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RetinaRegNet: A zero-shot approach for retinal image registration.

Comput Biol Med

January 2025

Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32610, United States; Department of Medicine, University of Florida, Gainesville, FL, 32610, United States; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, 32610, United States; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, 32610, United States. Electronic address:

Retinal image registration is essential for monitoring eye diseases and planning treatments, yet it remains challenging due to large deformations, minimal overlap, and varying image quality. To address these challenges, we propose RetinaRegNet, a multi-stage image registration model with zero-shot generalizability across multiple retinal imaging modalities. RetinaRegNet begins by extracting image features using a pretrained latent diffusion model.

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Background: Neurological dysfunction is a common complication of traumatic brain injury (TBI), and early treatments are critical for the long-term prognosis. This study aimed to investigate whether hypidone hydrochloride (YL-0919) improves neurological function impairment in mice with TBI.

Methods: TBI was induced in adult male C57BL/6J mice using the controlled cortical impact (CCI) method.

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PADS-Net: GAN-based radiomics using multi-task network of denoising and segmentation for ultrasonic diagnosis of Parkinson disease.

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January 2025

The SMART (Smart Medicine and AI-based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, China. Electronic address:

Parkinson disease (PD) is a prevalent neurodegenerative disorder, and its accurate diagnosis is crucial for timely intervention. We propose the PArkinson disease Denoising and Segmentation Network (PADS-Net), to simultaneously denoise and segment transcranial ultrasound images of midbrain for accurate PD diagnosis. The PADS-Net is built upon generative adversarial networks and incorporates a multi-task deep learning framework aimed at optimizing the tasks of denoising and segmentation for ultrasound images.

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Evaluating cardiac performance in beagle dogs: Transesophageal echocardiography and myocardial work assessment.

Heliyon

January 2025

Department of Ultrasound Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, People's Republic of China.

Objectives: This study aimed to establish standard transesophageal echocardiographic (TEE) measurements of left ventricular (LV) morphology, function, and myocardial work parameters in healthy Beagle dogs using pressure-strain loops (PSL). Additionally, it sought to standardize optimal TEE imaging techniques and explore the potiential application of myocardial work analyis in veterinary medicine.

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Understanding the relationship between silicone implants, tumor antigens, and breast cancer risk: An immunological study in rats.

Int Immunopharmacol

January 2025

Department of Plastic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, PR China; National Key Clinical Specialty (Wound Healing), The First Affiliate d Hospital Of Wenzhou Medical University, PR China. Electronic address:

This study aimed to investigate the effects of silicone implants on the incidence of breast cancer in rats, as well as their impact on immune surveillance mechanisms. Female SD rats were divided into three groups: a Placebo Surgery Group (PSG), a Thoracic Implant Group (TIG), and a Back Implant Group (BIG). Following the corresponding surgical procedures, we measured Secretoglobin Family 2A, Member 2(SCGB2A2) and Mucin-1 (MUC1) antigen levels using ELISA, and statistical analyses were conducted to evaluate immune responses.

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