@SystemHolistic

Targeting numerous applications in the field of sports and medicine

 Oslo, Norway
simulamet.no/
Joined February 2020
  • Tweets22
  • Following113
  • Followers44
Department of Holistic Systems (HOST), SimulaMet retweeted
Michael Alexander Riegler@kelkalot1 Feb 2021
Today we kicked off the explainable AI Norway community. A lot of great people and interesting discussion lie ahead. Stay tuned 😀 #XAI #Norway #AI
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Department of Holistic Systems (HOST), SimulaMet retweeted
Debesh Jha@debesh_jha8 Jan 2021
Our new research paper " LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification" is recently published at PDCAT-PAAP2020. deepai.org/publication/light…

DeepAI

Artificially intelligent tools for naturally creative humans.

deepai.org
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Our paper on Comprehensive Study on Colorectal Polyp Segmentation is recently published in the IEEE Journal of Biomedical and Health Informatics: ieeexplore.ieee.org/stamp/st… @IEEE_JBHI #deeplearning #colonoscopy #polypsegmentation #medicine #ArtificialIntelligence
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Department of Holistic Systems (HOST), SimulaMet retweeted
Department of Holistic Systems (HOST), SimulaMet@SystemHolistic6 Sep 2020
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. multimediaeval.github.io/edi…

Medico

See the MediaEval 2020 webpage for information on how to register and participate.

multimediaeval.github.io
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Department of Holistic Systems (HOST), SimulaMet retweeted
Simula Research Laboratory@simula_research11 Sep 2020
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. simula.no/sites/default/file…
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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. multimediaeval.github.io/edi…

Medico

See the MediaEval 2020 webpage for information on how to register and participate.

multimediaeval.github.io
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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. nature.com/articles/s41597-0… #endoscopy #colonoscopy #medicine #ArtificialIntelligence
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Department of Holistic Systems (HOST), SimulaMet retweeted
Michael Alexander Riegler@kelkalot28 Aug 2020
The paper describing one of our biggest datasets so far is now published: nature.com/articles/s41597-0… Hopefully it will inspire people to create reproducible and shareable research in #AI and #Medicine Blogpost: researchdata.springernature.… #GI #MachineLearning

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Scientific Data - HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

nature.com
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Department of Holistic Systems (HOST), SimulaMet retweeted
Hanna Borgli@BorgliHanna7 Jan 2020
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 (osf.io/mh9sj/) is the most popular project on their site.
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Department of Holistic Systems (HOST), SimulaMet retweeted
Debesh Jha@debesh_jha16 Aug 2020
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
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The registration for the "Medico automatic polyp segmentation challenge" is open. Please feel free to register to participate by filling the registration form. docs.google.com/forms/d/e/1F… #deeplearning #computervision #machinelearning #medicalimaging #datascience #colonoscopy

MediaEval 2020 Task Registration

Register here to participate in the MediaEval 2020 Multimedia Evaluation Benchmark. On the MediaEval 2020 webpage https://multimediaeval.github.io/editions/2020 you can find a brief description of...

docs.google.com
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Department of Holistic Systems (HOST), SimulaMet retweeted
Debesh Jha@debesh_jha30 Jul 2020
The Medico Challenge 2020 is open. We invite you to participate. multimediaeval.github.io/edi… #medicalimaging #colonoscopy #imagesegmentation #endoscopy #machinelearning #deeplearning #benchmarking #challenge #mlchallenge #100DaysOfMLCode #TensorFlow #DataScience

Medico

See the MediaEval 2020 webpage for information on how to register and participate.

multimediaeval.github.io
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Our paper entitled "DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation" has been accepted at CBMS 2020. #deeplearning #computervision #segmentation #colonoscopy
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Department of Holistic Systems (HOST), SimulaMet retweeted
Michael Alexander Riegler@kelkalot11 May 2020
Our paper on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification is now available via arxiv.org/abs/2005.03912 #MachineLearning #Colonoscopy #AI

An Extensive Study on Cross-Dataset Bias and Evaluation Metrics...

Precise and efficient automated identification of Gastrointestinal (GI) tract diseases can help doctors treat more patients and improve the rate of disease detection and identification. Currently,...

arxiv.org
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Department of Holistic Systems (HOST), SimulaMet retweeted
Springer Nature
@SpringerNature25 Mar 2020
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: springer.com/gp/open-access/…
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Department of Holistic Systems (HOST), SimulaMet retweeted
NORA.ai@NORAdotAI31 Mar 2020
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 nora.ai/news-and-events/news…
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Department of Holistic Systems (HOST), SimulaMet retweeted
Debesh Jha@debesh_jha24 Mar 2020
Our paper entitled " Robust Medical Instrument Segmentation Challenge 2019" is now online. xitter.cf/Deep__AI/status/124250…
DeepAI
@DeepAI24 Mar 2020
Robust Medical Instrument Segmentation Challenge 2019 deepai.org/publication/robus… by Tobias Ross et al. including @debesh_jha #ComputerVision #PatternRecognition

DeepAI

Artificially intelligent tools for naturally creative humans.

deepai.org
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Department of Holistic Systems (HOST), SimulaMet retweeted
Michael Alexander Riegler@kelkalot28 Feb 2020
All good things are three :) Toadstool-A Dataset for Training Emotional Intelligent Machines is out now! Dataset: osf.io/qrkcf/ Pre-print: osf.io/4v9mp/ #opendatasets #osf #machinelearning #supermariobros #openaigym @SystemHolistic @simula_research @OsloMetAI
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Department of Holistic Systems (HOST), SimulaMet retweeted
Michael Alexander Riegler@kelkalot28 Feb 2020
Dataset week 😀Our second new dataset on sport sensor data is ready to be used! It is part of ImageClef 2020. Dataset: osf.io/vx4bk/ Pre-print: osf.io/k2apb/ #opendatasets #sport #osf #machinelearning @SystemHolistic @simula_research @OsloMetAI @imageclef

PMData: A Sports Logging Dataset

In this dataset, we present the PMData dataset that aims to combine the traditional lifelogging with sports activity logging. Such a dataset enables development of several interesting analysis...

osf.io
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Department of Holistic Systems (HOST), SimulaMet retweeted
Brundage Bot@BrundageBot19 Nov 2019
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 arxiv.org/abs/1911.07067

ResUNet++: An Advanced Architecture for Medical Image Segmentation

Accurate computer-aided polyp detection and segmentation during colonoscopy examinations can help endoscopists resect abnormal tissue and thereby decrease chances of polyps growing into cancer....

arxiv.org
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