Alexander Schlaefer

Full Professor, Hamburg University of Technology

Joined

April 2018

Names

Alexander Schlaefer

Emails

****@tuhh.de (Confirmed)

Personal Links

Homepage

Career & Education History

Full Professor

Hamburg University of Technology (tuhh.de)

2013 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation
Lennart Maack, Finn Behrendt, Debayan Bhattacharya, Sarah Latus, Alexander Schlaefer
- MIDL 2024 Poster
- Readers: Everyone
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 Oral
- Readers: Everyone
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
- Published: 04 Apr 2023, Last Modified: 15 Feb 2026
- MIDL 2023 Poster
- Readers: Everyone
Capturing Inter-Slice Dependencies of 3D Brain MRI-Scans for Unsupervised Anomaly Detection
Finn Behrendt, Marcel Bengs, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
- Published: 09 May 2022, Last Modified: 12 May 2023
- MIDL 2022 Short Papers
- Readers: Everyone
Learning Robust Representation for Laryngeal Cancer Classification in Vocal Folds from Narrow Band Images
Debayan Bhattacharya, Finn Behrendt, Axelle Felicio-Briegel, Veronika Volgger, Dennis Eggert, Christian Betz, Alexander Schlaefer
- Published: 09 May 2022, Last Modified: 12 May 2023
- MIDL 2022 Short Papers
- Readers: Everyone
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging
Malte Tölle, Max-Heinrich Laves, Alexander Schlaefer
- Published: 31 Mar 2021, Last Modified: 16 May 2023
- MIDL 2021
- Readers: Everyone
Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets
Lennart Bargsten, Katharina A. Riedl, Tobias Wissel, Fabian J. Brunner, Klaus Schaefers, Michael Grass, Stefan Blankenberg, Moritz Seiffert, Alexander Schlaefer
- Published: 31 Mar 2021, Last Modified: 16 May 2023
- MIDL 2021
- Readers: Everyone

Alexander Schlaefer

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation

Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs

Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI

Capturing Inter-Slice Dependencies of 3D Brain MRI-Scans for Unsupervised Anomaly Detection

Learning Robust Representation for Laryngeal Cancer Classification in Vocal Folds from Narrow Band Images

A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging

Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets

Co-Authors