Article accepted at IPMI 2019

Our paper “Learning a Conditional Generative Model for Anatomical Shape Analysis” has been accepted to be presented at “Information Processing in Medical Imaging” (IPMI) 2019. The conference will take place in Hong Kong between the 2th and 7th of June.




Interview: Künstliche Intelligenz

Interview in the current issue of Münchner Uni Magazin on Artificial Intelligence. Importance of artificial intelligence for the analysis of medical images.


Webservice online

Check out our Webservice for brain segmentation.


Journal article accepted at NeuroImage

Our Paper titled “QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy” has been accepted for publication at NeuroImage.


Journal article accepted at IEEE TMI

Our paper Recalibrating Fully Convolutional Networks with Spatial and Channel ‘Squeeze & Excitation’ Blocks, has been accepted at IEEE Transactions on Medical Imaging.










Paper accepted at ShapeMI 2018

Our paper Deep Shape Analysis on Abdominal Organs for Diabetes Prediction  has been accepted for presentation at the ShapeMI workshop, a sattelite event at MICCAI 2018.

Journal article accepted at IEEE TMI

Our work on Keypoint Transfer for Fast Whole-Body Segmentation has been accepted at IEEE Transactions on Medical Imaging. Check out the Video Animation of the Algorithm!

Three papers accepted at MICCAI 2018!

AI-med will be present at the annual conference of Medical Imaging Computing and Computer Assisted interventions (MICCAI) to be held in Granada with the following papers:

ShapeMI: Shape in Medical Imaging 2018

We co-organize the workshop ShapeMI: Shape in Medical Imaging, which is held in conjunction with MICCAI 2018. Submit your work!

New article in Biological Psychiatry!

Our work on A Longitudinal Imaging Genetics Study of Neuroanatomical Asymmetry in Alzheimer’s Disease has been accepted for publication in Biological Psychiatry.

New article in Neuroimage!

Our most recent work on using uncertainty in age estimation to measure abnormal brain development has been accepted for publication in Neuroimage! The preprint version is already available in arXiv.

AI-Med at SAP ML Retreat

A Brief Insight into SAP’s first ML Research Retreat 
Our team members Benjamin Gutierrrez and Abhijit Guha Roy presented our current projects on SAP’s first Machine Learning Research Retreat.

News article about our work on AI and age estimation

How AI Will Push the Frontiers of Modern Medicine
Interview with Sophia Haegerich on our Brain Age Anomaly project with SAP and the future of AI in healthcare.

Nomination for Young Scientist Award at MICCAI 2017

We are happy to announce that Abhijit Guha Roy was one of 12 students nominated for the Young Scientist Award at MICCAI 2017.

Student Travel Awards at MICCAI 2017

Our MICCAI 2017 papers “A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data” by Benjamin Gutierrez and “Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data” by Abhijit Guha Roy obtained a Student Travel Award.

3 papers accepted at MICCAI 2017 MICCAI 2017

Check out our Publications Page

Junior research group funding from ZD.B

Christian Wachinger received funding for creating a junior research group on “Computational Population Modeling from Big Medical Image Data” from Zentrum Digitalisierung Bayern.

DeepNAT published in NeuroImage

DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy

Article on asymmetry in Alzheimer’s Disease published in Brain

Using BrainPrint to compute brain asymmetry, we found that asymmetry increases with the progression of dementia. Whole-brain Analysis Reveals Increased Neuroanatomical Asymmetries in Dementia for Hippocampus and Amygdala (PDF).

The asymmetry article was featured as Research highlight in the journal Nature Reviews Neurology