Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready

Nassir Navab is a professor of computer-aided medical procedures and augmented reality in TU Munich. His work involves developing technologies to improve the quality of medical intervention and bridges the gap between medicine and computer science.After studying mathematics and physics, computer engineering and systems control, Prof. Navab did his doctorate at INRIA / Paris XI. He then did two years of postdoctoral research at MIT Media Laboratory in Cambridge, USA. Prior to becoming a full professor at TUM in 2003, Prof. Navab was a distinguished member of the technical staff at Siemens Corporate Research (SCR) in Princeton, USA. In 2006, he became a board member of MICCAI, the organizer of the world’s leading conference on medical image computing and computer assisted intervention. He is on the editorial board of many international journals, including IEEE TMI, MedIA and Medical Physics. Prof. Navab has authored hundreds of scientific publications and has filed over 60 international patents.

Francesco Ciompi is an Associate Professor and Research Group Leader in AI for Precision Medicine at the Department of Pathology of Radboud University Medical Center in Nijmegen, the Netherlands. His main research focus is AI for precision medicine in the area of pathology, with applications to discovery and implementation of predictive and prognostic biomarkers in immuno oncology, and computer aided diagnosis for large-scale digital pathology and multi-modal data.

Miguel Angel Gonzalez Ballister is a professor at the Universitat Pompeu Fabra in Barcelona, where he founded the famous Barcelona Centre for New Medical Technologies, BCN Medtech. Miguel has more than 400 publications in peer-reviewed scientific journals and conferences, and has supervised 20+ PhD theses. 

Sophia Bano is an associate professor in Robotics and Artificial Intelligence in the Department of Computer Science, University College London. Sophia is doing award winning research on medical robotics, and organizing IPCAI 25 and 26.

Bisesh Khanal is the director of NAAMII Nepal and founder of Abhinavnepal. Bisesh did his PhD in INRIA Sophia Antipolis and PostDoc in London. His dream is to bring world class AI research in Nepal.

Awesome NCANCA 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

 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 following books 1. Surgical Patient Care2. Human Factors in SurgeryJbara Innovation

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.