Steffen Bollmann

According to our database, Steffen Bollmann authored at least 10 papers between 2018 and 2023.

Collaborative distances:

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

2023

Super-resolution QSM in little or no additional time for imaging (NATIve) using 2D EPI imaging in 3 orthogonal planes.

Beáta Bachratá, Steffen Bollmann, Jin Jin, Monique Tourell, Assunta Dal-Bianco, Siegfried Trattnig, Markus Barth, Stefan Ropele, Christian Enzinger, Simon Robinson

NeuroImage, December, 2023

NeXtQSM - A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data.

Francesco Cognolato, Kieran O'Brien, Jin Jin, Simon Robinson, Frederik B. Laun, Markus Barth, Steffen Bollmann

Medical Image Anal., 2023

2022

Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T.

Jeryn Chang, Frederik Steyn, Shyuan Ngo, Robert Henderson, Christine Cong Guo, Steffen Bollmann, Jurgen Fripp, Markus Barth, Thomas B. Shaw

J. Open Source Softw., 2022

An explainability framework for cortical surface-based deep learning.

Fernanda L. Ribeiro, Steffen Bollmann, Ross Cunnington, Alexander M. Puckett

CoRR, 2022

2021

Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning.

Fernanda L. Ribeiro, Steffen Bollmann, Alexander M. Puckett

NeuroImage, 2021

2020

Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI.

Thomas B. Shaw, Ashley York, Maryam Ziaei, Markus Barth, Steffen Bollmann

NeuroImage, 2020

DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning.

Fernanda L. Ribeiro, Steffen Bollmann, Alexander M. Puckett

CoRR, 2020

2019

Non-linear realignment improves hippocampus subfield segmentation reliability.

Thomas B. Shaw, Steffen Bollmann, Nicole T. Atcheson, Lachlan T. Strike, Christine Cong Guo, Katie L. McMahon, Jurgen Fripp, Margaret J. Wright, Olivier Salvado, Markus Barth

NeuroImage, 2019

DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping.

Steffen Bollmann, Kasper Gade Bøtker Rasmussen, Mads Kristensen, Rasmus Guldhammer Blendal, Lasse Riis Østergaard, Maciej Plocharski, Kieran O'Brien, Christian Langkammer, Andrew L. Janke, Markus Barth

NeuroImage, 2019

2018

Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 T.

Kiran Thapaliya, Viktor Vegh, Steffen Bollmann, Markus Barth

NeuroImage, 2018