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pro vyhledávání: '"Shrout P"'
Accurately detecting objects in the environment is a key challenge for autonomous vehicles. However, obtaining annotated data for detection is expensive and time-consuming. We introduce PatchContrast, a novel self-supervised point cloud pre-training
Externí odkaz:
http://arxiv.org/abs/2308.06985
We propose a novel method for 3D point cloud action recognition. Understanding human actions in RGB videos has been widely studied in recent years, however, its 3D point cloud counterpart remains under-explored. This is mostly due to the inherent lim
Externí odkaz:
http://arxiv.org/abs/2303.06346
Autor:
Max A. Shrout, MD, Alexander T. Plonkowski, MBBS, MRes, Bryn E. Morris, MD, Jonathan A. Flug, MD, Alanna M. Rebecca, MD, MBA
Publikováno v:
Plastic and Reconstructive Surgery, Global Open, Vol 12, Iss 11, p e6305 (2024)
Lymphedema is a frequent complication of breast cancer treatment. As the survival rates of breast cancer continue to increase, the number of women with lymphedema will also increase. Surgical treatment of lymphedema has made significant advances duri
Externí odkaz:
https://doaj.org/article/d472d2f3b1f74e2eb19b3ec0920a3a12
3D object detection within large 3D scenes is challenging not only due to the sparsity and irregularity of 3D point clouds, but also due to both the extreme foreground-background scene imbalance and class imbalance. A common approach is to add ground
Externí odkaz:
http://arxiv.org/abs/2208.08780
Autor:
Megan E. Renna, M. Rosie Shrout
Publikováno v:
Comprehensive Psychoneuroendocrinology, Vol 19, Iss , Pp 100240- (2024)
Although many breast cancer survivors adjust to cancer treatment and survivorship, a sizable subgroup of women do not do so, resulting in psychological distress. Over time, this psychological distress can contribute to immune dysfunction and accompan
Externí odkaz:
https://doaj.org/article/fc861cfbaba649a180eb763583629c9a
Autor:
Liang, Peixian, Zhang, Yizhe, Ding, Yifan, Chen, Jianxu, Madukoma, Chinedu S., Weninger, Tim, Shrout, Joshua D., Chen, Danny Z.
Deep learning (DL) based semantic segmentation methods have achieved excellent performance in biomedical image segmentation, producing high quality probability maps to allow extraction of rich instance information to facilitate good instance segmenta
Externí odkaz:
http://arxiv.org/abs/2206.01309
Autor:
Maria Shvedova, MD, PhD, Isra Abdulwadood, BS, Daniel M. Vernik, MS, Max A. Shrout, MD, Jonathan L. Jeger, MD, Dylon C. Buchanan, MS, Alexander Ropper, MD, Sebastian Winocour, MD, MSc, FACS, Michael Bohl, MD, Maziyar A. Kalani, MD, Edward M. Reece, MD, MBA
Publikováno v:
Plastic and Reconstructive Surgery, Global Open, Vol 12, Iss 4, p e5656 (2024)
Summary:. Pseudoarthrosis is a severe complication of spinal fusion surgery with occurrence rates as high as 35%–40%. Current options of revision surgery to correct pseudoarthrosis frequently carry high failure rates and risk of developing junction
Externí odkaz:
https://doaj.org/article/9bb69c8903fa4d69a45e2a07ca6e79dc
Publikováno v:
Chemical & Biomedical Imaging, Vol 1, Iss 7, Pp 659-666 (2023)
Externí odkaz:
https://doaj.org/article/7af0b96ab7634372b95624e0de73bcf3
Plasmonic hyperbolic metasurfaces have emerged as an effective platform for manipulating the propagation of light. Here, confined modes on arrays of silver nanoridges that exhibit hyperbolic dispersion are used to demonstrate and model a super-resolu
Externí odkaz:
http://arxiv.org/abs/2102.12536
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