Author

J. Polf

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Exploring Deep Fully Connected Residual Neural Networks for Initial Energy Estimations of Compton Camera Based Prompt Gamma Imaging Data for Proton Radiotherapy

Michelle Ramsahoye, Carlos A. Barajas, M. Gobbert et al. · 0 citations

Improving Proton Beam Radiotherapy by Classifying Simulated Patient Data in Compton Camera Imaging with Neural Networks

Angelo Calingo, Bikash Gautam, Peter L. Jin et al. · 2 citations

Improving Geant4-Simulated Compton Camera Image Reconstruction for Radiopharmaceutical Therapy using 3D Residual U-Nets

Ertan Dogan, Sid Pathak, Victor Sandrin et al. · 1 citation

Experimental Prompt Gamma Scatter Classification and Reorientation for Proton Beam Image Reconstruction

Machine learning models were trained on simulated datasets generated using Geant4 and MCDE and implemented through the Big Data REU Integrated Development and Experimentation (BRIDE) platform to classify and filter scatter events for more accurate image reconstruction.

Ayan Kabaria, M. Khalid, Sophia Lopez et al. · 1 citation

Enhancing Real-Time Imaging for Radiotherapy: Leveraging Hyperparameter Tuning with PyTorch

Kaelen Baird, Sam Kadel, Brandt Kaufmann et al. · 3 citations