Zobrazeno 1 - 10
of 546
pro vyhledávání: '"Zhou, Ziyu"'
Multimodal neuroimaging modeling has becomes a widely used approach but confronts considerable challenges due to heterogeneity, which encompasses variability in data types, scales, and formats across modalities. This variability necessitates the depl
Externí odkaz:
http://arxiv.org/abs/2408.14254
This paper addresses the problem of guiding a quadrotor through a predefined sequence of waypoints in cluttered environments, aiming to minimize the flight time while avoiding collisions. Previous approaches either suffer from prolonged computational
Externí odkaz:
http://arxiv.org/abs/2406.19646
State Space Models (SSMs) have emerged as a potent tool in sequence modeling tasks in recent years. These models approximate continuous systems using a set of basis functions and discretize them to handle input data, making them well-suited for model
Externí odkaz:
http://arxiv.org/abs/2405.16312
Autor:
Orlichenko, Anton, Qu, Gang, Zhou, Ziyu, Liu, Anqi, Deng, Hong-Wen, Ding, Zhengming, Stephen, Julia M., Wilson, Tony W., Calhoun, Vince D., Wang, Yu-Ping
Objective: fMRI and derived measures such as functional connectivity (FC) have been used to predict brain age, general fluid intelligence, psychiatric disease status, and preclinical neurodegenerative disease. However, it is not always clear that all
Externí odkaz:
http://arxiv.org/abs/2405.07977
Colorectal cancer (CRC), which frequently originates from initially benign polyps, remains a significant contributor to global cancer-related mortality. Early and accurate detection of these polyps via colonoscopy is crucial for CRC prevention. Howev
Externí odkaz:
http://arxiv.org/abs/2404.11355
Vision-language pre-training for chest X-rays has made significant strides, primarily by utilizing paired radiographs and radiology reports. However, existing approaches often face challenges in encoding medical knowledge effectively. While radiology
Externí odkaz:
http://arxiv.org/abs/2404.03618
Autor:
Zhou, Ziyu, Orlichenko, Anton, Qu, Gang, Fu, Zening, Calhoun, Vince D, Ding, Zhengming, Wang, Yu-Ping
Both functional and structural magnetic resonance imaging (fMRI and sMRI) are widely used for the diagnosis of mental disorder. However, combining complementary information from these two modalities is challenging due to their heterogeneity. Many exi
Externí odkaz:
http://arxiv.org/abs/2404.00144
Self-supervised learning (SSL) approaches have recently shown substantial success in learning visual representations from unannotated images. Compared with photographic images, medical images acquired with the same imaging protocol exhibit high consi
Externí odkaz:
http://arxiv.org/abs/2312.00335
Image generation tasks are traditionally undertaken using Convolutional Neural Networks (CNN) or Transformer architectures for feature aggregating and dispatching. Despite the frequent application of convolution and attention structures, these struct
Externí odkaz:
http://arxiv.org/abs/2308.11857
Large amplitude oscillatory shear (LAOS) has been widely applied for performing rheological analysis of complex fluids, and the Fourier transform (FT) rheology is considered one of the mainstays in LAOS since FT is an essential mathematic tool that i
Externí odkaz:
http://arxiv.org/abs/2308.05340