Conference Overview

会议图片

2026 11th International Conference on Biomedical Signal and Image Processing (ICBIP 2026) will be held in Shanghai, China during August 14-16, 2026. It is sponsored by Fudan University. Building upon its established reputation, ICBIP has become a prominent annual gathering that attracts esteemed professors, researchers, scholars, and industry pioneers from various corners of the world. As the world continues to witness advancements in biomedical signal and image processing, ICBIP serves as a pivotal platform for exchanging knowledge and fostering collaborations in this rapidly evolving field. This conference series has demonstrated resilience and adaptability, successfully transitioning to online formats from 2020 to 2022 due to the global COVID-19 pandemic. In 2023, ICBIP returned to an in-person format in Chengdu, China, further reinforcing its commitment to facilitating meaningful discussions and interactions among participants.

From its inception, ICBIP has showcased remarkable achievements, with previous editions held in renowned locations such as Seoul National University in South Korea, Kyushu Institute of Technology in Japan, and NARIC Food Science Research Institute in Budapest. These conferences have proven instrumental in advancing theoretical frameworks, uncovering industrial best practices, and sharing valuable insights garnered through practical experiences.

With its broad scope encompassing biomedical signal processing, image analysis, medical imaging, and related interdisciplinary fields, ICBIP continues to serve as a premier forum for presenting groundbreaking research, discussing emerging trends, and cultivating collaborations. The conference warmly invites contributions that stimulate intellectual exchange, foster innovation, and promote global cooperation among educators and researchers alike.

Publication

All submitted conference papers will be blind peer reviewed by two competent reviewers. The accepted and registered papers can be published in:

Option 1: ICBIP 2026 International Conference Proceedings, indexed by Compendex and Scopus.

Option 2: Journal of Image and Graphics (JOIG, ISSN: 2301-3699), which will be included in Scopus, Google Scholar, Crossref, CNKI, etc.

It is required that each paper should be presented in the conference in oral or poster. One Best Oral/Poster Presentation will be selected from each session and the Award will be announced at the end of each session.

Important Dates

📅
Paper Submission
March 05, 2026
Notification
March 25, 2026
📄
Camera-Ready
April 15, 2026
📝
Registration
April 15, 2026
🎟️
Conference
August 14–16, 2026

Conference Tracks

AI and Multimodal Medical Image Fusion Analysis

Focuses on artificial intelligence in the fusion diagnosis, feature extraction, and prognosis prediction using multimodal imaging (CT, MRI, pathology, ultrasound, etc.), and discusses explainable AI and integration into clinical workflows.

Wearable and Implantable Biosignal Sensing Technologies

Covers flexible electronics, biosensors, low-power signal processing, continuous physiological monitoring (ECG, EEG, glucose, etc.), and the development of closed-loop diagnosis and treatment systems.

Frontiers in Digital Pathology and Computational Histopathology

Addresses intelligent analysis of whole-slide images, tumor microenvironment quantification, integration with spatial transcriptomics, and validation of automated diagnostic systems.

Signal Decoding in Brain-Computer Interfaces and Neural Engineering

Explores decoding algorithms for high-dimensional neural signals (EEG, fNIRS, ECoG), real-time interactive systems, rehabilitation robot control, and ethical guidelines.

Intelligent Ultrasound Imaging and Real-Time Interventional Navigation

Combines deep learning for enhanced ultrasound image quality, automatic lesion tracking, visual navigation for surgical robots, and innovations in low-cost portable devices.

Integration of Biomedical Images with Genomic/Proteomic Data

Cross-scale data integration methods, including radiogenomics, digital twin modeling, personalized treatment plan optimization, and multi-omics visualization.

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