Jiantao Pu
Orcid: 0000-0003-2127-5313
According to our database1,
Jiantao Pu
authored at least 53 papers
between 2000 and 2024.
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Bibliography
2024
BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans.
CoRR, 2024
Causal Relationship Network of Risk Factors Impacting Workday Loss in Underground Coal Mines.
CoRR, 2024
2023
Automated detection and segmentation of pulmonary embolisms on computed tomography pulmonary angiography (CTPA) using deep learning but without manual outlining.
Medical Image Anal., October, 2023
2022
Automated identification of pulmonary arteries and veins depicted in non-contrast chest CT scans.
Medical Image Anal., 2022
Biomed. Signal Process. Control., 2022
EE-Net: An edge-enhanced deep learning network for jointly identifying corneal micro-layers from optical coherence tomography.
Biomed. Signal Process. Control., 2022
2021
Pattern Recognit., 2021
Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network.
Pattern Recognit., 2021
Feasibility assessment of infectious keratitis depicted on slit-lamp and smartphone photographs using deep learning.
Int. J. Medical Informatics, 2021
2020
BG-CNN: A Boundary Guided Convolutional Neural Network for Corneal Layer Segmentation from Optical Coherence Tomography.
Proceedings of the ICBIP 2020: 5th International Conference on Biomedical Signal and Image Processing, 2020
2019
Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning.
CoRR, 2019
Comput. Medical Imaging Graph., 2019
SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images.
Comput. Medical Imaging Graph., 2019
A coarse-to-fine deep learning framework for optic disc segmentation in fundus images.
Biomed. Signal Process. Control., 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Automatic Classification of Exudates in Color Fundus Images Using an Augmented Deep Learning Procedure.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
2018
Signal Process., 2018
Pattern Recognit., 2018
Performance assessment of the deep learning technologies in grading glaucoma severity.
CoRR, 2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images.
CoRR, 2018
2017
Inf. Sci., 2017
2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Comput. Medical Imaging Graph., 2014
Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model.
Int. J. Comput. Assist. Radiol. Surg., 2014
A new mass classification system derived from multiple features and a trained MLP model.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
2013
Computerized identification of airway wall in CT examinations using a 3D active surface evolution approach.
Medical Image Anal., 2013
Computerized detection of retina blood vessel using a piecewise line fitting approach.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Comput. Medical Imaging Graph., 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
2011
Shape "Break-and-Repair" Strategy and Its Application to Automated Medical Image Segmentation.
IEEE Trans. Vis. Comput. Graph., 2011
IEEE Trans. Medical Imaging, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2009
IEEE Trans. Medical Imaging, 2009
A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations.
IEEE Trans. Medical Imaging, 2009
Comput. Aided Des., 2009
Pulmonary airways tree segmentation from CT examinations using adaptive volume of interest.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Visualization, 2009
2008
Comput. Medical Imaging Graph., 2008
Assessment of the relationship between lesion segmentation accuracy and computer-aided diagnosis scheme performance.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
2007
IEEE Computer Graphics and Applications, 2007
2006
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006
2005
Proceedings of the Visualization and Data Analysis 2005, 2005
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005
Proceedings of the Computational Science, 2005
2004
Proceedings of the 12th Pacific Conference on Computer Graphics and Applications, 2004
Proceedings of the 2nd International Symposium on 3D Data Processing, 2004
Proceedings of the 2nd International Symposium on 3D Data Processing, 2004
2000
Proceedings of the Advances in Multimodal Interfaces, 2000