-
Article
Open AccessHeiPorSPECTRAL - the Heidelberg Porcine HyperSPECTRAL Imaging Dataset of 20 Physiological Organs
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 surg...
-
Article
Open AccessCorrection to: Robust hand tracking for surgical telestration
-
Article
Open AccessRobust hand tracking for surgical telestration
As human failure has been shown to be one primary cause for post-operative death, surgical training is of the utmost socioeconomic importance. In this context, the concept of surgical telestration has been int...
-
Article
Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data
The course of surgical procedures is often unpredictable, making it difficult to estimate the duration of procedures beforehand. This uncertainty makes scheduling surgical procedures a difficult task. A contex...
-
Article
Toward a standard ontology of surgical process models
The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science (SDS). However, past and existing initiatives in the domain of surg...
-
Article
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
Surgical data science is a new research field that aims to observe all aspects of the patient treatment process in order to provide the right assistance at the right time. Due to the breakthrough successes of ...
-
Article
IMHOTEP: virtual reality framework for surgical applications
The data which is available to surgeons before, during and after surgery is steadily increasing in quantity as well as diversity. When planning a patient’s treatment, this large amount of information can be di...
-
Article
Surgical data science for next-generation interventions
Interventional healthcare will evolve from an artisanal craft based on the individual experiences, preferences and traditions of physicians into a discipline that relies on objective decision-making on the bas...
-
Article
Projective biomechanical depth matching for soft tissue registration in laparoscopic surgery
A key component of computer- assisted surgery systems is the accurate and robust registration of preoperative planning data with intraoperative sensor data. In laparoscopic surgery, this image-based registrati...
-
Article
Development and validation of a sensor- and expert model-based training system for laparoscopic surgery: the iSurgeon
Training and assessment outside of the operating room is crucial for minimally invasive surgery due to steep learning curves. Thus, we have developed and validated the sensor- and expert model-based laparoscop...
-
Article
Toward cognitive pipelines of medical assistance algorithms
Assistance algorithms for medical tasks have great potential to support physicians with their daily work. However, medicine is also one of the most demanding domains for computer-based support systems, since m...
-
Article
Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy
Computer assistance is increasingly common in surgery. However, the amount of information is bound to overload processing abilities of surgeons. We propose methods to recognize the current phase of a surgery f...
-
Article
Robust augmented reality guidance with fluorescent markers in laparoscopic surgery
Laparoscopic interventions require the precise navigation of medical instruments through the patient’s body, while taking critical structures into account. Although numerous concepts have been proposed for dis...
-
Article
Open AccessRobust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regression
Multispectral imaging can provide reflectance measurements at multiple spectral bands for each image pixel. These measurements can be used for estimation of important physiological parameters, such as oxygenat...
-
Article
Erratum to: LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition
-
Article
Image-based laparoscopic bowel measurement
Minimally invasive interventions offer benefits for patients, while also entailing drawbacks for surgeons, such as the loss of depth perception. Thus estimating distances, which is of particular importance in ...
-
Chapter and Conference Paper
Robuste intraoperative Registrierung mit fluoreszierenden Markern für die computergestützte Laparoskopie
Laparoskopische Interventionen erfordern die präzise Navigation von chirurgischen Instrumenten unter Berücksichtigung von Risikostrukturen. Obwohl zahlreiche Konzepte zur Einblendung von anatomischen Details a...
-
Article
LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition
The rise of intraoperative information threatens to outpace our abilities to process it. Context-aware systems, filtering information to automatically adapt to the current needs of the surgeon, are necessary t...
-
Article
Open AccessLaparoscopic mesh-augmented hiatoplasty without fundoplication as a method to treat large hiatal hernias
Laparoscopic hiatal hernia repair with additional fundoplication is a commonly recommended standard surgical treatment for symptomatic large hiatal hernias with paraesophageal involvement (PEH). However, due t...
-
Chapter and Conference Paper
Knowledge-Driven Formalization of Laparoscopic Surgeries for Rule-Based Intraoperative Context-Aware Assistance
The rise of intraoperatively available information threatens to outpace our abilities to process data and thus cause informational overload. Context-aware systems, filtering information to match the current si...
