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Maurice Pagnucco

Showing results (1-10 of 9) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|December 6, 2022
Multi-scale multi-reception attention network for bone age assessment in X-ray imagesZhichao Yang, Cong Cong, Maurice Pagnucco, et al.
Medical Image Analysis|March 6, 2023
SAC-Net: Learning with weak and noisy labels in histopathology image segmentationRuoyu Guo, Kunzi Xie, Maurice Pagnucco, et al.
Computers in Biology and Medicine|March 30, 2025
Unsupervised domain adaptation with multi-level distillation boost and adaptive mask for medical image segmentationYongze Wang, Lei Fan, Maurice Pagnucco, et al.
Medical Image Analysis|July 19, 2024
Multi-degradation-adaptation network for fundus image enhancement with degradation representation learningRuoyu Guo, Yiwen Xu, Anthony Tompkins, et al.
Advances in Experimental Medicine and Biology|November 10, 2024
Meta-transfer Learning for Brain Tumor Segmentation: Within and Beyond GliomaShenghui Yan, Sidong Liu, Antonio Di Ieva, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 24, 2025
Vision-Based Multi-Future Trajectory Prediction: A SurveyRenhao Huang, Hao Xue, Maurice Pagnucco, et al.
Medical Image Analysis|September 16, 2022
Colour adaptive generative networks for stain normalisation of histopathology imagesCong Cong, Sidong Liu, Antonio Di Ieva, et al.
Scientific Data|November 8, 2023
An annotated grain kernel image database for visual quality inspectionLei Fan, Yiwen Ding, Dongdong Fan, et al.
Advances in Experimental Medicine and Biology|November 10, 2024
Computer Vision in Digital NeuropathologyCong Cong, Sidong Liu, Antonio Di Ieva, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|December 6, 2022
Multi-scale multi-reception attention network for bone age assessment in X-ray imagesZhichao Yang, Cong Cong, Maurice Pagnucco, et al.
Medical Image Analysis|March 6, 2023
SAC-Net: Learning with weak and noisy labels in histopathology image segmentationRuoyu Guo, Kunzi Xie, Maurice Pagnucco, et al.
Computers in Biology and Medicine|March 30, 2025
Unsupervised domain adaptation with multi-level distillation boost and adaptive mask for medical image segmentationYongze Wang, Lei Fan, Maurice Pagnucco, et al.
Medical Image Analysis|July 19, 2024
Multi-degradation-adaptation network for fundus image enhancement with degradation representation learningRuoyu Guo, Yiwen Xu, Anthony Tompkins, et al.
Advances in Experimental Medicine and Biology|November 10, 2024
Meta-transfer Learning for Brain Tumor Segmentation: Within and Beyond GliomaShenghui Yan, Sidong Liu, Antonio Di Ieva, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 24, 2025
Vision-Based Multi-Future Trajectory Prediction: A SurveyRenhao Huang, Hao Xue, Maurice Pagnucco, et al.
Medical Image Analysis|September 16, 2022
Colour adaptive generative networks for stain normalisation of histopathology imagesCong Cong, Sidong Liu, Antonio Di Ieva, et al.
Scientific Data|November 8, 2023
An annotated grain kernel image database for visual quality inspectionLei Fan, Yiwen Ding, Dongdong Fan, et al.
Advances in Experimental Medicine and Biology|November 10, 2024
Computer Vision in Digital NeuropathologyCong Cong, Sidong Liu, Antonio Di Ieva, et al.
Pageof 1