Mihály Murányi^1,*, András Domoszlai¹, Attila Csaba Nagy², Tibor Flaskó¹

Canadian Journal of Urology, Vol.32, No.2, pp. 119-127, 2025, DOI:10.32604/cju.2025.063821 - 30 April 2025

Abstract Introduction: We aimed to compare the oncological and functional outcomes of glansectomy and split-thickness skin graft reconstruction (GR) with those of glansectomy alone (GA) and penile amputation (PA). Materials and Methods: This retrospective study included patients with penile carcinoma or penile intraepithelial neoplasia diagnosed between 2017 and 2022. Surgical outcomes, complications, and oncological outcomes were assessed through a chart review, and functional outcomes were assessed using a questionnaire administered to patients who underwent GR (group A), GA (group B), or PA (group C). Results: Six, eight, and seven patients were enrolled in groups A, B, and… More >

Jianxin Feng^1,2,*, Xiaoyao Liu^1,2

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2087-2107, 2025, DOI:10.32604/cmc.2025.060252 - 16 April 2025

Abstract As a form of discrete representation learning, Vector Quantized Variational Autoencoders (VQ-VAE) have increasingly been applied to generative and multimodal tasks due to their ease of embedding and representative capacity. However, existing VQ-VAEs often perform quantization in the spatial domain, ignoring global structural information and potentially suffering from codebook collapse and information coupling issues. This paper proposes a frequency quantized variational autoencoder (FQ-VAE) to address these issues. The proposed method transforms image features into linear combinations in the frequency domain using a 2D fast Fourier transform (2D-FFT) and performs adaptive quantization on these frequency components… More >

Kuo Li^1,*, Aimin Wang¹, Limin Wang¹, Yuetan Zhao¹, Xinyu Zhu²

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 617-637, 2025, DOI:10.32604/cmes.2025.061242 - 11 April 2025

Abstract A Bayesian network reconstruction method based on norm minimization is proposed to address the sparsity and iterative divergence issues in network reconstruction caused by noise and missing values. This method achieves precise adjustment of the network structure by constructing a preliminary random network model and introducing small-world network characteristics and combines L1 norm minimization regularization techniques to control model complexity and optimize the inference process of variable dependencies. In the experiment of game network reconstruction, when the success rate of the L1 norm minimization model’s existence connection reconstruction reaches 100%, the minimum data required is… More >

Bonan Yu^1,2, Taiping Mo^1,3, Qi Ma¹, Qiumei Li¹, Peng Sun^1,3,*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1057-1078, 2025, DOI:10.32604/cmc.2025.059946 - 26 March 2025

Abstract Super-resolution (SR) reconstruction addresses the challenge of enhancing image resolution, which is critical in domains such as medical imaging, remote sensing, and computational photography. High-quality image reconstruction is essential for enhancing visual details and improving the accuracy of subsequent tasks. Traditional methods, including interpolation techniques and basic CNNs, often fail to recover fine textures and detailed structures, particularly in complex or high-frequency regions. In this paper, we present Deep Supervised Swin Transformer U-Net (DSSTU-Net), a novel architecture designed to improve image SR by integrating Residual Swin Transformer Blocks (RSTB) and Deep Supervision (DS) mechanisms into… More >

Gabrielle Yankelevich^1,*, Jessica Swaim¹, Ian Coate¹, Margaret Stroud¹, William Stallings¹, Virgilio George², M. Lance Tavana³, Harry Clarke¹

Canadian Journal of Urology, Vol.32, No.1, pp. 37-42, 2025, DOI:10.32604/cju.2025.064684 - 20 March 2025

Abstract Objectives: To assess outcomes of rectourethral fistula repair utilizing a gracilis flap in a largely radiated cohort. Patients and Methods: We performed a retrospective review of all gracilis interposition flap reconstruction surgeries performed for RUF at a university hospital in South Carolina between January 2010 and June 2023. All repairs utilized a multidisciplinary approach with urology, colorectal, and plastic surgery teams. Post-operatively, patients were maximally drained with foley catheter and suprapubic tube (SPT). Initial voiding cystourethrogram (VCUG) was performed at 4 weeks post-repair. If there was a persistent leak, catheter drainage was maintained for 4 additional… More >

Jing Ling¹, Naijimuding Abudurexiti¹, Jiaxiong Wu¹, Runzhang Liang¹, Zirui Peng¹, Yuting Huang², Haiyun Yuan^1,3,4,*, Shusheng Wen^1,3,4,*

Congenital Heart Disease, Vol.20, No.1, pp. 13-25, 2025, DOI:10.32604/chd.2025.063437 - 18 March 2025

Abstract Background: Although Cone reconstruction has been shown to improve biventricular function over time, postoperative right ventricular dysfunction (RVD) is frequently observed, signiffcantly affecting reoperation and long-term prognosis. This study aims to identify the predictors for postoperative RVD. Methods: This retrospective cohort study included 51 patients with Ebstein’s anomaly who underwent the Cone reconstruction. RVD was deffned as right ventricular fractional area change (RV-FAC) less than 35% and tricuspid annular plane systolic excursion (TAPSE) less than 17 mm through pre-discharge echocardiography. Univariate and multivariate analyses were used to analyze the pre-operative predictors. Results: The median age at surgery… More >

Thinh D. Le, Duong Q. Nguyen, Phuong D. Nguyen, H. Nguyen-Xuan^*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1459-1479, 2025, DOI:10.32604/cmes.2024.056753 - 27 January 2025

Abstract Research on reconstructing imperfect faces is a challenging task. In this study, we explore a data-driven approach using a pre-trained MICA (MetrIC fAce) model combined with 3D printing to address this challenge. We propose a training strategy that utilizes the pre-trained MICA model and self-supervised learning techniques to improve accuracy and reduce the time needed for 3D facial structure reconstruction. Our results demonstrate high accuracy, evaluated by the geometric loss function and various statistical measures. To showcase the effectiveness of the approach, we used 3D printing to create a model that covers facial wounds. The More >

Rana Mohamed^1,2,*, Mostafa Elgendy¹, Mohamed Taha¹

Computer Systems Science and Engineering, Vol.49, pp. 213-238, 2025, DOI:10.32604/csse.2024.059491 - 10 January 2025

Abstract Globally, liver cancer ranks as the sixth most frequent malignancy cancer. The importance of early detection is undeniable, as liver cancer is the fifth most common disease in men and the ninth most common cancer in women. Recent advances in imaging, biomarker discovery, and genetic profiling have greatly enhanced the ability to diagnose liver cancer. Early identification is vital since liver cancer is often asymptomatic, making diagnosis difficult. Imaging techniques such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT), and ultrasonography can be used to identify liver cancer once a sample of liver tissue is… More >

Shuqiao Liu¹, Zhao Zhang^2,*, Hongyan Zhou¹, Xuebo Chen¹

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 929-948, 2025, DOI:10.32604/cmc.2024.057319 - 03 January 2025

Abstract This study examines the effectiveness of artificial intelligence techniques in generating high-quality environmental data for species introductory site selection systems. Combining Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis data with Variation Autoencoder (VAE) and Generative Adversarial Network (GAN) the network framework model (SAE-GAN), is proposed for environmental data reconstruction. The model combines two popular generative models, GAN and VAE, to generate features conditional on categorical data embedding after SWOT Analysis. The model is capable of generating features that resemble real feature distributions and adding sample factors to more accurately track individual sample data. Reconstructed data is… More >

Zhan Wu, Mystie Chen, Ryan Mori

Canadian Journal of Urology, Vol.31, No.2, pp. 11858-11860, 2024

Abstract Urethral cancer after urethral reconstruction is an under-recognized, uncommon disease associated with significant morbidity and mortality. The survival rates of patients with carcinoma of the bulbar urethra are as low as 20%-30%. Stricture recurrence and unrecognized malignant changes present prior to reconstruction are major risk factors for urethral cancer. Skin substitution urethroplasty is subjected to higher rates of recurrence, which lends to the potential for carcinogenesis. We present a case of a 59-year-old male who underwent multi-stage skin substitution urethroplasty who developed urethral carcinoma 20 years later. More >