Author of the publication

Enhanced U-Transformer Networks for Automatic Pulmonary Vessel Segmentation in Ct Images.

, , , , , , and . ICIP, page 2970-2974. IEEE, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Densely encoded attention networks for accurate retinal layers segmentation in optical coherence tomography., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Efficient Non-Learning Similar Subtrajectory Search., , , , and . Proc. VLDB Endow., 16 (11): 3111-3123 (2023)Enhanced U-Transformer Networks for Automatic Pulmonary Vessel Segmentation in Ct Images., , , , , , and . ICIP, page 2970-2974. IEEE, (2023)Pulmonary CT nodules segmentation using an enhanced square U-Net with depthwise separable convolution., , , , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Bridging Speed and Accuracy to Approximate K-Nearest Neighbor Search., , , , , , and . CoRR, (2024)Local-Global Progressive U-Transformers for Accurate Hepatic and Portal Veins Segmentation in Abdominal MR Images., , , , , and . ICASSP, page 1-5. IEEE, (2023)Wait to be Faster: a Smart Pooling Framework for Dynamic Ridesharing., , , , , , and . CoRR, (2024)A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing., , , , and . Proc. VLDB Endow., 14 (11): 2177-2189 (2021)Towards A Relation Extractor Nested U-Architecture for Accurate Pulmonary Airway Segmentation in CT images., , , , , and . ICCCV, page 29-35. ACM, (2022)Towards a relation extractor U-shaped network for accurate pulmonary vessel segmentation in CT images., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)