Fucang Jia
Orcid: 0000-0003-0075-979X
According to our database1,
Fucang Jia
authored at least 45 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A position-enhanced sequential feature encoding model for lung infections and lymphoma classification on CT images.
Int. J. Comput. Assist. Radiol. Surg., October, 2024
Int. J. Comput. Assist. Radiol. Surg., July, 2024
EndoSRR: a comprehensive multi-stage approach for endoscopic specular reflection removal.
Int. J. Comput. Assist. Radiol. Surg., June, 2024
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
CoRR, 2024
Geometry-Aware Enhancement-Based Point Elimination with Overlapping Mask Learning for Partial Point Cloud Registration.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
MT-FiST: A Multi-Task Fine-Grained Spatial-Temporal Framework for Surgical Action Triplet Recognition.
IEEE J. Biomed. Health Informatics, October, 2023
Multim. Tools Appl., July, 2023
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Medical Image Anal., May, 2023
Medical Image Anal., May, 2023
Int. J. Comput. Assist. Radiol. Surg., January, 2023
Intraoperative laparoscopic liver surface registration with preoperative CT using mixing features and overlapping region masks.
Int. J. Comput. Assist. Radiol. Surg., 2023
2022
Unsupervised learning of depth estimation from imperfect rectified stereo laparoscopic images.
Comput. Biol. Medicine, 2022
Medical image fusion via discrete stationary wavelet transform and an enhanced radial basis function neural network.
Appl. Soft Comput., 2022
2021
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021
MDCC-Net: Multiscale double-channel convolution U-Net framework for colorectal tumor segmentation.
Comput. Biol. Medicine, 2021
Against spatial-temporal discrepancy: contrastive learning-based network for surgical workflow recognition.
Int. J. Comput. Assist. Radiol. Surg., 2021
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.
BMC Medical Imaging, 2021
Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Semi-supervised Semantic Segmentation of Cataract Surgical Images based on DeepLab v3+.
Proceedings of the ICCDA 2021: The 5th International Conference on Compute and Data Analysis, 2021
2020
Comput. Methods Programs Biomed., 2020
Non-contrast CT Liver Segmentation Using CycleGAN Data Augmentation from Contrast Enhanced CT.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
2019
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement.
IEEE Access, 2018
2017
A Novel Technique for Robust and Fast Segmentation of Corneal Layer Interfaces Based on Spectral-Domain Optical Coherence Tomography Imaging.
IEEE Access, 2017
Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017
2016
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.
IEEE Trans. Medical Imaging, 2016
Brain tumor segmentation from multimodal magnetic resonance images via sparse representation.
Artif. Intell. Medicine, 2016
2015
Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy c-Means Clustering.
Comput. Math. Methods Medicine, 2015
Automatic Brain Tumor Segmentation from MR Images via a Multimodal Sparse Coding Based Probabilistic Model.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Fully Automatic Multi-Organ Segmentation Based on Multi-Boost Learning and Statistical Shape Model Search.
Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015), 2015
2014
Comput. Methods Programs Biomed., 2014
Automatic Liver Segmentation Using Statistical Prior Models and Free-form Deformation.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
2013
Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient.
Medical Image Anal., 2013
2012
Automatic Detection of the Existence of Subarachnoid Hemorrhage from Clinical CT Images.
J. Medical Syst., 2012
Automatic subarachnoid space segmentation and hemorrhage detection in clinical head CT scans.
Int. J. Comput. Assist. Radiol. Surg., 2012
2010
Comput. Medical Imaging Graph., 2010
2004
Proceedings of the Proceedings VRCAI 2004, 2004
Proceedings of the Medical Imaging and Augmented Reality: Second International Workshop, 2004
Proceedings of the Computer Supported Cooperative Work in Design I, 2004