Image de couverture de livre

Theoretical novel medical isotope production with deuterium-tritium fusion technology

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Evitts, Lee J., Miller, Philip W., Da Pieve, Chiara, Turner, Andrew, Borini, Stefano
Format:	Preprint
Publié:	2025
Sujets:	Medical Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Super Phantoms: advanced models for testing medical imaging technologies
par: Manohar, Srirang, et autres
Publié: (2023)

Virtual imaging trials are paving the way for the future of medical imaging
par: Andrew D. A. Maidment, et autres
Publié: (2025)

A novel federated learning framework for medical imaging: Resource‐efficient approach combining PCA with early stopping
par: Negin Piran Nanekaran, et autres
Publié: (2025)

Safety, feasibility, and acceptability of a novel device to monitor ischaemic stroke patients
par: van Bohemen, Samuel J, et autres
Publié: (2024)

Technical assessment of a novel vertical CT system for upright radiotherapy simulation and treatment planning
par: Slagowski, Jordan M., et autres
Publié: (2025)

Technical assessment of a novel vertical CT system for upright radiotherapy simulation and treatment planning
par: Jordan M. Slagowski, et autres
Publié: (2026)

Low energy elastic scattering of hydrogen, deuterium and tritium on helium isotopes
par: Jones, B. J. P., et autres
Publié: (2026)

Electron beam monitoring of a modified conventional medical accelerator with a portable current transformer system traceable to primary electrical standards
par: James Renaud, et autres
Publié: (2025)

Anatomically and mechanically conforming patient-specific spinal fusion cages designed by full-scale topology optimization
par: Smit, Thijs, et autres
Publié: (2024)

Attention‐enhanced multiscale feature fusion network for pancreas and tumor segmentation
par: Kaiqi Dong, et autres
Publié: (2024)

Toward widespread use of virtual trials in medical imaging innovation and regulatory science
par: Ehsan Abadi, et autres
Publié: (2024)

Design and characterization of a novel scintillator array for UHDR PBS proton therapy surface dosimetry
par: Roman Vasyltsiv, et autres
Publié: (2025)

A dual‐interactive fusion network for low‐dose CT image denoising
par: Jingyi Wang, et autres
Publié: (2025)

Uncertainty‐guided cross‐level fusion network for retinal OCT image segmentation
par: Jiaxin Wang, et autres
Publié: (2025)

Risk classification of thymoma based on multi‐feature fusion in dynamic enhanced CT
par: Xiayan Peng, et autres
Publié: (2025)

Novel pre‐spatial data fusion deep learning approach for multimodal volumetric outcome prediction models in radiotherapy
par: John C. Asbach, et autres
Publié: (2025)

Consistent performance between medical experts and non‐expert readers in forced‐choice lesion‐detection tasks with PET images
par: Craig K. Abbey, et autres
Publié: (2025)

Introducing a novel sub‐millimeter lung CT image registration error quantitation tool
par: Peter Boyle, et autres
Publié: (2024)

Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics
par: Rucha Deshpande, et autres
Publié: (2024)

Multi‐pathway fusion network for early‐stage breast tumor segmentation from MRI
par: Yeru Xia, et autres
Publié: (2025)

Liver fibrosis automatic diagnosis utilizing dense‐fusion attention contrastive learning network
par: Yuhui Guo, et autres
Publié: (2024)

A Hybrid‐Mamba network with dual level attention fusion for multimodal COPD diagnosis
par: Feifan Zhang, et autres
Publié: (2026)

Enhancing voxel‐based dosimetry accuracy with an unsupervised deep learning approach for hybrid medical image registration
par: Keon Min Kim, et autres
Publié: (2024)

Image‐guided surgery: Technology and opportunities for medical physics
par: Jeffrey H. Siewerdsen
Publié: (2025)

Inference‐specific learning for improved medical image segmentation
par: Yizheng Chen, et autres
Publié: (2025)

Reliable segmentation of multiple lesions from medical images
par: Meng Wang, et autres
Publié: (2024)

Anti-scatter grid prototype manufactured via laser powder bed fusion of pure tungsten
par: Diachkov, I., et autres
Publié: (2025)

Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysis
par: Amir Moslemi, et autres
Publié: (2025)

Mamba‐Convolutional UNet for multi‐modal medical image synthesis
par: WenLong Lin, et autres
Publié: (2025)

Decentralized learning for medical image classification with prototypical contrastive network
par: Zhantao Cao, et autres
Publié: (2025)

Deep self‐cleansing for medical image segmentation with noisy labels
par: Jiahua Dong, et autres
Publié: (2025)

Accelerating vision foundation model for efficient medical image segmentation
par: Xian‐Tao Wu, et autres
Publié: (2025)

Theoretical and experimental study of attenuation in cancellous bone
par: Xu, Wenyi, et autres
Publié: (2023)

Dual branch segment anything model‐transformer fusion network for accurate breast ultrasound image segmentation
par: Yu Li, et autres
Publié: (2025)

A deep‐learning‐based pipeline for automatic fusion of CT coronary angiogram and stress perfusion CMR
par: Wenting Jiang, et autres
Publié: (2026)

Characterization of a novel plastic scintillation detector for in vivo electron dosimetry
par: Bauer, Cornelius J., et autres
Publié: (2025)

Characterization and virtualization of a medical ultrasound transducer
par: Blanken, Nathan, et autres
Publié: (2025)

Characterization of a novel pulse normalization technology for beam scanning of small fields without a reference chamber
par: Garrett C. Baltz, et autres
Publié: (2024)

Uncertainty‐guided test‐time optimization for personalizing segmentation models in longitudinal medical imaging
par: Jaehee Chun, et autres
Publié: (2025)

Vision mamba augmented segment anything model for medical image segmentation
par: Zimao Li, et autres
Publié: (2026)