Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Schirmer, Markus D."'
Brain parenchymal fraction (BPF) has been used as a surrogate measure of global brain atrophy, and as a biomarker of brain reserve in studies evaluating clinical outcomes after brain injury. Total brain volume at the time of injury has recently been
Externí odkaz:
http://arxiv.org/abs/2403.12788
Autor:
Hong, Sungmin, Bonkhoff, Anna K., Hoopes, Andrew, Bretzner, Martin, Schirmer, Markus D., Giese, Anne-Katrin, Dalca, Adrian V., Golland, Polina, Rost, Natalia S.
Despite the superior performance of Deep Learning (DL) on numerous segmentation tasks, the DL-based approaches are notoriously overconfident about their prediction with highly polarized label probability. This is often not desirable for many applicat
Externí odkaz:
http://arxiv.org/abs/2112.06693
Autor:
Schirmer, Markus D., Donahue, Kathleen L., Nardin, Marco J., Dalca, Adrian V., Giese, Anne-Katrin, Etherton, Mark R., Mocking, Steven J. T., McIntosh, Elissa C., Cole, John W., Holmegaard, Lukas, Jood, Katarina, Jimenez-Conde, Jordi, Kittner, Steven J., Lemmens, Robin, Meschia, James F., Rosand, Jonathan, Roquer, Jaume, Rundek, Tatjana, MD, Ralph L. Sacco, Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Stanne, Tara M., Vagal, Achala, Wasselius, Johan, Woo, Daniel, Bevan, Stephen, Heitsch, Laura, Phuah, Chia-Ling, MD, Daniel Strbian, Tatlisumak, Turgut, Levi, Christopher R., Attia, John, McArdle, Patrick F., Worrall, Bradford B., Wu, Ona, Jern, Christina, Lindgren, Arne, Maguire, Jane, Thijs, Vincent, Rost, Natalia S.
Publikováno v:
Mayo Clinic Proceedings. Vol. 95. No. 5. Elsevier, 2020
Objective: To determine whether brain volume is associated with functional outcome after acute ischemic stroke (AIS). Methods: We analyzed cross-sectional data of the multi-site, international hospital-based MRI-GENetics Interface Exploration (MRI-GE
Externí odkaz:
http://arxiv.org/abs/2007.08374
Autor:
Schirmer, Markus D., Venkataraman, Archana, Rekik, Islem, Kim, Minjeong, Mostofsky, Stewart H., Nebel, Mary Beth, Rosch, Keri, Seymour, Karen, Crocetti, Deana, Irzan, Hassna, Hütel, Michael, Ourselin, Sebastien, Marlow, Neil, Melbourne, Andrew, Levchenko, Egor, Zhou, Shuo, Kunda, Mwiza, Lu, Haiping, Dvornek, Nicha C., Zhuang, Juntang, Pinto, Gideon, Samal, Sandip, Zhang, Jennings, Bernal-Rusiel, Jorge L., Pienaar, Rudolph, Chung, Ai Wern
Large, open-source consortium datasets have spurred the development of new and increasingly powerful machine learning approaches in brain connectomics. However, one key question remains: are we capturing biologically relevant and generalizable inform
Externí odkaz:
http://arxiv.org/abs/2006.03611
Autor:
Chung, Ai Wern, Schirmer, Markus D.
Autism spectrum disorder (ASD) is a neurodevelopmental condition impacting high-level cognitive processing and social behavior. Recognizing the distributed nature of brain function, neuroscientists are exploiting the connectome to aid with the charac
Externí odkaz:
http://arxiv.org/abs/1908.09116
Autor:
Schirmer, Markus D., Chung, Ai Wern
Autism is increasing in prevalence and is a neurodevelopmental disorder characterised by impairments in communication skills and social behaviour. Connectomes enable a systems-level representation of the brain with recent interests in understanding t
Externí odkaz:
http://arxiv.org/abs/1908.09117
Autor:
Egger, Bernhard, Schirmer, Markus D., Dubost, Florian, Nardin, Marco J., Rost, Natalia S., Golland, Polina
Publikováno v:
MICCAI 2019, the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, in Shenzhen, China
We propose and demonstrate a joint model of anatomical shapes, image features and clinical indicators for statistical shape modeling and medical image analysis. The key idea is to employ a copula model to separate the joint dependency structure from
Externí odkaz:
http://arxiv.org/abs/1907.07783
Autor:
Dubost, Florian, de Bruijne, Marleen, Nardin, Marco, Dalca, Adrian V., Donahue, Kathleen L., Giese, Anne-Katrin, Etherton, Mark R., Wu, Ona, de Groot, Marius, Niessen, Wiro, Vernooij, Meike, Rost, Natalia S., Schirmer, Markus D.
Registration is a core component of many imaging pipelines. In case of clinical scans, with lower resolution and sometimes substantial motion artifacts, registration can produce poor results. Visual assessment of registration quality in large clinica
Externí odkaz:
http://arxiv.org/abs/1907.00695