Zobrazeno 1 - 10
of 295
pro vyhledávání: '"YANG Jichen"'
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Autor:
Bassi, Pedro R. A. S., Li, Wenxuan, Tang, Yucheng, Isensee, Fabian, Wang, Zifu, Chen, Jieneng, Chou, Yu-Cheng, Kirchhoff, Yannick, Rokuss, Maximilian, Huang, Ziyan, Ye, Jin, He, Junjun, Wald, Tassilo, Ulrich, Constantin, Baumgartner, Michael, Roy, Saikat, Maier-Hein, Klaus H., Jaeger, Paul, Ye, Yiwen, Xie, Yutong, Zhang, Jianpeng, Chen, Ziyang, Xia, Yong, Xing, Zhaohu, Zhu, Lei, Sadegheih, Yousef, Bozorgpour, Afshin, Kumari, Pratibha, Azad, Reza, Merhof, Dorit, Shi, Pengcheng, Ma, Ting, Du, Yuxin, Bai, Fan, Huang, Tiejun, Zhao, Bo, Wang, Haonan, Li, Xiaomeng, Gu, Hanxue, Dong, Haoyu, Yang, Jichen, Mazurowski, Maciej A., Gupta, Saumya, Wu, Linshan, Zhuang, Jiaxin, Chen, Hao, Roth, Holger, Xu, Daguang, Blaschko, Matthew B., Decherchi, Sergio, Cavalli, Andrea, Yuille, Alan L., Zhou, Zongwei
How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified metrics, unfair comparisons, and short-term outcome pressure. As a con
Externí odkaz:
http://arxiv.org/abs/2411.03670
Segment Anything Model (SAM) has gained significant attention because of its ability to segment various objects in images given a prompt. The recently developed SAM 2 has extended this ability to video inputs. This opens an opportunity to apply SAM t
Externí odkaz:
http://arxiv.org/abs/2408.00756
Decline of immunity is a phenomenon characterized by immunocompromised host and plays a crucial role in the epidemiology of emerging infectious diseases (EIDs) such as COVID-19. In this paper, we propose an age-structured model with vaccination and r
Externí odkaz:
http://arxiv.org/abs/2406.01957
Automated segmentation is a fundamental medical image analysis task, which enjoys significant advances due to the advent of deep learning. While foundation models have been useful in natural language processing and some vision tasks for some time, th
Externí odkaz:
http://arxiv.org/abs/2404.09957
Autor:
Gu, Hanxue, Colglazier, Roy, Dong, Haoyu, Zhang, Jikai, Chen, Yaqian, Yildiz, Zafer, Chen, Yuwen, Li, Lin, Yang, Jichen, Willhite, Jay, Meyer, Alex M., Guo, Brian, Shah, Yashvi Atul, Luo, Emily, Rajput, Shipra, Kuehn, Sally, Bulleit, Clark, Wu, Kevin A., Lee, Jisoo, Ramirez, Brandon, Lu, Darui, Levin, Jay M., Mazurowski, Maciej A.
Magnetic Resonance Imaging (MRI) is pivotal in radiology, offering non-invasive and high-quality insights into the human body. Precise segmentation of MRIs into different organs and tissues would be highly beneficial since it would allow for a higher
Externí odkaz:
http://arxiv.org/abs/2401.12974
Traditional vision transformer consists of two parts: transformer encoder and multi-layer perception (MLP). The former plays the role of feature learning to obtain better representation, while the latter plays the role of classification. Here, the ML
Externí odkaz:
http://arxiv.org/abs/2401.04953
Autor:
Achleitner, Franz, Akagi, Goro, Kuehn, Christian, Melenk, Jens Markus, Rademacher, Jens D. M., Soresina, Cinzia, Yang, Jichen
Publikováno v:
in: Fractional dispersive models and applications, P. Kevrekidis, J. Cuevas-Maraver, eds., Springer Verlag (2024), ISBN 978-3-031-54977-9
In this chapter we provide an introduction to fractional dissipative partial differential equations (PDEs) with a focus on trying to understand their dynamics. The class of PDEs we focus on are reaction-diffusion equations but we also provide an outl
Externí odkaz:
http://arxiv.org/abs/2312.05606
The $b$-family of Camassa-Holm ($b$-CH) equation is a one-parameter family of PDEs, which includes the completely integrable Camassa-Holm and Degasperis-Procesi equations but possesses different Hamiltonian structures. Motivated by this, we study the
Externí odkaz:
http://arxiv.org/abs/2311.15634
Numerical simulations of large scale geophysical flows typically require unphysically strong dissipation for numerical stability. Towards energetic balance various schemes have been devised to re-inject this energy, in particular by horizontal kineti
Externí odkaz:
http://arxiv.org/abs/2310.08294
Publikováno v:
Medical Image Analysis, 102918 (2023)
Training segmentation models for medical images continues to be challenging due to the limited availability of data annotations. Segment Anything Model (SAM) is a foundation model that is intended to segment user-defined objects of interest in an int
Externí odkaz:
http://arxiv.org/abs/2304.10517