Transcervical resection of myoma (TCRM): Part II by Peng-Hui Wang, Szu-Ting Yang, Wen-Hsun Chang, Hung-Hsien Liu, Wen-Ling Lee

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A pilot study comparing three-dimensional models of tumor histopathology and magnetic resonance imaging by Anne Koivuholma, Heli J. Sistonen, Katri Aro, Antti Mäkitie, Jaana Hagström, Timo Atula

“…This has become an everyday tool especially in medical imaging. However, modeling soft tissue histopathology in 3D is in its early stages, thus making 3D comparison between radiology and histopathology difficult. …”
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Out-of-distribution generalization for segmentation of lymph node metastasis in breast cancer by Yiannis Varnava, Kiran Jakate, Richard Garnett, Dimitrios Androutsos, Pascal N. Tyrrell, April Khademi

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Advances in Biomedical Missing Data Imputation: A Survey by Miriam Barrabes, Maria Perera, Victor Novelle Moriano, Xavier Giro-I-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis

“…This survey paper provides a comprehensive overview of the extensive literature on missing data imputation techniques, with a specific focus on applications in genomics, single-cell RNA sequencing, health records, and medical imaging. We outline the fundamental principles underlying each imputation technique and present a detailed analysis of their advantages and disadvantages, categorized by missing data patterns. …”
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Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification by Masoud Muhammed Hassan, Halbast Rashid Ismail

“…Deep Learning (DL) has significantly contributed to the field of medical imaging in recent years, leading to advancements in disease diagnosis and treatment. …”
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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

“…In the last decade, medical imaging techniques show its efficiency in helping radiologists to detect and diagnose the diseases. …”
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Metastatic Malignant Ectomesenchymoma Initially Presenting as a Pelvic Mass: Report of a Case and Review of Literature by A. Nael, P. Siaghani, W. W. Wu, K. Nael, Lisa Shane, S. G. Romansky

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Multiomics Integrated Analysis Identifies SLC24A2 as a Potential Link between Type 2 Diabetes and Cancer by Qin Bian, Haijun Li, Xiaoyi Wang, Tingting Liang, Kai Zhang

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Giant Hydatid Cyst Originating From Psoas Muscle Extending to the Iliac Bone: A Case Report by Mohammad Hadi Niakan, Fatemeh Mirparsa, Hamid Zaferani Arani, Sedighe Hooshmandi, Elham Peyravi

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A Combined Computational and Experimental Study on Nanoparticle Transport and Partitioning in the Human Trachea and Upper Bronchial Airways by Jiawei Ma, Wei-Chung Su, Yi Chen, Yidan Shang, Jingliang Dong, Jiyuan Tu, Lin Tian

“…With rapid advances in medical imaging and computational capacities, sophisticated human tracheobronchial trees that include the 6th, 7th or 15th generation have been increasingly described in the literature. …”
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Analytical simulations for rate type nanomaterial stretching flow with dual convection by Manzoor Ahmad, Sami Ullah Khan, Syeda Quratulain, Adnan, M. Waqas, Hakim AL Garalleh, Nurnadiah Zamri, Dilsora Abduvalieva, Manish Gupta

“…Ongoing continuous research in nanofluid suggested different applications of nanomaterials in catalysis, aerospace engineering, oil industry, various optical devices, medical imaging etc. The objective for exploring current investigation is to disclose the thermal impact of Oldroyd-B nanofluid comprising the buoyancy driven flow. …”
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Radiosensitizing capacity of fenofibrate in glioblastoma cells depends on lipid metabolism by Bayan Alkotub, Lisa Bauer, Ali Bashiri Dezfouli, Khouloud Hachani, Vasilis Ntziachristos, Gabriele Multhoff, Morteza Hasanzadeh Kafshgari

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IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution by Athanasios Tragakis, Chaitanya Kaul, Kevin J. Mitchell, Hang Dai, Roderick Murray-Smith, Daniele Faccio

“…Accurate depth estimation is crucial for many fields, including robotics, navigation, and medical imaging. However, conventional depth sensors often produce low-resolution (LR) depth maps, making detailed scene perception challenging. …”
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Review Analysis of the Association between the Prevalence of Activated Brown Adipose Tissue and Outdoor Temperature by Yung-Cheng Huang, Chien-Chin Hsu, Pei-Wen Wang, Yen-Hsiang Chang, Tai-Been Chen, Bi-Fang Lee, Nan-Tsing Chiu

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Comprehensive study for radiation shielding features for Bi2O3–B2O3–ZnO composite using computational radioanalytical Phy-X/PSD, MCNP5, and SRIM software by Y. S. Alajerami, M. H. A. Mhareb, M. I. Sayyed, M. Kh. Hamad, F. Kodeh, M. Rashad, M. Mitwalli

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The role of intrapartum ultrasound combined with free position delivery in the management of abnormal fetal positions during labor by Shanshan Sun, Wenwen Liang, Fen Sun, Meili Yu, Liting Wu, Ting Xu, Cui Zhang, Wenfang Zhuang, Jia Li

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Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification by Ahmed Alsayat, Alshimaa Abdelraof Mahmoud, Saad Alanazi, Ayman Mohamed Mostafa, Nasser Alshammari, Majed Abdullah Alrowaily, Hosameldeen Shabana, Mohamed Ezz

“…The outcomes of this research highlight the synergistic benefit of ensembles in DL applications for medical imaging and suggest a promising approach for the early detection and diagnosis of cardiac diseases, potentially improving clinical outcomes and patient care.…”
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Feasibility Study of an Alcohol-Based Liquid Scintillation Detector and Its Application by Byoung Chan Kim, Ji Young Choi, Kyung Kwang Joo, Seon Yeong Park, Ye Sung Song, Hee Jin Woo

“…In the near future, the new alcohol-based liquid scintillator could be used for particle detector or medical imaging applications.…”
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SLC7A11 is a potential therapeutic target and prognostic biomarker correlated with immune cell infiltration in cervical cancer by Mutangala Muloye Guy, Tingting Bian, Longyun Sun, Yiping Hao, Xinlin Jiao, Wenjing Zhang, Teng Zhang, Baoxia Cui

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Application of Artificial Intelligence in Radiological Image Analysis for Pulmonary Disease Diagnosis: A Review of Current Methods and Challenges by Karolina Zalewa, Joanna Olszak, Wojciech Kapłan, Dominika Orłowska, Lidia Bartoszek, Marta Kaus, Natalia Klepacz

“…Results AI, driven by ML and DL, has significantly enhanced medical imaging analysis, automating tasks that require expert interpretation. …”
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