Publications

Full list of publications

Please find our full list of publications on Pubmed or Google Scholar. Some key publications are highlighted below.


Intraoperative surgical decision support

One of our key research areas is intraoperative decision support in laparoscopic and robot-assisted surgery based on real-world imaging data. We specialize in both compilation of valuable new datasets and implementation of clinically applicable tools that are currently undergoing clinical translation.

  • Kolbinger FR, He J, Ma J, Zhu F. Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024. doi: 10.48550/arXiv.2403.17192.

  • Kolbinger FR, Rinner FM, Jenke AC, Carstens M, Krell S, Leger S, Distler M, Weitz J, Speidel S, Bodenstedt S. Anatomy Segmentation in Laparoscopic Surgery: Comparison of Machine Learning and Human Expertise – An Experimental Study. International Journal of Surgery, 2023. doi: 10.1097/JS9.0000000000000595.

  • Kolbinger FR, Bodenstedt S, Carstens M, Leger S, Krell S, Rinner FM, Nielen TP, Kirchberg J, Fritzmann J, Weitz J, Distler M#, Speidel S#. Artificial Intelligence for Context-Aware Surgical Guidance in Complex Robot-Assisted Oncological Procedures: An Exploratory Feasibility Study. European Journal of Surgical Oncology, 2023. doi: 10.1016/j.ejso.2023.106996.

  • Carstens M, Rinner FM, Bodenstedt S, Jenke A, Weitz J, Distler M, Speidel S#, Kolbinger FR#. The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science. Scientific Data, 2023. doi: 10.1038/s41597-022-01719-2.


Prediction of disease trajectories and surgical complications

Surgical procedures are inherently connected with the risk of complications. Early - ideally preoperative - anticipation of complications, their timely identification and treatment can considerably reduce their clinical impact. We use both statistical and computational methods for complication risk and outcome stratification in patients undergoing surgery and explore methods to improve their early detection and accurate management. Many of our works in this field relate to the prediction and early detection of postoperative pancreatic fistula, one of the most common and severe complications following pancreatic surgery.

  • Zhao X*, Kolbinger FR*, Distler M, Weitz J, Makarov D, Bachmann M, Baraban L. Portable Droplet-Based Real-Time Monitoring of Pancreatic α-Amylase in Postoperative Patients. Biosensors and Bioelectronics, 2024. doi: 10.1016/j.bios.2024.116034

  • Schwarzkopf SC, Distler M, Welsch T, Krause-Jüttler G, Weitz J, Kolbinger FR. Case-based Serious Gaming for Complication Management in Colorectal and Pancreatic Surgery: A Prospective Observational Study. JMIR Serious Games, 2023. doi: 10.2196/44708.

  • Bhasker N*, Kolbinger FR*, Skorobohach N, Zwanenburg A, Löck S, Weitz J, Hoffmann RT, Distler M, Speidel S, Leger S#, Kühn JP#. Prediction of Clinically Relevant Postoperative Pancreatic Fistula Using Radiomic Features and Preoperative Data. Scientific Reports, 2023. doi: 10.1038/s41598-023-34168-x.

  • Kolbinger FR, Lambrecht J, Leger S, Ittermann T, Speidel S, Weitz J, Hoffmann RT, Distler M, Kühn JP. The Image-Based Preoperative Fistula Risk Score (PreFRS) Predicts Postoperative Pancreatic Fistula in Patients Undergoing Pancreatic Head Resection. Scientific Reports, 2022. doi: 10.1038/s41598-022-07970-2.


Reviews and comments

We share some of our ideas and experiences in the field of computational medicine and surgery in these reviews and comments:

  • Kolbinger FR*, Veldhuizen GP*, Zhu J, Truhn D, Kather JN. Reporting Guidelines in Medical Artificial Intelligence: A Systematic Review and Meta-Analysis. Communications Medicine, 2024. doi: 10.1038/s43856-024-00492-0

  • Clusmann J*, Kolbinger FR*, Muti HS*, Carrero ZI, Eckardt JN, Ghaffari Laleh N, Löffler CML, Schwarzkopf SC, Unger M, Veldhuizen GP, Wagner SJ, Kather JN. The Future Landscape of Large Language Models in Medicine. Communications Medicine, 2023. doi: 10.1038/s43856-023-00370-1

  • Quero G, Mascagni P, Kolbinger FR, Fiorillo C, De Sio D, Longo F, Schena CA, Laterza V, Rosa F, Menghi R, Papa V, Tondolo V, Cina C, Distler M, Weitz J, Speidel S, Padoy N, Alfieri S. Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives. Cancers, 2022. doi: 10.3390/cancers14153803.


Physical and mental effects of endurance sports

We believe that science is inherently interdisciplinary and teaches us lessons that can help us understand phenomena beyond our workplace. The following works document ongoing, curiosity-driven research in the context of endurance sports and mental health.

  • Gauckler P, Kesenheimer JS, Leierer J, Kruus M, Schreinlechner M, Theurl F, Bauer A, Denicolò S, Egger A, Seeber B, Mayer G, Kolbinger FR#, Kronbichler A#. Exercise-Induced Fluid Retention, Cardiac Volume Overload, and Peripheral Edema in Ultra-Distance Cyclists. Kidney International Reports, 2024. doi: 10.1016/j.ekir.2023.10.025.

  • Kesenheimer JS*, Sagioglou C*, Kronbichler A, Gauckler P#, Kolbinger FR#. Why Do People Cycle (a Lot)? A Multivariate Approach on Mental Health, Personality Traits and Motivation as Determinants for Cycling Ambition. Journal of Applied Sport Psychology, 2023. doi: 10.1080/10413200.2023.2166157.

  • Gauckler P, Kesenheimer JS, Kronbichler A, Kolbinger FR. Edema-like Symptoms Are Common in Ultra-Distance Cyclists and Driven by Overdrinking, Use of Analgesics and Female Sex – a Study of 919 Athletes. Journal of the International Society of Sports Nutrition, 2021. doi: 10.1186/s12970-021-00470-0.