VLDB 2026 Research / reviewers in the wild / expert
Hauke Lang
dblp:66/11530
· DBLP profile ↗
5ranked-venue papers
0as first author
4since 2021 · last 2024
0000-0001-9303-2148ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 4 · 4 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
2 papers |
Virtual and augmented reality · 100% | |
| Human-computer interaction and pervasive computing
2 papers |
Haptics and multimodal interaction · 50% Learning and educational technologies · 38% Immersive interaction · 12% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › medical virtual reality
medical training simulator |
0.7 | 1 | 2023 | LiVRSono - Virtual Reality Training with Haptics for Intraoperative Ultrasound · ISMAR 2023 |
Virtual and augmented reality
virtual reality |
0.7 | 1 | 2023 | LiVRSono - Virtual Reality Training with Haptics for Intraoperative Ultrasound · ISMAR 2023 |
Haptics and multimodal interaction
haptic feedback |
0.7 | 1 | 2023 | LiVRSono - Virtual Reality Training with Haptics for Intraoperative Ultrasound · ISMAR 2023 |
Learning and educational technologies › medical education
anatomy education |
0.5 | 1 | 2021 | A VR/AR Environment for Multi-User Liver Anatomy Education · VR 2021 |
Immersive interaction
usability and presence evaluation |
0.1 | 1 | 2021 | A VR/AR Environment for Multi-User Liver Anatomy Education · VR 2021 |
Methods — techniques the papers use, named apart from their topics
ultrasound simulation · 2.0patient-specific data · 2.0user study · 1.0semi-structured interviews · 1.0questionnaire · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Advanced liver surgery training in collaborative VR environmentsabstractVirtual surgical training systems are crucial for enabling mental preparation, supporting decision-making, and improving surgical skills. Many virtual surgical training environments focus only on training for a specific medical skill and take place in a single virtual room. However, surgical education and training include the planning of procedures as well as interventions in the operating room context. Moreover, collaboration among surgeons and other medical professionals is only applicable to a limited extent. This work presents a collaborative VR environment similar to a virtual teaching hospital to support surgical training and interprofessional collaboration in a co-located or remote environment. The environment supports photo-realistic avatars and scenarios ranging from planning to training procedures in the virtual operating room. It includes a lobby, a virtual surgical planning room with four surgical planning stations, laparoscopic liver surgery training with the integration of laparoscopic surgical instruments, and medical training scenarios for interprofessional team training in a virtual operating room. Each component was evaluated by domain experts as well as in a series of user studies, providing insights on usability, usefulness, and potential research directions. The proposed environment may serve as a foundation for future medical training simulators. Vuthea Chheang, Danny Schott, Patrick Saalfeld, Lukas Vradelis, Tobias Huber, Florentine Huettl, Hauke Lang, Bernhard Preim, Christian Hansen 0001 |
Comput. Graph. | 7 |
| 2023 | LiVRSono - Virtual Reality Training with Haptics for Intraoperative UltrasoundabstractOne of the biggest challenges in using ultrasound (US) is learning to create a spatial mental model of the interior of the scanned object based on the US image and the probe position. As intraoperative ultrasound (IOUS) cannot be easily trained on patients, we present LiVRSono, an immersive VR application to train this skill. The immersive environment, including an US simulation with patientspecific data as well as haptics to support hand-eye coordination, provides a realistic setting. Four clinically relevant training scenarios were identified based on the described learning goal and the workflow of IOUS for liver. The realism of the setting and the training scenarios were evaluated with eleven physicians, of which six participants are experts in IOUS for liver and five participants are potential users of the training system. The setting, handling of the US probe, and US image were considered realistic enough for the learning goal. Regarding the haptic feedback, a limitation is the restricted workspace of the input device. Three of the four training scenarios were rated as meaningful and effective. A pilot study regarding learning outcome shows positive results, especially with respect to confidence and perceived competence. Besides the drawbacks of the input device, our training system provides a realistic learning environment with meaningful scenarios to train the creation of a mental 3D model when performing IOUS. We also identified important improvements to the training scenarios to further enhance the training experience. Mareen Allgaier, Florentine Huettl, Laura Isabel Hanke, Hauke Lang, Tobias Huber, Bernhard Preim, Sylvia Saalfeld, Christian Hansen 0001 |
ISMAR | 4 |
| 2021 | A VR/AR Environment for Multi-User Liver Anatomy EducationabstractWe present a Virtual and Augmented Reality multi-user prototype of a learning environment for liver anatomy education. Our system supports various training scenarios ranging from small learning groups to classroom-size education, where students and teachers can participate in virtual reality, augmented reality, or via desktop PCs. In an iterative development process with surgeons and teachers, a virtual organ library was created. Nineteen liver data sets were used comprising 3D surface models, 2D image data, pathology information, diagnosis and treatment decisions. These data sets can interactively be sorted and investigated individually regarding their volumetric and meta information. The three participation modes were evaluated within a user study with surgery lecturers (5) and medical students (5). We assessed the usability and presence using questionnaires. Additionally, we collected qualitative data with semistructured interviews. A total of 435 individual statements were recorded and summarized to 49 statements. The results show that our prototype is usable, induces presence, and potentially support the teaching of liver anatomy and surgery in the future. Danny Schott, Patrick Saalfeld, Gerd Schmidt, Fabian Joeres, Christian Boedecker, Florentine Huettl, Hauke Lang, Tobias Huber, Bernhard Preim, Christian Hansen 0001 |
VR | 7 |
| 2021 | A collaborative virtual reality environment for liver surgery planning
Vuthea Chheang, Patrick Saalfeld, Fabian Joeres, Christian Boedecker, Tobias Huber, Florentine Huettl, Hauke Lang, Bernhard Preim, Christian Hansen 0001 |
Comput. Graph. | 7 |
| 2001 | Research Paper: Classifications in Routine Use: Lessons from ICD-9 and ICPM in Surgical PracticeabstractOBJECTIVE: Classifications of diagnoses and procedures are very important for the economical as well as the quality assessment of surgical departments. They should reflect the morbidity of the patients treated and the work done. The authors investigated the fulfillment of these requirements by ICD-9 (International Classification of Diseases: 9th Revision) and OPS-301, a German adaptation of the ICPM (International Classification of Procedures in Medicine), in clinical practice. DESIGN: A retrospective study was conducted using the data warehouse of the Surgical Center II at the Medical Faculty in Essen, Germany. The sample included 28,293 operations from the departments of general surgery, neurosurgery, and trauma surgery. Distribution of cases per ICD-9 and OPS-301 codes, aggregation through the digits of the codes, and concordance between the classifications were used as measurements. Median and range were calculated as distribution parameters. The concentration of cases per code was graphed using Lorenz curves. The most frequent codes of diagnoses were compared with the most frequent codes of surgical procedures concerning their medical information. RESULTS: The total number of codes used from ICD-9 and OPS-301 went up to 14 percent, depending on the surgical field. The median number of cases per code was between 2 and 4. The concentration of codes was enormous: 10 percent of the codes were used for about 70 percent of the surgical procedures. The distribution after an aggregation by digit was better with OPS-301 than with ICD-9. The views with OPS-301 and ICD-9 were quite different. CONCLUSION: Statistics based on ICD-9 or OPS-301 will not properly reflect the morbidity in different surgical departments. Neither classification adequately represents the work done by surgical staff. This is because of an uneven granularity in the classifications. The results demand a replacement of the ICD-9 by an improved terminological system in surgery. The OPS-301 should be maintained and can be used at least in the medium term. Jürgen Stausberg, Hauke Lang, Udo Obertacke, Friedhelm Rauhut |
J. Am. Medical Informatics Assoc. | 2 |