Results 161 to 170 of about 32,314 (198)

Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance. [PDF]

Eur Radiol Exp
Vaccaro M, Rosa E, Placidi E, Guarnera A, Secinaro A, Gandolfo C, Garganese MC, Napolitano A.   +7 more
europepmc   +1 more source

Block compressive sensing-based image denoising framework using optimized sensing matrix and split Bregman algorithm. [PDF]

Sci Rep
Thomas EN, Theeda P, Praveen T.
europepmc   +1 more source

Band-limited implicit neural representations for diffusion-weighted imaging denoising. [PDF]

Phys Med Biol
Li Y, Dai Y, Liao YP, Deng J, Zhang Y.
europepmc   +1 more source

Adaptive multi-feature fusion architecture with optimized learning for high-fidelity brain tumor classification in MRI. [PDF]

Sci Rep
Safy M, Abd-Ellah MK, Bayoumi ES, Salama GM.   +3 more
europepmc   +1 more source

Semantic Communication Based on Slot Attention for MIMO Transmission in 6G Smart Factories. [PDF]

Sensors (Basel)
Chen N, Lin G, Jian R, Wang Y, Fu M, Wang J, Sun L, Li W, Urakami T, Okada M, Shen B, Wang Q, Yu C, Chen F, Shangguan X.   +14 more
europepmc   +1 more source

Frequency-aware vision transformers for high-fidelity super-resolution of Earth system models. [PDF]

Sci Rep
Zeraatkar E, Faroughi SA, Tešić J.
europepmc   +1 more source

Distortion-Aware Routing and Parameter-Shared MoE for Multispectral Remote Sensing Super-Resolution. [PDF]

Sensors (Basel)
Yang S, Chen S, Liu Y, Zhang T.
europepmc   +1 more source

Enhancing U-Net for image denoising with bilateral filter noise residue and gradient estimation (BIRUNet). [PDF]

Sci Rep
Soniya S, Sriharipriya KC, Clement JC, Subramaniam U.   +3 more
europepmc   +1 more source

Dose Prediction Deep Learning-Based Model for VMAT of Prostate Cancer Applying Magnetic Resonance Image (MRI) in Versa HD Linear Accelerator. [PDF]

Adv Biomed Res
Taheri H, Tavakoli M, Mousavi K, Taheri H, Lenjani SL, Farghadani M.   +5 more
europepmc   +1 more source

A Frequency-Aware Self-Supervised Framework for MEMS-OCT Denoising. [PDF]

Biosensors (Basel)
Zhang G, Li Z, Zhao H, Peng Z, Xie H.
europepmc   +1 more source