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R. Opfer · SciRah

Researcher profile · Semantic Scholar

R. Opfer

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R. Opfer — researcher profile on SciRah

h-index: 19
Works: 82
Citations: 1,393

Most-cited papers

Results on meshless collocation techniques
Leevan Ling, R. Opfer, R. Schaback
2006171 citations Open access
Semantic Scholar
MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?
Christine Egger, R. Opfer, Chen-Yu Wang, Timo Kepp +4 more
2016NeuroImage: Clinical118 citations Open access
Semantic Scholar
Global and regional annual brain volume loss rates in physiological aging
S. Schippling, A. Ostwaldt, P. Suppa, L. Spies +4 more
2017Journal of Neurology84 citations
Semantic Scholar
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
Finn Behrendt, Debayan Bhattacharya, Julia Kruger, R. Opfer +1 more
2023International Conference on Medical Imaging with Deep Learning83 citations Open access
Semantic Scholar
Multiscale kernels
R. Opfer
2006Advances in Computational Mathematics79 citations
Semantic Scholar
Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks
J. Krüger, R. Opfer, N. Gessert, A. Ostwaldt +4 more
2020NeuroImage: Clinical67 citations Open access
Semantic Scholar
Performance analysis for computer-aided lung nodule detection on LIDC data
R. Opfer, R. Wiemker
2007SPIE Medical Imaging58 citations
Semantic Scholar
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs
N. Gessert, J. Krüger, R. Opfer, A. Ostwaldt +4 more
2020Comput. Medical Imaging Graph.54 citations Open access
Semantic Scholar
Tight frame expansions of multiscale reproducing kernels in Sobolev spaces
R. Opfer
200643 citations Open access
Semantic Scholar
MS optic neuritis-induced long-term structural changes within the visual pathway
Marc Pawlitzki, Marc Horbrügger, K. Loewe, J. Kaufmann +6 more
2020Neurology: Neuroimmunology & Neuroinflammation42 citations Open access
Semantic Scholar
Atlas based brain volumetry: How to distinguish regional volume changes due to biological or physiological effects from inherent noise of the methodology.
R. Opfer, P. Suppa, Timo Kepp, L. Spies +2 more
2016Magnetic Resonance Imaging39 citations Open access
Semantic Scholar
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
Finn Behrendt, Debayan Bhattacharya, R. Mieling, Lennart Maack +3 more
2023Comput. Biol. Medicine37 citations Open access
Semantic Scholar
T-Cell Specificity Influences Disease Heterogeneity in Multiple Sclerosis
C. Cruciani, Marco Puthenparampil, Paula Tomas-Ojer, I. Jelcic +10 more
2021Neurology: Neuroimmunology & Neuroinflammation33 citations Open access
Semantic Scholar
Estimates of age-dependent cutoffs for pathological brain volume loss using SIENA/FSL-a longitudinal brain volumetry study in healthy adults.
R. Opfer, A. Ostwaldt, M. Sormani, C. Gocke +4 more
2017Neurobiology of Aging33 citations Open access
Semantic Scholar
Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability
R. Opfer, J. Krüger, L. Spies, A. Ostwaldt +3 more
2022European Radiology31 citations Open access
Semantic Scholar
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI
M. Bengs, Finn Behrendt, J. Krüger, R. Opfer +1 more
2021International Journal of Computer Assisted Radiology and Surgery31 citations Open access
Semantic Scholar
Within-patient fluctuation of brain volume estimates from short-term repeated MRI measurements using SIENA/FSL
R. Opfer, A. Ostwaldt, Christine Walker-Egger, P. Manogaran +3 more
2018Journal of Neurology23 citations
Semantic Scholar
Clinically Oriented Translational Cancer Multilevel Modeling: The ContraCancrum Project
K. Marias, V. Sakkalis, A. Roniotis, C. Farmaki +26 more
200923 citations
Semantic Scholar
A systematic approach to deep learning-based nodule detection in chest radiographs
Finn Behrendt, M. Bengs, Debayan Bhattacharya, J. Krüger +2 more
2023Scientific Reports19 citations Open access
Semantic Scholar
MRI-Based Brain Volumetry at a Single Time Point Complements Clinical Evaluation of Patients With Multiple Sclerosis in an Outpatient Setting
Alaleh Raji, A. Ostwaldt, R. Opfer, P. Suppa +2 more
2018Frontiers in Neurology19 citations Open access
Semantic Scholar
A new general tumor segmentation framework based on radial basis function energy minimization with a validation study on LIDC lung nodules
R. Opfer, R. Wiemker
2007SPIE Medical Imaging19 citations
Semantic Scholar
AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis
Sarah Schlaeger, Suprosanna Shit, P. Eichinger, M. Hamann +9 more
2023Insights into Imaging18 citations Open access
Semantic Scholar
Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks
J. Krüger, A. Ostwaldt, L. Spies, Benjamin P. Geisler +4 more
2021European Radiology18 citations
Semantic Scholar
Fully automatic detection of deep white matter T1 hypointense lesions in multiple sclerosis
L. Spies, Anja Tewes, P. Suppa, R. Opfer +3 more
2013Physics in Medicine and Biology17 citations Open access
Semantic Scholar
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection
Finn Behrendt, Debayan Bhattacharya, R. Mieling, Lennart Maack +3 more
2024International Conference on Medical Image Computing and Computer-Assisted Intervention15 citations
Semantic Scholar
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation
N. Gessert, M. Bengs, J. Krüger, R. Opfer +4 more
2020arXiv.org15 citations
Semantic Scholar
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction
M. Bengs, Finn Behrendt, M. Laves, Julia Kruger +2 more
2022Medical Imaging12 citations Open access
Semantic Scholar
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, J. Krüger +3 more
2024IEEE International Symposium on Biomedical Imaging11 citations Open access
Semantic Scholar
Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance
Thomas Budenkotte, I. Apostolova, R. Opfer, J. Krüger +2 more
2023European Journal of Nuclear Medicine and Molecular Imaging11 citations Open access
Semantic Scholar
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs
Finn Behrendt, Debayan Bhattacharya, J. Krüger, R. Opfer +1 more
2022Current Directions in Biomedical Engineering11 citations Open access
Semantic Scholar
Single-subject analysis of regional brain volumetric measures can be strongly influenced by the method for head size adjustment
R. Opfer, J. Krüger, L. Spies, H. Kitzler +2 more
2022Neuroradiology10 citations Open access
Semantic Scholar
Automatic lesion tracking for a PET/CT based computer aided cancer therapy monitoring system
R. Opfer, W. Brenner, I. Carlsen, S. Renisch +2 more
2008SPIE Medical Imaging10 citations
Semantic Scholar
Comparative performance analysis for computer aided lung nodule detection and segmentation on ultra-low-dose vs. standard-dose CT
R. Wiemker, P. Rogalla, R. Opfer, A. Ekin +2 more
2006SPIE Medical Imaging9 citations
Semantic Scholar
Intrathecal Anti-Akkermansia muciniphila IgG Responses in Multiple Sclerosis Patients Linked to CSF Immune Cells and Disease Activity
C. Cruciani, Camille Mathé, Marco Puthenparampil, Paula Tomas-Ojer +8 more
2025Journal of Clinical Medicine8 citations Open access
Semantic Scholar
An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.
K. Villringer, R. Sokiranski, R. Opfer, L. Spies +5 more
2024Clinical Neuroradiology8 citations Open access
Semantic Scholar
Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data
Finn Behrendt, M. Bengs, F. Rogge, Julia Kruger +2 more
2022IEEE International Symposium on Biomedical Imaging8 citations
Semantic Scholar
Age-dependent cut-offs for pathological deep gray matter and thalamic volume loss using Jacobian integration
R. Opfer, J. Krüger, L. Spies, M. Hamann +5 more
2020NeuroImage: Clinical8 citations Open access
Semantic Scholar
Toward computer-aided emphysema quantification on ultralow-dose CT: reproducibility of ventrodorsal gravity effect measurement and correction
R. Wiemker, R. Opfer, Thomas Bülow, P. Rogalla +3 more
2007SPIE Medical Imaging8 citations
Semantic Scholar
Voxel-based morphometry in single subjects without a scanner-specific normal database using a convolutional neural network
J. Krüger, R. Opfer, L. Spies, D. Hedderich +1 more
2023European Radiology7 citations Open access
Semantic Scholar
Fully Automatic MRI-Based Hippocampus Volumetry Using FSL-FIRST: Intra-Scanner Test-Retest Stability, Inter-Field Strength Variability, and Performance as Enrichment Biomarker for Clinical Trials Using Prodromal Target Populations at Risk for Alzheimer’s Disease
E. Cavedo, P. Suppa, C. Lange, R. Opfer +6 more
2017Journal of Alzheimer's Disease7 citations
Semantic Scholar
Unsupervised extraction and quantification of the bronchial tree on ultra-low-dose vs. standard-dose CT
R. Wiemker, A. Ekin, R. Opfer, Thomas Bülow +1 more
2006SPIE Medical Imaging7 citations
Semantic Scholar
Follow-up segmentation of lung tumors in PET and CT data
R. Opfer, S. Kabus, T. Schneider, I. Carlsen +2 more
2009Medical Imaging6 citations
Semantic Scholar
Performance study of a globally elastic locally rigid matching algorithm for follow-up chest CT
R. Wiemker, B. de Hoop, S. Kabus, H. Gietema +2 more
2008SPIE Medical Imaging6 citations
Semantic Scholar
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI
R. Opfer, J. Krüger, T. Buddenkotte, L. Spies +3 more
2024International Journal of Computer Assisted Radiology and Surgery5 citations Open access
Semantic Scholar
Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning
R. Opfer, T. Ziemssen, J. Krüger, T. Buddenkotte +4 more
2024Comput. Biol. Medicine5 citations Open access
Semantic Scholar
Towards automatic determination of total tumor burden from PET images
S. Renisch, R. Opfer, R. Wiemker
2010Medical Imaging5 citations
Semantic Scholar
Comparison of computer-aided diagnosis performance and radiologist readings on the LIDC pulmonary nodule dataset
Lu-Yin Zhao, Michael C. Lee, Lilla Boroczky, Victor Vloemans +1 more
2008SPIE Medical Imaging5 citations
Semantic Scholar
Repeatability and noise robustness of spicularity features for computer aided characterization of pulmonary nodules in CT
R. Wiemker, R. Opfer, Thomas Bülow, S. Kabus +1 more
2008SPIE Medical Imaging5 citations
Semantic Scholar
Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, J. Krüger +2 more
2024International Conference on Medical Imaging with Deep Learning4 citations
Semantic Scholar
Removing outliers from the normative database improves regional atrophy detection in single-subject voxel-based morphometry
Vivian Schultz, D. Hedderich, B. Schmitz-Koep, David Schinz +6 more
2024Neuroradiology4 citations Open access
Semantic Scholar

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