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Neural Networks : the Official Journal of the International Neural Network Society
|
June 10, 2026
MUP-SAM: Multi-scale vision mamba UNet prompt generation for SAM in multi-organ medical image segmentation
Lyuyang Tong, Jingwen Jiang, Bo Du
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
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December 3, 2025
Uncertainty-Guided Adaptive Correction for Semi-Supervised Medical Image Segmentation
Xi Chen, Lyuyang Tong, Huangxuan Zhao, et al.
IEEE Transactions on Medical Imaging
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February 19, 2026
FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation
Jieyun Bai, Yitong Tang, Zihao Zhou, et al.
Medical Image Analysis
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January 28, 2026
IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry
Jieyun Bai, Yitong Tang, Xiao Liu, et al.
Medical Image Analysis
|
January 21, 2026
Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp, et al.
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Search research articles
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Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Neural Networks : the Official Journal of the International Neural Network Society
|
June 10, 2026
MUP-SAM: Multi-scale vision mamba UNet prompt generation for SAM in multi-organ medical image segmentation
Lyuyang Tong, Jingwen Jiang, Bo Du
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
December 3, 2025
Uncertainty-Guided Adaptive Correction for Semi-Supervised Medical Image Segmentation
Xi Chen, Lyuyang Tong, Huangxuan Zhao, et al.
IEEE Transactions on Medical Imaging
|
February 19, 2026
FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation
Jieyun Bai, Yitong Tang, Zihao Zhou, et al.
Medical Image Analysis
|
January 28, 2026
IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry
Jieyun Bai, Yitong Tang, Xiao Liu, et al.
Medical Image Analysis
|
January 21, 2026
Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp, et al.
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of 1