Allgemein

Browse all posts in the Allgemein category.

7 to 12 of 17

16JUL 2025
Allgemein
We have a new doctor! Lennart Karstensen successfully defends his thesis.
On July 10th 2025, SPARC member Lennart Karstensen successfully defended his doctoral thesis on “Simulation-based Control Learning for Patient-Specific Autonomous Navigation for Endovascular Interventions in the Real World”. The examination committee consisted of Prof. Franziska Mathis-Ullrich (FAU), Prof. Tom Vercauteren (KCL), and Prof. Bernhard Egger (FAU) and was headed by Prof. David Blumenthal (FAU). Lennart […]On July 10th 2025, SPARC member Lennart Karstensen successfully defended his doctoral thesis on “Simulation-based Control Learning for Patient-Specific Autonomous Navigation for Endovascular Interventions in the Real World”. The examination committee consisted of Prof. Franziska Mathis-Ullrich (FAU), Prof. Tom Vercauteren (KCL), and Prof. Bernhard Egger (FAU) and was headed by Prof. David Blumenthal (FAU). Lennart […]
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14JUL 2025
Allgemein
SPARC member wins best presentation award
SPARC member Pit Henrich was awarded first place for his presentation at AIBEConf, held at the Digital Health Innovation Platform (d.hip) in Erlangen. His research focuses on advancing robotic interaction with deformable tissue and objects (a critical challenge in surgical robotics) by providing structural information of deforming objects at low latency.
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14JUL 2025
Allgemein
Publication of the LUDO paper in IEEE Transaction on Robotics (T-RO)
We are pleased to share that our paper, “LUDO: Low-Latency Understanding of Deformable Objects using Point Cloud Occupancy Functions,” has been accepted for publication in the IEEE Transactions on Robotics. In this work, we present LUDO, a method for low-latency understanding of deformable objects from point cloud data. Unlike traditional approaches that rely on fitting […]
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03JUL 2025
Allgemein
AI-powered endometriosis diagnosis – new research project EndoKI launched
A new research project coordinated by Prof. Dr. Franziska Mathis-Ullrich aims to harness artificial intelligence to support the early detection of endometriosis using ultrasound imaging. The interdisciplinary team is developing machine learning models that can automatically identify subtle patterns in multimodal pre-, intra-, and post-operative data, helping to accelerate diagnosis and reduce the long delays […]A new research project coordinated by Prof. Dr. Franziska Mathis-Ullrich aims to harness artificial intelligence to support the early detection of endometriosis using ultrasound imaging. The interdisciplinary team is developing machine learning models that can automatically identify subtle patterns in multimodal pre-, intra-, and post-operative data, helping to accelerate diagnosis and reduce the long delays […]
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26JUN 2025
Allgemein
Publication of the NeuroLens paper in IJCARS
We are pleased to announce the publication of our latest paper, “NeuroLens: Organ Localization Using Natural Language Commands for Anatomical Recognition in Surgical Training,” in the International Journal of Computer Assisted Radiology and Surgery. In this work, we present NeuroLens, a system that supports surgical training, specifically anatomical understanding, through organ localization in surgical videos […]We are pleased to announce the publication of our latest paper, “NeuroLens: Organ Localization Using Natural Language Commands for Anatomical Recognition in Surgical Training,” in the International Journal of Computer Assisted Radiology and Surgery. In this work, we present NeuroLens, a system that supports surgical training, specifically anatomical understanding, through organ localization in surgical videos […]
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01AUG 2024
Allgemein
SPARC Researcher Wins Best Dissertation Award
We are thrilled to announce that our Postdoctoral Researcher Dr.-Ing. Ramy Zeineldin has received the Best Dissertation 2023/2024 award for his PhD thesis titled “Deep Multimodality Image-Guided System for Assisting Neurosurgery” from the faculty of informatics, Karlsruhe Institute of Technology (KIT). Dr. Zeineldin’s doctoral thesis focused on the development of DeepIGN, a novel peri-operative image-guided […]We are thrilled to announce that our Postdoctoral Researcher Dr.-Ing. Ramy Zeineldin has received the Best Dissertation 2023/2024 award for his PhD thesis titled “Deep Multimodality Image-Guided System for Assisting Neurosurgery” from the faculty of informatics, Karlsruhe Institute of Technology (KIT). Dr. Zeineldin’s doctoral thesis focused on the development of DeepIGN, a novel peri-operative image-guided […]
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