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Martinos Center for Biomedical Imaging"],"nameIdentifiers":[{"nameIdentifier":"0000-0001-8906-9618","nameIdentifierScheme":"ORCID"}]},{"name":"Greg Zaharchuk","nameType":"Personal","familyName":"Greg Zaharchuk","affiliation":["Stanford University"],"nameIdentifiers":[{"nameIdentifier":"0000-0001-5781-8848","nameIdentifierScheme":"ORCID"}]},{"name":"Roland Wiest","nameType":"Personal","familyName":"Roland Wiest","affiliation":["University Hospital of Bern","University of Bern"],"nameIdentifiers":[{"nameIdentifier":"0000-0001-7030-2045","nameIdentifierScheme":"ORCID"}]},{"name":"Mauricio Reyes","nameType":"Personal","familyName":"Mauricio Reyes","affiliation":["University of Bern"],"nameIdentifiers":[{"nameIdentifier":"0000-0002-2434-9990","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI"},{"lang":"ara","title":"ISLES 2016 و 2017 - التنبؤ بنتيجة آفة السكتة الدماغية الإقفارية بناءً على التصوير بالرنين المغناطيسي متعدد الأطياف","titleType":"TranslatedTitle"},{"lang":"fra","title":"ISLES 2016 et 2017 - Analyse comparative des résultats des lésions ischémiques par accident vasculaire cérébral basée sur l'IRM multispectrale","titleType":"TranslatedTitle"},{"lang":"spa","title":"ISLES 2016 y 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI","titleType":"TranslatedTitle"}],"publisher":"OpenAlex","container":{},"publicationYear":2018,"subjects":[{"subject":"Classification of Brain Tumor Type and Grade"},{"subject":"Neurology"},{"subject":"Neuroscience"},{"subject":"Life Sciences"},{"subject":"Epidemiology and Management of Stroke"},{"subject":"Epidemiology"},{"subject":"Medicine"},{"subject":"Health Sciences"},{"subject":"Automated Spine Segmentation and Identification"},{"subject":"Biomedical Engineering"},{"subject":"FOS: Medical engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Engineering"},{"subject":"Physical Sciences"},{"subject":"Spine Segmentation"},{"subject":"Benchmarking"},{"subject":"Benchmark (surveying)"},{"subject":"Comparability"},{"subject":"Convolutional neural network"},{"subject":"Computer science"},{"subject":"Deep learning"},{"subject":"Data set"},{"subject":"Outcome (game theory)"},{"subject":"Artificial intelligence"},{"subject":"Machine learning"},{"subject":"Set (abstract data type)"},{"subject":"Segmentation"},{"subject":"Data mining"},{"subject":"Data science"},{"subject":"Cartography"},{"subject":"Geography"},{"subject":"Mathematics"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Mathematical economics"},{"subject":"Combinatorics"},{"subject":"Marketing"},{"subject":"FOS: Economics and business","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Business"},{"subject":"Programming language"}],"contributors":[],"dates":[{"date":"2018-09-13","dateType":"Issued"}],"language":"en","types":{"ris":"RPRT","bibtex":"article","citeproc":"article-journal","schemaOrg":"ScholarlyArticle","resourceType":"","resourceTypeGeneral":"Text"},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.60692/7405r-ne176","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"v1","rightsList":[{"rights":"cc-by"}],"descriptions":[{"description":"Performance of models highly depend not only on the used algorithm but also the data set it was applied to. This makes the comparison of newly developed tools to previously published approaches difficult. Either researchers need to implement others' algorithms first, to establish an adequate benchmark on their data, or a direct comparison of new and old techniques is infeasible. The Ischemic Stroke Lesion Segmentation (ISLES) challenge, which has ran now consecutively for 3 years, aims to address this problem of comparability. ISLES 2016 and 2017 focused on lesion outcome prediction after ischemic stroke: By providing a uniformly pre-processed data set, researchers from all over the world could apply their algorithm directly. A total of nine teams participated in ISLES 2015, and 15 teams participated in ISLES 2016. Their performance was evaluated in a fair and transparent way to identify the state-of-the-art among all submissions. Top ranked teams almost always employed deep learning tools, which were predominately convolutional neural networks (CNNs). Despite the great efforts, lesion outcome prediction persists challenging. The annotated data set remains publicly available and new approaches can be compared directly via the online evaluation system, serving as a continuing benchmark (www.isles-challenge.org).","descriptionType":"Abstract"},{"lang":"ara","description":"لا يعتمد أداء النماذج بشكل كبير على الخوارزمية المستخدمة فحسب، بل يعتمد أيضًا على مجموعة البيانات التي تم تطبيقها عليها. وهذا يجعل مقارنة الأدوات المطورة حديثًا بالنهج المنشورة سابقًا أمرًا صعبًا. إما أن يحتاج الباحثون إلى تنفيذ خوارزميات الآخرين أولاً، لإنشاء معيار مناسب لبياناتهم، أو أن المقارنة المباشرة بين التقنيات الجديدة والقديمة غير ممكنة. يهدف تحدي تجزئة آفة السكتة الدماغية الإقفارية (ISLES)، الذي استمر الآن على التوالي لمدة 3 سنوات، إلى معالجة مشكلة قابلية المقارنة هذه. ركزت ISLES 2016 و 2017 على التنبؤ بنتائج الآفة بعد السكتة الدماغية الإقفارية: من خلال توفير مجموعة بيانات معالجة مسبقًا بشكل موحد، يمكن للباحثين من جميع أنحاء العالم تطبيق خوارزميتهم مباشرة. شارك ما مجموعه تسعة فرق في آيلز 2015، وشارك 15 فريقًا في آيلز 2016. تم تقييم أدائهم بطريقة عادلة وشفافة لتحديد أحدث ما توصلت إليه جميع التقديمات. لطالما استخدمت الفرق الأعلى تصنيفًا أدوات التعلم العميق، والتي كانت في الغالب شبكات عصبية تلافيفية (CNNs). على الرغم من الجهود الكبيرة، لا يزال التنبؤ بنتائج الآفة يمثل تحديًا. تظل مجموعة البيانات المشروحة متاحة للجمهور ويمكن مقارنة الأساليب الجديدة مباشرة عبر نظام التقييم عبر الإنترنت، لتكون بمثابة معيار مستمر (www.isles-challenge.org).","descriptionType":"Other"},{"lang":"fra","description":"Les performances des modèles dépendent fortement non seulement de l'algorithme utilisé, mais également de l'ensemble de données auquel il a été appliqué. Cela rend difficile la comparaison des outils nouvellement développés avec les approches précédemment publiées. Soit les chercheurs doivent d'abord mettre en œuvre les algorithmes des autres, pour établir un point de référence adéquat sur leurs données, soit une comparaison directe des techniques nouvelles et anciennes est irréalisable. Le défi Ischemic Stroke Lesion Segmentation (ISLES), qui se déroule maintenant de manière consécutive depuis 3 ans, vise à résoudre ce problème de comparabilité. ISLES 2016 et 2017 se sont concentrées sur la prédiction des résultats des lésions après un AVC ischémique : en fournissant un ensemble de données prétraitées uniformément, des chercheurs du monde entier ont pu appliquer directement leur algorithme. Au total, neuf équipes ont participé à ISLES 2015 et 15 équipes ont participé à ISLES 2016. Leur performance a été évaluée de manière équitable et transparente afin d'identifier l'état de l'art parmi toutes les soumissions. Les équipes les mieux classées utilisaient presque toujours des outils d'apprentissage profond, qui étaient principalement des réseaux de neurones convolutifs (CNN). Malgré les grands efforts, la prédiction de l'issue de la lésion reste difficile. L'ensemble des données annotées reste accessible au public et de nouvelles approches peuvent être comparées directement via le système d'évaluation en ligne, servant de référence continue (www.isles-challenge.org).","descriptionType":"Other"},{"lang":"spa","description":"El rendimiento de los modelos depende en gran medida no solo del algoritmo utilizado, sino también del conjunto de datos al que se aplicó. Esto dificulta la comparación de las herramientas recientemente desarrolladas con los enfoques publicados anteriormente. O bien los investigadores necesitan implementar primero los algoritmos de otros, para establecer un punto de referencia adecuado en sus datos, o no es posible una comparación directa de técnicas nuevas y antiguas. El desafío Ischemic Stroke Lesion Segmentation (ISLES), que se ha desarrollado de forma consecutiva durante 3 años, tiene como objetivo abordar este problema de comparabilidad. ISLES 2016 y 2017 se centraron en la predicción del resultado de la lesión después de un accidente cerebrovascular isquémico: al proporcionar un conjunto de datos preprocesados de manera uniforme, investigadores de todo el mundo podrían aplicar su algoritmo directamente. Un total de nueve equipos participaron en ISLES 2015 y 15 equipos participaron en ISLES 2016. Su desempeño fue evaluado de manera justa y transparente para identificar el estado de la técnica entre todas las presentaciones. Los equipos mejor clasificados casi siempre empleaban herramientas de aprendizaje profundo, que eran predominantemente redes neuronales convolucionales (CNN). A pesar de los grandes esfuerzos, la predicción del resultado de la lesión sigue siendo un desafío. El conjunto de datos anotados sigue estando a disposición del público y los nuevos enfoques se pueden comparar directamente a través del sistema de evaluación en línea, que sirve como punto de referencia continuo (www.isles-challenge.org).","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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      <creatorName nameType="Personal">Pablo Arbelaezs</creatorName>
      <familyName>Pablo Arbelaezs</familyName>
      <affiliation>Universidad de Los Andes</affiliation>
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    <creator>
      <creatorName nameType="Personal">Oskar Maier</creatorName>
      <familyName>Oskar Maier</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0009-0009-0655-1405</nameIdentifier>
      <affiliation>University of Lübeck</affiliation>
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    <creator>
      <creatorName nameType="Personal">Ken Chang</creatorName>
      <familyName>Ken Chang</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0001-6956-5059</nameIdentifier>
      <affiliation>Athinoula A. Martinos Center for Biomedical Imaging</affiliation>
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      <creatorName nameType="Personal">James M. Brown</creatorName>
      <familyName>James M. Brown</familyName>
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      <affiliation>Athinoula A. Martinos Center for Biomedical Imaging</affiliation>
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    <creator>
      <creatorName nameType="Personal">Jayashree Kalpathy‐Cramer</creatorName>
      <familyName>Jayashree Kalpathy‐Cramer</familyName>
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      <affiliation>Athinoula A. Martinos Center for Biomedical Imaging</affiliation>
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    <creator>
      <creatorName nameType="Personal">Greg Zaharchuk</creatorName>
      <familyName>Greg Zaharchuk</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0001-5781-8848</nameIdentifier>
      <affiliation>Stanford University</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Roland Wiest</creatorName>
      <familyName>Roland Wiest</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0001-7030-2045</nameIdentifier>
      <affiliation>University Hospital of Bern</affiliation>
      <affiliation>University of Bern</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Mauricio Reyes</creatorName>
      <familyName>Mauricio Reyes</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0002-2434-9990</nameIdentifier>
      <affiliation>University of Bern</affiliation>
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  <titles>
    <title>ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI</title>
    <title titleType="TranslatedTitle" xml:lang="ara">ISLES 2016 و 2017 - التنبؤ بنتيجة آفة السكتة الدماغية الإقفارية بناءً على التصوير بالرنين المغناطيسي متعدد الأطياف</title>
    <title titleType="TranslatedTitle" xml:lang="fra">ISLES 2016 et 2017 - Analyse comparative des résultats des lésions ischémiques par accident vasculaire cérébral basée sur l'IRM multispectrale</title>
    <title titleType="TranslatedTitle" xml:lang="spa">ISLES 2016 y 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI</title>
  </titles>
  <publisher>OpenAlex</publisher>
  <publicationYear>2018</publicationYear>
  <resourceType resourceTypeGeneral="Text"/>
  <subjects>
    <subject>Classification of Brain Tumor Type and Grade</subject>
    <subject>Neurology</subject>
    <subject>Neuroscience</subject>
    <subject>Life Sciences</subject>
    <subject>Epidemiology and Management of Stroke</subject>
    <subject>Epidemiology</subject>
    <subject>Medicine</subject>
    <subject>Health Sciences</subject>
    <subject>Automated Spine Segmentation and Identification</subject>
    <subject>Biomedical Engineering</subject>
    <subject>Engineering</subject>
    <subject>Physical Sciences</subject>
    <subject>Spine Segmentation</subject>
    <subject>Benchmarking</subject>
    <subject>Benchmark (surveying)</subject>
    <subject>Comparability</subject>
    <subject>Convolutional neural network</subject>
    <subject>Computer science</subject>
    <subject>Deep learning</subject>
    <subject>Data set</subject>
    <subject>Outcome (game theory)</subject>
    <subject>Artificial intelligence</subject>
    <subject>Machine learning</subject>
    <subject>Set (abstract data type)</subject>
    <subject>Segmentation</subject>
    <subject>Data mining</subject>
    <subject>Data science</subject>
    <subject>Cartography</subject>
    <subject>Geography</subject>
    <subject>Mathematics</subject>
    <subject>Mathematical economics</subject>
    <subject>Combinatorics</subject>
    <subject>Marketing</subject>
    <subject>Business</subject>
    <subject>Programming language</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-09-13</date>
  </dates>
  <language>eng</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="oai">oai:gresis.org:gpvd3-twq08</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="Other">https://openalex.org/W2890354008</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.60692/7405r-ne176</relatedIdentifier>
  </relatedIdentifiers>
  <sizes/>
  <formats/>
  <version>v1</version>
  <rightsList>
    <rights>cc-by</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Performance of models highly depend not only on the used algorithm but also the data set it was applied to. This makes the comparison of newly developed tools to previously published approaches difficult. Either researchers need to implement others' algorithms first, to establish an adequate benchmark on their data, or a direct comparison of new and old techniques is infeasible. The Ischemic Stroke Lesion Segmentation (ISLES) challenge, which has ran now consecutively for 3 years, aims to address this problem of comparability. ISLES 2016 and 2017 focused on lesion outcome prediction after ischemic stroke: By providing a uniformly pre-processed data set, researchers from all over the world could apply their algorithm directly. A total of nine teams participated in ISLES 2015, and 15 teams participated in ISLES 2016. Their performance was evaluated in a fair and transparent way to identify the state-of-the-art among all submissions. Top ranked teams almost always employed deep learning tools, which were predominately convolutional neural networks (CNNs). Despite the great efforts, lesion outcome prediction persists challenging. The annotated data set remains publicly available and new approaches can be compared directly via the online evaluation system, serving as a continuing benchmark (www.isles-challenge.org).</description>
    <description xml:lang="ara" descriptionType="Other">لا يعتمد أداء النماذج بشكل كبير على الخوارزمية المستخدمة فحسب، بل يعتمد أيضًا على مجموعة البيانات التي تم تطبيقها عليها. وهذا يجعل مقارنة الأدوات المطورة حديثًا بالنهج المنشورة سابقًا أمرًا صعبًا. إما أن يحتاج الباحثون إلى تنفيذ خوارزميات الآخرين أولاً، لإنشاء معيار مناسب لبياناتهم، أو أن المقارنة المباشرة بين التقنيات الجديدة والقديمة غير ممكنة. يهدف تحدي تجزئة آفة السكتة الدماغية الإقفارية (ISLES)، الذي استمر الآن على التوالي لمدة 3 سنوات، إلى معالجة مشكلة قابلية المقارنة هذه. ركزت ISLES 2016 و 2017 على التنبؤ بنتائج الآفة بعد السكتة الدماغية الإقفارية: من خلال توفير مجموعة بيانات معالجة مسبقًا بشكل موحد، يمكن للباحثين من جميع أنحاء العالم تطبيق خوارزميتهم مباشرة. شارك ما مجموعه تسعة فرق في آيلز 2015، وشارك 15 فريقًا في آيلز 2016. تم تقييم أدائهم بطريقة عادلة وشفافة لتحديد أحدث ما توصلت إليه جميع التقديمات. لطالما استخدمت الفرق الأعلى تصنيفًا أدوات التعلم العميق، والتي كانت في الغالب شبكات عصبية تلافيفية (CNNs). على الرغم من الجهود الكبيرة، لا يزال التنبؤ بنتائج الآفة يمثل تحديًا. تظل مجموعة البيانات المشروحة متاحة للجمهور ويمكن مقارنة الأساليب الجديدة مباشرة عبر نظام التقييم عبر الإنترنت، لتكون بمثابة معيار مستمر (www.isles-challenge.org).</description>
    <description xml:lang="fra" descriptionType="Other">Les performances des modèles dépendent fortement non seulement de l'algorithme utilisé, mais également de l'ensemble de données auquel il a été appliqué. Cela rend difficile la comparaison des outils nouvellement développés avec les approches précédemment publiées. Soit les chercheurs doivent d'abord mettre en œuvre les algorithmes des autres, pour établir un point de référence adéquat sur leurs données, soit une comparaison directe des techniques nouvelles et anciennes est irréalisable. Le défi Ischemic Stroke Lesion Segmentation (ISLES), qui se déroule maintenant de manière consécutive depuis 3 ans, vise à résoudre ce problème de comparabilité. ISLES 2016 et 2017 se sont concentrées sur la prédiction des résultats des lésions après un AVC ischémique : en fournissant un ensemble de données prétraitées uniformément, des chercheurs du monde entier ont pu appliquer directement leur algorithme. Au total, neuf équipes ont participé à ISLES 2015 et 15 équipes ont participé à ISLES 2016. Leur performance a été évaluée de manière équitable et transparente afin d'identifier l'état de l'art parmi toutes les soumissions. Les équipes les mieux classées utilisaient presque toujours des outils d'apprentissage profond, qui étaient principalement des réseaux de neurones convolutifs (CNN). Malgré les grands efforts, la prédiction de l'issue de la lésion reste difficile. L'ensemble des données annotées reste accessible au public et de nouvelles approches peuvent être comparées directement via le système d'évaluation en ligne, servant de référence continue (www.isles-challenge.org).</description>
    <description xml:lang="spa" descriptionType="Other">El rendimiento de los modelos depende en gran medida no solo del algoritmo utilizado, sino también del conjunto de datos al que se aplicó. Esto dificulta la comparación de las herramientas recientemente desarrolladas con los enfoques publicados anteriormente. O bien los investigadores necesitan implementar primero los algoritmos de otros, para establecer un punto de referencia adecuado en sus datos, o no es posible una comparación directa de técnicas nuevas y antiguas. El desafío Ischemic Stroke Lesion Segmentation (ISLES), que se ha desarrollado de forma consecutiva durante 3 años, tiene como objetivo abordar este problema de comparabilidad. ISLES 2016 y 2017 se centraron en la predicción del resultado de la lesión después de un accidente cerebrovascular isquémico: al proporcionar un conjunto de datos preprocesados de manera uniforme, investigadores de todo el mundo podrían aplicar su algoritmo directamente. Un total de nueve equipos participaron en ISLES 2015 y 15 equipos participaron en ISLES 2016. Su desempeño fue evaluado de manera justa y transparente para identificar el estado de la técnica entre todas las presentaciones. Los equipos mejor clasificados casi siempre empleaban herramientas de aprendizaje profundo, que eran predominantemente redes neuronales convolucionales (CNN). A pesar de los grandes esfuerzos, la predicción del resultado de la lesión sigue siendo un desafío. El conjunto de datos anotados sigue estando a disposición del público y los nuevos enfoques se pueden comparar directamente a través del sistema de evaluación en línea, que sirve como punto de referencia continuo (www.isles-challenge.org).</description>
  </descriptions>
</resource>
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