Jonas Annuscheit

According to our database, Jonas Annuscheit authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge.

Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Çayir, Hongyan Gu, Xiang Anthony Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram

Medical Image Anal., 2024

2022

Radial Prediction Domain Adaption Classifier for the MIDOG 2022 challenge.

Jonas Annuscheit

CoRR, 2022

Radial Prediction Domain Adaption Classifier for the MIDOG 2022 Challenge.

Jonas Annuscheit, Christian Krumnow

Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

2020

Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology.

Klaus Strohmenger, Christian Herta, Oliver Fischer, Jonas Annuscheit, Peter Hufnagl

AI and ML for Digital Pathology, 2020

Curious Containers: A framework for computational reproducibility in life sciences with support for Deep Learning applications.

Christoph Jansen, Jonas Annuscheit, Bruno Schilling, Klaus Strohmenger, Michael Witt, Felix Bartusch, Christian Herta, Peter Hufnagl, Dagmar Krefting

Future Gener. Comput. Syst., 2020

2019

Reproducibility and Performance of Deep Learning Applications for Cancer Detection in Pathological Images.

Christoph Jansen, Bruno Schilling, Klaus Strohmenger, Michael Witt, Jonas Annuscheit, Dagmar Krefting

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019