Chenglang Yuan
Orcid: 0000-0002-4125-4993
According to our database1,
Chenglang Yuan
authored at least 19 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Improving Tumor Classification by Reusing Self-Predicted Segmentation of Medical Images as Guiding Knowledge.
IEEE J. Biomed. Health Informatics, January, 2024
2023
Self-feedback Transformer: A Multi-label Diagnostic Model for Real-World Pancreatic Neuroendocrine Neoplasms Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Identifying patients with Crohn's disease at high risk of primary nonresponse to infliximab using a radiomic-clinical model.
Int. J. Intell. Syst., December, 2022
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022
CoRR, 2022
2021
Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis.
IEEE J. Biomed. Health Informatics, 2021
Accurate and Feasible Deep Learning Based Semi-Automatic Segmentation in CT for Radiomics Analysis in Pancreatic Neuroendocrine Neoplasms.
IEEE J. Biomed. Health Informatics, 2021
CoRR, 2021
The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
Medical Image Anal., 2020
Medical Image Anal., 2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
CoRR, 2020
Dynamic measurement of pennation angle of gastrocnemius muscles obtained from ultrasound images based on gradient Radon transform.
Biomed. Signal Process. Control., 2020
Automatic Segmentation and Classification of Thyroid Nodules in Ultrasound Images with Convolutional Neural Networks.
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks.
CoRR, 2019