Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI. - Marcel Bengs; Finn Behrendt; Julia Krüger; Roland Opfer; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2021)

3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI. - Marcel Bengs; Finn Behrendt; Julia Krüger; Roland Opfer; Alexander Schlaefer (CoRR, 2021)

Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data. - Finn Behrendt; Marcel Bengs; Frederik Rogge; Julia Krüger; Roland Opfer; Alexander Schlaefer (ISBI, 2022)

Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction. - Marcel Bengs; Finn Behrendt; Max-Heinrich Laves; Julia Krüger; Roland Opfer; Alexander Schlaefer (Computer-Aided Diagnosis, 2022)

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. - Debayan Bhattacharya; Benjamin Tobias Becker; Finn Behrendt; Marcel Bengs; Dirk Beyersdorff; Dennis Eggert; Elina Petersen; Florian Jansen; Marvin Petersen; Bastian Cheng; Christian Betz; Alexander Schlaefer; et al. (MICCAI (3), 2022)

Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs. - Finn Behrendt; Debayan Bhattacharya; Julia Krüger; Roland Opfer; Alexander Schlaefer (CoRR, 2022)

Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography. - Debayan Bhattacharya; Sarah Latus; Finn Behrendt; Florin Thimm; Dennis Eggert; Christian Betz; Alexander Schlaefer (EMBC, 2023)

Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers. - Finn Behrendt; Debayan Bhattacharya; Julia Krüger; Roland Opfer; Alexander Schlaefer (ISBI, 2023)

Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus. - Debayan Bhattacharya; Finn Behrendt; Benjamin Tobias Becker; Dirk Beyersdorff; Elina Petersen; Marvin Petersen; Bastian Cheng; Dennis Eggert; Christian Betz; Anna Sophie Hoffmann; Alexander Schlaefer (Computer-Aided Diagnosis, 2023)

Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue. - Robin Mieling; Sarah Latus; Martin Fischer; Finn Behrendt; Alexander Schlaefer (MICCAI (9), 2023)

Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. - Finn Behrendt; Debayan Bhattacharya; Julia Krüger; Roland Opfer; Alexander Schlaefer (MIDL, 2023)

Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection. - Finn Behrendt; Debayan Bhattacharya; Lennart Maack; Julia Krüger; Roland Opfer; Robin Mieling; Alexander Schlaefer (ISBI, 2024)

Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography? - Robin Mieling; Sarah Latus; Finn Behrendt; Debayan Bhattacharya; Maximilian Neidhardt; Alexander Schlaefer (ISBI, 2024)

Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection. - Finn Behrendt; Debayan Bhattacharya; Robin Mieling; Lennart Maack; Julia Krüger; Roland Opfer; Alexander Schlaefer (MICCAI (11), 2024)

Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs. - Finn Behrendt; Debayan Bhattacharya; Lennart Maack; Julia Krüger; Roland Opfer; Alexander Schlaefer (MIDL, 2024)

Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation. - Lennart Maack; Finn Behrendt; Debayan Bhattacharya; Sarah Latus; Alexander Schlaefer (MIDL, 2024)

Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus. - Debayan Bhattacharya; Finn Behrendt; Benjamin Tobias Becker; Dirk Beyersdorff; Elina Petersen; Marvin Petersen; Bastian Cheng; Dennis Eggert; Christian Betz; Anna Sophie Hoffmann; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2024)

Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. - Ecem Sogancioglu; Bram van Ginneken; Finn Behrendt; Marcel Bengs; Alexander Schlaefer; Miron Radu; Di Xu; Ke Sheng; Fabien Scalzo; Eric Marcus; Samuele Papa; Jonas Teuwen; et al. (IEEE Trans. Medical Imaging, 2024)

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus. - Debayan Bhattacharya; Finn Behrendt; Benjamin Tobias Becker; Lennart Maack; Dirk Beyersdorff; Elina Petersen; Marvin Petersen; Bastian Cheng; Dennis Eggert; Christian Betz; Anna Sophie Hoffmann; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2024)

BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI. - Roland Opfer; Julia Krüger; Thomas Buddenkotte; Lothar Spies; Finn Behrendt; Sven Schippling; Ralph Buchert (Int. J. Comput. Assist. Radiol. Surg., 2024)

PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM. - Debayan Bhattacharya; Konrad Reuter; Finn Behrendt; Lennart Maack; Sarah Grube; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2024)

Needle tracking in low-resolution ultrasound volumes using deep learning. - Sarah Grube; Sarah Latus; Finn Behrendt; Oleksandra Riabova; Maximilian Neidhardt; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2024)

Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs. - Finn Behrendt; Debayan Bhattacharya; Robin Mieling; Lennart Maack; Julia Krüger; Roland Opfer; Alexander Schlaefer (Comput. Biol. Medicine, 2025)