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Donnerstags-Fortbildung: Second Zurich Machine Intelligence in Clinical Neuroscience Symposium

Machine Vision: Perspectives on the Future of Perception

Wichtig: Einlass gemäss 3G-Regel
Bei Kursen, Kongressen und Vorlesungen in USZ-Räumen müssen die Teilnehmenden neu zusätzlich zu den bestehenden Massnahmen ein gültiges COVID-Zertifikat vorweisen.

Standort

Hybrid

University Hospital Zurich
Auditorium Monakow (HAL A 34)

Datum

20.01.2022

Uhrzeit

9.00 am - 5.20 pm UTC +1 (Zurich)

Credits

8 SGNC

Kosten

Free of charge

Program

9.00 am Welcome
Prof. Luca Regli, Dr. Carlo Serra, MICN Lab, Neurosurgery University Hospital Zurich (CH)
Session I: Basics
Session Chair: Prof. Victor X.D. Yang (Toronto, ON, Canada)
Moderators: Victor Staartjes, Dr. Carlo Serra
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
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
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

  • Ron Kikinis (Boston, MA, USA)
  • Tom Vercauteren (London, UK)
  • Gabriel Zada (Los Angeles, CA, USA)
  • Ingo Scholtes (Zurich, CH)
  • Victor Yang (Toronto, ON, USA)
  • Antonio Di Ieva (Sydney, AU)
  • Suman Saha (Zurich, CH)
  • Colin Compas (Nashville, TN, USA)
  • Simon Hecker (Zurich, CH)
  • Gustav Burström (Stockholm, SE)
  • Antonios Thanellas (Helsinki, FI)
  • Tristan van Doormaal (Zurich, CH)
  • Julius Kernbach (Aachen, DE)
  • Christopher Rösel (Aachen, DE)
  • Marc Ungeheuer (Aachen, DE)
  • Friedrich Reinhardt (Kuzikus, NAM)

Registration & Participation

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.

Kontakt

Igea Cesarano

Tel. +41 44 255 88 19

Verantwortlicher Fachbereich

Klinik für Neurologie