Results 201 to 210 of about 86,909 (315)

A simplified retriever to improve accuracy of phenotype normalizations by large language models. [PDF]

Front Digit Health
Hier DB, Do TS, Obafemi-Ajayi T.
europepmc   +1 more source

Saturation transfer MR fingerprinting for magnetization transfer contrast and chemical exchange saturation transfer quantification

Magnetic Resonance in Medicine, Volume 94, Issue 3, Page 993-1009, September 2025.
Abstract Purpose The aim of this study was to develop a saturation transfer MR fingerprinting (ST‐MRF) technique using a biophysics model‐driven deep learning approach. Methods A deep learning–based quantitative saturation transfer framework was proposed to estimate water, magnetization transfer contrast, and amide proton transfer (APT) parameters plus
Munendra Singh, Beomgu Kang, Sultan Z. Mahmud, Peter van Zijl, Jinyuan Zhou, Hye‐Young Heo   +5 more
wiley   +1 more source

Research on time-division multiplexing for error correction and privacy amplification in post-processing of quantum key distribution. [PDF]

Sci Rep
Chen L, Chen XM, Yan YL.
europepmc   +1 more source

<title>Enhanced robustness in image watermarking using turbo codes</title>

, 2003
Christian Rey, Karine Amis, Jean‐Luc Dugelay, Ramesh Pyndiah, Annie Picart   +4 more
openalex   +2 more sources

Bit-interleaved turbo-coded noncoherent orthogonal modulation with iterative demodulation and decoding: capacity limits and convergence analysis [PDF]

, 2005
Shi Cheng, Matthew C. Valenti
openalex   +1 more source

Quantitative susceptibility mapping in magnetically inhomogeneous tissues

Magnetic Resonance in Medicine, Volume 94, Issue 3, Page 1044-1059, September 2025.
Abstract Purpose Conventional quantitative susceptibility mapping (QSM) methods rely on simplified physical models that assume isotropic and homogeneous tissue properties, leading to artifacts and inaccuracies in biological tissues. This study aims to develop and evaluate DEEPOLE, a deep learning–based method that incorporates macroscopically ...
Thomas Jochmann, Fahad Salman, Michael G. Dwyer, Niels Bergsland, Robert Zivadinov, Jens Haueisen, Ferdinand Schweser   +6 more
wiley   +1 more source

MRAgent: an LLM-based automated agent for causal knowledge discovery in disease via Mendelian randomization. [PDF]

Brief Bioinform
Xu W, Luo G, Meng W, Zhai X, Zheng K, Wu J, Li Y, Xing A, Li J, Li Z, Zheng K, Li K.   +11 more
europepmc   +1 more source

Optimum frame synchronization for preamble-less packet transmission of turbo codes [PDF]

, 2005
Jian Sun, Matthew C. Valenti
openalex   +1 more source

Comparative efficacy and safety of intravenous racemic ketamine, repetitive transcranial magnetic stimulation and electroconvulsive therapy for Stage 2 or higher treatment‐resistant depression: A systematic review and network meta‐analysis

Psychiatry and Clinical Neurosciences Reports, Volume 4, Issue 3, September 2025.
Considering the drawbacks of electroconvulsive therapy (ECT), intravenous racemic ketamine (IV ketamine) and repetitive transcranial magnetic stimulation (rTMS) may be preferable alternative treatments as they demonstrate no apparent inferiority in antidepressant efficacy.
Itsuki Terao, Takahiro Tsuge, Tomoo Sato, Kaori Endo, Kazumasa Kotake, Masahiro Banno, Yuki Kataoka   +6 more
wiley   +1 more source

A Practical Guide and Assessment on Using ChatGPT to Conduct Grounded Theory: Tutorial.

J Med Internet Res
Yue Y, Liu D, Lv Y, Hao J, Cui P.
europepmc   +1 more source