Roland Opfer

32 papers B 1Journal 17Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs.
Comput. Biol. Medicine
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
2024 — conf
Abstract: Focused Unsupervised Image Registration for Structure-specific Population Analysis.
Bildverarbeitung für die Medizin
Jan Ehrhardt, Hristina Uzunova, Paul Kaftan, Julia Krüger, Roland Opfer, Heinz Handels
2024 J jnl
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI.
Int. J. Comput. Assist. Radiol. Surg.
Roland Opfer, Julia Krüger, Thomas Buddenkotte, Lothar Spies, Finn Behrendt, Sven Schippling, Ralph Buchert
2024 J jnl
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration.
CoRR
Thomas Buddenkotte, Roland Opfer, Julia Krüger, Alessa Hering, Mireia Crispin-Ortuzar
2024 — conf
Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs.
MIDL
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
2024 — conf
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection.
ISBI
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Robin Mieling, Alexander Schlaefer
2024 J jnl
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection.
CoRR
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Robin Mieling, Alexander Schlaefer
2024 J jnl
Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning.
Comput. Biol. Medicine
Roland Opfer, Tjalf Ziemssen, Julia Krüger, Thomas Buddenkotte, Lothar Spies, Carola Gocke, Matthias Schwab, Ralph Buchert
2024 — conf
Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection.
MICCAI (11)
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
2024 J jnl
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection.
CoRR
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
2023 J jnl
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs.
CoRR
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
2023 — conf
Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers.
ISBI
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
2023 — conf
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI.
MIDL
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
2023 J jnl
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI.
CoRR
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
2022 J jnl
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs.
CoRR
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
2022 — conf
Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data.
ISBI
Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer
2022 J jnl
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction.
CoRR
Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer
2022 J jnl
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with impured training data.
CoRR
Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer
2022 — conf
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction.
Computer-Aided Diagnosis
Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer
2021 J jnl
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI.
CoRR
Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer
2021 J jnl
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI.
Int. J. Comput. Assist. Radiol. Surg.
Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer
2020 J jnl
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation.
CoRR
Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer
2020 J jnl
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs.
CoRR
Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer
2020 J jnl
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs.
Comput. Medical Imaging Graph.
Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer
2010 — conf
Towards automatic determination of total tumor burden from PET images.
Computer-Aided Diagnosis
Steffen Renisch, Roland Opfer, Rafael Wiemker
2009 — conf
Follow-up segmentation of lung tumors in PET and CT data.
Computer-Aided Diagnosis
Roland Opfer, Sven Kabus, Torben Schneider, Ingwer C. Carlsen, Steffen Renisch, Jörg Sabczynski
2008 — conf
Automatic lesion tracking for a PET/CT based computer aided cancer therapy monitoring system.
Computer-Aided Diagnosis
Roland Opfer, Winfried Brenner, Ingwer Carlsen, Steffen Renisch, Jörg Sabczynski, Rafael Wiemker
2008 — conf
Comparison of computer-aided diagnosis performance and radiologist readings on the LIDC pulmonary nodule dataset.
Computer-Aided Diagnosis
Luyin Zhao, Michael C. Lee, Lilla Böröczky, Victor Vloemans, Roland Opfer
2008 — conf
Repeatability and noise robustness of spicularity features for computer aided characterization of pulmonary nodules in CT.
Computer-Aided Diagnosis
Rafael Wiemker, Roland Opfer, Thomas Bülow, Sven Kabus, Ekta Dharaiya
2007 B conf
A new general tumor segmentation framework based on radial basis function energy minimization with a validation study on LIDC lung nodules.
Image Processing
Roland Opfer, Rafael Wiemker
2007 — conf
Toward computer-aided emphysema quantification on ultralow-dose CT: reproducibility of ventrodorsal gravity effect measurement and correction.
Computer-Aided Diagnosis
Rafael Wiemker, Roland Opfer, Thomas Bülow, Patrik Rogalla, Amnon Steinberg, Ekta Dharaiya, Krishna Subramanyan
2006 J jnl
Multiscale kernels.
Adv. Comput. Math.
Roland Opfer