Three-dimensional ultrasound fusion imaging in precise needle placement for thermal ablation of hepatocellular carcinoma by Jiaming Liu, Yuqing Guo, Yueting Sun, Ming Liu, Xiaoer Zhang, Ruiying Zheng, Longfei Cong, Baoxian Liu, Xiaoyan Xie, Guangliang Huang

“…Plan of needle placement was made through a predetermined simulated ablation zone to ensure a 5 mm ablative margin with the coverage rate toward tumor and ablative margin. …”
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Solid waste management beliefs and practices in rural households towards sustainable development and pro-environmental citizenship by M.R. Limon, J.P.C. Vallente, N.C.T. Corales

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MRI to digital medicine diagnosis: integrating deep learning into clinical decision-making for lumbar degenerative diseases by Baoyi Ke, Wenyu Ma, Junbo Xuan, Junbo Xuan, Yinghao Liang, Liguang Zhou, Wenyong Jiang, Jing Lin, Guixiang Li

“…IntroductionTo develop an intelligent system based on artificial intelligence (AI) deep learning algorithms using deep learning tools, aiming to assist in the diagnosis of lumbar degenerative diseases by identifying lumbar spine magnetic resonance images (MRI) and improve the clinical efficiency of physicians.MethodsThe PP-YOLOv2 algorithm, a deep learning technique, was used to design a deep learning program capable of automatically identifying the spinal diseases (lumbar disc herniation or lumbar spondylolisthesis) based on the lumbar spine MR images. …”
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Inflammatory and immunological markers and risk for mortality and cognitive impairment in a longitudinal study of older adults from the longevous project by M.R. Caldeira, C.M. Almada-Filho, M.C. Brunialti, R. Salomão, M.S. Cendoroglo

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The interaction of metallic ions onto activated carbon surface using computational chemistry software by AL Paredes-Doig, A Pinedo-Flores, J Aylas-Orejón, D Obregón-Valencia, MR Sun Kou

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Photocatalytic Decomposition of Methyl Red Dye by Using Nanosized Zinc Oxide Deposited on Glass Beads in Various pH and Various Atmosphere by H. R. Ebrahimi, M. Modrek

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Análisis de modelos algorítmicos de aprendizaje automático para la predicción del estado vital a los seis meses tras fractura de cadera en pacientes mayores de 74 años by I. Calvo Lorenzo, I. Uriarte Llano, M.R. Mateo Citores, Y. Rojo Maza, U. Agirregoitia Enzunza

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[Translated article] Analysis of machine learning algorithmic models for the prediction of vital status at six months after hip fracture in patients older than 74 years by I. Calvo Lorenzo, I. Uriarte Llano, M.R. Mateo Citores, Y. Rojo Maza, U. Agirregoitia Enzunza

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A review on effect of nanoparticle addition on thermal behavior of natural fiber–reinforced composites by D. Balaji, P. Sathish Kumar, V. Bhuvaneshwari, L. Rajeshkumar, Manoj Kumar Singh, M.R. Sanjay, Suchart Siengchin

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Aqueous extracts of Moringa oleifera and Cinnamomum cassia as promising sources of antibiofilm compounds against mucoid and small colony variants of Pseudomonas aeruginosa and Stap... by Eduarda Silva, Pedro Ferreira-Santos, José A. Teixeira, Maria Olivia Pereira, Cristina M.R. Rocha, Ana Margarida Sousa

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Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects by Frank G. Zollner, Marek Kocinski, Laura Hansen, Alena-Kathrin Golla, Amira Serifovic Trbalic, Arvid Lundervold, Andrzej Materka, Peter Rogelj

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An ecosystem approach to the evaluation and impact analysis of heterogeneous preventive and/or early interventions projects for veterans and first responders in seven countries by S. Lukersmith, L. Salvador-Carulla, C. Woods, T. Niyonsenga, M.R. Gutierrez-Colosia, I. Mohanty, C.R. Garcia-Alonso, D. Diaz-Milanes, J.A. Salinas-Perez, R. Davey, A. Aryani

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Late gadolinium enhancement cardiovascular magnetic resonance with generative artificial intelligence by Omer Burak Demirel, Fahime Ghanbari, Christopher W. Hoeger, Connie W. Tsao, Adele Carty, Long H. Ngo, Patrick Pierce, Scott Johnson, Kathryn Arcand, Jordan Street, Jennifer Rodriguez, Tess E. Wallace, Kelvin Chow, Warren J. Manning, Reza Nezafat

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A survey of MRI-based brain tissue segmentation using deep learning by Liang Wu, Shirui Wang, Jun Liu, Lixia Hou, Na Li, Fei Su, Xi Yang, Weizhao Lu, Jianfeng Qiu, Ming Zhang, Li Song

“…This survey examines both deep learning and MRI, providing an overview of the latest advances in fetal, infant, and adult brain tissue segmentation techniques based on deep learning. …”
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Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

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Deep-Learning-Based Reconstruction of Single-Breath-Hold 3 mm HASTE Improves Abdominal Image Quality and Reduces Acquisition Time: A Quantitative Analysis by Felix Kubicka, Qinxuan Tan, Tom Meyer, Dominik Nickel, Elisabeth Weiland, Moritz Wagner, Stephan Rodrigo Marticorena Garcia

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Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction by Yimeng Kang, Wenjing Li, Qingqing Lv, Qiuying Tao, Jieping Sun, Jinghan Dang, Xiaoyu Niu, Zijun Liu, Shujian Li, Zanxia Zhang, Kaiyu Wang, Baohong Wen, Jingliang Cheng, Yong Zhang, Weijian Wang

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A Lightweight Convolutional Neural Network for Classification of Brain Tumors Using Magnetic Resonance Imaging by Mahir Kaya, Alper Özatılgan

“…Therefore, early diagnosis and prognosis are very important. Magnetic Resonance (MR) images are used for the detection and treatment of brain tumor types. …”
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Automated diagnosis and grading of lumbar intervertebral disc degeneration based on a modified YOLO framework by Aobo Wang, Tianyi Wang, Xingyu Liu, Xingyu Liu, Xingyu Liu, Ning Fan, Shuo Yuan, Peng Du, Congying Zou, Ruiyuan Chen, Yu Xi, Zhao Gu, Hongxing Song, Qi Fei, Yiling Zhang, Yiling Zhang, Lei Zang

“…BackgroundThe high prevalence of low back pain has led to an increasing demand for the analysis of lumbar magnetic resonance (MR) images. This study aimed to develop and evaluate a deep-learning-assisted automated system for diagnosing and grading lumbar intervertebral disc degeneration based on lumbar T2-weighted sagittal and axial MR images.MethodsThis study included a total of 472 patients who underwent lumbar MR scans between January 2021 and November 2023, with 420 in the internal dataset and 52 in the external dataset. …”
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Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP by Florian Birk, Lucas Mahler, Julius Steiglechner, Qi Wang, Klaus Scheffler, Rahel Heule

“…In this study, feed-forward deep neural network (DNN)- and iterative fitting-based frameworks are compared for multi-parametric (MP) relaxometry based on phase-cycled balanced steady-state free precession (pc-bSSFP) imaging. …”
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