Zobrazeno 1 - 10
of 4 718
pro vyhledávání: '"Ruud, J"'
Autor:
Merkofer, Julian P., van de Sande, Dennis M. J., Amirrajab, Sina, Nam, Kyung Min, van Sloun, Ruud J. G., Bhogal, Alex A.
Accurate quantification of metabolites in magnetic resonance spectroscopy (MRS) is challenged by low signal-to-noise ratio (SNR), overlapping metabolites, and various artifacts. Particularly, unknown and unparameterized baseline effects obscure the q
Externí odkaz:
http://arxiv.org/abs/2410.10427
Diffusion models have quickly risen in popularity for their ability to model complex distributions and perform effective posterior sampling. Unfortunately, the iterative nature of these generative models makes them computationally expensive and unsui
Externí odkaz:
http://arxiv.org/abs/2409.05399
Autor:
van Gorp, Hans, van Gilst, Merel M., Fonseca, Pedro, van Meulen, Fokke B., van Dijk, Johannes P., Overeem, Sebastiaan, van Sloun, Ruud J. G.
Gold-standard sleep scoring as performed by human technicians is based on a subset of PSG signals, namely the EEG, EOG, and EMG. The PSG, however, consists of many more signal derivations that could potentially be used to perform sleep staging, inclu
Externí odkaz:
http://arxiv.org/abs/2408.15253
Ultrasound images formed by delay-and-sum beamforming are plagued by artifacts that only clear up after compounding many transmissions. Some prior works pose imaging as an inverse problem. This approach can yield high image quality with few transmits
Externí odkaz:
http://arxiv.org/abs/2407.02285
Autor:
Prasad, Vidya, van Gorp, Hans, Humer, Christina, van Sloun, Ruud J. G., Vilanova, Anna, Pezzotti, Nicola
Diffusion models, widely used in image generation, rely on iterative refinement to generate images from noise. Understanding this data evolution is important for model development and interpretability, yet challenging due to its high-dimensional, ite
Externí odkaz:
http://arxiv.org/abs/2406.17462
Subsampling is commonly used to mitigate costs associated with data acquisition, such as time or energy requirements, motivating the development of algorithms for estimating the fully-sampled signal of interest $x$ from partially observed measurement
Externí odkaz:
http://arxiv.org/abs/2406.14388
Autor:
Hup, Roelof G., Merkofer, Julian P., Bhogal, Alex A., van Sloun, Ruud J. G., Haakma, Reinder, Vullings, Rik
Change point detection (CPD) and anomaly detection (AD) are essential techniques in various fields to identify abrupt changes or abnormal data instances. However, existing methods are often constrained to univariate data, face scalability challenges
Externí odkaz:
http://arxiv.org/abs/2405.15727
Autor:
Huijben, Iris A. M., Douze, Matthijs, Muckley, Matthew, van Sloun, Ruud J. G., Verbeek, Jakob
Vector quantization is a fundamental operation for data compression and vector search. To obtain high accuracy, multi-codebook methods represent each vector using codewords across several codebooks. Residual quantization (RQ) is one such method, whic
Externí odkaz:
http://arxiv.org/abs/2401.14732
Autor:
Valiuddin, M. M. Amaan, Viviers, Christiaan G. A., van Sloun, Ruud J. G., de With, Peter H. N., van der Sommen, Fons
Data uncertainties, such as sensor noise, occlusions or limitations in the acquisition method can introduce irreducible ambiguities in images, which result in varying, yet plausible, semantic hypotheses. In Machine Learning, this ambiguity is commonl
Externí odkaz:
http://arxiv.org/abs/2307.16694
Autor:
Stevens, Tristan S. W., Meral, Faik C., Yu, Jason, Apostolakis, Iason Z., Robert, Jean-Luc, van Sloun, Ruud J. G.
Echocardiography has been a prominent tool for the diagnosis of cardiac disease. However, these diagnoses can be heavily impeded by poor image quality. Acoustic clutter emerges due to multipath reflections imposed by layers of skin, subcutaneous fat,
Externí odkaz:
http://arxiv.org/abs/2307.11204