Fucang Jia

Orcid: 0000-0003-0075-979X

According to our database1, Fucang Jia authored at least 40 papers between 2004 and 2024.

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Bibliography

2024
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
CoRR, 2024

2023
MT-FiST: A Multi-Task Fine-Grained Spatial-Temporal Framework for Surgical Action Triplet Recognition.
IEEE J. Biomed. Health Informatics, October, 2023

Surgical action detection based on path aggregation adaptive spatial network.
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

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Medical Image Anal., May, 2023

Double U-Net CycleGAN for 3D MR to CT image synthesis.
Int. J. Comput. Assist. Radiol. Surg., January, 2023

The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 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
2020 CATARACTS Semantic Segmentation Challenge.
CoRR, 2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021

The Medical Segmentation Decathlon.
CoRR, 2021

Stereo Correspondence and Reconstruction of Endoscopic Data Challenge.
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
Augmented reality navigation for liver resection with a stereoscopic laparoscope.
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
Prediction of Liver Respiratory Motion Based on Machine Learning.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

UC-GAN for MR to CT Image Synthesis.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

Brain Tumor Classification with Multimodal MR and Pathology Images.
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

Progressive Hand-Eye Calibration for Laparoscopic Surgery Navigation.
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
A marker-based watershed method for X-ray image segmentation.
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

2010
Curvature-dependent surface visualization of vascular structures.
Comput. Medical Imaging Graph., 2010

2004
Preprocessing based statistical segmentation of MRA dataset.
Proceedings of the Proceedings VRCAI 2004, 2004

A Robust Algorithm for Nerve Slice Contours Correspondence.
Proceedings of the Medical Imaging and Augmented Reality: Second International Workshop, 2004

Digital Virtual Human Based Distance Education System.
Proceedings of the Computer Supported Cooperative Work in Design I, 2004


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