Markus Schirmer

According to our database, Markus Schirmer authored at least 14 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.

Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung

Medical Image Anal., 2021

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels.

Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes, Martin Bretzner, Markus D. Schirmer, Anne-Katrin Giese, Adrian V. Dalca, Polina Golland, Natalia S. Rost

CoRR, 2021

2020

Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.

Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro J. Niessen, Meike W. Vernooij, Natalia S. Rost, Markus D. Schirmer

Medical Image Anal., 2020

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.

Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung

CoRR, 2020

2019

Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data.

Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro J. Niessen, Meike W. Vernooij, Natalia S. Rost, Markus D. Schirmer

CoRR, 2019

Heat Kernels with Functional Connectomes Reveal Atypical Energy Transport in Peripheral Subnetworks in Autism.

Markus D. Schirmer, Ai Wern Chung

Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019

Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.

Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Network Dependency Index Stratified Subnetwork Analysis of Functional Connectomes: An Application to Autism.

Ai Wern Chung, Markus D. Schirmer

Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019

2018

Structural Subnetwork Evolution Across the Life-Span: Rich-Club, Feeder, Seeder.

Markus D. Schirmer, Ai Wern Chung

Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

2017

A flexible graphical model for multi-modal parcellation of the cortex.

Sarah Parisot, Ben Glocker, Sofia Ira Ktena, Salim Arslan, Markus D. Schirmer, Daniel Rueckert

NeuroImage, 2017

2016

Characterising brain network topologies: A dynamic analysis approach using heat kernels.

Ai Wern Chung, Markus Schirmer, Michelle L. Krishnan, Gareth Ball, Paul Aljabar, A. David Edwards, Giovanni Montana

NeuroImage, 2016

Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016.

Sarah Parisot, Jonathan Passerat-Palmbach, Markus D. Schirmer, Boris Gutman

CoRR, 2016

GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves.

Sarah Parisot, Ben Glocker, Markus Schirmer, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2013

Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches.

Markus Schirmer, Gareth Ball, Serena J. Counsell, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013