• 16th June 2022, 13:00 onward. The final seminar (in-person/hybrid). We will present the most important results of the KUBIAC project, concentrating on pilots. Coffee will be served.
    • Program:
      • 13:00 – 13:20 Jussi Tohka: Educational and networking events of KUBIAC (and few words about the future)
      • 13:20 – 13:35 Olivier Rukundo: Pilot 1: Automatic segmentation of adenoviruses from MiniTEM images
      • 13:35 – 13:50: Riccardo De Feo: Pilot 2: Automatic segmentation of mouse brain MRIs with MU-Net
      • 13:50 – 14:05 Riccardo De Feo: Pilot 3: Segmentation of intracranial aneurysms – The ADAM challenge
      • 14:05 – 14:20:  Raimo Salo: BIDS data structure in Kuopio Biomedical Imaging Unit – A necessity for re-using the animal imaging data
      • 14:20 – 14:40 Coffee and discussion
      • 14:40 onward: Steering group meeting
  • May 17 and 24 2022 (9 – 14): KUBIAC will organize a course on brain image analysis (webinar). It will consist of 8 hours of lectures on the basics of brain image analysis concentrating on human and animal MRI.  We realize that this will be packed, so there will be a lot of self-study material in addition to lectures/demonstrations.
  • April 27 2022 (14 – 16): Big data in medical imaging.  New innovations in artificial intelligence/machine learning combined with the possibility to utilize imaging data in PACS systems of the hospitals for their training is thought to be transformative for healthcare. At the same time, new AI-based tools are urgently needed in clinic to cope with increasing volume of imaging. However, there are several hurdles related to both legal (incl. contractual/ethical/privacy) and technical aspects of the implementation/training of AI (annotation of the data, computation).  In this webinar, we host several experts discussing the possibilities and difficulties in Big Medical Imaging Data.
    • Program:
      • 14:00 – 14:05 Opening and welcome
      • 14:05 – 14:30: Juha Pajula,  VTT for Smart Health Technologies, “Health data utilization challenges: legislation, data security and researcher access”
      • 14:30 – 14:55 Sami Väänänen, “How a radiological image dataset is delivered to researcher in Kuopio University Hospital? ” Kuopio University Hospital and University of Eastern Finland,
      • 14:55  – 15:20 Patrik Pollare, AIdoc, ” Value contribution of automatic image analysis within radiology for acute and time-sensitive findings”
      • 15:20  – 15:45 Harri Pölönen,  VTT,  “Practical experiences on training huge GAN networks”
      • 15:45 – 16:10 Sampsa Lohi , Kuopio University Hospital, “Collaborative, web-based annotation of medical imaging data”
  • 26 January 2022 14 – 16. Image analysis in cancer research and clinical practice – Webinar/online networking event. 
    •  Novel imaging techniques and image analysis methods are transforming oncology and cancer research.  In this webinar, we will hear from the experts in development and application of novel image analysis tools for cancer research. The webinar will be held on Zoom.  Please register here to get an email link to the webinar. The link will be sent day before the webinar.
    • Program:
      • 14.00 – 14.05 Opening and welcome
      • 14.05 – 14.35. Dr. Ivan Jambor. University of Turku and  Yale University School of Medicine: ” Modeling of Diffusion Weighted Imaging of Prostate Cancer”.
      • 14.35 – 15.05. Dr. Pekka Ruusuvuori. University of Turku. “Towards AI-enabled computational pathology”
      • 15.05 – 15.35 Raju Gudhe, University of Eastern Finland. ” Explainable deep learning models in breast cancer image analysis”
      • 15.35 – 16.00  Auni Lindgren, Kuopio University Hospital, “Imaging in Ovarian Cancer”
    • Register here (free-of-charge)
  • 6th,7th, 12th, 14th October 2021 15:30: MICCAI highlights vlog. KUBIAC will present highlights of the MICCAI 2021  conference.  Joins us on Teams:

October 6th, 3 PM

October 7th, 3 PM

October 12th, 3 PM

October 14th, 3PM 

  • 11th October and 14th October (10 – 14) 2021: Short course on evaluation of machine learning algorithms.
    • Data driven research  has seen strongly growing interest in biomedicine in recent years.  This development is thanks to the increase in data availability as well as to advances in artificial intelligence and machine learning research and access to computational resources. Highly promising research examples are published daily. However, at the same time, there are some unrealistic, often overly optimistic, expectations and assumptions with regard to the development, validation and acceptance of such methods. Reliable, objective, and generalisable validation and performance assessment of developed data-analysis methods is one particular pain-point. This online short-course, based on a recent tutorial article, tries to build an understanding of the basic principles of the performance evaluation with lectures and hands-on demonstrations, with a focus to imaging applications.
    • Detailed description
    • Registration (free-of-charge)
  • 14th June and 17th June (10 – 13) 2021: Hands-on convolutional neural networks for image analysis
    • During this course we will introduce the theory of convolutional neural networks and demonstrate their implementation. We will start from toy examples of image classification during which we will introduce the PyTorch framework. In the second lesson, we will follow up with an application in medical imaging segmentation in rat brain MRI, starting from freely available data and ending with a trained neural network. While this course assumes students are familiar with the python language, every implementation step is explained in detail.
    • Detailed description
    • Registration (free-of-charge)
  • 17th and 24th May 2021: Introduction to Data Analysis in Python – continued learning online-course (free-of-charge, to the participants of the Data Analysis in Python online course)
    • Please note that the slides and recordings are available by inquiry (send email to Jussi Tohka)
  • 15th and 22nd March 2021: Introduction to Data-Analysis in Python online course (free-of-charge, a limited number of participants from the target groups).
    • Please note that the slides and recordings are available by inquiry (send email to Jussi Tohka)
  • 2nd December 2020 14.00 – 16.00: Biomedical Image Analysis – Perspectives to method development – Webinar/Online networking event
    • Program
    • Registration
    • We will hear perspectives to biomedical image analysis method development – from companies, research organizations and the universities. Target applications include preclinical ocular research, diagnostic decision support systems, and quantitative biology. We have an outstading line-up of speakers illuminating key challenges from various viewpoints. We are living truly intriguing times for biomedical image analysis, which, powered by recent advances in AI has become a central tool in several application areas also outside the academia. Welcome!
  • 9th and 16th November 2020: Introduction to Data-Analysis in Python online course (free-of-charge, a limited number of participants from the target groups).
  • Details and registration.   
    • Please note that the slides and recordings are available by inquiry (send email to Jussi Tohka)
  • 23rd September 2020 Health Forum Co-creation – New Digital Solutions for Healthcare
  • 14th May 2020 12.00 – 14.30.  (Moved from April due to coronavirus situation) Deep Learning  for Medical and Industrial Imaging.  An online seminar/networking event organized by KUBIAC in collaboration with Computational Physics and Inverse Problems group at UEF.
  • 10th Feb 2020: Training: “Validation in machine learning” at Kuopio University Hospital. Material available at the material page.
  • 7th Feb 2020: Training “Machine learning in medical imaging” at the Imaging Center of Kuopio University Hospital.  Material available at the material page.
  • 11th Dec 2019: Training “AI/ML in bioimaging” at FinVector
  • 21st Nov 2018: The first meeting of the steering group of the project
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