2026 9th International Conference on Digital Medicine and Image Processing (DMIP 2026)
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About this event
2026 9th International Conference on Digital Medicine and Image Processing (DMIP 2026)
The 2026 9th International Conference on Digital Medicine and Image Processing (DMIP 2026) will take place in Sapporo, Japan from December 25 to 28, 2026. As a leading international conference, DMIP 2026 aims to provide a global platform for researchers, engineers, academicians, and industrial professionals to present their latest research results and development activities in the fields of Digital Medicine and Image Processing.
Event Overview
DMIP 2026 will focus on advancements and innovations in Digital Medicine, Health Informatics, Artificial Intelligence, and Image Processing. The conference encourages the submission of original research papers and abstracts that contribute to these fields, fostering collaboration and knowledge exchange among participants worldwide.
Important Dates
- Submission Deadline: August 10, 2026
- Notification Date: September 10, 2026
- Author's Registration Deadline: October 10, 2026
- Final Paper Submission Deadline: October 10, 2026
- Conference Dates: December 25-28, 2026
Call for Papers
The conference invites state-of-the-art research papers in various scientific fields related to Digital Medicine and Image Processing. Prospective authors are encouraged to submit full papers or abstracts (in .pdf or .doc format) through the Electronic Submission System.
Publication Opportunities
All full paper submissions will undergo a peer-review process and will be evaluated based on originality, technical content, correctness, contributions, readability, and relevance to the conference. Accepted and registered papers will be published in the International Conference Proceedings. Authors who do not wish to publish their papers may submit abstracts for presentation only.
Special Sessions
DMIP 2026 will feature Special Sessions highlighting emerging topics in Computing and Pattern Recognition. Prospective organizers are invited to submit proposals including the session title, description, related topics, organizer details, and a list of potential papers.
Committee and Keynote Speakers
The conference is organized by a distinguished committee, including:
- Prof. Yen-Wei Chen, Ritsumeikan University, Japan
- Prof. Qingli Li, East China Normal University, China
Registration and Attendance
Participants can register as authors, presenters, or listeners. Registration details and links are available on the official conference website.
Contact Information
For inquiries, please contact the conference organizers at dmip@cbees.net. Ensure all communications use the official email address to avoid any fraudulent activities.
Venue
The conference will be held in Sapporo, Japan. Specific venue details will be updated on the official website as they become available.
Data sheet
2026 9th International Conference on Digital Medicine and Image Processing (DMIP 2026) – Event Attendee & Buyer Profile Analysis
Event date: December 25–28, 2026
Location: Sapporo, Hokkaido, Japan
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 9th International Conference on Digital Medicine and Image Processing (DMIP 2026) |
| Event Date | December 25–28, 2026 |
| Event Status | Upcoming |
| Venue | Sapporo venue not specifically named on the official event text provided. User-supplied venue: TKP Sapporo Station Conference Center; not confirmed in the official website extract. |
| City | Sapporo |
| State / Region | Hokkaido |
| Country | Japan |
| Organizer | Not clearly identified in the official website text provided. Conference contact email shown: dmip@cbees.net. |
| Official Event Website | dmip.org |
| Event Type | International academic and professional conference |
| Primary Category | Medical & Pharma |
| Secondary Applicable Categories | IT & Technology; Science & Research |
| Audience Reach | Global |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for volume metrics; high for dates, city, country, and conference focus based on official website text. |
| Main Purpose of Event | To provide a platform for researchers, engineers, academicians, and industrial professionals to present research and development in digital medicine, health informatics, artificial intelligence, and image processing. |
About the Event
DMIP 2026 is positioned as an international conference focused on digital medicine and image processing, with topic coverage spanning digital medicine, health informatics, artificial intelligence, and image processing. Based on the official event text, the conference is designed for researchers, engineers, academicians, and industrial professionals seeking to present original work and technical advancements.
From a commercial intelligence perspective, the event is most relevant for organizations selling research-enabling software, medical imaging tools, AI platforms, health informatics solutions, clinical data systems, and academic-industry collaboration services. It is stronger for expert networking, thought leadership, and R&D relationship building than for large-scale transactional buyer sourcing, because no official attendee or exhibitor directory was publicly confirmed in the provided source text.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University researchers and lab heads | Universities, medical schools, AI research labs, imaging research groups | Influence tool selection, pilot projects, data collaborations, publications, and grant-backed purchases | High relevance for imaging software, analytics platforms, AI tools, datasets, and research instrumentation |
| Clinical informatics and digital health specialists | Hospitals, academic medical centers, health systems | Evaluate clinical workflow tools, imaging integration, diagnostics support, and data management | Relevant for PACS, clinical AI, interoperability, telehealth, and patient-data solutions |
| Engineers and applied AI developers | Medtech firms, health AI startups, software vendors, imaging technology companies | Recommend architecture, model pipelines, development frameworks, and integration tools | Relevant for compute platforms, imaging libraries, annotation tools, MLOps, and API-based products |
| Academic-industry collaboration leaders | Universities, research centers, innovation offices, translational medicine programs | Shape partnerships, sponsored research, and technology transfer opportunities | Useful for partnership-led outreach and co-development programs |
| Medical device and imaging product managers | Diagnostic imaging firms, software manufacturers, digital pathology vendors | Evaluate feature roadmap, clinical utility, and commercialization needs | Relevant for OEM partnerships, embedded AI, and workflow enhancements |
| Industrial professionals in related fields | Healthcare IT vendors, analytics companies, digital medicine platforms | May influence vendor assessments and technical buying cycles | Good fit for lead nurturing and technical demo outreach |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Sapporo | Local academics, nearby medical institutions, local technology professionals | Low to Medium | Host city supports local academic and regional healthcare participation. |
| Hokkaido region | Regional universities, hospitals, and innovation stakeholders | Medium | Regional reach likely, but official attendee geography has not been published. |
| Japan national market | Researchers, hospitals, medtech, and digital health organizations from major Japanese hubs | High | Conference committee includes Japan-based academic leadership, indicating strong domestic relevance. |
| East Asia | Academic and research participants from China and neighboring countries | Medium to High | Official committee text includes China-based academic representation. |
| International | Researchers, engineers, academicians, and industrial professionals from multiple countries | Medium | The official website states participation is intended from “all over the world,” supporting global reach positioning. |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | Official event text describes the conference as an international platform for participants from all over the world. |
| National | Secondary practical reach | Japan-based participation is likely meaningful given the host location and committee presence. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Ritsumeikan University | Higher education / research institution | A committee member affiliation confirms institutional relevance to the conference. | ritsumei.ac.jp | Professor, Lab Director, Research Center Director, AI Research Lead | Confirmed Speaker Organization |
| East China Normal University | Higher education / research institution | A committee member affiliation confirms institutional relevance to the conference. | ecnu.edu.cn | Professor, Department Chair, Imaging Research Lead, Health Informatics Researcher | Confirmed Speaker Organization |
| Current-year attendee, exhibitor, sponsor, and buyer directory data was not publicly confirmed in the provided official source text. This limits verified company-level attendee profiling for current-year outreach. | |||||
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Principal Investigator | Research / Academic | Senior | Core decision influencer for research collaborations, software evaluation, grants, and publications. |
| 2 | Research Director | R&D | Director | Owns lab priorities, platform selection, and strategic technical partnerships. |
| 3 | Chief Medical Information Officer | Clinical Informatics | C-Level | Relevant for digital medicine adoption, workflow digitization, and clinical data strategy. |
| 4 | Director of Imaging Informatics | Radiology / IT | Director | Key role for image data workflows, integration, and analytics tool evaluation. |
| 5 | AI Research Scientist | Data Science / AI | Manager / Senior IC | Strong technical evaluator for models, annotation, data pipelines, and compute tools. |
| 6 | Health Informatics Director | Health Informatics | Director | Relevant for interoperability, clinical data use, and digital health system modernization. |
| 7 | Product Manager, Medical Imaging | Product | Manager | Influences roadmap, feature prioritization, and partnership evaluation. |
| 8 | Business Development Director | Business Development | Director | Important for co-development, channel partnerships, and licensing opportunities. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Hospital & Health Care | Direct fit for digital medicine and clinical deployment | Clinical AI, imaging workflow, digital diagnostics |
| 2 | Higher Education | Conference is research-centric and academically led | Research tools, datasets, grants, lab software |
| 3 | Research | Strong fit for technical labs and translational research groups | Algorithm evaluation, collaboration, publications |
| 4 | Medical Devices | Imaging and diagnostic tool suppliers align well | Embedded AI, imaging enhancement, validation studies |
| 5 | Information Technology & Services | Health informatics and data platforms are core topics | Integration, analytics, data management |
| 6 | Computer Software | Image processing and AI software vendors fit naturally | Analysis engines, visualization, workflow software |
| 7 | Biotechnology | Relevant where imaging intersects with biomedical research | Image-enabled discovery, digital pathology, biomarker studies |
| 8 | Pharmaceuticals | Useful for imaging-driven trials and digital medicine programs | Clinical imaging analytics and digital endpoints |
| 9 | Medical Practice | Relevant for specialist clinics using digital imaging | Clinical workflow and diagnostic support tools |
| 10 | Nanotechnology | Relevant for advanced imaging and interdisciplinary research | Specialized imaging research partnerships |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not Confirmed | Official website text provided | No attendee total stated in the available source extract. |
| Exhibitor count | Not publicly confirmed | Not Confirmed | Official website text provided | Conference appears paper- and presentation-led rather than exhibit-led in the provided text. |
| Buyer count | Not publicly confirmed | Not Confirmed | Official website text provided | No procurement-side or hosted-buyer program identified in the source text. |
| Speaker count | Not publicly confirmed | Partially Confirmed | Official website text provided | Committee organizations are visible, but full speaker totals were not included in the provided extract. |
| Sponsor count | Not publicly confirmed | Not Confirmed | Official website text provided | “Sponsored by” and “Technically Supported by” headings appear, but sponsor names were not visible in the provided text. |
| Historical attendance | No prior-year attendance number verified from the provided source text | Historical / prior-year evidence unavailable | Official website text provided | No numeric history in the supplied material. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Digital Medicine | Clinical digitization, remote data use, and decision support | Thought leadership, clinical pilot discussions, validation studies | Digital therapeutics support, data platforms, clinical AI tools |
| Health Informatics | Data integration, interoperability, and workflow efficiency | Platform demos, integration discovery, research data partnerships | EHR-adjacent tools, analytics, interoperability middleware |
| Artificial Intelligence | Model development, validation, interpretability, deployment | Technical workshops, benchmarking, co-development outreach | ML platforms, annotation tools, MLOps, data labeling services |
| Image Processing | Image enhancement, segmentation, analysis, workflow automation | Use-case mapping with labs, radiology teams, and developers | Imaging software, analysis engines, visualization systems |
| Research Publication and Peer Review | Visibility, academic recognition, and dissemination of results | Sponsor sessions, collaborative studies, author outreach | Publishing support, research collaboration platforms, grants tools |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong for research, digital health, medtech, and imaging solution providers. |
| Decision-maker availability | Medium | Academic and technical leaders are likely present, but procurement-heavy buyer presence is not confirmed. |
| Data collection potential | Medium | Useful for speaker, committee, and research-network mapping; limited by lack of published attendee directory. |
| Apollo targeting potential | High | Themes translate well into Apollo industry, title, department, and geography targeting. |
| Geographic targeting potential | High | Japan plus broader Asia-Pacific and global academic-medtech targets can be segmented effectively. |
| Best outreach approach | High | Use research collaboration, product validation, clinical workflow, and technical demo messaging rather than hard-sell procurement language. |
| Overall lead quality | Medium to High | Good event for niche high-value technical leads; less suitable for mass attendee list building. |
| Best use case | High | ABM outreach to research institutions, medical imaging teams, and digital health innovators. |
| Limitations / risks | Medium | No public attendee counts, no confirmed buyer program, and limited confirmed organization list in the provided official source. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Hospital & Health Care; Higher Education; Research; Medical Devices; Information Technology & Services; Computer Software; Biotechnology; Pharmaceuticals; Medical Practice | Capture the most likely institutions and commercial organizations aligned with DMIP themes. |
| Departments | Research; Engineering; Information Technology; Product Management; Business Development; Clinical Informatics | Focus on technical evaluators and collaboration decision-makers. |
| Seniority | C-Level; VP; Director; Head; Manager; Senior | Prioritize strategic and technical authority. |
| Job titles | Chief Medical Information Officer; Director of Imaging Informatics; Health Informatics Director; Research Director; Professor; Principal Investigator; AI Research Scientist; Medical Imaging Product Manager; Clinical Data Scientist; Business Development Director | Narrow lists to the most relevant functional buyers and influencers. |
| Geography | Japan first; then East Asia; then broader APAC, North America, and Europe for international digital medicine prospects | Mirror the event’s international but Asia-based positioning. |
| Employee size | 11–50; 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Include startups, research centers, hospitals, and enterprise medtech organizations. |
| Keywords | digital medicine, medical imaging, image processing, radiology AI, health informatics, digital pathology, computer vision, clinical AI, biomedical imaging, diagnostic imaging | Improve match quality for theme-based prospecting. |
| Technologies, if relevant | AI/ML platforms, cloud analytics, imaging software stack, PACS-related tools, data science infrastructure | Useful for outreach to digitally mature institutions. |
| Revenue range, if relevant | Mid-market to enterprise for commercial targets; not essential for universities and hospitals | Helps separate enterprise medtech and software accounts from purely academic contacts. |
| Company type | Private; Public; Nonprofit; Educational Institution; Hospital / Health System | Supports segmentation by commercial versus academic outreach motion. |
Suggested Apollo Search Logic: ("digital medicine" OR "medical imaging" OR "image processing" OR "health informatics" OR "radiology AI" OR "clinical AI" OR "biomedical imaging") AND (Professor OR "Research Director" OR "Director of Imaging Informatics" OR "Chief Medical Information Officer" OR "AI Research Scientist" OR "Product Manager") with geography filters for Japan and broader East Asia first.
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| DMIP 2026 Official Website | Official event website | Event name, official dates, city, country, event themes, important dates, attendee profile language, committee organizations, and conference purpose. | High |
| Official website extract provided in prompt | Primary-source text supplied by user | Used as the controlling source where it contradicted other supplied details, especially dates. | High |
| User-supplied venue detail | Secondary input | Referenced only as unverified venue information because it was not confirmed in the official website extract. | Medium |
Verification note: The official website text clearly states that DMIP 2026 will be held in Sapporo, Japan during December 25–28, 2026. This report therefore uses those dates as confirmed and does not rely on conflicting earlier date inputs.
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