output
20102026
most citedNear-real-time global gridded daily CO emissions 2021

69 citations

13 papers

cs.CV2026

KANResDiff: Learning Local Residual Diffusion via Kolmogorov-Arnold Network for Ambiguous Medical Image Segmentation

Fanding Li, Chenglin Wang, Xiangyu Li +9

Ambiguous medical image segmentation aims to provide a series of diverse but plausible segmentation hypotheses. However, existing methods introduce stochasticity in a fixed and pre…

cs.CV2025

Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation

Fanding Li, Xiangyu Li, Xianghe Su +6

A simultaneous enhancement of accuracy and diversity of predictions remains a challenge in ambiguous medical image segmentation (AMIS) due to the inherent trade-offs. While truncat…

cs.CV2024★ 43 cited

Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences

Yuetan Chu, Gongning Luo, Longxi Zhou +13

Pulmonary artery-vein segmentation is crucial for disease diagnosis and surgical planning and is traditionally achieved by Computed Tomography Pulmonary Angiography (CTPA). However…

quant-ph2024★ 1 cited

Experimental genuine quantum nonlocality in the triangle network

Ning-Ning Wang, Chao Zhang, Huan Cao +8

In the last decade, it was understood that quantum networks involving several independent sources of entanglement which are distributed and measured by several parties allowed for…

physics.optics2023★ 58 cited

Optical wood with switchable solar transmittance for all-round thermal management

He Gao, Ying Li, Yanjun Xie +8

Technologies enabling passive daytime radiative cooling and daylight harvesting are highly relevant for energy-efficient buildings. Despite recent progress demonstrated with passiv…

eess.IV2023★ 19 cited

Multi-Scale U-Shape MLP for Hyperspectral Image Classification

Moule Lin, Weipeng Jing, Donglin Di +2

Hyperspectral images have significant applications in various domains, since they register numerous semantic and spatial information in the spectral band with spatial variability o…