Thomas C. Shen

According to our database1, Thomas C. Shen authored at least 19 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Universal detection and segmentation of lymph nodes in multi-parametric MRI.
Int. J. Comput. Assist. Radiol. Surg., January, 2024

Detection of abdominopelvic lymph nodes in multi-parametric MRI.
Comput. Medical Imaging Graph., 2024

2023
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision.
Comput. Medical Imaging Graph., September, 2023

Universal lymph node detection in T2 MRI using neural networks.
Int. J. Comput. Assist. Radiol. Surg., February, 2023

How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Universal lymph node detection in multiparametric MRI with selective augmentation.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Automated classification of intravenous contrast enhancement phase of CT scans using residual networks.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images.
Medical Image Anal., 2022

Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Lymph node detection in T2 MRI with transformers.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training.
IEEE Trans. Medical Imaging, 2021

Discriminative ensemble learning for few-shot chest x-ray diagnosis.
Medical Image Anal., 2021

Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Automatic recognition of abdominal lymph nodes from clinical text.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020


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