Machine Vision: Perspectives on the Future of Perception
Hybrid
University Hospital Zurich
Auditorium Monakow (HAL A 34)
20.01.2022
9.00 am - 5.20 pm UTC +1 (Zurich)
8 SGNC
Free of charge
| 9.00 am | Welcome Prof. Luca Regli, Dr. Carlo Serra, MICN Lab, Neurosurgery University Hospital Zurich (CH) |
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| Session I: Basics Session Chair: Prof. Victor X.D. Yang (Toronto, ON, Canada) Moderators: Victor Staartjes, Dr. Carlo Serra |
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| 9.10 am | Introduction to Supervised and Unsupervised Learning Prof. Ingo Scholtes, Chair of Machine Learning for Complex Networks, University of Würzburg (DE), University of Zurich (CH) |
| 9.40 am | Handling Neuroimaging Data for Machine Learning Dr. Antonios Thanellas, Helsinki University Hospital (FI) |
| 10.00 am | Unsupervised Pattern Discovery in Large-Scale Imaging Data Dr. Julius Kernbach, RWTH Aachen University Hospital (DE) |
| 10.20 am | Computational Fractal-Based Analysis and Radiomics of Brain Tumors Prof. Antonio Di Ieva, Computational NeuroSurgery (CNS) Lab, Macquarie University (AU) |
| 10.40 am | Machine Vision for Wildlife Surveillance in Namibia Marc Ungeheuer, Wild Intelligence Lab; Christopher Rösel, RWTH Aachen University (DE); Dr. Friedrich Reinhardt, Kuzikus Reserve (NAM) |
| 11.10 am | Keynote Session: Current Applications of Machine Vision Prof. Tom Vercauteren, King’s College London (UK) |
| 12.00 noon | Lunch Break |
| Session II: Machine Vision Session Chair: Prof. Ender Konukoglu (Zurich, Switzerland) Moderators: Dr. Carlo Serra, Victor Staartjes |
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| 1.00 pm | Autonomous Driving with Motorcycles Dr. Simon Hecker, Aegis Rider (CH) |
| 1.20 pm | Spoofing Attack Detection Dr. Suman Saha, Computer Vision Lab (CVL), ETH Zurich (CH) |
| 1.40 pm | Leveraging Federated Learning to Overcome the Challenges of Developing AI in Healthcare Dr. Colin Compas, NVIDIA Corporation (USA) |
| 2.00 pm | Keynote Session: History and Evolution of Machine Vision in Medical Imaging Prof. Ron Kikinis, Harvard Medical School (USA) |
| 2.50 pm | Lunch Break |
| Session III: Clinical Applications of Machine Learning Session Chair: Prof. Luca Regli (Zurich, Switzerland) Moderators: Dr. Carlo Serra |
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| 3.30 pm | Automated Intraoperative Anatomical Recognition Victor Staartjes, MICN Laboratory, Neurosurgery, University Hospital Zurich (CH) |
| 3.50 pm | Machine Learning in Pituitary Surgery Prof. Gabriel Zada, University of Southern California (USA) |
| 4.20 pm | Combining Machine Learning and Augmented Reality Prof. Tristan van Doormaal, Neurosurgery University Hospital Zurich (CH) |
| 4.40 pm | Hyperspectral imaging and machine learning during tumor surgery Dr. Gustav Burström, Clinical Neuroscience, Karolinska Institute (SE) |
| 5.10 pm | Closing Remarks Prof. Luca Regli, Dr. Carlo Serra, MICN Lab, Neurosurgery University Hospital Zurich (CH) |
Director
Luca Regli
Organizers
Ender Konukoglu, Victor Staartjes, Carlo Serra
Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery & Clinical Neuroscience Center, University Hospital Zurich, University of Zurich
Invited Faculty
The event will be held in a hybrid format: Online over Zoom and at the Monakow Auditorium at the University Hospital Zurich. You will receive the Zoom link and further information in time and after registering using the abovementioned form. On-site participation is restricted to employees of the USZ, UZH, and ETH, as well as invited guests. A recording of the symposium will be made available on the MICN Lab website.