Results 151 to 160 of about 297,336 (298)
Energy dependence of the GAFCHROMIC LD‐V1 in the diagnostic radiographic modalities
Abstract The GAFCHROMIC LD‐V1 radiochromic film is widely used in dosimetry because it can provide high‐resolution two‐dimensional dose distributions without processing. This study aimed to evaluate the response characteristics at different effective energies, from the low‐energy range of mammography to the high‐energy range of computed tomography. Net
Tatsuhiro Gotanda+9 more
wiley +1 more source
Modal dispersion in lightguides in the presence of strong coupling [PDF]
B. Crosignani+2 more
openalex +1 more source
Deep learning for Parkinson's disease classification using multimodal and multi-sequences PET/MR images. [PDF]
Chang Y, Liu J, Sun S, Chen T, Wang R.
europepmc +1 more source
Abstract Purpose This study aims to develop a CycleGAN based denoising model to enhance the quality of low‐dose PET (LDPET) images, making them as close as possible to standard‐dose PET (SDPET) images. Methods Using a Philips Vereos PET/CT system, whole‐body PET images of fluorine‐18 fluorodeoxyglucose (18F‐FDG) were acquired from 37 patients to ...
Yang Liu, ZhiWu Sun, HaoJia Liu
wiley +1 more source
Application of Energy Modal Synthesis to Fast Reactor Burnup Calculation [PDF]
Takashi Kiguchi
openalex +1 more source
Exploitation of Modal Superposition Toward Forced Vibration Localization in a Coupled Symmetric Oscillator Array. [PDF]
Manz Y, Storck H, Gerlach A, Hoffmann N.
europepmc +1 more source
Abstract Purpose Stereotactic radiotherapy (SRT) is a highly effective treatment with precision for small, localized lesions. Proton therapy, characterized by the Bragg peak, offers superior dose conformity compared to photon‐based approaches. However, challenges remain in minimizing lateral penumbra and optimizing dose delivery, particularly for small
Chen‐Yu Chou+3 more
wiley +1 more source
Results Following Three Modalities of Periodontal Therapy [PDF]
Sigurd P. Ramfjord+4 more
openalex +1 more source
Cross-Subject Emotion Recognition with CT-ELCAN: Leveraging Cross-Modal Transformer and Enhanced Learning-Classify Adversarial Network. [PDF]
Li P, Li A, Li X, Lv Z.
europepmc +1 more source