion

  • Image Reconstruction and Enhancement

  • Computer‑aided Detection and Diagnosis

  • Radiomics and Pathomics

  • Digital Pathology Analysis

  • Dynamic Image and Video Analysis

  • 3D Vision and Visualization

  • Multi‑modal Medical Image Analysis

  • Temporal Medical Data Processing

📚︎ Clinical Applications and Healthcare 

  • Clinical Decision Support Systems

  • Disease Prediction and Prognosis

  • Personalized Treatment Planning

  • Drug Discovery and Development

  • Biomarker Identification and Validation

  • Surgical Planning and Navigation

  • Telemedicine and Remote Monitoring

  • Electronic Health Records Analysis

  • Real‑time Patient Monitoring

  • Healthcare Resource Optimization

contact

Mr.Nie

(Conference Secretary)

contact (1)副本.png

Tel: +86-19221685399 (WeChat)

E-Mail:  ic_imi@126.com 

If you have any questions or inquiries,

Please feel free to contact us.

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