IMIP 2027/Seoul, South Korea

Accepted and registered papers will be published in the IMIP 2027 Conference Proceedings.

Submit papers via Electronic submission system or conference email box. Abstract should be submitted for presentation only, and full paper for publication.

One Best Oral/Poster Presentation will be selected from each session. The Certificate for Best Oral/Poster Presentation will be awarded at the end of each session.

The 2027 9th International Conference on Intelligent Medicine and Image Processing will take place in Seoul, South Korea during April 23-26, 2027. IMIP 2027 is sponsored by Yonsei University, co-sponsored by University of the Ryukyus, Ritsumeikan University and Tiangong University.

Intelligent medicine and image processing have achieved remarkable strides in the medical domain, ushering in transformative advancements in diagnostics and treatment. Machine learning and artificial intelligence play pivotal roles by scrutinizing medical images, tailoring personalized medical solutions, enabling remote monitoring, and facilitating drug development. Concurrently, image processing technology elevates the quality of medical images, fostering more precise diagnoses. These breakthroughs not only enhance medical efficiency and cost-effectiveness but also furnish patients with earlier disease detection, personalized treatment plans, and an overall improved medical experience.

The IMIP conference series has been successfully hosted in locations such as Okinawa, Kyoto, Japan, Bali, Indonesia, and Tianjin, China. As an annual event, IMIP strives to establish a communication platform for esteemed technology leaders, scholars, engineers, scientists, industry experts, and graduate students to exchange ideas and delve into the latest technological developments in Intelligent Medicine and Image Processing, or related fields. The conference encompasses keynote speeches, invited talks, oral and poster presentation sessions, video presentations, exhibitions, and other interactive formats, fostering robust communication and information exchange within the field.