Haigen Hu
Orcid: 0000-0001-5863-8283
According to our database1,
Haigen Hu
authored at least 63 papers
between 2009 and 2025.
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Bibliography
2025
RMFDNet: Redundant and Missing Feature Decoupling Network for salient object detection.
Eng. Appl. Artif. Intell., 2025
2024
Dilated Heterogeneous Convolution for Cell Detection and Segmentation Based on Mask R-CNN.
Sensors, April, 2024
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation.
CoRR, 2024
DeformSegNet: Segmentation Network Fused with Deformation Field for Pancreatic CT Scans.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Cut-Stitch: A Simple and Effective Data Augmentation Method for Industrial Inspection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
IAFI-FCOS: Intra- and across-layer feature interaction FCOS model for lesion detection of CT images.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Comput. Medical Imaging Graph., March, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
TDRConv: Exploring the Trade-off Between Feature Diversity and Redundancy for a Compact CNN Module.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Deep k-Space Partition-Based Convolutional Networks for Fast Multimodal MRI Reconstruction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images.
Pattern Recognit., 2022
Residual-recursive autoencoder for accelerated evolution in savonius wind turbines optimization.
Neurocomputing, 2022
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Joint Feature Learning for Cell Segmentation Based on Multi-scale Convolutional U-Net.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Accelerating Deeply Cascaded Convolutional Networks for MRI Reconstruction via Pixel-Unshuffle Caused Feature Squeezing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Training deep neural networks for wireless sensor networks using loosely and weakly labeled images.
Neurocomputing, 2021
An adaptive learning method of anchor shape priors for biological cells detection and segmentation.
Comput. Methods Programs Biomed., 2021
A multi-root solver for discontinuous and non-differentiable equations by integrating genetic algorithm and derivative-free iterative methods.
Appl. Soft Comput., 2021
Multi-domain Abdomen Image Alignment Based on Joint Network of Registration and Synthesis.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Detection and Recognition for Life State of Cell Cancer Using Two-Stage Cascade CNNs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
基于CNN的相衬显微图像序列的癌细胞多目标跟踪 (Multi-target Tracking of Cancer Cells under Phase Contrast Microscopic Images Basedon Convolutional Neural Network).
计算机科学, 2019
基于深层卷积残差网络集成的黑色素瘤分类方法 (Melanoma Classification Method by Integrating Deep Convolutional Residual Network).
计算机科学, 2019
A Locating Method for Reliability-Critical Gates with a Parallel-Structured Genetic Algorithm.
J. Comput. Sci. Technol., 2019
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy.
Int. J. Comput. Assist. Radiol. Surg., 2019
Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Gaussian-based Spatial Hybrid Distances for Detection and Segmentation of Lymphoid Lesions in 3D PET Images.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019
MC-Unet: Multi-scale Convolution Unet for Bladder Cancer Cell Segmentation in Phase-Contrast Microscopy Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
A Background-based Data Enhancement Method for Lymphoma Segmentation in 3D PET Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
A fast online multivariable identification method for greenhouse environment control problems.
Neurocomputing, 2018
IEEE Access, 2018
A Multi-channel Multi-classifier Method for Classifying Pancreatic Cystic Neoplasms Based on ResNet.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
2016
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016
2015
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015
2014
NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances.
Neural Comput. Appl., 2014
2012
Sensors, 2012
2011
A Compatible Control Algorithm for Greenhouse Environment Control Based on MOCC Strategy.
Sensors, 2011
Multi-Objective Control Optimization for Greenhouse Environment Using Evolutionary Algorithms.
Sensors, 2011
2010
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
Nonlinear adaptive Neuro-PID controller design for greenhouse environment based on RBF network.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Multi-objective tuning of nonlinear PID controllers for greenhouse environment using Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009