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1. Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection

3. First Images of a Three-layer Compton Telescope Prototype for Treatment Monitoring in Hadron Therapy

4. Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection

5. Experimental evaluation of the resolution improvement provided by a silicon PET probe

6. First Images of a Three-layer Compton Telescope Prototype for Treatment Monitoring in Hadron Therapy

7. Modelling Random Coincidences in Positron Emission Tomography by Using Singles and Prompts: A Comparison Study

8. Application of Artificial Neural Network for Reducing Random Coincidences in PET

9. High performance detector head for PET and PET/MR with continuous crystals and SiPMs

10. The AX-PET Concept: New Developments And Tomographic Imaging

11. Development of a PET Prototype with Continuous LYSO Crystals and Monolithic SiPM Matrices

12. Demonstration of an Axial PET concept for brain and small animal imaging

13. Performance of the AX-PET Demonstrator

14. The AX-PET project: Demonstration of a high resolution axial 3D PET

15. AX-PET: A novel PET detector concept with full 3D reconstruction

16. Prospects for the Zee-Babu Model at the LHC and low energy experiments

17. Power corrections in models with extra dimensions

18. Can power corrections be reliably computed in models with extra dimensions?

19. Bounds on models with one latticized extra dimension

20. Study of sensitivity and resolution for full ring PET prototypes based on continuous crystals and analytical modeling of the light distribution.

21. Study and comparison of different sensitivity models for a two-plane Compton camera.

22. Performance evaluation of MACACO: a multilayer Compton camera.

23. Performance of MACACO Compton telescope for ion-beam therapy monitoring: first test with proton beams.

24. 3D position determination in monolithic crystals coupled to SiPMs for PET.

25. Modelling Random Coincidences in Positron Emission Tomography by Using Singles and Prompts: A Comparison Study.

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