Explanipedia

Obesity Surgery Improves Non-Alcoholic Fatty Liver and Type 2 Diabetes – MRI-Based Analysis of Liver and Pancreas Open

Hannes Kenngott, Philipp Anthony Wise, Yixin Jiang, Amila Cizmic, Felix Mathias Wagner , et al. · 2025

Intraoperative liver deformation and organ motion caused by ventilation, laparotomy, and pneumoperitoneum in a porcine model for image-guided liver surgery Open

Philipp Anthony Wise, Anas Amin Preukschas, Emre Özmen, Nadine Bellemann, Tobias Norajitra , et al. · 2023

HeiPorSPECTRAL - the Heidelberg Porcine HyperSPECTRAL Imaging Dataset of 20 Physiological Organs Open

Alexander Studier‐Fischer, Silvia Seidlitz, Jan Sellner, M Bressan, Berkin Özdemir , et al. · 2023

Hyperspectral Imaging (HSI) is a relatively new medical imaging modality that exploits an area of diagnostic potential formerly untouched. Although exploratory translational and clinical studies exist, no surgical HSI datasets are openly a…

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark Open

Martin Wagner, Beat P. Müller‐Stich, Anna Kisilenko, Duc Tran, Patrick Heger , et al. · 2023

Purpose: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-auton…

Understanding metric-related pitfalls in image analysis validation Open

Annika Reinke, Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel , et al. · 2023

Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation into practice. However, increasing evidence shows that particu…

Metrics reloaded: Recommendations for image analysis validation Open

Lena Maier‐Hein, Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner , et al. · 2022

Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen performance metrics often do not reflect the domain intere…

Robust hand tracking for surgical telestration Open

Lucas-Raphael Müller, Jens Petersen, Amine Yamlahi, Philipp Anthony Wise, Tim Adler , et al. · 2022

Telestration with augmented reality for visual presentation of intraoperative target structures in minimally invasive surgery: a randomized controlled study Open

Caroline Wild, F. Lang, A. S. Gerhäuser, Mona Wanda Schmidt, Karl‐Friedrich Kowalewski , et al. · 2022

Surgical data science – from concepts toward clinical translation Open

Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya, Keno März, Toby Collins , et al. · 2022

Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of inte…

Spectral organ fingerprints for intraoperative tissue classification with hyperspectral imaging Open

Alexander Studier‐Fischer, Silvia Seidlitz, Jan Sellner, Manuel Wiesenfarth, Leonardo Ayala , et al. · 2021

Visual discrimination of tissue during surgery can be challenging since different tissues appear similar to the human eye. Hyperspectral imaging (HSI) removes this limitation by associating each pixel with high-dimensional spectral informa…

Surgical data science – from concepts toward clinical translation Open

Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins , et al. · 2021

Robust deep learning-based semantic organ segmentation in hyperspectral images Open

Silvia Seidlitz, Jan Sellner, Jan Odenthal, Berkin Özdemir, Alexander Studier‐Fischer , et al. · 2021

Semantic image segmentation is an important prerequisite for context-awareness and autonomous robotics in surgery. The state of the art has focused on conventional RGB video data acquired during minimally invasive surgery, but full-scene s…

Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging in an experimental model for minimally invasive esophagectomy Open

Felix Nickel, Alexander Studier‐Fischer, Berkin Özdemir, Jan Odenthal, Lucas-Raphael Müller , et al. · 2021

Objective To optimize anastomotic technique and gastric conduit perfusion with hyperspectral imaging (HSI) for total minimally invasive esophagectomy (MIE) with linear stapled anastomosis. Summary Background Data Esophagectomy is the mains…

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark Open

Martin Wagner, Beat P. Müller‐Stich, Anna Kisilenko, Duc A. Tran, Patrick Heger , et al. · 2021

PURPOSE: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-auton…

Evidence Map of Pancreatic Surgery–A living systematic review with meta-analyses by the International Study Group of Pancreatic Surgery (ISGPS) Open

Pascal Probst, Felix J. Hüttner, Ömer Meydan, Mohammad Abu Hilal, Mustapha Adham , et al. · 2021

Heidelberg colorectal data set for surgical data science in the sensor operating room Open

Lena Maier‐Hein, Martin Wagner, Tobias Roß, Annika Reinke, Sebastian Bodenstedt , et al. · 2021

Towards 3D-Bioprinting of an Endocrine Pancreas: A Building-Block Concept for Bioartificial Insulin-Secreting Tissue Open

Gabriel Alexander Salg, Eric Poisel, M. Neulinger, Daniel Cebulla, Vitor Vieira , et al. · 2021

Background & Aims 3D-Bioprinting of an endocrine pancreas is a promising future curative treatment for selected patients with insulin secretion deficiency. In this study we present an end-to-end integrative, scalable concept extending from…

Effects of laparoscopy, laparotomy, and respiratory phase on liver volume in a live porcine model for liver resection Open

Hannes Kenngott, Felix Nickel, Anas Amin Preukschas, Martin Wagner, Shivalik Bihani , et al. · 2021

Background Hepatectomy, living donor liver transplantations and other major hepatic interventions rely on precise calculation of the total, remnant and graft liver volume. However, liver volume might differ between the pre- and intraoperat…

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge Open

Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott , et al. · 2020

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tracking of medical instruments based on endoscopic video ima…

Mikrovaskuläre Veränderungen bei COVID-19 Open

Willi L. Wagner, Katharina Hellbach, Mascha O. Fiedler, Gabriel Alexander Salg, Eckhard Wehrse , et al. · 2020

Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor\n Operating Room Open

Klaus Maier‐Hein, Martin Wagner, Tobias L. Roß, Annika Reinke, Sebastian Bodenstedt , et al. · 2020

Image-based tracking of medical instruments is an integral part of surgical\ndata science applications. Previous research has addressed the tasks of\ndetecting, segmenting and tracking medical instruments based on laparoscopic\nvideo data.…

Evidence map of pancreatic surgery: protocol for a living systematic review and meta-analysis Open

Pascal Probst, Felix J. Hüttner, Ömer Meydan, Eva Kalkum, Rüdiger Kretschmer , et al. · 2019

Introduction Pancreatic surgery is a large and complex field of research. Several evidence gaps exist for specific diseases or surgical procedures. An overview on existing knowledge is needed to plan and prioritise future research. The aim…

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data Open

Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat P. Müller‐Stich , et al. · 2019

Predictors of Risk and Success of Obesity Surgery Open

Felix Nickel, Javier R. de la Garza, Fabian S. Werthmann, Laura Benner, Christian Tapking , et al. · 2019

Background: Obesity surgery has proven successful for weight loss and the resolution of comorbidities. There is, however, little evidence on its success and the risk of complications when considering age of onset of obesity (…

Prediction of laparoscopic procedure duration using unlabeled,\n multimodal sensor data Open

Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat P. Müller‐Stich , et al. · 2018

Purpose The course of surgical procedures is often unpredictable, making it\ndifficult to estimate the duration of procedures beforehand. A context-aware\nmethod that analyses the workflow of an intervention online and automatically\npredi…

Real-time image-based instrument classification for laparoscopic surgery Open

Sebastian Bodenstedt, Antonia Ohnemus, Darko Katić, Anna-Laura Wekerle, Martin Wagner , et al. · 2018

During laparoscopic surgery, context-aware assistance systems aim to alleviate some of the difficulties the surgeon faces. To ensure that the right information is provided at the right time, the current phase of the intervention has to be …

Surgical Data Science: A Consensus Perspective Open

Lena Maier‐Hein, Matthias Eisenmann, Carolin Feldmann, Hubertus Feußner, Germain Forestier , et al. · 2018

Surgical data science is a scientific discipline with the objective of improving the quality of interventional healthcare and its value through capturing, organization, analysis, and modeling of data. The goal of the 1st workshop on Surgic…

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning Open

Tobias Roß, David Zimmerer, Anant Vemuri, Fabian Isensee, Manuel Wiesenfarth , et al. · 2018

IMHOTEP: virtual reality framework for surgical applications Open

Micha Pfeiffer, Hannes Kenngott, Anas Amin Preukschas, Matthias Huber, Lisa Bettscheider , et al. · 2018

Implementing, Connecting, and Evaluating a Standard-Based Integrated Operating Room within a German University Hospital Open

Raluca Dees, Angela Merzweiler, Gerd K. Schneider, Martin Kasparick, Lars Mündermann , et al. · 2018

Background Digital operating rooms (ORs), when optimally designed and integrated, can reduce the complexity of the surgery suite. However, many integrated ORs are effectively isolated from other IT systems in the hospital because there is …

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