Lennart Maack

According to our database, Lennart Maack authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., October, 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., September, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

CoRR, 2023