58 citations · 184 across the 11 of their papers we have counts for
11 papers
DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise Cleaning
Qi Wang, Lucas Mahler, Julius Steiglechner +3
MRI super-resolution (SR) and denoising tasks are fundamental challenges in the field of deep learning, which have traditionally been treated as distinct tasks with separate paired…
Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification
Lucas Mahler, Qi Wang, Julius Steiglechner +4
Autism spectrum disorder (ASD) is a prevalent psychiatric condition characterized by atypical cognitive, emotional, and social patterns. Timely and accurate diagnosis is crucial fo…
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging
Qi Wang, Lucas Mahler, Julius Steiglechner +3
Learning based single image super resolution (SISR) task is well investigated in 2D images. However, SISR for 3D Magnetics Resonance Images (MRI) is more challenging compared to 2D…
LIGHT-SABRE hyperpolarizes 1-^{13}C-pyruvate continuously, without magnetic field cycling
Andrey N. Pravdivtsev, Kai Buckenmaier, Nicolas Kempf +7
Nuclear spin hyperpolarization enables real-time observation of metabolism and intermolecular interactions in vivo. 1-13C-Pyruvate is the leading hyperpolarized tracer currently un…
Prediction of motion induced magnetic fields for human brain MRI at 3T
Jiazheng Zhou, Gisela E Hagberg, Ali Aghaeifar +3
Objective Maps of B0 field inhomogeneities are often used to improve MRI image quality, even in a retrospective fashion. These field inhomogeneities depend on the exact head positi…
High-resolution neural network-driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced SSFP frequency profile
Florian Birk, Felix Glang, Alexander Loktyushin +4
We suggest to utilize the rich information content about microstructural tissue properties entangled in asymmetric balanced steady-state free precession (bSSFP) profiles to estimat…
Coherent evolution of signal amplification by reversible exchange in two alternating fields (alt-SABRE)
Andrey N. Pravdivtsev, Nicolas Kempf, Markus Plaumann +4
Parahydrogen (pH2) is a convenient and cost efficient source for magnetic resonance signal enhancement. Transient interaction of pH2 with a metal organic complex in a signal amplif…
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
Martin Dyrba, Moritz Hanzig, Slawek Altenstein +37
Background: Although convolutional neural networks (CNN) achieve high diagnostic accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance imaging (MRI)…
MRzero -- Fully automated discovery of MRI sequences using supervised learning
Alexander Loktyushin, Kai Herz, Nam Dang +7
Purpose: A supervised learning framework is proposed to automatically generate MR sequences and corresponding reconstruction based on the target contrast of interest. Combined with…
Simultaneous observation of high order multiple quantum coherences at ultralow magnetic fields
K. Buckenmaier, K. Scheffler, M. Plaumann +8
We present a method for the simultaneous observation of heteronuclear multi-quantum coherences (up to the 3rd order), which give an additional degree of freedom for ultralow magnet…
Task-related edge density (TED) - a new method for revealing large-scale network formation in fMRI data of the human brain
Gabriele Lohmann, Johannes Stelzer, Verena Zuber +4
The formation of transient networks in response to external stimuli or as a reflection of internal cognitive processes is a hallmark of human brain function. However, its identific…