Department of Holistic Systems (HOST), SimulaMet

Targeting numerous applications in the field of sports and medicine

[Michael Alexander Riegler @kelkalot]

Today we kicked off the explainable AI Norway community. A lot of great people and interesting discussion lie ahead. Stay tuned 😀 #XAI #Norway #AI

[Debesh Jha @debesh_jha]

Our new research paper " LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification" is recently published at PDCAT-PAAP2020.
https://t.co/voqjvXEG7a

[Department of Holistic Systems (HOST), SimulaMet @SystemHolistic]

Our paper on Comprehensive Study on Colorectal Polyp Segmentation is recently published in the IEEE Journal of Biomedical and Health Informatics:
https://t.co/B6dSBr0Bgf
@IEEE_JBHI
#deeplearning #colonoscopy #polypsegmentation #medicine #ArtificialIntelligence

[Department of Holistic Systems (HOST), SimulaMet @SystemHolistic]

We have now released the test dataset for the "Medico automatic polyp segmentation challenge". For more information please have a look at the challenge page.
https://t.co/I9dujT5h8Q

[Simula Research Laboratory @simula_research]

Simula har undersøkt teknologi for digital smittesporing og konkludert med at det er vanskelig å finne løsninger som er gode både på smittesporing, kunnskapsinnhenting og personvern.

https://t.co/eyJI5E0Z1U

[Department of Holistic Systems (HOST), SimulaMet @SystemHolistic]

We have now released the test dataset for the "Medico automatic polyp segmentation challenge". For more information please have a look at the challenge page.
https://t.co/I9dujT5h8Q

[Department of Holistic Systems (HOST), SimulaMet @SystemHolistic]

We have recently released the largest dataset so far in the field of gastrointestinal endoscopy. It consists of 110,079 images and 374 videos. Our paper is recently published at Scientific data.
https://t.co/uWZBOb8MC9
#endoscopy #colonoscopy #medicine #ArtificialIntelligence

[Michael Alexander Riegler @kelkalot]

The paper describing one of our biggest datasets so far is now published: https://t.co/6mwKwYxQaR Hopefully it will inspire people to create reproducible and shareable research in #AI and #Medicine Blogpost: https://t.co/By5rfwtbEk #GI #MachineLearning

[Hanna Borgli @BorgliHanna]

We recently submitted #HyperKvasir to @ScientificData, a #dataset of images and videos from the #gastrointestinal tract - the largest openly available of its kind. Today, our dataset hosted at @OSFramework (https://t.co/8D0rT3uEE6) is the most popular project on their site.

[Debesh Jha @debesh_jha]

We have recently released the "kvasir-Instrument" dataset, which contains 590 images, ground truth information, and generated masks for developing a computer-aided diagnostic system for endoscopic surgery.
#colonoscopy #endoscopy #MachineLearning #ArtificialInteligence

[Department of Holistic Systems (HOST), SimulaMet @SystemHolistic]

The registration for the "Medico automatic polyp segmentation challenge" is open. Please feel free to register to participate by filling the registration form.
https://t.co/faDzPQP4wz
#deeplearning #computervision #machinelearning #medicalimaging #datascience #colonoscopy

[Debesh Jha @debesh_jha]

The Medico Challenge 2020 is open. We invite you to participate.

https://t.co/705vMlvEkI

#medicalimaging #colonoscopy #imagesegmentation #endoscopy #machinelearning #deeplearning #benchmarking #challenge #mlchallenge #100DaysOfMLCode #TensorFlow #DataScience

[Department of Holistic Systems (HOST), SimulaMet @SystemHolistic]

Our paper entitled "DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation" has been accepted at CBMS 2020.

#deeplearning #computervision #segmentation #colonoscopy

[Michael Alexander Riegler @kelkalot]

Our paper on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification is now available via https://t.co/yBpZ1Std33 #MachineLearning #Colonoscopy #AI

[Springer Nature @SpringerNature]

Norway has an open access (OA) publishing agreement with Springer Nature. This means authors from participating institutions can publish OA in more than 1,850 Springer journals without paying an article processing charge (APC). Check your eligibility: https://t.co/DcB0WtlgQF

[NORA.ai @NORAdotAI]

Together with the Norwegian Institute of Public Health, Simula has developed a voluntary app that can reduce the time needed to track the spread of Covid-19😷📱 @simula_research @Folkehelseinst #COVID19 https://t.co/xwd4L7G1Ce

[Debesh Jha @debesh_jha]

Our paper entitled " Robust Medical Instrument Segmentation Challenge 2019" is now online.

https://t.co/AJSvuq0YC4

[Michael Alexander Riegler @kelkalot]

All good things are three :) Toadstool-A Dataset for Training Emotional Intelligent Machines is out now!

Dataset: https://t.co/vJoNp4puIG
Pre-print: https://t.co/8c08evU02H
#opendatasets #osf #machinelearning #supermariobros #openaigym @SystemHolistic @simula_research @OsloMetAI

[Michael Alexander Riegler @kelkalot]

Dataset week 😀Our second new dataset on sport sensor data is ready to be used! It is part of ImageClef 2020.

Dataset: https://t.co/TIenK7umPn
Pre-print: https://t.co/BNrRrghJU6

#opendatasets #sport #osf #machinelearning
@SystemHolistic @simula_research @OsloMetAI @imageclef

[Brundage Bot @BrundageBot]

ResUNet++: An Advanced Architecture for Medical Image Segmentation. Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pal Halvorsen, and Havard D. Johansen https://t.co/VxsuWw8MH7