MICCAI Workshops 2024 [2x BestPaperAward]

Check how we use deformable autoencoders to localize neurodegenerative diseases such as Alzheimer's Disease on 3D brain MRI. We also showed that we can use the strength of deformation to an individualized healthy template to assess disease severity:

• Mehmet Yigit Avci, Emily Chan, Veronika Zimmer, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, and Cosmin I. Bercea.: "Unsupervised Analysis of Alzheimer’s Disease Signatures using 3D Deformable Autoencoders."

We developed a simple/lightweight model to selectively adapt anomaly detection methods to non-pathological shifts, i.e., scanner shifts for easier deployment in the clinic. It does not require changing the source model and the code is available online:

• Sameer Ambekar, Julia A. Schnabel, and Cosmin I. Bercea.: "Selective Test-Time Adaptation using Neural Implicit Representations for Unsupervised Anomaly Detection."