Lennart Maack

15 papers Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Surgical instrument-tissue interaction recognition with multi-task-attention video transformer.
Int. J. Comput. Assist. Radiol. Surg.
Lennart Maack, Berk Cam, Sarah Latus, Tobias Maurer, Alexander Schlaefer
2025 J jnl
Distilling Expert Surgical Knowledge: How to train local surgical VLMs for anatomy explanation in Complete Mesocolic Excision.
CoRR
Lennart Maack, Julia-Kristin Graß, Lisa-Marie Toscha, Nathaniel Melling, Alexander Schlaefer
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
2025 J jnl
Tracking Any Point Methods for Markerless 3D Tissue Tracking in Endoscopic Stereo Images.
CoRR
Konrad Reuter, Suresh Guttikonda, Sarah Latus, Lennart Maack, Christian Betz, Tobias Maurer, Alexander Schlaefer
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 — conf
Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation.
MIDL
Lennart Maack, Finn Behrendt, Debayan Bhattacharya, Sarah Latus, Alexander Schlaefer
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
2024 J jnl
PolypNextLSTM: A lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM.
CoRR
Debayan Bhattacharya, Konrad Reuter, Finn Behrendt, Lennart Maack, Sarah Grube, Alexander Schlaefer
2024 J jnl
PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM.
Int. J. Comput. Assist. Radiol. Surg.
Debayan Bhattacharya, Konrad Reuter, Finn Behrendt, Lennart Maack, Sarah Grube, Alexander Schlaefer
2024 J jnl
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.
Int. J. Comput. Assist. Radiol. Surg.
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
2024 J jnl
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.
CoRR
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
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