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Imaging techniques

Construction of a fine-grained retrieval model for archival text-image based on the integration of scene graph generation and attention mechanism

Mengyuan Zhang

A 3-dimensional Resnet model for assessment of drug efficacy in 3D cancer models using optical coherence tomography

Gavrielle R. Untracht, Jan Kaminski, [ ... ], Peter E. Andersen

Numerical simulation study on pressure response and fluid loss mechanism of coal fracture network under particle temporary plugging

Qiushuang Sun, Jian Chen, [ ... ], Guanhua Ni

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

A novel approach for automated counting of tumor cell colonies

Manuel G. Forero, Laura A. Medina, [ ... ], Alejandro Ondo-Méndez

Platelet membrane biomimetic nanoparticle-based targeted delivery system of simvastatin for the treatment of ischemic stroke

Qin Li, Rongyuan Li, [ ... ], Daming Sui

In vivo rectal dosimeter with MRI marker

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

Binary image acquisition and texture parameter calculation of asphalt pavement based on a U-Net model

Fengwei An, Haoran Jiang, [ ... ], Hao Liang

A two-step iterative framework for signal and image deblurring using G-I-Nonexpansive Mappings

Esra Yolacan

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

The relationship between fat talk and body image in Chinese female nursing students: The mediating role of self-acceptance

Fengxia Wang, Yuxiao Wang, [ ... ], Xichao Xia

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

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