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Magnetic resonance imaging

Efficacy and limitations of diffusion-weighted imaging with background suppression-based whole-body magnetic resonance imaging in high-risk prostate cancer staging: A retrospective study

Nobuyuki Nakajima, Toshiki Kazama, [ ... ], Sunao Shoji

Increased medial meniscus extrusion on ultrasonography in highly competitive rugby players: A cross-sectional study

Kaoru Okano, Norimitsu Kinoshita, Ayame Matsuoka, Hiroaki Seto

In vivo rectal dosimeter with MRI marker

Euntaek Yoon, Jin Dong Cho, [ ... ], Jung-in Kim

Predictors and evolution of post-stroke depression among adults admitted for first stroke at referral hospitals in Dodoma, Tanzania: A protocol for a prospective longitudinal observational study

Sadiki Mandari, Azan Nyundo

Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost)

Maaidah M. Algamdi, Ali H. Alghamdi

Feature integration of [¹⁸F]FDG PET brain imaging using deep learning for sensitive cognitive decline detection

Youjin Lee, Seonguk Kim, [ ... ], for the Alzheimer’s Disease Neuroimaging Initiative

Sequence-robust MRI asymmetry measures for the detection of anoperineal lesions in Crohn’s disease on axial pelvic MRI scans

Corentin Lucas, Myriam Bontonou, [ ... ], Yann Le Cunff

The strip-shaped deep white matter hyperintensities may be related to neurodegeneration: A study based on diffusion tensor imaging

Xuexia Sheng, Long Xu, [ ... ], Zhigang Min

An evaluation of strategies commonly used by health advocate programs

Jingyao Huang, Diwakar Gupta

MamNet-PT: A Mamba-enhanced hybrid architecture with selective state-space modeling for uncertainty-aware brain tumor segmentation

Yu Sun, Yihang Qin

Deep convolutional GAN and hypernet-based neural architecture search for brain tumor diagnosis detection and classification

Sreerangan Swathi, Murugasamy Rajalakshmi

Yttrium-90 radioembolization for neuroendocrine liver metastases: baseline vascularity predicts cytoreduction efficacy

Anne Frisch, Johannes Kahn, [ ... ], Willie M. Lüdemann

Research on the application of LLaVA model based on QLoRA fine-tuning in medical teaching

Shiling Zhou, Fengmei Qin

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