Results 141 to 150 of about 907,440 (282)

Author Correction: A cross-sectional case–control study on the structural connectome in recovered hospitalized COVID-19 patients

Scientific Reports, 2023
Elke Lathouwers, Ahmed Radwan, Jeroen Blommaert, Lara Stas, Bruno Tassignon, Sabine D. Allard, Filip De Ridder, Elisabeth De Waele, Nicole Hoornaert, Patrick Lacor, Rembert Mertens, Maarten Naeyaert, Hubert Raeymaekers, Lucie Seyler, Anne-Marie Vanbinst, Lien Van Liedekerke, Jeroen Van Schependom, Peter Van Schuerbeek, Steven Provyn, Bart Roelands, Marie Vandekerckhove, Romain Meeusen, Stefan Sunaert, Guy Nagels, Johan De Mey, Kevin De Pauw   +25 more
doaj   +1 more source

Premaxillary Fat Pads on Magnetic Resonance Imaging (MRI) as a Marker of Steroid Side Effects. [PDF]

Cureus
A R, Goel T, Garg P, Peer S, Wander A.
europepmc   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Clinical Profile, Magnetic Resonance Imaging (MRI) Findings, and Neurological Outcomes in Neonatal Rotavirus Encephalitis: A Prospective Observational Study. [PDF]

Cureus
Sakaleshpur Kumar V, Veeraiah PS, Mathew G.   +2 more
europepmc   +1 more source

Metamaterial Antennas Enhance MRI of the Eye and Occipital Brain

Advanced Materials, EarlyView.
A radiofrequency antenna platform comprising planar and bend configurations is developed, incorporating structurally integrated epsilon‐negative metamaterial unit cells to enhance MRI. These antennas enable high‐resolution in vivo human MRI of the eye, orbit, and occipital brain. Comprehensive validation, including simulations, phantom experiments, SAR,
Nandita Saha, Bilguun Nurzed, Mostafa Berangi, Andre Kuehne, Helmar Waiczies, Igor Fabian Tellez Ceja, Xiang Hu, Thomas Gladytz, Lisa Krenz, Dave Huebler, Beate Endemann, Claudia Brockmann, Ebba Beller, Oliver Stachs, Thoralf Niendorf   +14 more
wiley   +1 more source

Nonlinear inversion model-driven deep learning method for magnetic resonance imaging (MRI) quantitative susceptibility mapping imaging. [PDF]

Quant Imaging Med Surg
Sun Y, Guo H, Li M, Zhang Z.
europepmc   +1 more source

Fabrication, Properties, and Applications of Scaffolds for Bone Tissue Regeneration

Advanced Materials Technologies, EarlyView.
This review explores cutting‐edge biomaterials and fabrication techniques for scaffolds in bone tissue regeneration. It conducts a critical comparison of various strategies, meticulously analyzes the key contradictions in the field, and outlines an integrated development path spanning from biomaterial selection to clinical application, while ...
Shangsi Chen, Min Wang
wiley   +1 more source

Hypothesis-Generating Magnetic Resonance Imaging (MRI) Observation of Maisonneuve Fractures With Discontinuous Interosseous Membrane Injury: A Three-Case Series. [PDF]

Cureus
Sato M, Kimura T, Saito M, Fukuda T, Kubota M.   +4 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Multi-parameter magnetic resonance imaging (MRI) deep learning radiomics predicts complete response after induction immunochemotherapy in locally advanced nasopharyngeal carcinoma. [PDF]

Transl Cancer Res
Zhu B, Zhu L, Chen K, Li L, Zhu X.
europepmc   +1 more source