Research output per year
Research output per year
Personal profile
Research interests (short)
Research interest include network theory, network analysis of brain connectivity based on magnetic resonance imaging (MRI) and diffusion MRI, graph similarity and comparisons in the human brain with a focus on the developing human brain, as well as medical applications of machine learning techniques.
Website: www.markus-schirmer.com
Email: [email protected]
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Master of Physics, Halo mass function from excursion set theory, RWTH Aachen University
Award Date: 1 Jan 2011
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Connectome Analysis: Characterization, Methods, and Analysis
Schirmer, M. D., Arichi, T. & Chung, A. W., 1 Jan 2023, Elsevier. 448 p.Research output: Book/Report › Book › peer-review
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Neuropsychiatric disease classification using functional connectomics- results of the connectomics in neuroimaging transfer learning challenge
Schirmer, M. D., Venkataraman, A., Rekik, I., Kim, M., Mostofsky, S. H., Nebel, M. B., Rosch, K., Seymour, K., Crocetti, D., Irzan, H., Hutel, M., Ourselin, S., Marlow, N., Melbourne, A., Levchenko, E., Zhou, S., Kunda, M., Lu, H., Dvornek, N. C. & Zhuang, J. & 6 others, , May 2021, In: Medical Image Analysis. 70, 101972.Research output: Contribution to journal › Article › peer-review
16 Citations (Scopus) -
Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge
Schirmer, M. D., Venkataraman, A., Rekik, I., Kim, M., Mostofsky, S. H., Nebel, M. B., Rosch, K., Seymour, K., Crocetti, D., Irzan, H., Hütel, M., Ourselin, S., Marlow, N., Melbourne, A., Levchenko, E., Zhou, S., Kunda, M., Lu, H., Dvornek, N. C. & Zhuang, J. & 6 others, , 5 Jun 2020.Research output: Working paper/Preprint › Preprint
File46 Downloads (Pure) -
Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge
Schirmer, M. D., Venkataraman, A., Rekik, I., Kim, M., Mostofsky, S., Nebel, M. B., Rosch, K., Seymour, K., Crocetti, D., Irzan, H., Hütel, M., Ourselin, S., Marlow, N., Melbourne, A., Levchenko, E., Zhou, S., Kunda, M., Lu, H., Dvornek, N. C. & Zhuang, J. & 5 others, , 5 Jun 2020, In: arXiv.Research output: Contribution to journal › Article › peer-review
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Characterising brain network topologies: A dynamic analysis approach using heat kernels
Chung, A. W., Schirmer, M. D., Krishnan, M., Ball, G., Aljabar, P., Edwards, A. D. & Montana, G., Nov 2016, In: NeuroImage.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Citations (Scopus)259 Downloads (Pure)
Thesis
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Developing Brain Connectivity- Effects of Parcellation Scale on Network Analysis in Neonates
Schirmer, M. D. (Author), Aljabar, P. (Supervisor) & Hajnal, J. V. (Supervisor), 2015Student thesis: Doctoral Thesis › Doctor of Philosophy
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