Zobrazeno 1 - 10
of 403
pro vyhledávání: '"Mühlau, Mark"'
Autor:
Prabhakar, Chinmay, Li, Hongwei Bran, Paetzold, Johannes C., Loehr, Timo, Niu, Chen, Mühlau, Mark, Rueckert, Daniel, Wiestler, Benedikt, Menze, Bjoern
Multiple Sclerosis (MS) is a severe neurological disease characterized by inflammatory lesions in the central nervous system. Hence, predicting inflammatory disease activity is crucial for disease assessment and treatment. However, MS lesions can occ
Externí odkaz:
http://arxiv.org/abs/2308.16863
Recent years have seen a growing interest in methods for predicting an unknown variable of interest, such as a subject's diagnosis, from medical images depicting its anatomical-functional effects. Methods based on discriminative modeling excel at mak
Externí odkaz:
http://arxiv.org/abs/2306.11107
Autor:
McGinnis, Julian, Shit, Suprosanna, Li, Hongwei Bran, Sideri-Lampretsa, Vasiliki, Graf, Robert, Dannecker, Maik, Pan, Jiazhen, Ansó, Nil Stolt, Mühlau, Mark, Kirschke, Jan S., Rueckert, Daniel, Wiestler, Benedikt
Clinical routine and retrospective cohorts commonly include multi-parametric Magnetic Resonance Imaging; however, they are mostly acquired in different anisotropic 2D views due to signal-to-noise-ratio and scan-time constraints. Thus acquired views s
Externí odkaz:
http://arxiv.org/abs/2303.15065
Autor:
Cerri, Stefano, Greve, Douglas N., Hoopes, Andrew, Lundell, Henrik, Siebner, Hartwig R., Mühlau, Mark, Van Leemput, Koen
In this paper we describe and validate a longitudinal method for whole-brain segmentation of longitudinal MRI scans. It builds upon an existing whole-brain segmentation method that can handle multi-contrast data and robustly analyze images with white
Externí odkaz:
http://arxiv.org/abs/2207.04534
Autor:
Ancău, Mihai, Tanti, Goutam Kumar, Butenschoen, Vicki Marie, Gempt, Jens, Yakushev, Igor, Nekolla, Stephan, Mühlau, Mark, Scheunemann, Christian, Heininger, Sebastian, Löwe, Benjamin, Löwe, Erik, Baer, Silke, Fischer, Johannes, Reiser, Judith, Ayachit, Sai S., Liesche-Starnecker, Friederike, Schlegel, Jürgen, Matiasek, Kaspar, Schifferer, Martina, Kirschke, Jan S., Misgeld, Thomas, Lueth, Tim, Hemmer, Bernhard
Publikováno v:
In eBioMedicine February 2024 100
Autor:
Wiltgen, Tun, McGinnis, Julian, Schlaeger, Sarah, Kofler, Florian, Voon, CuiCi, Berthele, Achim, Bischl, Daria, Grundl, Lioba, Will, Nikolaus, Metz, Marie, Schinz, David, Sepp, Dominik, Prucker, Philipp, Schmitz-Koep, Benita, Zimmer, Claus, Menze, Bjoern, Rueckert, Daniel, Hemmer, Bernhard, Kirschke, Jan, Mühlau, Mark, Wiestler, Benedikt
Publikováno v:
In NeuroImage: Clinical 2024 42
Publikováno v:
In NeuroImage: Clinical 2024 42
In this paper we propose a novel method for the segmentation of longitudinal brain MRI scans of patients suffering from Multiple Sclerosis. The method builds upon an existing cross-sectional method for simultaneous whole-brain and lesion segmentation
Externí odkaz:
http://arxiv.org/abs/2008.05117
Autor:
Cerri, Stefano, Puonti, Oula, Meier, Dominik S., Wuerfel, Jens, Mühlau, Mark, Siebner, Hartwig R., Van Leemput, Koen
Here we present a method for the simultaneous segmentation of white matter lesions and normal-appearing neuroanatomical structures from multi-contrast brain MRI scans of multiple sclerosis patients. The method integrates a novel model for white matte
Externí odkaz:
http://arxiv.org/abs/2005.05135
Autor:
Cerri, Stefano, Greve, Douglas N., Hoopes, Andrew, Lundell, Henrik, Siebner, Hartwig R., Mühlau, Mark, Van Leemput, Koen
Publikováno v:
In NeuroImage: Clinical 2023 38