Alexander Schlaefer
6 papers · 2021–2024 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(5)
Computer Vision
(3)
Machine Learning
(3)
Models
(3)
Artificial Intelligence
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Domain-Specific
(2)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Keywords
diffusion model
(2)
unsupervised anomaly detection
(2)
variational inference
(1)
bayesian inference
(1)
uncertainty quantification
(1)
attention mechanism
(1)
knowledge distillation
(1)
image reconstruction
(1)
inverse problem
(1)
convolutional neural network
(1)
student network
(1)
deep image prior
(1)
medical image
(1)
dice score
(1)
convolutional autoencoder
(1)
scattering transform
(1)
teacher network
(1)
brain mri
(1)
real time
(1)
wavelet transformation
(1)
Papers
Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs
MIDL 2024
Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation
MIDL 2024
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection
MICCAI 2024
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
MIDL 2023
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging
MIDL 2021
Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets
MIDL 2021