Walter J. Curran
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Piedmont Hospital, Piedmont Cancer Instituteas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-7552-4453
- OpenAlex ID
- A5026088869as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 80
3D transrectal ultrasound (TRUS) prostate segmentation based on optimal feature learning framework,
4D-CT deformable image registration using multiscale unsupervised deep learning,
A Learning-Based Approach to Derive Electron Density from Anatomical MRI for Radiation Therapy Treatment Planning,
A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study,
Automated coronary artery segmentation in Coronary Computed Tomography Angiography (CCTA) using deep learning neural networks,
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network,
Automated left ventricular myocardium segmentation using 3D deeply supervised attention U‐net for coronary computed tomography angiography; CT myocardium segmentation,
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN
+72 more
← Authored by 80
3D transrectal ultrasound (TRUS) prostate segmentation based on optimal feature learning framework,
4D-CT deformable image registration using multiscale unsupervised deep learning,
A Learning-Based Approach to Derive Electron Density from Anatomical MRI for Radiation Therapy Treatment Planning,
A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study,
Automated coronary artery segmentation in Coronary Computed Tomography Angiography (CCTA) using deep learning neural networks,
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network,
Automated left ventricular myocardium segmentation using 3D deeply supervised attention U‐net for coronary computed tomography angiography; CT myocardium segmentation,
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN
+72 more
Affiliated with 3
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Summary
Walter J. Curran is a human[1].