Typically, both the electronic components and the associated software are developed, as the two are very closely interlinked. A particular focus is on mobile diagnostics. Examples include outpatient sleep diagnostics and the monitoring of neurological patients (e.g. Parkinson’s disease). The technologies used can easily be applied to the fields of rehabilitation and sports medicine.
Research is also being conducted in the field of circulatory diagnostics, e.g. the detection of embolisms using ultrasound (acute stroke, open heart/brain surgery). Here, thrombi or air bubbles that can cause a pulmonary embolism or a stroke are detected. At the same time, blood flow can also be assessed generally. AI methods, e.g. for image recognition, are also intended to support clinical medical diagnostics.
Project leader: Prof. Dr. Neltje Piro
Co-project leader: Prof. Dr. Ronald Blechschmidt
Project duration: 01.02.2025 - 31.01.2028
Funded by: Federal Government - BMBF
Program name: START - interactive: interactive technologies for health and quality of life
Project description:
The aim of the research project is to offer people with periodic leg movements during sleep (PLMS) the opportunity to monitor their therapy in their home environment as required and to provide them with recommendations for action. The aim is to enable successful therapy monitoring and minimize the need for medication with strong side effects. By using readily available sensor technology in combination with an AI-based evaluation of the data obtained, a system is to be created that meets the requirements of a medical device and at the same time makes the high complexity of the necessary measurement data manageable. AI makes it possible to recognize correlations between the data that are difficult for humans to identify, so that subjective patient impressions can be made usable and incorporated into the therapy evaluation. A user-centered development approach is chosen that involves patients and self-help groups from the very beginning in order to continuously query their feedback and needs. The long-term goal is to provide patient care throughout Germany.
Further information on the project
Project manager: Prof. Dr. Ronald Blechschmidt
Project duration: 01.02.2023 - 31.01.2026
Funded by: Federal Government - BMBF
Program name: START - interactive: interactive technologies for health and quality of life
Project description:
Communicating with infants about their state of health is difficult. This makes it difficult to recognize potentially dangerous diseases. Infants and young children are therefore a sensitive patient group and need special attention.
The project involves the development of a smart, diagnostic pacifier that records a child's most important vital signs. The measured values are evaluated and clearly displayed on mobile devices with the help of artificial intelligence. This enables parents without medical expertise to assess their child's state of health. If necessary, parents can also exchange the data collected with medical facilities.
The soother could also be used in a clinical setting for child-friendly monitoring of vital parameters.
The smart soother therefore offers a new type of platform and interface for measuring and transmitting health data. The aim of the research team is a spin-off.
Project manager: Prof. Dr. Reinhold von Schwerin
Project duration: 07/2020 - open
Project description:
An emergency patient with a suspected coronavirus infection arrives at a clinic. For the further course of treatment, it is essential to assess whether it is actually a Covid-19 infection. Artificial intelligence (AI) could play a key role in this in the future: It should support doctors in the initial assessment of the existing disease.
As part of a joint project, scientists at THU and Ulm University Hospital are researching the extent to which artificial intelligence and X-ray images of the lungs can be used to make statements about an existing coronavirus infection. The artificial intelligence is being trained to determine whether the patient is suffering from a lung infection, whether it is Covid-19 and, if so, how severe the infection is and which part of the lung is affected. X-rays offer great advantages in the treatment of lung infections such as Covid-19. They are faster than most other procedures, can be used flexibly and are only associated with low radiation exposure. Image analysis using artificial intelligence will further enhance these advantages.
With the help of deep learning and transfer learning, pre-trained multilayer (also: deep) networks, which have already learned which features in an image are important, are adapted to a specific problem and artificial intelligence can thus provide an initial assessment of the presence of coronavirus disease.
Further information in an interview on SWR 2.
Project manager: Prof. Dr. Heiko Peuscher
Project duration: 03/2020 - open
Project description:
At the end of the 1990s, a phantom was set up at THU to simulate the human lung. The heart of the test rig is a transparent cylinder inside which a piston can be moved by a linear drive. Thanks to optimized mechanical properties and a sophisticated control algorithm, the "transparent lung" imitates the dynamic behavior of a human lung very realistically.
At the beginning of the Covid19 pandemic, the system was modernized and put back into operation in order to be able to measure ventilators or components such as spirometers, pneuomotachographs or PEEP valves with high precision. Thanks to IEC61131-3-compliant PLC programming in Codesys, the setup offers the option of flexibly selecting and setting different operating modes and patient profiles.
Project managers: Prof. Dr. Heiko Peuscher, Prof. Dr. Dr. Ronald Blechschmidt
Project duration: 03/2019 - open
Project description:
The regular manual dosing of exogenous insulin in the treatment of type 1 diabetes mellitus represents an enormous psychological burden for those affected. The goal of relieving patients by automating blood glucose regulation in everyday life and also improving its quality has therefore been pursued since the 1980s ("Ulm sugar clock"). Progress has finally been made recently: In addition to commercial providers who have certified hybrid systems and brought them to market, the "do-it-yourself" system OpenAPS, which is based on a simple and comprehensible control algorithm, is also becoming increasingly important.
As part of several theses and master's projects, the functioning of the algorithm was analyzed and simulated using closed-loop models. Our aim is to imitate the formal approval process by the US FDA and to further develop and improve the algorithm with the help of simulations.
Project manager: Prof. Dr. Alfred Franz
Project duration: 01.04.2019 - 31.03.2023
Funded by: Federal Government - BMWi
Program name: ZIM
Project description:
In thrombectomy, a blood clot in the brain (thrombus) is removed with a catheter. Currently, however, the thrombus cannot yet be successfully removed in all patients. One reason for this is the poor visibility of the thrombus and underlying vascular structures in fluoroscopy during the intervention. Preoperative CT images show these structures better, but are not visible to the surgeon during the intervention. The aim of this project is the ThromboMap system, which displays all the necessary information to the doctor. To this end, a 3D map of the vascular system is to be generated from CT images. This can be displayed in relation to the fluoroscopy and the instruments used. Machine learning methods will be used to process the CT data and localize the instruments. In addition to visualization, the extracted vascular tree will also be used to register the fluoroscopic images.
Project managers: Prof. Dr. Martin Heßling, Prof. Dr. Thomas Engleder
Project duration: 10/2012 - open
Project description:
The University Hospital Ulm and the Technical University of Munich supported the national fencing team in improving training options and performance diagnostics. As part of two completed bachelor's projects and an ongoing bachelor's thesis, a fencing dummy was developed at Ulm University of Applied Sciences that has small self-luminous hit surfaces and can measure the reaction time of the athletes between an optical start signal and hitting the target. In the first version, this fencing dummy was still rigid and therefore represented an opponent that the athletes would not experience in competition. The dummy is now motorized and can move forwards and backwards, creating a more realistic competition situation. The weapon arm has been able to move since 2014.
Two publications on the fencing dummy were published in 2015. One of these was peer reviewed.
Project manager: Prof. Dr. Rainer Brucher
Project duration: 01.10.2013 - 31.03.2018
Project description:
The aim of the joint project "SomnoSound" is to develop cost-effective apnoea sleep diagnostics with a view to screening, while also achieving improved wearing comfort for the homecare sector. The sensor technology to be developed is used to record structure-borne sound combined with the detection of the 3D sleep position and movements on the patient. Using a miniaturized microphone, acceleration and gyroscope sensors on the neck and chest area, the signals are transmitted wirelessly to a base station, where the intelligent suppression of artefacts and the extraction of sleep parameters is carried out using AI methods in signal processing. The recording of the sleep position and movements are necessary to differentiate between the various structure-borne sound signals and serve to increase the reliability of the desired diagnostics. Patient comfort is ensured by the fact that only a maximum of two miniaturized adhesive sensors without cabling on the neck and chest should be necessary for sleep diagnostics.
Project manager: Prof. Dr. Rainer Brucher
Project duration: 18.03.2015 - 28.02.2018
Project description:
The aim of this research project is to develop an ultrasound Doppler method with an associated therapy catheter for the automatic detection of air embolisms in the superior vena cava and/or right atrium. On the one hand, a catheter optimized with regard to its maximum air aspiration capacity is to be combined with an ultrasound Doppler system. For the first time, a system can be created that enables a highly sensitive detection method with an optimal therapy option. Secondly, a quantification of the amount of air or gas that has penetrated is being developed based on Doppler spectral data. Finally, the software for automated detection and validation of the quantification of air emboli will be verified and optimized. In particular, the university has the task of developing and experimentally verifying the automatic detection and characterization of ultrasound Doppler signals for the quantitative detection of venous air volumes intraoperatively in the superior vena cava and in the right atrium. Once the project has been successfully completed, an innovative procedure with the associated system technology for the automatic detection and quantification of intraoperative air embolisms will be available. At the same time, this system will also considerably simplify and accelerate the associated therapy of aspiration of the penetrated air.
Project leaders: Prof. Dr. Rainer Brucher, Prof. Dr. Klaus Paulat
Project duration: 01.08.2016 - 01.09.2017
Project description:
The muscular connective tissue (fascia) forms a body-wide architectural tension network that envelops every muscle and every individual muscle fiber and connects them to other structures, thus forming compartments. Recent findings highlight a significant role of fascia in muscular force transmission, body awareness and many pain syndromes. The research group will specifically investigate the presence of contractile connective tissue cells in the fascia and the ability of the fascia to modulate its tissue tone (stiffness) thanks to these cells. In the first step, an impedance monitor was developed for this purpose, which allows compartment changes during physiotherapy procedures to be documented as objectively as possible. This will be followed by a follow-up study to demonstrate the effects described above.
Project manager: Prof. Dr. Klaus Paulat
Project description:
Intracranial pressure (ICP) increases after the intracranial reserve volume has been used up. Increased ICP leads on the one hand to direct parenchymal damage and on the other hand to cerebral hypoxia due to reduced perfusion with decreasing cerebral perfusion pressure (CPP). Modern neurological-neurosurgical intensive care medicine is aimed at normalizing the ICP in order to maintain a sufficient CPP. To this end, continuous recording of the ICP is an essential procedure in intensive care therapy. However, all previous standard procedures are associated with a surgical intervention, the opening of the bony skull. In the past, we have developed three different, physically independent methods to record intracranial pressure non-invasively, i.e. completely without cranial surgery, and to track its progress over time. However, all methods only provide qualitative results.
In Ms. Grebe's doctoral thesis, these measurements are now to be quantified using calibration methods. However, little progress was made in the 2015 reporting period, as the doctoral student accepted a position in industry and was therefore unable to invest much time in her doctorate. In 2016, this project is now to be finally completed with the submission of the dissertation.
Project manager: Prof. Dr. Klaus Paulat
Project duration: 2012 - 2015
Project description:
Drowning is one of the leading causes of death and serious, permanent injury to people worldwide. According to data from the World Health Organization (WHO), drowning causes around 500,000 deaths worldwide every year, or 0.7% of all causes of death. Early ventilation of drowning patients on land with a high concentration of oxygen is the aim. In addition, the European Resuscitation Council (ERC) has recently issued a recommendation to ventilate drowning patients while they are still in the water during a rescue swim. In this research project, we developed a rescue device back in 2012 with the help of Ms. Salzer (Ulm University of Applied Sciences) and Dr. Winkler (University of Ulm), which for the first time makes it possible to quickly and safely ventilate the casualty in the water with an oxygen cylinder and transport them away without losing time. This device was tested for practical use in open water in a larger study involving 17 professional rescuers and the Red Cross water rescue service. The results were published in 2015 under the title: "A novel rescue-tube utility for in-water resuscitation" in Aerospace Medicine and Human Performance.
Project leader: Prof. Dr. Klaus Paulat
Project duration: 2012 - 2015
Project description:
As a spin-off from the intracranial pressure project, the device was used to measure the electrical impedance for the dynamics of fluid changes in extremities: The aim of this study is to record changes in plantar structures and the Achilles tendon in order to document tension and fluid changes in the tissue. This should allow conclusions to be drawn about the underlying processes of an already described increase in movement. 61 test subjects aged between 22 and 75 were included in the study. 26 subjects form the verum group. The remaining subjects formed three control groups. Two different approaches to the treatment of connective tissue are being investigated in the study. Vibration was applied to one of the subjects' feet with a Matrix Rhythm Device® in the range of 8-10 Hz, while the other was treated with MELT® balls; care was taken to ensure that the same anatomical area was stimulated with both methods. The duration of each treatment was five minutes. The following measurements were taken before and after the applications: the finger-floor distance, the impedance of the foot, the tension of the Achilles tendon (using photo comparison) and the viscoelastic properties of the sole of the foot (determined using two constant measuring points with the MYOTON PRO®). The analysis of the measured data to date shows an increase in resistance for the impedance measurements when stretching with balls; this can be explained by a decrease in the amount of fluid in the tissue. In addition, the viscoelastic properties of the plantar fascia tissue change in the direction of decreasing stiffness. Vibration has an even greater effect on the viscoelastic properties in the heel area. The measurement parameters of the Achilles tendon indicate a relaxation and thus a reduction in the lower leg-foot angle. In 2015, the project was completed as part of Ms. Frenzel's master's thesis and presented at the 4th Fascia Research Congress in Washington. Furthermore, an overview lecture on the methodology of impedance and impedance tomography was given at the Fascia Research Congress Reisensburg (Günzburg) on November 17-18, 2015.
Project manager: Prof. Dr. Ronald Blechschmidt
Project duration: 01.07.2012 - 30.06.2015
Project description:
Parkinson's disease is a degenerative disease of the nervous system in which the motor skills of affected individuals are impaired due to the destruction of dopaminergic nerve cells in the brain. The successful long-term treatment of Parkinson's disease requires close and objective monitoring and a high level of care consistency. In order to record objective data from the patient's home situation, continuous monitoring at times is useful for assessing and recording the patient's current condition. Despite many positive publications, this technique is not used in practice due to the time-consuming evaluation of the data volumes generated. There is no procedure that is adapted to the needs of the treating neurologist. In this project, the diagnostic technique familiar to neurologists will be transferred to long-term observation. The recorded data is summarized in the Unified Parkinson Disease Rating Scale (UPDRS) and the movement disorder is displayed as an animated avatar. This provides the neurologist with the information that he also collects in practice. By adjusting the therapy more precisely, overdoses can be avoided and long-term consequences delayed (e.g. loss of effect of L-dopa). As a side effect, we expect an increase in compliance through improved patient-doctor interaction. In the future, the smartphone will take over the central evaluation of data and communication with the patient. In other words, it should prompt the patient to carry out reference exercises if necessary and record the medication intake. The patient can also record special events by voice. Our vision: Patients wear the device regularly (e.g. every third day) for 24 hours. The movement data is immediately evaluated by the smartphone in order to request the reference exercises as required. All the data collected provides both the patient and the treating specialist with an objective, chronological progression of symptoms. This allows the regularly occurring late effects of therapy to be postponed and the patient's quality of life to be improved. It would be ideal if the system could predict under- or overdosing and prophylactically prefer or postpone the administration of medication on an individual basis.
Project leader: Prof. Dr. Klaus Paulat
Project duration: 01.05.2014 - 20.08.2014
Project description:
In principle, intracranial pressure (ICP) can also be estimated using transcranial ultrasound Doppler in addition to the three methods we have developed. Worldwide, but especially in Germany, England and the USA, there is an effort to use this possibility for non-invasive ICP determination, because ultrasound Doppler is available in the intensive care unit anyway and therefore no further procedure would have to be used.
As part of a research semester, an attempt was made with the working group at the University of Washington in Seattle (USA) to significantly improve their results, which have varied widely to date. For example, the status of cerebral autoregulation and the remaining autoregulation reserve were not taken into account in their recordings and evaluations. However, this is a crucial prerequisite for the application of the method. However, as this aspect has not yet been taken into account or was too difficult to implement in clinical routine, there are no references to it in the data records. Thus, autoregulation had to be estimated from the available data, e.g. as a correlation of blood velocity and blood pressure. The results are currently being processed, formulated and will soon be published under the title: "A Multivariate Perspective of the Relationship between Intracranial Pressure, Blood Flow velocity and Arterial Blood Pressure".
Fichtl, Anna; Sheikhani, Alaan; Wagner, Martin; Kleger, Alexander; Müller, Martin; Sturm, Niklas; Walter, Benjamin; Franz, Alfred Michael:
Implementing an electromagnetic tracking navigation system improves the precision of endoscopic transgastric necrosectomy in an ex vivo model,
in: Scientific Reports, 14(1), 10055, Nature Publisher Group, 2024, pages 7.
DOI: 10.1038/s41598-024-60647-w
ISSN: 2045-2322
Komposch, Jan; Malzacher, Till; Baumgärtner, Timo; Braun, Michael; Roßkopf, Johannes; Franz, Alfred Michael; Schmitz, Bernd:
Asetup for live AI support in interventional radiology,
in: Current Directions in Biomedical Engineering, vol. 10, no. 4, De Gruyter, 2024, pages 385-388.
DOI: 10.1515/cdbme-2024-2094
ISSN: 2364-5504
Leinthaler, Ida; Gierling, Hanna; Jäger, Rudolf; Lapatki, Bernd; Mayer, Judith; Schmidt, Falko; Peuscher, Heiko:
Automatic Alignment of Three-Bracket Setup for Orthodontic Measurements,
in: Current Directions in Biomedical Engineering Volume 10, Issue 4, De Gruyter, 2024, Pages 416-419.
DOI: 10.1515/cdbme-2024-2102
ISSN: 2364-5504
Peuscher, Heiko; Schrills, Tim; Eichenlaub, Manuel; Jørgensen, John Bagterp:
AModular Open-Source Framework for In-Browser Diabetes Simulation,
in: IFAC-PapersOnLine, Vol. 58, Issue 24 (12th IFAC Symposium on Biological and Medical Systems BMS 2024), Balázs Benyó, Elsevier, 2024, pages 309-314.
DOI: 10.1016/j.ifacol.2024.11.055
ISSN: 2405-8971
Seitel, Alexander; Groener, Daniel; Eisenmann, Matthias; Aguilera Saiz, Laura; Pekdemir, Bünyamin; Sridharan, Patmaa; Nguyen, Cam Tu; Häfele, Sebastian; Feldmann, Carolin; Everitt, Brittany; Happel, Christian; Herrmann, Eva; Sabet, Amir; Grünwald, Frank; Franz, Alfred Michael; Maier-Hein, Lena:
Miniaturized electromagnetic tracking enables efficient ultrasound-navigated needle insertions,
in: Scientific Reports, 14(1), 14161, Nature Publisher Group, 2024, pages 13.
DOI: 10.1038/s41598-024-64530-6
ISSN: 2045-2322
Ahmed, Ayman; Franz, Alfred M.; Kauczor, Hans-Ulrich; Pereira, Philippe; Sommer, Christof M.:
Planning of Spherical Volumes for Treating Renal Tumors by Thermal Ablation with Tissue Shrinkage Estimation,
in: Informatik aktuell, Bildverarbeitung für die Medizin, 2023, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff, Springer Fachmedien Wiesbaden, 2023, pages 51-56.
DOI: doi.org/10.1007/978-3-658-41657-7_14
ISBN: 978-3-658-41656-0, ISSN: 1431-472X
Baumgärtner, Timo; Mittmann, Benjamin J.; Malzacher, Till; Roßkopf, Johannes; Braun, Michael; Schmitz, Bernd; Franz, Alfred M.:
Towards Clinical Translation of Deep Learning-based Classification of DSA Image Sequences for Stroke Treatment,
in: Informatik aktuell, Bildverarbeitung für die Medizin, 2023, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff, Springer Fachmedien Wiesbaden, 2023, pages 95-101.
DOI: doi.org/10.1007/978-3-658-41657-7_22
ISBN: 978-3-658-41656-0, ISSN: 1431-472X
Ikenberg, Hans; Lieder, Sabrina; Ahr, André; Wilhelm, Manfred; Schön, Christiane; Xhaja, Arjola:
Comparison of the Hologic Genius Digital Diagnostics System with the ThinPrep Imaging System - A retrospective assessment,
in: Cancer Cytopathology Vol. 131, Issue 7, Wiley ACS Journals, 2023, pages 424-432.
DOI: 10.1002/cncy.22695
ISSN: 1934-6638 (online), 1934-662X (print)
Schmidt, Christian; Kesztyüs, Dorothea; Haag, Martin; Wilhelm, Manfred; Kesztyüs, Tibor:
Proposal of a Method for Transferring HighQuality Scientific Literature Data to Virtual Patient Cases Using Categorical Data Generated by Bernoulli-Distributed Random Values: Development and Prototypical Implementation,
in: JMIR Medical Education Vol. 9 | e43988, 2023, pages 9.
DOI: 10.2196/43988
ISSN: 2369-3762
Schrills, Tim; Gruner, Marthe; Peuscher, Heiko; Franke, Thomas:
Safe Environments to Understand Medical AI-Designing a Diabetes Simulation Interface for Users of Automated Insulin Delivery,
in: Lecture Notes in Computer Science, vol 14029 (International Conference on Human-Computer Interaction), Duffy, V.G. (eds), Springe Cham, 2023, pages 306-328.
DOI: 10.1007/978-3-031-35748-0_23
ISBN: 978-3-031-35747-3 (print), ISSN: 1611-3349
Stevanovic, Lena; Bodanowitz, Ramona; Mittmann, Benjamin J.; Greiner-Perth, Ann-Kathrin; Mar-schall, Eva; Kannberg, Tobias; Baumgärtner, Timo; Braun, Michael; Schmitz, Bernd; Franz, Alfred M.:
Localizable Instruments for Navigated Treatment of Ischemic Stroke,
in: Informatik aktuell, Bildverarbeitung für die Medizin, 2023, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff, Springer Fachmedien Wiesbaden, 2023, pages 279-284.
DOI: doi.org/10.1007/978-3-658-41657-7_61
ISBN: 978-3-658-41656-0, ISSN: 1431-472X
Ertl, Alexandra; Franz, Alfred; Schmitz, Bernd; Braun, Michael:
3D CNN-based Identification of Hyperdensities in Cranial Non-contrast CT After Thrombectomy,
in: Informatik Aktuell, Bildverarbeitung für die Medizin, 2022, Maier-Hein, K., Deserno, T.M., Handels, H., Maier, A., Palm, C., Tolxdorff, T. (eds.), Springer Vieweg, Wiesbaden, 2022, pages 309-314.
DOI: doi.org/10.1007/978-3-658-36932-3_64
ISSN 1431-472X, ISBN: 978-3-658-36931-6
Greiner-Perth, Ann-Kathrin; Marschall, Eva; Kannberg, Tobias; Mittmann, Benjamin J.; Schmitz, Bernd; Braun, Michael; Franz, Alfred M.:
Elektromagnetisches Instrumententracking für die Schlaganfallbehandlung mittels Thrombektomie,
in: Informatik Aktuell, Bildverarbeitung für die Medizin, 2022, Maier-Hein, K., Deserno, T.M., Handels, H., Maier, A., Palm, C., Tolxdorff, T. (eds.), Springer Vieweg, Wiesbaden, 2022, pages 191-196.
DOI: doi.org/10.1007/978-3-658-36932-3_41
ISBN: 978-3-658-36931-6
Krenmayr, Lucas; Frank, Roland; Drobig, Christina; Braungart, Michael; Seidel, Jan; Schaudt, Daniel; von Schwerin, Reinhold; Stucke-Straub, Kathrin:
GANerAid: Realistic synthetic patient data for clinical trials,
in: Informatics in Medicine Unlocked, Volume 35, 2022, Science Direct, Elsevier, 2022, pages 7.
DOI: 10.1016/j.imu.2022.101118
ISSN: 2352-9148
Krosse, Carina; Brucher, Rainer; Franz, Alfred:
Determination of the geometry of amputation stumps using ultrasound,
in: Informatik Aktuell, Bildverarbeitung für die Medizin, 2022, Maier-Hein, K., Deserno, T.M., Handels, H., Maier, A., Palm, C., Tolxdorff, T., Springer Vieweg, Wiesbaden, 2022, pages 101-106.
DOI: doi.org/10.1007/978-3-658-36932-3_21
ISBN: 978-3-658-36931-6
Mittmann, Benjamin J.; Braun, Michael; Runck, Frank; Schmitz, Bernd; Tran, Thuy N.; Yamlahi, Amine; Maier-Hein, Lena; Franz, Alfred M.:
Deep learning-based classification of DSA image sequences of patients with acute ischemic stroke,
in: International Journal of Computer Assisted Radiology and Surgery, 17(9), 2022, Heinz U. Lemke, Springer Nature Switzerland AG, 2022, pages 1633-1641.
DOI: doi.org/10.1007/s11548-022-02654-8
ISSN: 1861-6429
Mittmann, Benjamin J.; Seitel, Alexander; Echner, Gernot; Johnen, Wiebke; Gnirs, Regula; Maier-Hein, Lena; Franz, Alfred M.:
Reattachable fiducial skin marker for automatic multimodality registration,
in: International Journal of Computer Assisted Radiology and Surgery, 17(11), 2022, Heinz U. Lemke, Springer Nature Switzerland AG, 2022, pages 2141-2150.
DOI: doi.org/10.1007/s11548-022-02639-7
ISSN: 1861-6429
Stark, Philipp; Kalkbrenner, Christoph; Klingler, Werner; Brucher, Rainer:
Characterization and comparison of a 2-, 4- and 8-MHz central venous catheter ultrasound probe for venous air emboli detection,
in: GMS Health Innnovation Technologies 2022, Vol. 16, 11 pages
DOI: 10.3205/hta000135
ISSN: 2698-6388
Schmitzer, Jana; Strobel, Carolin; Blechschmidt, Ronald; Tappe, Adrian; Peuscher, Heiko:
Efficient Closed Loop Simulation of Do-It-Yourself Artificial Pancreas Systems,
in: Journal of Diabetes Science and Technology, Diabetes Technology Society, SAGE Publishing, 2021, pages -.
DOI: 10.1177/19322968211032249
ISSN: 1932-2968
Schön, Christiane; Reule, Claudia; Knaub, Katharina; Micka, Antje; Wilhelm, Manfred; Alt, Wilfried; Menzel, Daniel:
Evaluation and Validation of a Joint Stress Test to Induce Activity-Related Knee Joint Discomfort - a Prospective Case-Control Study,
in: Sports Medicine - 2021 7:24, Springer Open, Springer Open, 2021, pages 14.
DOI: 10.1186/s40798-021-00317-7
ISSN: 2199-1170 / eISSN: 2198-9761
Franz, Alfred (Issue Editor); Goksel, Orcun (Issue Editor):
IJCARS- IPCAI 2021 Special Issue: 12th Conference on Information Processing for Computer-assisted Interventions - Part 1,
in: International Journal of Computer Assisted Radiology and Surgery, 16(5), 2021, Issue Editors: Alfred Franz, Orcun Goksel, Springer Nature Switzerland AG, 2021, pages 707-869.
DOI: 10.1007/s11548-021-02401-5
ISSN: 1861-6429
Franz, Alfred (Issue Editor); Goksel, Orcun (Issue Editor):
IJCARS- IPCAI 2021 Special Issue: 12th Conference on Information Processing for Computer-assisted Interventions - Part 2,
in: International Journal of Computer Assisted Radiology and Surgery, 16(7), 2021, Issue Editors: Alfred Franz, Orcun Goksel, Springer Nature Switzerland AG, 2021, pages 1077-1241.
ISSN: 1861-6429
Stevanovic, Lena; Mittmann, Benjamin; Pfiz, Florian; Braun Michael; Schmitz, Bernd; Franz, Alfred:
Open-Science Vascular Phantom for Neurovascular Interventions,
in: Informatik aktuell, Bildverarbeitung für die Medizin, 2021, Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K., Tolxdorff T., Springer Vieweg, Wiesbaden, 2021, pages 172-177.
DOI: 10.1007/978-3-658-33198-6_42
ISBN: 978-3-658-33197-9
Schaudt, Daniel; Kloth, Christopher; Späte, Christian; Hinteregger, Andreas; Beer, Meinrad; von Schwerin, Reinhold:
Improving COVID-19 CXR Detection with Synthetic Data Augmentation,
in: ARTIFICIAL INTELLIGENCEAPPLICATION IN LIFE SCIENCES AND BEYOND (UR-AI 2021)
THE UPPER-RHINE ARTIFICIAL INTELLIGENCE SYMPOSIUM, Schäfer, Karl-Herbert; Quint, Franz, Arxiv, 2021, pages 21-27.
DOI: arXiv:2112.07529 [eess.IV]
Franz, A. M.; Mittmann, B. J.; Röser, J.; Schmidberger, B.; Meinke, M.; Pereira, P. L.; Kauczor, H. U.; Richter, G. M.; Sommerm C. M.:
An Open-Source Tool for Automated Planning of Overlapping Ablation Zones,
in: Informatik aktuell,Springer Vieweg, Wiesbaden, 2020, pages 328-334.
DOI: doi.org/10.1007/978-3-658-29267-6_73, ISBN: 978-3-658-29266-9
Hennig, Florian; Pfiz, Florian; Mîndroc-Filimon, Diana; Maier-Hein, Lena; Pekdemir, Bünyamin; Seitel, Alexander; Franz, Alfred Michael:
Reproducible calibration of electromagnetic field distortions,
in: Informatik aktuell, Springer Vieweg, Wiesbaden, 2020, pages 88-94.
DOI: doi.org/10.1007/978-3-658-29267-6_20, ISBN: 978-3-658-29266-9
Knaub, Katharina; Mödinger, Yvonne; Wilhelm, Manfred; Schön, Christiane:
LDL-Cholesterol Lowering Effect of Hydroxytyrosol (HTEssence®): A Randomized Double-Blind, Placebo-Controlled Parallel Study,
in: Journal of Nutrition & Food Sciences 10, 778, open access, 2020, pages 1-8.
DOI: 10.35248/2155-9600.20.10.778, ISSN: 2155-9600
Obeid, Rima; Schön, Christiane; Pietrzik, Klaus; Menzel, Daniel; Wilhelm, Manfred; Smulders, Yvo; Knapp, Jean-Pierre; Böhni, Ruth:
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