38 citations · 58 across the 29 of their papers we have counts for
29 papers
Applications of Neural Cellular Automata: State of the Art, Challenges and Opportunities
Nick Lemke, Niklas Ihm, John Kalkhof +11
Neural Cellular Automata (NCAs) are a new type of neural network architecture which enable accurate and robust inference at extremely small model sizes. Recently, NCAs have advance…
Coarse to Fine: Iterative Adversarial Neural Cellular Automata for Medical Image Synthesis
Anh Thi Luu, Nick Lemke, Anirban Mukhopadhyay
Large-scale, publicly available datasets have driven advances in deep learning, but privacy and legal restrictions often limit data sharing in medical imaging. Synthetic data gener…
Sterilizable Scene Graph Generation for Operating Rooms
Nick Lemke, Ssharvien Kumar Sivakumar, Antoine P. Sanner +4
Scene graph generation from surgical video enables a holistic and structured understanding of surgical scenes by modeling objects and their semantic relationships. Despite recent a…
Beyond Parameter Space: NTK-Guided Personalized Aggregation for Robust Federated Learning
Mirko Konstantin, Stefan Zachow, Anirban Mukhopadhyay
Federated learning (FL) enables collaborative model training across distributed clients while keeping data local. A central challenge is determining which client updates are benefi…
Group Equivariant Diffusion for Anomaly Detection in Computational Cytology
Swarnadip Chatterjee, Ssharvien Kumar Sivakumar, Anirban Mukhopadhyay
Computational cytology on whole-slide images is challenging because malignant cells are rare, heterogeneous, and annotated slides are scarce. Anomaly detection frameworks can be tr…
SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation
Ssharvien Kumar Sivakumar, Akwele Johnson, Anirudh Dhingra +3
Realistic surgical simulation plays a crucial role in training novice surgeons and in the development of autonomous agents. World models can scale such simulation environments to r…