Diffusional magnetic resonance imaging anonymizing with variational autoencoder
Abstract Anonymization is a crucial de‐identification technique that protects data privacy while ensuring its utility for model building. Current generative models such as generative adversarial networks and variational auto‐encoders (VAEs) have been applied to medical image anonymization but mainly focus on general image features, lacking specificity ...
Yunheng Shen +4 more
wiley +1 more source
Content-Adaptive Traffic Prioritization of Spatio-Temporal Scalable Video for Robust Communications over QoS-Provisioned 802.11e Networks [PDF]
A. Fiandrotti +9 more
core +1 more source
Mechanically reconfigurable metasurfaces enable high‐capacity optical storage and holography due to low cost/complexity. A differentiable inverse design framework maps meta‐atom geometries to multichannel optical responses via deep neural networks. Rotatable cascaded metasurfaces optimized through this pipeline achieve pixel‐level holography with 288 ...
Ting Ma +4 more
wiley +1 more source
Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan +24 more
wiley +1 more source
High‐Resolution Diffusion‐Weighted Imaging With Self‐Gated Self‐Supervised Unrolled Reconstruction
ABSTRACT Purpose High‐resolution diffusion‐weighted imaging (DWI) is clinically demanding. The purpose of this work is to develop an efficient self‐supervised algorithm unrolling technique for submillimeter‐resolution DWI. Methods We developed submillimeter DWI acquisition utilizing multi‐band multi‐shot EPI with diffusion shift encoding.
Zhengguo Tan +4 more
wiley +1 more source
Pengukuran kualitas video secara objektif mampu mengatasi kekurangan penilaian kualitas secara subjektif dalam hal waktu dan tenaga yang dibutuhkan. Pengukuran secara objektif ini menggunakan sinyal video, noise, dan parameter encoder untuk memperkirakan
Yoanda Alim Syahbana +2 more
doaj
T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐Weighted Imaging of Water, Fat and Silicone
ABSTRACT Purpose Magnetic resonance imaging (MRI) is a sensitive method for assessing silicone implant integrity, with T2$$ {T}_2 $$‐weighted imaging being essential for detecting abnormalities in surrounding tissue. Silicone breast imaging protocols often require multiple tailored sequences for species suppression and diagnostic contrast. We propose a
Aizada Nurdinova +6 more
wiley +1 more source
HACR-Net: An Efficient hybrid attention network for MRI image super-resolution. [PDF]
Muhammad A +3 more
europepmc +1 more source
Cross‐Site Generalization of CNN‐Based B1+$$ {B}_1^{+} $$ Mapping in UHF MRI
The study demonstrates that CNN%‐based B1+$$ {B}_1^{+} $$ mapping transfers across sites with only moderate accuracy loss: while on‐site RMSEs were as low as ~3%, cross‐site predictions increased errors but remained qualitatively robust. Despite these deviations, cross‐site maps successfully enabled dynamic 4kT‐points pulses, achieving flip‐angle ...
Kimon Hadjikiriakos +13 more
wiley +1 more source
Image reconstruction from incomplete data via approximated pseudo-inverse and dual-domain coupled diffusion posterior sampling. [PDF]
Xing Q +5 more
europepmc +1 more source

