Roland Opfer

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 17

Top Topics

Diffusion Model

Corpus Callosum

Unsupervised Anomaly Detection

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Bildverarbeitung für die Medizin

Publications

Jan Ehrhardt, Hristina Uzunova, Paul Kaftan, Julia Krüger, Roland Opfer, Heinz Handels
Abstract: Focused Unsupervised Image Registration for Structure-specific Population Analysis. Bildverarbeitung für die Medizin (2024)
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Robin Mieling, Alexander Schlaefer
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection. CoRR (2024)
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection. CoRR (2024)
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. MIDL (2023)
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs. CoRR (2023)
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. CoRR (2023)
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers. ISBI (2023)
Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction. Medical Imaging: Computer-Aided Diagnosis (2022)
Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with impured training data. CoRR (2022)
Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer
Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data. ISBI (2022)
Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction. CoRR (2022)
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs. CoRR (2022)
Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI. CoRR (2021)
Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI. Int. J. Comput. Assist. Radiol. Surg. 16 (9) (2021)
Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation. CoRR (2020)
Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs. CoRR (2020)
Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs. Comput. Medical Imaging Graph. 84 (2020)
Steffen Renisch, Roland Opfer, Rafael Wiemker
Towards automatic determination of total tumor burden from PET images. Medical Imaging: Computer-Aided Diagnosis (2010)
Roland Opfer, Sven Kabus, Torben Schneider, Ingwer C. Carlsen, Steffen Renisch, Jörg Sabczynski
Follow-up segmentation of lung tumors in PET and CT data. Medical Imaging: Computer-Aided Diagnosis (2009)
Roland Opfer, Winfried Brenner, Ingwer Carlsen, Steffen Renisch, Jörg Sabczynski, Rafael Wiemker
Automatic lesion tracking for a PET/CT based computer aided cancer therapy monitoring system. Medical Imaging: Computer-Aided Diagnosis (2008)
Luyin Zhao, Michael C. Lee, Lilla Böröczky, Victor Vloemans, Roland Opfer
Comparison of computer-aided diagnosis performance and radiologist readings on the LIDC pulmonary nodule dataset. Medical Imaging: Computer-Aided Diagnosis (2008)
Rafael Wiemker, Roland Opfer, Thomas Bülow, Sven Kabus, Ekta Dharaiya
Repeatability and noise robustness of spicularity features for computer aided characterization of pulmonary nodules in CT. Medical Imaging: Computer-Aided Diagnosis (2008)
Rafael Wiemker, Roland Opfer, Thomas Bülow, Patrik Rogalla, Amnon Steinberg, Ekta Dharaiya, Krishna Subramanyan
Toward computer-aided emphysema quantification on ultralow-dose CT: reproducibility of ventrodorsal gravity effect measurement and correction. Medical Imaging: Computer-Aided Diagnosis (2007)
Roland Opfer, Rafael Wiemker
A new general tumor segmentation framework based on radial basis function energy minimization with a validation study on LIDC lung nodules. Medical Imaging: Image Processing (2007)
Roland Opfer
Multiscale kernels. Adv. Comput. Math. 25 (4) (2006)