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  <doc>
    <id>8730</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-12-16</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Impact of Model Parameters on Ground Reaction Force Predictions in Musculoskeletal Modelling</title>
    <abstract language="eng">This study evaluated how model parameters affect ground reaction force (GRF) predictions in musculoskeletal simulations. A parameter study varying contact height and velocity thresholds and marker weights was conducted. While height and velocity thresholds had minimal impact, marker weights impact prediction errors. These findings highlight the importance of carefully selecting model parameters.</abstract>
    <parentTitle language="eng">ISB 2025 - The XXX Congress of the International Society of Biomechanics, 27-31 July, Stockholm</parentTitle>
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    <author>Lukas Gschoßmann</author>
    <author>Franz Süß</author>
    <author>Sebastian Dendorfer</author>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="institutes" number="RCHST">Regensburg Center of Health Sciences and Technology - RCHST</collection>
    <collection role="persons" number="dendorferlbmconf">Dendorfer, Sebastian (Prof. Dr.), Konferenzbeiträge - Labor Biomechanik</collection>
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  </doc>
  <doc>
    <id>8705</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
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    <completedDate>2025-07-29</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Gait parameter based fall risk scoring</title>
    <abstract language="eng">This study explored the connection between subjective self-assessed gait insecurities and objective movement scores. 93 subjects answered detailed fall risk questionnaires and performed functional tests. Significantly different movement patterns between fallers and non-fallers were found.</abstract>
    <enrichment key="ConferenceStatement">ISB 2025, 30th Congress of the International Society of Biomechanics, 27-31 July, Stockholm, Sweden</enrichment>
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    <author>Leonhard Stein</author>
    <author>Paul Schmitz</author>
    <author>Rainer Kretschmer</author>
    <author>Sebastian Dendorfer</author>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="institutes" number="RCHST">Regensburg Center of Health Sciences and Technology - RCHST</collection>
    <collection role="persons" number="dendorferlbmconf">Dendorfer, Sebastian (Prof. Dr.), Konferenzbeiträge - Labor Biomechanik</collection>
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  <doc>
    <id>8726</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
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    <completedDate>2025-12-16</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Evaluating the loads on the female pelvic floor during full-body activities using computational models</title>
    <abstract language="eng">This work investigated the loads on the female pelvic floor during various full-body movements using computational models to calculate abdominal pressure and organ dynamic loads. While high-impact exercises resulted in higher loads, other movements showed lower loads, potentially indicating, which movements may be performed without risking pelvic floor overload and subsequent dysfunctions.</abstract>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Nikolas Förstl</author>
    <author>Ina Adler</author>
    <author>Franz Süß</author>
    <author>Magdalena Jansová</author>
    <author>Jan Vychytil</author>
    <author>Sebastian Dendorfer</author>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="institutes" number="RCHST">Regensburg Center of Health Sciences and Technology - RCHST</collection>
    <collection role="persons" number="dendorferlbmconf">Dendorfer, Sebastian (Prof. Dr.), Konferenzbeiträge - Labor Biomechanik</collection>
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  </doc>
  <doc>
    <id>8728</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
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    <completedDate>2025-12-16</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Predicting intra-abdominal pressure during walking and running</title>
    <abstract language="eng">Intra-abdominal pressure (IAP) is an important physiological parameter, which is difficult to measure during physical activity. In this study, motion capture, musculoskeletal modeling and a transformer encoder model are used to predict IAP during walking and running. The model showed promising results with an overall mean percentage error of 13.5% and a Pearson correlation coefficient of 0.85. Minor challenges included the lower accuracy for fast walking and running and the limited amount of data. All in all, the prediction of IAP was successful, which opens up prospects for further applications.</abstract>
    <parentTitle language="deu">ISB 2025 - The XXX Congress of the International Society of Biomechanics, 27-31. July 2025, Stockholm</parentTitle>
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    <author>Mareike Barthel</author>
    <author>Franz Süß</author>
    <author>Sebastian Dendorfer</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Intra-abdominal pressure; machine learning; motion capture; musculoskeletal modeling; transformer encoder</value>
    </subject>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="institutes" number="RCHST">Regensburg Center of Health Sciences and Technology - RCHST</collection>
    <collection role="persons" number="dendorferlbmconf">Dendorfer, Sebastian (Prof. Dr.), Konferenzbeiträge - Labor Biomechanik</collection>
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    <collection role="othforschungsschwerpunkt" number="">Digitale Transformation</collection>
  </doc>
  <doc>
    <id>8471</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>36</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>preprint</type>
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    <title language="eng">Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge</title>
    <abstract language="eng">Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minimally invasive surgery (RAMIS), including surgical training, skill assessment, and autonomous assistance. However, robust performance under real-world conditions remains a significant challenge. Incorporating surgical context - such as the current procedural phase - has emerged as a promising strategy to improve robustness and interpretability. To address these challenges, we organized the Surgical Procedure Phase, Keypoint, and Instrument Recognition (PhaKIR) sub-challenge as part of the Endoscopic Vision (EndoVis) challenge at MICCAI 2024. We introduced a novel, multi-center dataset comprising thirteen full-length laparoscopic cholecystectomy videos collected from three distinct medical institutions, with unified annotations for three interrelated tasks: surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation. Unlike existing datasets, ours enables joint investigation of instrument localization and procedural context within the same data while supporting the integration of temporal information across entire procedures. We report results and findings in accordance with the BIAS guidelines for biomedical image analysis challenges. The PhaKIR sub-challenge advances the field by providing a unique benchmark for developing temporally aware, context-driven methods in RAMIS and offers a high-quality resource to support future research in surgical scene understanding.</abstract>
    <identifier type="arxiv">2507.16559</identifier>
    <note>Der Aufsatz wurde peer-reviewed veröffentlicht und ist ebenfalls in diesem Repositorium verzeichnet unter: https://opus4.kobv.de/opus4-oth-regensburg/frontdoor/index/index/start/0/rows/10/sortfield/score/sortorder/desc/searchtype/simple/query/10.1016%2Fj.media.2026.103945/docId/8846</note>
    <enrichment key="opus.import.date">2025-08-11T19:43:46+00:00</enrichment>
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    <licence>Creative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell -  Weitergabe unter gleichen Bedingungen 4.0 International</licence>
    <author>Tobias Rückert</author>
    <author>David Rauber</author>
    <author>Raphaela Maerkl</author>
    <author>Leonard Klausmann</author>
    <author>Suemeyye R. Yildiran</author>
    <author>Max Gutbrod</author>
    <author>Danilo Weber Nunes</author>
    <author>Alvaro Fernandez Moreno</author>
    <author>Imanol Luengo</author>
    <author>Danail Stoyanov</author>
    <author>Nicolas Toussaint</author>
    <author>Enki Cho</author>
    <author>Hyeon Bae Kim</author>
    <author>Oh Sung Choo</author>
    <author>Ka Young Kim</author>
    <author>Seong Tae Kim</author>
    <author>Gonçalo Arantes</author>
    <author>Kehan Song</author>
    <author>Jianjun Zhu</author>
    <author>Junchen Xiong</author>
    <author>Tingyi Lin</author>
    <author>Shunsuke Kikuchi</author>
    <author>Hiroki Matsuzaki</author>
    <author>Atsushi Kouno</author>
    <author>João Renato Ribeiro Manesco</author>
    <author>João Paulo Papa</author>
    <author>Tae-Min Choi</author>
    <author>Tae Kyeong Jeong</author>
    <author>Juyoun Park</author>
    <author>Oluwatosin Alabi</author>
    <author>Meng Wei</author>
    <author>Tom Vercauteren</author>
    <author>Runzhi Wu</author>
    <author>Mengya Xu</author>
    <author> an Wang</author>
    <author>Long Bai</author>
    <author>Hongliang Ren</author>
    <author>Amine Yamlahi</author>
    <author>Jakob Hennighausen</author>
    <author>Lena Maier-Hein</author>
    <author>Satoshi Kondo</author>
    <author>Satoshi Kasai</author>
    <author>Kousuke Hirasawa</author>
    <author>Shu Yang</author>
    <author>Yihui Wang</author>
    <author>Hao Chen</author>
    <author>Santiago Rodríguez</author>
    <author>Nicolás Aparicio</author>
    <author>Leonardo Manrique</author>
    <author>Juan Camilo Lyons</author>
    <author>Olivia Hosie</author>
    <author>Nicolás Ayobi</author>
    <author>Pablo Arbeláez</author>
    <author>Yiping Li</author>
    <author>Yasmina Al Khalil</author>
    <author>Sahar Nasirihaghighi</author>
    <author>Stefanie Speidel</author>
    <author>Daniel Rückert</author>
    <author>Hubertus Feussner</author>
    <author>Dirk Wilhelm</author>
    <author>Christoph Palm</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="institutes" number="RCHST">Regensburg Center of Health Sciences and Technology - RCHST</collection>
    <collection role="persons" number="palmremic">Palm, Christoph (Prof. Dr.) - ReMIC</collection>
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    <collection role="othforschungsschwerpunkt" number="">Gesundheit und Soziales</collection>
  </doc>
  <doc>
    <id>8729</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>1</pageNumber>
    <edition/>
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    <completedDate>2025-12-16</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Mechanistic analysis of pelvic floor functionality using musculoskeletal simulation</title>
    <abstract language="eng">There is consensus that knowledge about the fundamentals of the pelvic floor remains incomplete, particularly regarding the sensitivity of individual pelvic floor muscles to posture variations. This study aimed to investigate the effects of variations in pelvic tilt and the point of force application induced by changes in posture on pelvic floor activity using musculoskeletal simulation. A parameter study analysed various loading cases, highlighting the coherent response of&#13;
individual pelvic floor muscles to loads. Muscle activities and forces were compared across different force application points and pelvic tilt angles. A key finding was identifying peak muscle activity conditions that could help better understand the causes of pelvic floor disorders.</abstract>
    <parentTitle language="deu">ISB 2025 - The XXX Congress of the International Society of Biomechanics, 27-31 July 2025, Stockholm</parentTitle>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-87294</identifier>
    <identifier type="doi">10.35096/othr/pub-8729</identifier>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Ina Adler</author>
    <author>Nikolas Förstl</author>
    <author>Hana Čechová</author>
    <author>Vít Nováček</author>
    <author>Franz Süß</author>
    <author>Sebastian Dendorfer</author>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="institutes" number="RCHST">Regensburg Center of Health Sciences and Technology - RCHST</collection>
    <collection role="persons" number="dendorferlbmconf">Dendorfer, Sebastian (Prof. Dr.), Konferenzbeiträge - Labor Biomechanik</collection>
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    <collection role="othforschungsschwerpunkt" number="">Gesundheit und Soziales</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/8729/ISB_Poster_Adler.pdf</file>
  </doc>
  <doc>
    <id>8725</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>1</pageNumber>
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    <completedDate>2025-12-16</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Evaluating Knee Joint Loads Across Exercises and Activities of Daily Living to Personalize TKA Rehabilitation</title>
    <abstract language="eng">This study assessed knee joint loading during various physiotherapy exercises and activities of daily living in 30 healthy subjects. Results showed that lunges and squats caused the highest joint forces, while gait and stair activities also imposed substantial loads. These findings support datadriven exercise selection for personalized rehabilitation after total knee arthroplasty.</abstract>
    <parentTitle language="eng">ISB 2025 - The XXX Congress of the International Society of Biomechanics, 27.-31. July 2025, Stockholm</parentTitle>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-87252</identifier>
    <identifier type="doi">10.35096/othr/pub-8725</identifier>
    <enrichment key="opus.source">publish</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Lukas Gschoßmann</author>
    <author>Valentin Schedel</author>
    <author>Franz Süß</author>
    <author>Markus Weber</author>
    <author>Andrea Pfingsten</author>
    <author>Sebastian Dendorfer</author>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="institutes" number="RCHST">Regensburg Center of Health Sciences and Technology - RCHST</collection>
    <collection role="institutes" number="">Labor Biomechanik (LBM)</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Gesundheit und Soziales</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/8725/Abstract_Gschossmann_1.pdf</file>
  </doc>
  <doc>
    <id>8869</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>researchdata</type>
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    <title language="eng">PhaKIR Dataset - Surgical Procedure Phase, Keypoint, and Instrument Recognition [Data set]</title>
    <abstract language="eng">Note: A script for extracting the individual frames from the video files while preserving the challenge-compliant directory structure and frame-to-mask naming conventions is available on GitHub and can be accessed here: https://github.com/remic-othr/PhaKIR_Dataset.&#13;
&#13;
The dataset is described in the following publications: &#13;
&#13;
    Rueckert, Tobias et al.: Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. arXiv preprint, https://arxiv.org/abs/2507.16559. 2025.&#13;
    Rueckert, Tobias et al.: Video Dataset for Surgical Phase, Keypoint, and Instrument Recognition in Laparoscopic Surgery (PhaKIR). arXiv preprint, https://arxiv.org/abs/2511.06549. 2025.&#13;
&#13;
The proposed dataset was used as the training dataset in the PhaKIR challenge (https://phakir.re-mic.de/) as part of EndoVis-2024 at MICCAI 2024 and consists of eight real-world videos of human cholecystectomies ranging from 23 to 60 minutes in duration. The procedures were performed by experienced physicians, and the videos were recorded in three hospitals. In addition to existing datasets, our annotations provide pixel-wise instance segmentation masks of surgical instruments for a total of 19 categories, coordinates of relevant instrument keypoints (instrument tip(s), shaft-tip transition, shaft), both at an interval of one frame per second, and specifications regarding the intervention phases for a total of eight different phase categories for each individual frame in one dataset and thus comprehensively cover instrument localization and the context of the operation. Furthermore, the provision of the complete video sequences offers the opportunity to include the temporal information regarding the respective tasks and thus further optimize the resulting methods and outcomes.</abstract>
    <identifier type="doi">10.5281/zenodo.15740620</identifier>
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    <licence>Creative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell -  Weitergabe unter gleichen Bedingungen 4.0 International</licence>
    <author>Tobias Rueckert</author>
    <author>David Rauber</author>
    <author>Leonard Klausmann</author>
    <author>Max Gutbrod</author>
    <author>Daniel Rueckert</author>
    <author>Hubertus Feussner</author>
    <author>Dirk Wilhelm</author>
    <author>Christoph Palm</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="institutes" number="RCHST">Regensburg Center of Health Sciences and Technology - RCHST</collection>
    <collection role="persons" number="palmremic">Palm, Christoph (Prof. Dr.) - ReMIC</collection>
    <collection role="institutes" number="">Labor Regensburg Medical Image Computing (ReMIC)</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Digitale Transformation</collection>
  </doc>
  <doc>
    <id>8859</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>1</pageNumber>
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    <completedDate>2026-02-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Experimental Investigation of Shear-Induced Generation of Respiratory Aerosol: Simultaneous Measurements of Particle Quantities and Wave Topology</title>
    <abstract language="eng">Despite the high level of attention on infectious respiratory aerosol during the Covid19 pandemic, little is known about the processes how these particles form inside the respiratory system. Understanding the underlying fluid mechanical processes and their influencing factors would enable the development of drugs to suppress the generation of infectious aerosol. In the proposed work, we focus on the shear-induced mechanism of aerosol generation, which is supposed to occur mostly in the larger airways during coughing. In this process, high air velocities trigger Kelvin-Helmholtz waves in the mucus film, which lines the air vessels. Through a series of instabilities, particles detach from the crest of these waves.&#13;
In the proposed work, we investigate the process of shear-induced aerosol generation in idealized experiments where we vary the air-flow characteristics and the properties of the mucus fluid. Our central aim here is to deduct an empirical model of the quantity and size distribution of generated particles depending on the mucus rheology and the local shear flow. Further, we observe the wave topology to better understand the coupling between the air flow and the waves.&#13;
In our experimental setup, we measure the quantity of created particles and the emerging waves simultaneously. To ensure controllable conditions, we simplify the complex flow conditions in the airways. We use a rectangular channel with the bottom wall covered in a mucus mimetic. The mucus mimetic fluid is a synthetic hydrogel developed to recreate the viscoelastic properties and low surface tensions of the mucus. Filtered pressurized air is guided through the channel to trigger shear-induced aerosol generation. After passing the mucus mimetic, the air enters into a collection chamber from where particles are sampled continuously by an aerosol spectrometer. To measure wave topology, we use planar laser induced fluorescence. For this, we stain the mucus mimetic with fluorescent dyes and illuminate a line on the surface of the fluid film with a 532 nm laser. A high-resolution camera captures the resulting fluorescent glow of the mucus mimetic. Figure 1 presents exemplary wave topology results from the experiments, employing varying air flow volume rates, mucus mimetic gel properties, and different configurations of the laser and camera. The resulting wave topologies exhibit significant variation. For the conference, we will conduct parameter studies&#13;
of the particle quantities and wave topology while varying the mucus mimetic properties and the flow&#13;
rate of the air. Additionally, we will present grid projection-based techniques to extend the single-line wave measurements and asses the entire surface of the mucus film.</abstract>
    <parentTitle language="eng">2nd European Fluid Dynamics Conference (EFDC2), 26-29 August 2025, Dublin, Ireland</parentTitle>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-88593</identifier>
    <identifier type="doi">10.35096/othr/pub-8859</identifier>
    <enrichment key="BegutachtungStatus">begutachtet</enrichment>
    <enrichment key="Kostentraeger">Initiative and networking fund of the Helmholtz Association of German Research Centers under the CORAERO Project (Grant KA1-Co-06) - Labor für Biofluidmechanik</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">true</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Johanna Michel</author>
    <author>Lars Krenkel</author>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="">Gesundheit und Soziales</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/8859/EFDC2_Abstract_Michel_Submission_komprimiert.pdf</file>
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