Hendrik Mattern

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Tubular Structures

Vessel Segmentation

Top Venues

Bildverarbeitung für die Medizin

Int. J. Comput. Assist. Radiol. Surg.

Publications

Chethan Radhakrishna, Karthikesh Varma Chintalapati, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Hendrik Mattern, Oliver Speck, Andreas Nürnberger, Soumick Chatterjee
SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss. CoRR (2024)
Soumick Chatterjee, Franziska Gaidzik, Alessandro Sciarra, Hendrik Mattern, Gábor Janiga, Oliver Speck, Andreas Nürnberger, Sahani Pathiraja
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation. CoRR (2023)
Lena Spitz, Franziska Gaidzik, Daniel Stucht, Hendrik Mattern, Bernhard Preim, Sylvia Saalfeld
A hybrid hierarchical strategy for registration of 7T TOF-MRI to 7T PC-MRI intracranial vessel data. Int. J. Comput. Assist. Radiol. Surg. 18 (5) (2023)
Berta Garcia-Garcia, Hendrik Mattern, Niklas Vockert, Renat Yakupov, Frank Schreiber, Marco Spallazzi, Valentina Perosa, Aiden Haghikia, Oliver Speck, Emrah Düzel, Anne Maaß, Stefanie Schreiber
Vessel distance mapping: A novel methodology for assessing vascular-induced cognitive resilience. NeuroImage 274 (2023)
Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. J. Imaging 8 (10) (2022)
Chandrakanth Jayachandran Preetha, Hendrik Mattern, Medha Juneja, Johannes Vogt, Oliver Speck, Thomas Hartkens
Entropy-Based SVM Classifier for Automatic Detection of Motion Artifacts in Clinical MRI. Bildverarbeitung für die Medizin (2020)
Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. CoRR (2020)
Julio Acosta-Cabronero, Carlos Milovic, Hendrik Mattern, Cristian Tejos, Oliver Speck, Martina F. Callaghan
A robust multi-scale approach to quantitative susceptibility mapping. NeuroImage 183 (2018)