Call for Papers

The 14th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI)

Munich, Germany, June 20-21 2023

Endorsed by the MICCAI Society and the
International Society for Computer Aided Surgery

In conjunction with the International Conference
on Computer Assisted Radiology and Surgery (CARS 2023)

Intention to submit deadline (for regular papers): 28 Oct. 2022

Submission deadline (for regular papers): 4 Nov. 2022

Submission deadline (for long abstracts): 13 Jan. 2023

Conference information

IPCAI is one of the most important venues for disseminating innovative research in computer-assisted surgery and minimally invasive interventions. Now in its 14th year, IPCAI is an interdisciplinary conference that attracts clinicians, engineers and computer science researchers from various backgrounds, including machine learning, data science, robotics, computer vision, medical imaging and sensing technologies. IPCAI fosters connections and showcases high quality research in a unique and focused two-day event. The conference is formatted specifically to actively engage the attendees.

The next IPCAI will be held between June 20-21 2023 in conjunction with the Computer-Assisted Radiology and Surgery (CARS) Conference in Munich, Germany. IPCAI is endorsed by the International Society of Computer-aided Surgery (ISCAS) and the Medical Image Computing and Computer Assisted Interventions (MICCAI) Society. IPCAI will be a hybrid event with on-site and remote attendance, and we encourage on-site attendance whenever possible.

Regular paper submissions

We call for high quality, original and unpublished paper submissions that describe innovative methodologies, clinical applications or clinical validations of computer-assisted intervention (CAI) systems. The submission should fall within the broad areas of interest of CAI covering the following:

• Surgical data science

• Machine learning for CAI and surgical robotics

• Interventional imaging and image fusion

• Tracking and navigation

• Augmented Reality, Virtual Reality and Mixed Reality for CAI

• Intraoperative visualization, user interfaces and human-computer interaction

• Surgical workflow, activity and skill analysis

• Intervention planning and simulation

• Systems and software

• Surgical and interventional robotics

• Evaluation and validation

All regular paper submissions should be formatted in the Springer Lecture Notes in Computer Science (LCNS) style with a maximum of 12 pages (approximately 5000 words) including the abstract, tables, references, and figure captions. The abstract should be in a structured format (Purpose, Methods, Results and Conclusion) and should not exceed 250 words.

Authors of regular papers should register an ‘intention to submit’ using Microsoft’s Conference Management Toolkit (CMT) with a paper title and abstract. Submissions are reviewed in a single-blind process. Accepted papers will be transferred to the International Journal of Computer Assisted Radiology and Surgery (IJCARS) for further revisions and publication as full paper in the IJCARS IPCAI Special Issue or (if required) in a regular journal issue.

Long abstract submissions

Long abstract submissions are intended to showcase novel ideas, software platforms, or recent breakthroughs in a shorter format compared to regular papers, with limited or preliminary experimental validation. Long abstract submissions should fall within the same areas of interest of CAI as regular papers. Submissions are reviewed in a single-blind process and should be formatted in the LNCS style, up to 4 pages (1500 words).

Committee

Program Chairs: Toby Collins, Qi Dou, Mathias Unberath

General Chairs: Nicolas Padoy, Tim Salcudean, Raphael Sznitman

Steering Committee: Purang Abolmaesumi, Kevin Cleary, Gabor Fichtinger, Makoto Hashizume, David Hawkes, Pierre Jannin, Leo Joskowicz, Ron Kikinis, Heinz Lemke, Lena Maier-Hein, Kensaku Mori, Parvin Mousavi, Nassir Navab, Terry Peters, Ichiro Sakuma, Stefanie Speidel, Danail Stoyanov, Russell Taylor

Additional information