Zobrazeno 1 - 10
of 159 014
pro vyhledávání: '"Maier AS"'
Autor:
Kahl, Kim-Celine, Erkan, Selen, Traub, Jeremias, Lüth, Carsten T., Maier-Hein, Klaus, Maier-Hein, Lena, Jaeger, Paul F.
Vision-Language Models (VLMs) have great potential in medical tasks, like Visual Question Answering (VQA), where they could act as interactive assistants for both patients and clinicians. Yet their robustness to distribution shifts on unseen data rem
Externí odkaz:
http://arxiv.org/abs/2411.19688
Autor:
Fischer, Maximilian, Hauptmann, Florian M., Peretzke, Robin, Naser, Paul, Neher, Peter, Neumann, Jan-Oliver, Maier-Hein, Klaus
Although advances in brain surgery techniques have led to fewer postoperative complications requiring Intensive Care Unit (ICU) monitoring, the routine transfer of patients to the ICU remains the clinical standard, despite its high cost. Predictive G
Externí odkaz:
http://arxiv.org/abs/2412.15818
The dynamical cavity method and its backtracking version provide a powerful approach to studying the properties of dynamical processes on large random graphs. This paper extends these methods to hypergraphs, enabling the analysis of interactions invo
Externí odkaz:
http://arxiv.org/abs/2412.14794
Autor:
Fischer, Maximilian, Neher, Peter, Schüffler, Peter, Ziegler, Sebastian, Xiao, Shuhan, Peretzke, Robin, Clunie, David, Ulrich, Constantin, Baumgartner, Michael, Muckenhuber, Alexander, Almeida, Silvia Dias, Götz, Michael, Kleesiek, Jens, Nolden, Marco, Braren, Rickmer, Maier-Hein, Klaus
Digital pathology offers a groundbreaking opportunity to transform clinical practice in histopathological image analysis, yet faces a significant hurdle: the substantial file sizes of pathological Whole Slide Images (WSI). While current digital patho
Externí odkaz:
http://arxiv.org/abs/2412.13137
Autor:
Jaeger, Tom, Kwon, MinSik, Keller, Max, Maier, Rouven, Bronn, Nicholas, Finsterhoelzl, Regina, Burkard, Guido, Buettner, Leon, Eberle, Rebekka, Haehnel, Daniel, Vorobyov, Vadim, Wrachtrup, Joerg
Accurately estimating the performance of quantum hardware is crucial for comparing different platforms and predicting the performance and feasibility of quantum algorithms and applications. In this paper, we tackle the problem of benchmarking a quant
Externí odkaz:
http://arxiv.org/abs/2412.12959
The field of medical imaging AI is currently undergoing rapid transformations, with methodical research increasingly translated into clinical practice. Despite these successes, research suffers from knowledge silos, hindering collaboration and progre
Externí odkaz:
http://arxiv.org/abs/2412.08763
Autor:
Shetty, Karthik, Birkhold, Annette, Egger, Bernhard, Jaganathan, Srikrishna, Strobel, Norbert, Kowarschik, Markus, Maier, Andreas
We present a novel approach for 3D human pose estimation by employing probabilistic modeling. This approach leverages the advantages of normalizing flows in non-Euclidean geometries to address uncertain poses. Specifically, our method employs normali
Externí odkaz:
http://arxiv.org/abs/2412.04665
Publikováno v:
Digital Humanities Conference, Arlington, USA, 2024, pp.287-290
Recognizing gestures in artworks can add a valuable dimension to art understanding and help to acknowledge the role of the sense of smell in cultural heritage. We propose a method to recognize smell gestures in historical artworks. We show that combi
Externí odkaz:
http://arxiv.org/abs/2412.03456
Autor:
Rist, Leonhard, Stephan, Pluvio, Maul, Noah, Vorberg, Linda, Ditt, Hendrik, Sühling, Michael, Maier, Andreas, Egger, Bernhard, Taubmann, Oliver
Tomographic imaging reveals internal structures of 3D objects and is crucial for medical diagnoses. Visualizing the morphology and appearance of non-planar sparse anatomical structures that extend over multiple 2D slices in tomographic volumes is inh
Externí odkaz:
http://arxiv.org/abs/2411.18415
Autor:
Isensee, Fabian, Kirchhoff, Yannick, Kraemer, Lars, Rokuss, Maximilian, Ulrich, Constantin, Maier-Hein, Klaus H.
This paper presents our approach to scaling the nnU-Net framework for multi-structure segmentation on Cone Beam Computed Tomography (CBCT) images, specifically in the scope of the ToothFairy2 Challenge. We leveraged the nnU-Net ResEnc L model, introd
Externí odkaz:
http://arxiv.org/abs/2411.17213