Neural Cellular Automata Background
• Growing Neural Cellular Automata (Mordvintsev et al.)
https://distill.pub/2020/growing-ca/?ref=https://githubhelp.com
NCA High Resolution Medical Image Segmentation Networks
• MED-NCA: Bio-inspired medical image segmentation (Kalkhof et al.)
https://www.sciencedirect.com/science/article/pii/S1361841525001483
• Med-NCA: Robust and lightweight segmentation with neural cellular automata (Kalkhof et al.)
https://arxiv.org/pdf/2302.03473
• M3D-NCA: Robust 3D segmentation with built-in quality control (Kalkhof et al.)
https://arxiv.org/pdf/2309.02954
NCA for Medical Image Registration
• NCA-Morph: Medical image registration with neural cellular automata (Ranem et al.)
https://arxiv.org/pdf/2410.22265
Efficient NCA Inference
• OctreeNCA: Single-pass 184 MP segmentation on consumer hardware (Lemke et al.)
https://arxiv.org/pdf/2508.06993
• eNCApsulate: NCA for precision diagnosis on capsule endoscopes (Krumb et al.)
https://arxiv.org/pdf/2504.21562
Edge & Federated Learning with NCA
• Unsupervised training of neural cellular automata on edge devices (Kalkhof et al.)
https://arxiv.org/pdf/2407.18114
• Equitable federated learning with NCA (Lemke and Konstantin et al.)
https://arxiv.org/pdf/2506.21735
Jakob Wasserthal, a researcher of Medical AI, located in the University Hospital Basel, Switzerland. Jakob is well-known for his TotalSegmentator.
Web: https://totalsegmentator.com/
GitHub: https://github.com/wasserth/TotalSegmentator
Paul Barach, an anesthesiologist and critical care physician-scientist as well as public health researcher from Thomas Jefferson University, USA. Paul is translating research into strategies for patient safety and health protection. He has more than 25 years of experience as a practicing physician and physician executive in the military and in academic medical centers. Paul has written the book "Human Factors in Surgery".
Jens Kleesiek is a Professor of Translational Image-guided Oncology in the university hospital Essen. The Focus of Jens’s research is on applying self-supervised and weakly supervised learning paradigms to recognize clinically relevant patterns in large and complex data and the integration of multimodal data sources to enhance the decision-making process at the point of care.
Ghazal Ghazei, a research scientist in Karl Zeiss GmbH. She is focusing on medical AI for eye diagnostics and surgery applications.
Aleksei Tiulpin is an Assistant Professor at the University of Oulu, Finnland and soon to be a professor in Cornell, USA. Aleksei focuses on Intelligent Medical Systems, and develops new machine learning methods for medical applications.
Pingkun Yan is a full professor at the Department of Biomedical Engineering at Rensselaer Polytechnic Institute (RPI), USA. Before joining RPI, he was a Senior Scientist of Philips Research working at the clinical site at the National Institutes of Health (NIH). His research focuses on translational medical imaging informatics and image-guided intervention.
Marco Lorenzi is a research scientist in the EPIONE team of Inria Sophia Antipolis and Université Côte d’Azur, France. Marco's research is on the study of statistical learning methods to model heterogeneous data in biomedical applications. His group has developed the FedBioMed framework.
Ehsan Adeli is an Assistant Professor from Stanford University, directing the Stanford Translational AI (STAI) in Medicine and Mental Health Lab. Ehsan is also a Co-Director of Stanford AGILE Consortium.
Developing ICU Clinical Behavioral Atlas Using Ambient Intelligence and Computer Vision
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
Often as professional scientists who publish for a living, we have to face the question of novelty. As the questions we ask are often living in the liminal space of technology, clinical practice and social norms, it's not an easy task to determine what really novelty is. Yet if you take the comments of reviewers seriously as an early career researcher, you might get an imposter syndrome that everyone but you clearly understands what novelty is. We will have a deep discussion about how we can contextualize novelty within AI-READY Healthcare.
Veronika Cheplygina is an associate professor in the IT university of Copenhagen. She is focusing on making medical AI more open & inclusive. Veronika also does a series of interviews with researchers called "How I Fail".
Copycats: the many lives of a publicly available medical imaging dataset
Karim Lekadir is an ICREA Research Professor in the Department of Mathematics and Computer Science at the University of Barcelona. He investigates new data science techniques for trustworthy and ethical artificial intelligence in medicine. He has been PI of many EU-funded projects, and was awarded an ERC Consolidator grant to investigate new AI techniques for resource-limited settings. Karim was the General Chair for the MICCAI 2024, that happened in Morocco.
Zhongliang Jiang is leading the Robotics and Ultrasound Team at TU Munich, Germany. His research spans over medical robotics, robot learning, control and robotic ultrasound. Zhongliang's YouTube channel
Linda Johnson is an associate professor on cardiovascular research at the Lund university, Sweden.
Artificial intelligence for direct-to-physician reporting of ambulatory electrocardiography
Mauricio Reyes is a professor at the ARTORG center in the university of Bern, Switzerland. Beyond pure academic research, Mauricio is quite successful in translational research. He co-founded Crisalix and got the first FDA-approval on AI for brain tumor patients. Mauricio is deeply interested in communicating science and technology to the broader audience.
Daniel Truhn is a physicist, imaging scientist, and clinical radiologist with a dedicated focus on machine learning and MRI. He is currently a professor in University Hospital Aachen, Germany bringing a series of work on Large Language Models for Radiology reporting.
Drew Williamson is a board certified pathologist who is focusing on pathology AI. Drew is part of the Emory Empathetic AI for Health Institute and the AI.Humanity initiative at Emory University, Atlanta, USA. We will hear all about his exciting research on clinical translation of Pathology AI.
Jayashree kalpathy Cramer is the chief of the Division of Artificial Medical Intelligence in Ophthalmology at the University of Colorado (CU) School of Medicine. Jayashree is focusing on translational artificial intelligence (AI) for effective patient care practices at the Sue Anschutz-Rodgers Eye Center.
Professor Randy Ellis is a legendary figure within the computer-assisted orthopedic surgery community. His primary appointment is in the School of Computing with additional appointments at the Mechanical and Materials Engineering, Surgery, and Biomedical and Molecular Sciences at the Queen's University, Canada. He has been a Fellow of several organizations such as IEEE, American Society for Mechanical Engineering (ASME) etc.
Uta Schmidt-Strassburer is the scientific director of the Advanced Oncology study program at the Ulm university Germany. She is also a fellow podcaster, running the bilingual "caring and sharing" podcast on advanced oncology. Over the years, Uta has developed a critical appreciation towards oncology AI.
