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EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medic ...
Neuromorphic computing has emerged as a promising energy-efficient alternative to traditional artificial intelligence, predominantly utilizing spiking neural networks (SNNs) implemented on neuromorphic hardware. Significant adva ... Read More >
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Unique MS Lesion Identification from MRI
Unique identification of multiple sclerosis (MS) white matter lesions (WMLs) is important to help characterize MS progression. WMLs are routinely identified from magnetic resonance images (MRIs) but the resultant total lesion lo ... Read More >
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Quantum Neural Network for Accelerated Magnetic Resonance Imaging
Magnetic resonance image reconstruction starting from undersampled k-space data requires the recovery of many potential nonlinear features, which is very difficult for algorithms to recover these features. In recent years, the d ... Read More >
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Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment
Classifier-Free Guidance (CFG) is a critical technique for enhancing the sample quality of visual generative models. However, in autoregressive (AR) multi-modal generation, CFG introduces design inconsistencies between language ... Read More >
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A foundation model for generalizable disease diagnosis in chest X-ray images
Medical artificial intelligence (AI) is revolutionizing the interpretation of chest X-ray (CXR) images by providing robust tools for disease diagnosis. However, the effectiveness of these AI models is often limited by their reli ... Read More >
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FlowMRI-Net: A generalizable self-supervised physics-driven 4D Flow MRI reconstr ...
In this work, we propose FlowMRI-Net, a novel deep learning-based framework for fast reconstruction of accelerated 4D flow magnetic resonance imaging (MRI) using physics-driven unrolled optimization and a complexvalued convoluti ... Read More >
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Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance
Reconstructing dynamic MRI image sequences from undersampled accelerated measurements is crucial for faster and higher spatiotemporal resolution real-time imaging of cardiac motion, free breathing motion and many other applicati ... Read More >
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Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opport ...
The advent of AI has influenced many aspects of human life, from self-driving cars and intelligent chatbots to text-based image and video generation models capable of creating realistic images and videos based on user prompts (t ... Read More >
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CAS-GAN for Contrast-free Angiography Synthesis
Iodinated contrast agents are widely utilized in numerous interventional procedures, yet posing substantial health risks to patients. This paper presents CAS-GAN, a novel GAN framework that serves as a ``virtual contrast agent" ... Read More >
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Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual ...
Recently, deep generative models have greatly advanced the progress of face video coding towards promising rate-distortion performance and diverse application functionalities. Beyond traditional hybrid video coding paradigms, Ge ... Read More >