| Operation of the preclinical head scanner for proton CT HFW Sadrozinski, T Geoghegan, E Harvey, RP Johnson, TE Plautz, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2016 | 43 | 2016 |
| Results from a prototype proton-CT head scanner RP Johnson, VA Bashkirov, G Coutrakon, V Giacometti, P Karbasi, ... Physics Procedia 90, 209-214, 2017 | 30 | 2017 |
| An improved method of total variation superiorization applied to reconstruction in proton computed tomography B Schultze, Y Censor, P Karbasi, KE Schubert, RW Schulte IEEE transactions on medical imaging 39 (2), 294-307, 2019 | 23 | 2019 |
| Preoperative prediction of lymph node metastasis from clinical DCE MRI of the primary breast tumor using a 4D CNN S Nguyen, D Polat, P Karbasi, D Moser, L Wang, K Hulsey, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 21 | 2020 |
| Particle-tracking proton computed tomography—data acquisition, preprocessing, and preconditioning B Schultze, P Karbasi, C Sarosiek, G Coutrakon, CE Ordoñez, NT Karonis, ... IEEE Access 9, 25946-25958, 2021 | 20 | 2021 |
| Reconstructing highly accurate relative stopping powers in proton computed tomography B Schultze, P Karbasi, V Giacomelli, T Plautz, KE Schübert, RW Schulte 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2015 | 15 | 2015 |
| Incorporating robustness in diagonally-relaxed orthogonal projections method for proton computed tomography P Karbasi, B Schultze, V Giacometti, T Plautz, KE Schubert, RW Schulte, ... 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2015 | 11 | 2015 |
| A highly accelerated parallel multi-gpu based reconstruction algorithm for generating accurate relative stopping powers P Karbasi, R Cai, B Schultze, H Nguyen, J Reed, P Hall, V Giacometti, ... 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2017 | 6 | 2017 |
| A scalable open-source MATLAB toolbox for reconstruction and analysis of multispectral optoacoustic tomography data D O’Kelly, J Campbell, JL Gerberich, P Karbasi, V Malladi, A Jamieson, ... Scientific Reports 11 (1), 2021 | 5 | 2021 |
| Robust and Efficient Methods for Proton Computed Tomography SP Karbasi Baylor University, 2018 | 3 | 2018 |
| A layered, hybrid machine learning analytic workflow for mouse risk assessment behavior J Wang, P Karbasi, L Wang, JP Meeks eneuro 10 (1), 2023 | 2 | 2023 |
| Robust iterative methods: Convergence and applications to proton computed tomography P Karbasi, KE Schubert, B Schultze, V Bashkirov, RP Johnson, ... 25th International Conference on the Application of Accelerators in Research …, 2019 | 1 | 2019 |
| A fast seeding technique for k-means algorithm. SP Karbasi | 1 | 2014 |
| Machine Learning Prediction of Lymph Node Metastasis in Breast Cancer: Performance of a Multi-institutional MRI-based 4D Convolutional Neural Network DS Polat, S Nguyen, P Karbasi, K Hulsey, MC Cobanoglu, L Wang, ... Radiology: Imaging Cancer 6 (3), e230107, 2024 | | 2024 |
| Recommendations Made Easy D Guinness, SP Karbasi, R Nazarov, GD Speegle | | 2014 |
| Research Online P Karbasi, R Cai, B Schultze, H Nguyen, J Reed | | |
