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20162026
most citedMembraneless organelles formed by liquid-liquid phase separation increase bacterial fitness

142 citations

Showing 2025Show all

6 papers · 1 filter

cs.CV2025

Digital Contrast CT Pulmonary Angiography Synthesis from Non-contrast CT for Pulmonary Vascular Disease

Ying Ming, Yue Lin, Longfei Zhao +6

Computed Tomography Pulmonary Angiography (CTPA) is the reference standard for diagnosing pulmonary vascular diseases such as Pulmonary Embolism (PE) and Chronic Thromboembolic Pul…

q-bio.GN2025★ 1 cited

SiCmiR Atlas: Single-Cell miRNA Landscapes Reveals Hub-miRNA and Network Signatures in Human Cancers

Xiao-Xuan Cai, Jing-Shan Liao, Jia-Jun Ma +10

microRNA are pivotal post-transcriptional regulators whose single-cell behavior has remained largely inaccessible owing to technical barriers in single-cell small-RNA profiling. We…

eess.IV2025

Bronchovascular Tree-Guided Weakly Supervised Learning Method for Pulmonary Segment Segmentation

Ruijie Zhao, Zuopeng Tan, Xiao Xue +10

Pulmonary segment segmentation is crucial for cancer localization and surgical planning. However, the pixel-wise annotation of pulmonary segments is laborious, as the boundaries be…

cs.CL2025★ 16 cited

Streamlining evidence based clinical recommendations with large language models

Dubai Li, Nan Jiang, Kangping Huang +13

Clinical evidence underpins informed healthcare decisions, yet integrating it into real-time practice remains challenging due to intensive workloads, complex procedures, and time c…

eess.IV2025★ 1 cited

High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation

Ying Ming, Shaoze Luo, Longfei Zhao +4

Accurate segmentation of pulmonary vessels plays a very critical role in diagnosing and assessing various lung diseases. Currently, many automated algorithms are primarily targeted…

cs.CC2025★ 1 cited

Compilation and Fast Model Counting beyond CNF

Alexis de Colnet, Stefan Szeider, Tianwei Zhang

Circuits in deterministic decomposable negation normal form (d-DNNF) are representations of Boolean functions that enable linear-time model counting. This paper strengthens our the…