Results 141 to 150 of about 151,110 (308)

Hybrid intelligence in medical image segmentation. [PDF]

Sci Rep
Ali NM, Oyelere SS, Jitani N, Sarmah R, Andrew S.   +4 more
europepmc   +1 more source

Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew, Maryam Kargaran, Maik Rothe, Andreas Deistung, Dietrich Stoevesandt, Walter A. Wohlgemuth, David Strube, Thomas Kendzierski, Anna Katharina Kölsch, Maurits Gerhard Abraham Heuschen, Markus Otto, Alexander Mensch   +11 more
wiley   +1 more source

A progressive fusion network for endoscopic medical image segmentation. [PDF]

Sci Rep
Fu L, Li Z, Xu C, Chen Y.
europepmc   +1 more source

Swin-UMamba†: Adapting Mamba-Based Vision Foundation Models for Medical Image Segmentation

Jiarun Liu, Hao Yang, Hong-Yu Zhou, Lequan Yu, Yong Liang, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang   +8 more
openalex   +2 more sources

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation [PDF]

Weiren Zhao, Feng Wang, Yanran Wang, Yutong Xie, Qi Wu, Yuyin Zhou   +5 more
openalex   +1 more source

Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel, Charlotte Hennessey, Hannah Lee, Pia Parekh, Sheng‐Han Kuo, Ami Kumar   +5 more
wiley   +1 more source

MFR-UNet: A Medical Image Segmentation Network With Fused Multi-Scale Feature Refinement. [PDF]

IET Syst Biol
Wang S, Shi G, Sun S, Wang Y, Zhang Y, Li W, Zhao Y, Cheng X.   +7 more
europepmc   +1 more source

A Novel Domain Adaptation Framework for Medical Image Segmentation [PDF]

, 2019
Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter Jin, George Biros, Kurt Keutzer   +8 more
openalex   +1 more source

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz, Carl D. Langefeld, Mary E. Comeau, Miranda C. Marion, Tyler P. Behymer, Lee A. Gilkerson, Padmini Sekar, Weihong Yuan, Vivek Khandwala, Brady J. Williamson, Thomas Maloney, Achala Vagal, Pierce Boyne, Kari Dunning, Matthew L. Flaherty, Steven J. Kittner, Prachi Mehndiratta, Gunjan Y. Parikh, Michael L. James, David Roh, Fernando D. Testai, Farhaan S. Vahidy, James Thornton, Ranjit Bagga, Daniel Woo, Stacie L. Demel   +25 more
wiley   +1 more source

Boundary-enhanced sparse transformer for generalizable and accurate medical image segmentation. [PDF]

Sci Rep
Li C, Liu Q, Song J.
europepmc   +1 more source