MAY252027

ISBI 2027 — IEEE International Symposium on Biomedical Imaging

by IEEE Signal Processing Society (SPS) and IEEE Engineering in Medicine and Biology Society (EMBS)

conferenceIn-PersonUpcomingStarts in 10 months

The IEEE flagship meeting for the algorithms behind medical and biological imaging, at EPFL Lausanne

May 25–28, 2027·EPFL — Swiss Federal Institute of Technology Lausanne, Switzerland·Paid
Share:
THE DAILY BRIEF
MAY252027
ISBI 2027 — IEEE International Symposium on Biomedical Imaging

by IEEE Signal Processing Society (SPS) and IEEE Engineering in Medicine and Biology Society (EMBS)

conferenceIn-Personupcoming

The IEEE flagship meeting for the algorithms behind medical and biological imaging, at EPFL Lausanne

About This Event

ISBI 2027, the 2027 IEEE 24th International Symposium on Biomedical Imaging, runs 25-28 May 2027 at EPFL, the Swiss Federal Institute of Technology in Lausanne, Switzerland, as a fully in-person conference. ISBI is a joint initiative of the IEEE Signal Processing Society and the IEEE Engineering in Medicine and Biology Society, dedicated to the mathematical, algorithmic and computational aspects of biological and biomedical imaging across all scales of observation, and the 2027 edition marks 25 years since the first symposium. The programme combines tutorials, workshops, plenary talks, invited special sessions, grand challenges, and oral and poster presentation of peer-reviewed four-page papers. Two separate submission routes exist alongside the main paper track: one-page abstracts for late-breaking work and a challenge-paper track tied to the organised benchmarking challenges. The main four-page paper deadline is 26 October 2026, with tutorial, workshop, demo and challenge proposals closing on 21 September 2026.

At a Glance

Date
May 25–28, 2027
Location
EPFL — Swiss Federal Institute of Technology Lausanne, Switzerland
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
IEEE Signal Processing Society (SPS) and IEEE Engineering in Medicine and Biology Society (EMBS)
Added
Aug 17, 2026
Updated
Aug 17, 2026

Topics & Focus Areas

Machine learning for medical image analysisImage formation, reconstruction and inverse problemsComputational pathology and microscopyMultimodal and multiscale biomedical imagingSegmentation, registration and quantitative imaging biomarkersGrand challenges and benchmarking of medical imaging algorithmsClinical translation of imaging AIImaging across scales, from molecules to whole organisms

Who Should Attend

  • Heads of AI and machine learning at medtech and diagnostic imaging companies
  • Clinical AI leads and radiology informatics directors in hospital systems
  • R&D directors building imaging and computer-vision products for healthcare
  • Regulatory, quality and validation leaders at medical device manufacturers
  • Machine learning researchers and PhD students in biomedical image computing
  • Data science leaders in pharma imaging biomarkers and clinical trials

Organizer

I

IEEE Signal Processing Society (SPS) and IEEE Engineering in Medicine and Biology Society (EMBS)

signalprocessingsociety.org/

THE DAILY BRIEF

Enterprise AI insights for technology and business leaders, twice weekly.

beri.net

Subscribe at beri.net/subscribe for twice-weekly AI insights delivered to your inbox.

LinkedIn: linkedin.com/in/rberi  |  X: x.com/rajeshberi

© 2026 Rajesh Beri. All rights reserved.

About This Event

ISBI 2027, the 2027 IEEE 24th International Symposium on Biomedical Imaging, runs 25-28 May 2027 at EPFL, the Swiss Federal Institute of Technology in Lausanne, Switzerland, as a fully in-person conference. ISBI is a joint initiative of the IEEE Signal Processing Society and the IEEE Engineering in Medicine and Biology Society, dedicated to the mathematical, algorithmic and computational aspects of biological and biomedical imaging across all scales of observation, and the 2027 edition marks 25 years since the first symposium. The programme combines tutorials, workshops, plenary talks, invited special sessions, grand challenges, and oral and poster presentation of peer-reviewed four-page papers. Two separate submission routes exist alongside the main paper track: one-page abstracts for late-breaking work and a challenge-paper track tied to the organised benchmarking challenges. The main four-page paper deadline is 26 October 2026, with tutorial, workshop, demo and challenge proposals closing on 21 September 2026.

Key Dates & Deadlines

  • Tutorial, workshop and demo proposal deadline
  • Challenge proposal deadline
  • Four-page paper submission deadline
  • Workshop paper submission deadline
  • One-page abstract submission deadline
  • Challenge paper submission deadline

At a Glance

Date
May 25–28, 2027
Location
EPFL — Swiss Federal Institute of Technology Lausanne, Switzerland
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
IEEE Signal Processing Society (SPS) and IEEE Engineering in Medicine and Biology Society (EMBS)
Added
Aug 17, 2026
Updated
Aug 17, 2026

Topics & Focus Areas

Machine learning for medical image analysisImage formation, reconstruction and inverse problemsComputational pathology and microscopyMultimodal and multiscale biomedical imagingSegmentation, registration and quantitative imaging biomarkersGrand challenges and benchmarking of medical imaging algorithmsClinical translation of imaging AIImaging across scales, from molecules to whole organisms

Who Should Attend

  • Heads of AI and machine learning at medtech and diagnostic imaging companies
  • Clinical AI leads and radiology informatics directors in hospital systems
  • R&D directors building imaging and computer-vision products for healthcare
  • Regulatory, quality and validation leaders at medical device manufacturers
  • Machine learning researchers and PhD students in biomedical image computing
  • Data science leaders in pharma imaging biomarkers and clinical trials

Why Attend

If your organisation ships imaging AI into clinical workflows, this is the meeting where the methods you will be buying or building in three years are argued over first. A CTO or head of AI leaves with a concrete read on which reconstruction, segmentation and foundation-model approaches are actually holding up on independent challenge data rather than on vendor benchmarks, plus direct access to the EPFL, IEEE SPS and EMBS research groups that produce the talent pool. The grand-challenge results are the closest thing the field has to a neutral evaluation, which makes them unusually useful input for a build-versus-buy decision.

Event Features

  • Peer-reviewed four-page paper track with oral and poster presentation (deadline 26 October 2026)
  • One-page abstract track for late-breaking and clinical work (deadline 1 February 2027)
  • Organised grand challenges with a dedicated challenge-paper deadline of 26 February 2027
  • Tutorials and workshops, proposed by the community, with proposals due 21 September 2026
  • Plenary talks and invited special sessions
  • Demo sessions proposed through the same September 2026 proposal deadline

What Makes This Unique

  • Jointly sponsored by two IEEE societies — Signal Processing and Engineering in Medicine and Biology — so it sits deliberately between the algorithm and clinical communities rather than inside either one
  • Its organised grand challenges are a public benchmarking venue: teams submit to a challenge track with its own deadline and papers, which is where imaging models get compared on common data rather than on self-reported numbers
  • Deliberately fully in-person for 2027, with the stated aim of knowledge transfer between imaging communities that normally publish separately
  • Three distinct submission routes — four-page peer-reviewed papers, one-page abstracts for late-breaking work, and challenge papers — so early results and mature work appear at the same meeting
  • 25th anniversary edition hosted at EPFL, one of the strongest European centres for computational imaging

Industries Represented

HealthcareMedical DevicesPharmaceuticalsAcademia and ResearchLife Sciences

Pricing Details

Registration rates for the 2027 edition are not published on the official site as of August 2026; ISBI has historically opened registration alongside author notification, with IEEE member and student discounts.

Organizer

I

IEEE Signal Processing Society (SPS) and IEEE Engineering in Medicine and Biology Society (EMBS)

signalprocessingsociety.org/

Frequently Asked

When is ISBI 2027?
ISBI 2027 takes place May 25–28, 2027 in Lausanne, Switzerland.
Where is ISBI 2027 held?
ISBI 2027 is held in Lausanne, Switzerland. The event format is in-person.
What is the ISBI 2027 submission deadline?
The next ISBI 2027 deadline is tutorial, workshop and demo proposal deadline on Sep 21, 2026. Remaining dates: Challenge proposal deadline — Sep 21, 2026; Four-page paper submission deadline — Oct 26, 2026; Workshop paper submission deadline — Jan 26, 2027; One-page abstract submission deadline — Feb 1, 2027; Challenge paper submission deadline — Feb 26, 2027.
How much does ISBI 2027 cost?
ISBI 2027 is paid. Registration rates for the 2027 edition are not published on the official site as of August 2026; ISBI has historically opened registration alongside author notification, with IEEE member and student discounts.
Who should attend ISBI 2027?
ISBI 2027 is aimed at Heads of AI and machine learning at medtech and diagnostic imaging companies, Clinical AI leads and radiology informatics directors in hospital systems, R&D directors building imaging and computer-vision products for healthcare, Regulatory, quality and validation leaders at medical device manufacturers, Machine learning researchers and PhD students in biomedical image computing, Data science leaders in pharma imaging biomarkers and clinical trials.
What topics does ISBI 2027 cover?
ISBI 2027 covers Machine learning for medical image analysis, Image formation, reconstruction and inverse problems, Computational pathology and microscopy, Multimodal and multiscale biomedical imaging, Segmentation, registration and quantitative imaging biomarkers, Grand challenges and benchmarking of medical imaging algorithms, Clinical translation of imaging AI, Imaging across scales, from molecules to whole organisms.

Sources

This page was written from 3 sources, 1 on domains other than biomedicalimaging.org.

  1. 1.biomedicalimaging.org2027vendor
  2. 2.biomedicalimaging.orgaboutvendor
  3. 3.signalprocessingsociety.org2027 ieee 24th international symposium biomedical imaging is
Newsletter

Stay Ahead of the Curve

Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.

Subscribe