Jiansheng Fang

Orcid: 0000-0003-0616-7074

According to our database1, Jiansheng Fang authored at least 34 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
3D Nodule Content-Based Metric Learning for Evidence-Based Lung Cancer Screening.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Flattening Singular Values of Factorized Convolution for Medical Images.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth.
IEEE Trans. Medical Imaging, December, 2023

PPCR: Learning Pyramid Pixel Context Recalibration Module for Medical Image Classification.
CoRR, 2023

Deep metric learning with mirror attention and fine triplet loss for fundus image retrieval in ophthalmology.
Biomed. Signal Process. Control., 2023

FFNET: An End-To-End Framework Based on Feature Pyramid Network and Filter Network for Pulmonary Nodule Detection.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multi-Scale Retina Vessel Segmentation in OCTA with a Vascular Connectivity Module in the Convolutional Neural Network.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Concordance Learning with Spectral Decay on Triplet Similarity.
Proceedings of the IEEE International Conference on Data Mining, 2023

Combating Coronary Calcium Scoring Bias for Non-gated CT by Semantic Learning on Gated CT.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Combating spatial redundancy with spectral norm attention in convolutional learners.
Neurocomputing, 2022

Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey.
Int. J. Autom. Comput., 2022

Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Weighted Concordance Index Loss-Based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Factorized Convolution with Spectral Normalization for Fundus Screening.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Pulmonary Nodule Detection Based on RPN with Squeeze-and-Excitation Block.
Proceedings of the 2022 The 5th International Conference on Control and Computer Vision, 2022

Factoring 3D Convolutions for Medical Images by Depth-wise Dependencies-induced Adaptive Attention.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Reassembling Consistent-Complementary Constraints in Triplet Network for Multi-view Learning of Medical Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval.
IEEE J. Biomed. Health Informatics, 2021

Deep triplet hashing network for case-based medical image retrieval.
Medical Image Anal., 2021

Weighing features of lung and heart regions for thoracic disease classification.
BMC Medical Imaging, 2021

A Multi-Scale Self-Attention Network for Diabetic Retinopathy Retrieval.
Proceedings of the ICCCV 2021: 4th International Conference on Control and Computer Vision, Macau, SAR, China, August 13, 2021

2020
Ultrasound-Guided Femoral Nerve Block Anesthesia for Tibiofibular Fracture.
J. Medical Imaging Health Informatics, 2020

Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey.
CoRR, 2020

A Novel Deep Learning Method for Nuclear Cataract Classification Based on Anterior Segment Optical Coherence Tomography Images.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Weighted Graph Attention Network Based Method for Multi-label Classification of Electrocardiogram Abnormalities.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Deep Multi-instance Networks for Bundle Branch Block Detection from Multi-lead ECG.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Attention-based Saliency Hashing for Ophthalmic Image Retrieval.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Time Series Imputation via Integration of Revealed Information Based on the Residual Shortcut Connection.
IEEE Access, 2019

Knowledge Recommendation Based on Item Response Theory.
Proceedings of the 15th International Conference on Semantics, Knowledge and Grids, 2019

MOC: Measuring the Originality of Courseware in Online Education Systems.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Video-Based Cross-Modal Recipe Retrieval.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

An Ensemble Neural Network for Multi-label Classification of Electrocardiogram.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019

Exercise Difficulty Prediction in Online Education Systems.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019


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