Zobrazeno 1 - 10
of 9 863
pro vyhledávání: '"P. Kersten"'
Autor:
Nieto, Nicolás, Eickhoff, Simon B., Jung, Christian, Reuter, Martin, Diers, Kersten, Kelm, Malte, Lichtenberg, Artur, Raimondo, Federico, Patil, Kaustubh R.
Machine learning (ML) models benefit from large datasets. Collecting data in biomedical domains is costly and challenging, hence, combining datasets has become a common practice. However, datasets obtained under different conditions could present und
Externí odkaz:
http://arxiv.org/abs/2410.19643
Autor:
Asadi, Zahra, Castillo, Joshua Pardillo, Asadi, Mehrdad, Sinclair, David S., Kersten-Oertel, Marta
Global disparities in neurosurgical care necessitate innovations addressing affordability and accuracy, particularly for critical procedures like ventriculostomy. This intervention, vital for managing life-threatening intracranial pressure increases,
Externí odkaz:
http://arxiv.org/abs/2410.00001
Video-assisted thoracic surgery (VATS) is a minimally invasive approach for treating early-stage non-small-cell lung cancer. Optimal trocar placement during VATS ensures comprehensive access to the thoracic cavity, provides a panoramic endoscopic vie
Externí odkaz:
http://arxiv.org/abs/2409.04414
Autor:
Kadry, Karim, Gupta, Shreya, Sogbadji, Jonas, Schaap, Michiel, Petersen, Kersten, Mizukami, Takuya, Collet, Carlos, Nezami, Farhad R., Edelman, Elazer R.
Virtual interventions enable the physics-based simulation of device deployment within coronary arteries. This framework allows for counterfactual reasoning by deploying the same device in different arterial anatomies. However, current methods to crea
Externí odkaz:
http://arxiv.org/abs/2407.15631
Autor:
Schmidt, Kersten, Pfaff, Sven
Multiperforated plates exhibit high gradients and a loss of regularity concentrated in a boundary layer for which a direct numerical simulation becomes very expensive. For elliptic equations the solution at some distance of the boundary is only affec
Externí odkaz:
http://arxiv.org/abs/2407.02185
Efficient and accurate brain ventricle segmentation from clinical CT scans is critical for emergency surgeries like ventriculostomy. With the challenges in poor soft tissue contrast and a scarcity of well-annotated databases for clinical brain CTs, w
Externí odkaz:
http://arxiv.org/abs/2405.18267
Anomalous behavior detection is a challenging research area within computer vision. Progress in this area enables automated detection of dangerous behavior using surveillance camera feeds. A dangerous behavior that is often overlooked in other resear
Externí odkaz:
http://arxiv.org/abs/2403.06552
Autor:
Kersten, Wenzel, de Zordo, Nikolaus, Redchenko, Elena S., Lagos, Nikolaos, Kanagin, Andrew N., Angerer, Andreas, Munro, William J., Nemoto, Kae, Mazets, Igor E., Schmiedmayer, Jörg
We study superradiant masing in a hybrid system composed of nitrogen-vacancy center spins in diamond coupled to a superconducting microwave cavity. After the first fast superradiant decay we observe transient pulsed and then quasi-continuous masing.
Externí odkaz:
http://arxiv.org/abs/2402.08537
Autor:
Roth, Holger R., Xu, Ziyue, Hsieh, Yuan-Ting, Renduchintala, Adithya, Yang, Isaac, Zhang, Zhihong, Wen, Yuhong, Yang, Sean, Lu, Kevin, Kersten, Kristopher, Ricketts, Camir, Xu, Daguang, Chen, Chester, Cheng, Yan, Feng, Andrew
In the ever-evolving landscape of artificial intelligence (AI) and large language models (LLMs), handling and leveraging data effectively has become a critical challenge. Most state-of-the-art machine learning algorithms are data-centric. However, as
Externí odkaz:
http://arxiv.org/abs/2402.07792
Recent rising interests in patient-specific thoracic surgical planning and simulation require efficient and robust creation of digital anatomical models from automatic medical image segmentation algorithms. Deep learning (DL) is now state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2402.03230