A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Xiangbin Liu, Liping Song, Shuai Liu, et al.
A comprehensive review of deep-learning-based medical image segmentation methods, summarizing three main approaches, their limitations, and future directions to address accuracy and data challenges.
S. Mostafa Mousavi, William L. Ellsworth, Weiqiang Zhu, et al.
A global deep-learning model using hierarchical attention for simultaneous earthquake detection and phase picking, outperforming prior methods and detecting twice as many events with fewer stations.
Chunyang Wang, Guanglei Ding, Yitong Liu, et al.
Combining atomic electron tomography with a deep-learning neural network achieves 0.71 Å resolution, a record for electron tomography, while recovering missing-wedge information from only ±50° tilt data.
Ruoqian Lin, Rui Zhang, Chunyang Wang, et al.
This paper presents a deep-learning library and models for robust atom segmentation, localization, denoising, and deblurring in atomic-resolution STEM images, outperforming conventional methods.