Results 231 to 240 of about 667,864 (326)

Microbiome data integration via shared dictionary learning. [PDF]

Nat Commun
Yuan B, Wang S.
europepmc   +1 more source

Deciphering nodal burden in thyroid carcinoma: A dedicated survey of age, lymph node ratio, log odds of positive nodes, and preoperative prediction models

Journal of Intelligent Medicine, EarlyView.
Abstract Evidence regarding the prognosis of thyroid carcinoma is heterogeneous, ranging from age effects and nodal burden metrics, such as lymph node ratio (LNR) and log odds of positive nodes (LODDS), to preoperative imaging models comprising ultrasound, CEUS, and radiomics.
Mennatallah Sherif, Mohanad A. Deif, Eman K. Elsayed   +2 more
wiley   +1 more source

Compressed sensing expands the multiplexity of imaging mass cytometry. [PDF]

Nat Commun
Hosogane T, Santana LS, Eling N, Moch H, Bodenmiller B.   +4 more
europepmc   +1 more source

Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang, Walter Zhao, Yifan Wang, Deborah H. Kwon, Ting‐Yu Su, Nancy A. Obuchowski, Mark A. Griswold, Zhong Irene Wang, Dan Ma   +8 more
wiley   +1 more source

ArYSL: Arabic Yemeni sign language dataset. [PDF]

Data Brief
A A Mosleh M, Mohammed RAA, Mohammed AAA, Gumaei AH.   +3 more
europepmc   +1 more source

Cardiac MR Fingerprinting at 0.55T Using a Deep Image Prior for Joint T1, T2, and M0 Mapping

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background 0.55T systems offer unique advantages and may support expanded access to cardiac MRI. Purpose To assess the feasibility of 0.55T cardiac MR Fingerprinting (MRF), leveraging a deep image prior reconstruction to mitigate noise. Study Type Phantom and prospective in vivo assessment.
Zhongnan Liu, Zexuan Liu, Imran Rashid, Mauricio Stanzione Galizia, Christopher Scoma, William Truesdell, Prachi Agarwal, Nicole Seiberlich, Liyue Shen, Jesse Hamilton   +9 more
wiley   +1 more source

SINDy-RL for interpretable and efficient model-based reinforcement learning. [PDF]

Nat Commun
Zolman N, Lagemann C, Fasel U, Kutz JN, Brunton SL.   +4 more
europepmc   +1 more source

Towards Clinical Translation of Intravoxel Incoherent Motion MRI: Acquisition and Analysis Consensus Recommendations

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Intravoxel incoherent motion (IVIM) MRI allows for simultaneous assessment of tissue microcirculation (perfusion) and diffusion of water. In single‐center studies, IVIM has shown great potential for diagnosis, treatment outcome prediction, and treatment monitoring for many different diseases and organs.
Eric E. Sigmund, Susanne S. Rauh, Mami Iima, Christian Federau, Diego Hernando, Oscar Jalnefjord, Jacobus F. A. Jansen, Jonas Jasse, Neil Peter Jerome, Misha P. T. Kaandorp, Sila Kurugol, Frederik B. Laun, Mira M. Liu, Alexandra Ljimani, Thoralf Niendorf, David A. Reiter, Mohammed Salman Shazeeb, Amita Shukla‐Dave, Julia Stabinska, Andreas Wetscherek, Peter T. While, Dan Wu, Denis Le Bihan, Oliver J. Gurney‐Champion   +23 more
wiley   +1 more source

Informed Dictionary-Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI. [PDF]

Magn Reson Med
Park JS, Manninen E, Manninen E, Yang Y, Benjamini D.   +4 more
europepmc   +1 more source

Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL). Purpose This study evaluates the reliability and interchangeability of MRF‐derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis.
Mika T. Nevalainen, Olli Nykänen, Jyri Järvinen, Antti Kemppainen, Lasse Räsänen, Victor Casula, Martijn Cloos, Riccardo Lattanzi, Mikko J. Nissi, Miika T. Nieminen   +9 more
wiley   +1 more source