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Bone imaging

BONE-Net: A novel hybrid deep-learning model for effective osteoporosis detection

Ishaq Muhammad, Routhu Srinivasa Rao, Bumshik Lee

Partial volume effect on kidney stones and lung nodules in CT imaging

Andreas Christe, Beat Roth, [ ... ], Grazia Maria Cereghetti

A deep learning AI model for determining the relationship between X-Ray detectors and patient positioning in chest radiography

Bo Jiang, Junjiao Hu, [ ... ], Shan Jiang

Accuracy of day-to-day patient positioning in ocular proton therapy with a dedicated beamline

Martijn Hol, Kees H. Spruijt, [ ... ], Coen R. N. Rasch

Measurement accuracy of CT systems: The importance of calibration phantoms

Jan Scherberich, Anton G. Windfelder, Jessica Steinbart, Gabriele A. Krombach

INTerest of electrophysiological and functional EXploration in the evaluation of symptomatic impact of superior semicircular canal DEHIscence syndrome (INTEX-DEHI study): Study protocol for a reliability and validity study

Quentin Legois, Fabrice Giraudet, [ ... ], Mathieu Marx

AI-driven bone mineral density prediction from chest x-rays and its association with obstructive sleep apnea

Hung-Lung Tsai, Kuan-Hung Cheng, [ ... ], Shih-Wei Chen

TomoGRAF: An X-ray physics-driven generative radiance field framework for extremely sparse view CT reconstruction

Di Xu, Yang Yang, [ ... ], Ke Sheng

A dual-plane fluoroscope to track joint kinematics during dynamic daily activities

Albert Planta, Raphael Surbeck, [ ... ], Pascal Schütz

Class-aware multi-source domain adaptation algorithm for medical image analysis using reweighted matrix matching strategy

Huiying Zhang, Yongmeng Li, [ ... ], Lumin Xing

FLPneXAINet: Federated deep learning and explainable AI for improved pneumonia prediction utilizing GAN-augmented chest X-ray data

Shuvo Biswas, Rafid Mostafiz, Mohammad Shorif Uddin, Muhammad Shahin Uddin

Algorithm for using dual energy computed tomography to determine chemical composition: A feasibility study

Dong Hyeok Choi, So Hyun Ahn, [ ... ], Jin Sung Kim

High-accuracy spinal alignment monitoring using the head angle and visual distance in computer users

Ko Hashimoto, Yusuke Sekiguchi, [ ... ], Toshimi Aizawa

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