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http://dx.doi.org/10.1016/j.tics.2024.10.015 | DOI Listing |
Biomed Phys Eng Express
September 2025
Siemens Healthineers AG, 810 Innovation Dr, Knoxville, Tennessee, 37932-2562, UNITED STATES.
Achieving high-quality PET imaging while minimizing scan time and patient radiation dose presents significant challenges, particularly in the absence of CT-based attenuation maps. Joint reconstruction algorithms, such as MLAA and MLACF, partially address these challenges but often result in noisy and less reliable images. Denoising these images is critical for enhancing diagnostic accuracy.
View Article and Find Full Text PDFNeural Netw
September 2025
School of Computer Science, South China Normal University, Guangzhou, 510631, Guangdong, China; School of Artificial Intelligence, South China Normal University, Foshan, 528225, Guangdong, China. Electronic address:
Data-Free Knowledge Distillation (DFKD) have achieved significant breakthroughs, enabling the effective transfer of knowledge from teacher neural networks to student neural networks without reliance on original data. However, a significant challenge faced by existing methods that attempt to generate samples from random noise is that the noise lacks meaningful information, such as class-specific semantic information. Consequently, the absence of meaningful information makes it difficult for the generator to map this noise to the ground-truth data distribution, resulting in the generation of low-quality training samples.
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
September 2025
Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India.
Parkinson's disease (PD) is a neurodegenerative condition that impairs motor functions. Accurate and early diagnosis is essential for enhancing well-being and ensuring effective treatment. This study proposes a deep learning-based approach for PD detection using EEG signals.
View Article and Find Full Text PDFMed Phys
September 2025
Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Background: Integrated mode proton imaging is a clinically accessible method for proton radiographs (pRads), but its spatial resolution is limited by multiple Coulomb scattering (MCS). As the amplitude of MCS decreases with increasing particle charge, heavier ions such as carbon ions produce radiographs with better resolution (cRads). Improving image resolution of pRads may thus be achieved by transferring individual proton pencil beam images to the equivalent carbon ion data using a trained image translation network.
View Article and Find Full Text PDFJ Vis Exp
August 2025
Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India.
Deepfakes pose critical threats to digital media integrity and societal trust. This paper presents a hybrid deepfake detection framework combining Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) to address challenges in scalability, generalizability, and adversarial robustness. The framework integrates adversarial training, a temporal decay analysis model, and multimodal detection across audio, video, and text domains.
View Article and Find Full Text PDF