11 papers · 1 filter
Diffusion Probabilistic Models for Compressive SAR Imaging
Odysseas Pappas, Perla Mayo, Andrew Austin +1
Compressed sensing Synthetic Aperture Radar (SAR) image formation, formulated as an inverse problem and solved with traditional iterative optimization methods can be very computati…
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting
Perla Mayo, Carolin M. Pirkl, Alin Achim +2
Magnetic Resonance Fingerprinting (MRF) is a time-efficient approach to quantitative MRI, enabling the mapping of multiple tissue properties from a single, accelerated scan. Howeve…
A Multimodal Approach for Fluid Overload Prediction: Integrating Lung Ultrasound and Clinical Data
Tianqi Yang, Nantheera Anantrasirichai, Oktay KarakuÅ +2
Managing fluid balance in dialysis patients is crucial, as improper management can lead to severe complications. In this paper, we propose a multimodal approach that integrates vis…
Deep Unfolded Approximate Message Passing for Quantitative Acoustic Microscopy Image Reconstruction
Odysseas Pappas, Jonathan Mamou, Adrian Basarab +2
Quantitative Acoustic Microscopy (QAM) is an imaging technology utilising high frequency ultrasound to produce quantitative two-dimensional (2D) maps of acoustical and mechanical p…
The Quest for Early Detection of Retinal Disease: 3D CycleGAN-based Translation of Optical Coherence Tomography into Confocal Microscopy
Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson +1
Optical coherence tomography (OCT) and confocal microscopy are pivotal in retinal imaging, offering distinct advantages and limitations. In vivo OCT offers rapid, non-invasive imag…
RoTIR: Rotation-Equivariant Network and Transformers for Fish Scale Image Registration
Ruixiong Wang, Alin Achim, Renata Raele-Rolfe +4
Image registration is an essential process for aligning features of interest from multiple images. With the recent development of deep learning techniques, image registration appro…