Zobrazeno 1 - 10
of 367
pro vyhledávání: '"Li Zongyu"'
Widely used traditional pipelines for subcortical brain segmentation are often inefficient and slow, particularly when processing large datasets. Furthermore, deep learning models face challenges due to the high resolution of MRI images and the large
Externí odkaz:
http://arxiv.org/abs/2409.08307
Shorter SPECT Scans Using Self-supervised Coordinate Learning to Synthesize Skipped Projection Views
Purpose: This study addresses the challenge of extended SPECT imaging duration under low-count conditions, as encountered in Lu-177 SPECT imaging, by developing a self-supervised learning approach to synthesize skipped SPECT projection views, thus sh
Externí odkaz:
http://arxiv.org/abs/2406.18840
Publikováno v:
E3S Web of Conferences, Vol 385, p 04017 (2023)
In this paper, zinc calcines, sulfuric acid, ferric nitrate nine-hydrate, zinc nitrate hexahydrate, titanium oxide sulfate, sodium hydroxide and ammonia water were selected as raw materials, and the methods of sulfuric acid leaching and chemical copr
Externí odkaz:
https://doaj.org/article/e5cc7999fe154f6b9b64018f8cd2bfef
Publikováno v:
E3S Web of Conferences, Vol 385, p 04018 (2023)
In this paper, sulfuric acid leaching high iron zinc calcine was used to prepare and purify zinc ferrite, high temperature roasting method was used to prepare synthetic zinc ferrite, and sol-gel method was used to prepare TiO2. The properties of the
Externí odkaz:
https://doaj.org/article/8c440c7854b644d7ba89050c36b8514a
Publikováno v:
E3S Web of Conferences, Vol 385, p 04016 (2023)
In this paper, the methods of sulfuric acid leaching and chemical coprecipitation were used to prepare products such as purified zinc ferrite, synthetic zinc ferrite, synthetic titanium dioxide and its complex with purified zinc ferrite. The morpholo
Externí odkaz:
https://doaj.org/article/cebca23221e246fd9b3b70239ca3e4a0
Surgical context inference has recently garnered significant attention in robot-assisted surgery as it can facilitate workflow analysis, skill assessment, and error detection. However, runtime context inference is challenging since it requires timely
Externí odkaz:
http://arxiv.org/abs/2308.12789
Publikováno v:
IEEE Robotics and Automation Letters, vol. 8, no. 8, pp. 5132-5139, Aug. 2023
Fine-grained activity recognition enables explainable analysis of procedures for skill assessment, autonomy, and error detection in robot-assisted surgery. However, existing recognition models suffer from the limited availability of annotated dataset
Externí odkaz:
http://arxiv.org/abs/2306.16577
Phase retrieval (PR) is a crucial problem in many imaging applications. This study focuses on resolving the holographic phase retrieval problem in situations where the measurements are affected by a combination of Poisson and Gaussian noise, which co
Externí odkaz:
http://arxiv.org/abs/2305.07712
Manual labeling of gestures in robot-assisted surgery is labor intensive, prone to errors, and requires expertise or training. We propose a method for automated and explainable generation of gesture transcripts that leverages the abundance of data fo
Externí odkaz:
http://arxiv.org/abs/2302.14237
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 7, no. 4, pp. 410-420, April 2023
Training end-to-end unrolled iterative neural networks for SPECT image reconstruction requires a memory-efficient forward-backward projector for efficient backpropagation. This paper describes an open-source, high performance Julia implementation of
Externí odkaz:
http://arxiv.org/abs/2301.09710