Benjamin Veasey

Orcid: 0000-0002-7012-4493

According to our database1, Benjamin Veasey authored at least 10 papers between 2019 and 2023.

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

2023
Performance of a bank of 2D efficient-nets for benign/malignant classification of lung nodules in 3D thoracic x-ray CT scans.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

Survival Outcome Prediction for Stereotactic Body Radiation Therapy of Lung Cancer from Post-RT Ct Images with RNN/CNN Deep Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans. Medical Imaging, 2021

3D U-net for registration of lung nodules in longitudinal CT scans.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Joint Learning for Deformable Registration and Malignancy Classification of Lung Nodules.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
AI in Medical Imaging Informatics: Current Challenges and Future Directions.
IEEE J. Biomed. Health Informatics, 2020

3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Lung Nodule Malignancy Classification Based ON NLSTx Data.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
A comparative study of graph search algorithms for segmenting coronary arteries from cine angiography.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019


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