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pro vyhledávání: '"Pieper A"'
Background: Robot-assisted surgery has been widely adopted in recent years. However, compared to other health technologies operating in close proximity to patients in a vulnerable state, ethical issues of robot-assisted surgery have received less att
Externí odkaz:
http://arxiv.org/abs/2411.11637
We propose nonuniform data-driven parameter distributions for neural network initialization based on derivative data of the function to be approximated. These parameter distributions are developed in the context of non-parametric regression models ba
Externí odkaz:
http://arxiv.org/abs/2410.02132
This paper explores the enhancement of small language models through strategic dataset augmentation via ChatGPT-3.5-Turbo, in the domain of Natural Language Inference (NLI). By employing knowledge distillation-based techniques and synthetic dataset a
Externí odkaz:
http://arxiv.org/abs/2409.12599
Given a mild solution $X$ to a semilinear stochastic partial differential equation (SPDE), we consider an exponential change of measure based on its infinitesimal generator $L$, defined in the topology of bounded pointwise convergence. The changed me
Externí odkaz:
http://arxiv.org/abs/2409.08057
Autor:
Foss, Mikil, Pieper, Michael
Recent decades have provided a host of examples and applications motivating the study of nonlocal differential operators. We discuss a class of such operators acting on bounded domains, focusing on those with integrable kernels having compact support
Externí odkaz:
http://arxiv.org/abs/2408.15448
Autor:
Dorent, Reuben, Khajavi, Roya, Idris, Tagwa, Ziegler, Erik, Somarouthu, Bhanusupriya, Jacene, Heather, LaCasce, Ann, Deissler, Jonathan, Ehrhardt, Jan, Engelson, Sofija, Fischer, Stefan M., Gu, Yun, Handels, Heinz, Kasai, Satoshi, Kondo, Satoshi, Maier-Hein, Klaus, Schnabel, Julia A., Wang, Guotai, Wang, Litingyu, Wald, Tassilo, Yang, Guang-Zhong, Zhang, Hanxiao, Zhang, Minghui, Pieper, Steve, Harris, Gordon, Kikinis, Ron, Kapur, Tina
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging, therapeutic management, and monitoring treatment response. Existing state-of-the-art segmentation frameworks in medical imaging often rely on fully annotated dataset
Externí odkaz:
http://arxiv.org/abs/2408.10069
Autor:
Allan, Andrew L., Pieper, Jost
We present a new version of the stochastic sewing lemma, capable of handling multiple discontinuous control functions. This is then used to develop a theory of rough stochastic analysis in a c\`adl\`ag setting. In particular, we define rough stochast
Externí odkaz:
http://arxiv.org/abs/2408.06978
Autor:
Krishnaswamy, Deepa, Thiriveedhi, Vamsi Krishna, Ciausu, Cosmin, Clunie, David, Pieper, Steve, Kikinis, Ron, Fedorov, Andrey
There is a dire need for medical imaging datasets with accompanying annotations to perform downstream patient analysis. However, it is difficult to manually generate these annotations, due to the time-consuming nature, and the variability in clinical
Externí odkaz:
http://arxiv.org/abs/2406.14486
Autor:
Pieper, Jaden, Voran, Stephen D.
Publikováno v:
Proceedings of Interspeech 2024. 1-5 September 2024, Kos, Greece
We develop two complementary advances for training no-reference (NR) speech quality estimators with independent datasets. Multi-dataset finetuning (MDF) pretrains an NR estimator on a single dataset and then finetunes it on multiple datasets at once,
Externí odkaz:
http://arxiv.org/abs/2406.10205
Autor:
Krishnaswamy, Deepa, Kovács, Bálint, Denner, Stefan, Pieper, Steve, Clunie, David, Bridge, Christopher P., Kapur, Tina, Maier-Hein, Klaus H., Fedorov, Andrey
With the wealth of medical image data, efficient curation is essential. Assigning the sequence type to magnetic resonance images is necessary for scientific studies and artificial intelligence-based analysis. However, incomplete or missing metadata p
Externí odkaz:
http://arxiv.org/abs/2404.10892