Prabhakar Ramachandran

7PUBLICATIONS
12CO-AUTHORS
Instruments and techniquesSemi- and unsupervised learningComputational physiologyNeural networksDeep learning
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Publications (7)

|Oct 06, 2026
A conical-reflector scintillation device for 3-dimensional measurement of radiotherapy beams: a feasibility study.

|Dec 20, 2023
Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentation.

Zachery Morton Colbert, Daniel Arrington, Matthew Foote

|Jul 11, 2023
Auto-segmentation of thoracic organs in CT scans of breast cancer patients using a 3D U-net cascaded into 2D patchGANs.

Zachery Morton Colbert, Prabhakar Ramachandran

|Oct 19, 2022
Autosegmentation of brain metastases using 3D FCNN models and methods to manage GPU memory limitations.

Joshua Bognar, Prabhakar Ramachandran

|Jul 11, 2022
A direct comparison of the optically stimulated luminescent properties of BeO and Al2O3 for clinical in-vivo dosimetry.

Benjamin Broadhead, Christopher Noble, Prabhakar Ramachandran

|Oct 29, 2021
A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients.

Ryan Motley, Prabhakar Ramachandran, Andrew Fielding

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Frequent Collaborators

2 joint publications

Benjamin Broadhead

2 joint publications

Zachery Morton Colbert

1 joint publications

Ryan Motley

1 joint publications

Joshua Bognar