The authors of the paper that won best paper at CVCS 2022. From the right: Srishti Gautam, Suaiba Salahuddin and Stine Hansen.
Image:
Harald Lykke Joakimsen, SFI Visual Intelligence

The authors of the paper that won best paper at CVCS 2022. From the right: Srishti Gautam, Suaiba Salahuddin and Stine Hansen.

Best paper award to Visual Intelligence trio at the CVCS 2022 conference

Suaiba Salahuddin, Stine Hansen, and Sristhi Gautam won the best paper award at the 11th Color and Visual Computing Symposium, Sept. 8-9, 2022!

Best paper award at CVCS 2022

Suaiba Salahuddin, Stine Hansen, and Sristhi Gautam won the best paper award at the 11th Color and Visual Computing Symposium, Sept. 8-9, 2022!

The paper was entitled "A self-guided anomaly detection-inspired few-shot segmentation network".

The work describes a new approach for automatically finding (segmenting) organs in medical imagery such as MRI and is based on deep learning. The new method can work even in scenarios where the neural network is presented with extremely little annotated data. A major component is self-training, in the sense of creating pseudo-annotations for use in the so-called few shot training process of the network, as well as a self-guiding element to make as few errors as possible.        

Suaiba Salahuddin says in a comment:

-It was an amazing research opportunity to collaborate on my first paper with Stine Hansen and Srishti Gautam under the supervision of Michael Kampffmeyer and Robert Jenssen.

-I am privileged to have helped contribute towards critical medical AI challenges such as limited data. I am honoured and motivated to pursue further high-quality research having received the CVCS award!

The diploma for best paper that Suaiba recieved.

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