Search Results - "Kuestner, Thomas"

Generalized low‐rank nonrigid motion‐corrected reconstruction for MR fingerprinting by Cruz, Gastao, Qi, Haikun, Jaubert, Olivier, Kuestner, Thomas, Schneider, Torben, Botnar, Rene Michael, Prieto, Claudia

“…Purpose Develop a novel low‐rank motion‐corrected (LRMC) reconstruction for nonrigid motion‐corrected MR fingerprinting (MRF). Methods Generalized…”
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Real Time Landmark Detection for Within- and Cross Subject Tracking with Minimal Human Supervision by Frueh, Marcel, Schilling, Andreas, Gatidis, Sergios, Kuestner, Thomas

“…Landmark detection plays an important role for a variety of image processing and analysis tasks. Current methods rely on either supervised or semi-supervised…”
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Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging by Herrmann, Judith, Koerzdoerfer, Gregor, Nickel, Dominik, Mostapha, Mahmoud, Nadar, Mariappan, Gassenmaier, Sebastian, Kuestner, Thomas, Othman, Ahmed E.

“…Magnetic Resonance Imaging (MRI) of the musculoskeletal system is one of the most common examinations in clinical routine. The application of Deep Learning…”
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Respiratory motion-compensated high-resolution 3D whole-heart T1ρ mapping by Qi, Haikun, Bustin, Aurelien, Kuestner, Thomas, Hajhosseiny, Reza, Cruz, Gastao, Kunze, Karl, Neji, Radhouene, Botnar, René M, Prieto, Claudia

“…Cardiovascular magnetic resonance (CMR) T1ρ mapping can be used to detect ischemic or non-ischemic cardiomyopathy without the need of exogenous contrast…”
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Simultaneous multislice diffusion-weighted MRI of the liver: Analysis of different breathing schemes in comparison to standard sequences by Taron, Jana, Martirosian, Petros, Erb, Michael, Kuestner, Thomas, Schwenzer, Nina F., Schmidt, Holger, Honndorf, Valerie S., Weiβ, Jakob, Notohamiprodjo, Mike, Nikolaou, Konstantin, Schraml, Christina

“…Purpose To systematically evaluate image characteristics of simultaneous‐multislice (SMS)‐accelerated diffusion‐weighted imaging (DWI) of the liver using…”
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MedGAN: Medical image translation using GANs by Armanious, Karim, Jiang, Chenming, Fischer, Marc, Küstner, Thomas, Hepp, Tobias, Nikolaou, Konstantin, Gatidis, Sergios, Yang, Bin

“…•MedGAN as a new end-to-end framework for medical image translation.•Combination of cGAN with non-adversarial losses and a new generator…”
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Predictive uncertainty in deep learning-based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set by Küstner, Thomas, Hammernik, Kerstin, Rueckert, Daniel, Hepp, Tobias, Gatidis, Sergios

“…To estimate pixel-wise predictive uncertainty for deep learning-based MR image reconstruction and to examine the impact of domain shifts and architecture…”
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Retrospective correction of motion‐affected MR images using deep learning frameworks by Küstner, Thomas, Armanious, Karim, Yang, Jiahuan, Yang, Bin, Schick, Fritz, Gatidis, Sergios

“…Purpose Motion is 1 extrinsic source for imaging artifacts in MRI that can strongly deteriorate image quality and, thus, impair diagnostic accuracy. In…”
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End‐to‐end deep learning nonrigid motion‐corrected reconstruction for highly accelerated free‐breathing coronary MRA by Qi, Haikun, Hajhosseiny, Reza, Cruz, Gastao, Kuestner, Thomas, Kunze, Karl, Neji, Radhouene, Botnar, René, Prieto, Claudia

“…Purpose To develop an end‐to‐end deep learning technique for nonrigid motion‐corrected (MoCo) reconstruction of ninefold undersampled free‐breathing…”
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Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning by Qi, Haikun, Fuin, Niccolo, Cruz, Gastao, Pan, Jiazhen, Kuestner, Thomas, Bustin, Aurelien, Botnar, Rene M., Prieto, Claudia

“…Non-rigid motion-corrected reconstruction has been proposed to account for the complex motion of the heart in free-breathing 3D coronary magnetic resonance…”
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Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI by Pan, Jiazhen, Hamdi, Manal, Huang, Wenqi, Hammernik, Kerstin, Kuestner, Thomas, Rueckert, Daniel

“…In recent years Motion-Compensated MR reconstruction (MCMR) has emerged as a promising approach for cardiac MR (CMR) imaging reconstruction. MCMR estimates…”
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Deep Learning‐Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies by Kart, Turkay, Fischer, Marc, Küstner, Thomas, Hepp, Tobias, Bamberg, Fabian, Winzeck, Stefan, Glocker, Ben, Rueckert, Daniel, Gatidis, Sergios

“…The aims of this study were to train and evaluate deep learning models for automated segmentation of abdominal organs in whole-body magnetic resonance (MR)…”
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LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging by Kustner, Thomas, Pan, Jiazhen, Qi, Haikun, Cruz, Gastao, Gilliam, Christopher, Blu, Thierry, Yang, Bin, Gatidis, Sergios, Botnar, Rene, Prieto, Claudia

“…Physiological motion, such as cardiac and respiratory motion, during Magnetic Resonance (MR) image acquisition can cause image artifacts. Motion correction…”
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Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult population by Kerber, Bjarne, Hepp, Tobias, Küstner, Thomas, Gatidis, Sergios

“…Aging is an important risk factor for disease, leading to morphological change that can be assessed on Computed Tomography (CT) scans. We propose a deep…”
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Acceleration of Magnetic Resonance Cholangiopancreatography Using Compressed Sensing at 1.5 and 3 T: A Clinical Feasibility Study by Taron, Jana, Weiss, Jakob, Notohamiprodjo, Mike, Kuestner, Thomas, Bamberg, Fabian, Weiland, Elisabeth, Kuehn, Bernd, Martirosian, Petros

“…OBJECTIVESMagnetic resonance cholangiopancreatography (MRCP) is an established technique in routine magnetic resonance examination. By applying the compressed…”
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Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort by Frueh, Marcel, Kuestner, Thomas, Nachbar, Marcel, Thorwarth, Daniela, Schilling, Andreas, Gatidis, Sergios

“…BACKGROUND AND OBJECTIVETracking of anatomical structures in time-resolved medical image data plays an important role for various tasks such as volume change…”
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Automated reference-free detection of motion artifacts in magnetic resonance images by Küstner, Thomas, Liebgott, Annika, Mauch, Lukas, Martirosian, Petros, Bamberg, Fabian, Nikolaou, Konstantin, Yang, Bin, Schick, Fritz, Gatidis, Sergios

“…Objectives Our objectives were to provide an automated method for spatially resolved detection and quantification of motion artifacts in MR images of the head…”
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Multiparametric Oncologic Hybrid Imaging: Machine Learning Challenges and Opportunities by Küstner, Thomas, Hepp, Tobias, Seith, Ferdinand

“…Machine learning (ML) is considered an important technology for future data analysis in health care. The inherently technology-driven fields of diagnostic…”
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Single‐heartbeat cardiac cine imaging via jointly regularized nonrigid motion‐corrected reconstruction by Cruz, Gastao, Hammernik, Kerstin, Kuestner, Thomas, Velasco, Carlos, Hua, Alina, Ismail, Tevfik Fehmi, Rueckert, Daniel, Botnar, Rene Michael, Prieto, Claudia

“…The aim of the current study was to develop a novel approach for 2D breath‐hold cardiac cine imaging from a single heartbeat, by combining cardiac…”
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The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction by Küstner, Thomas, Qin, Chen, Sun, Changyu, Ning, Lipeng, Scannell, Cian M.

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