Adrien Depeursinge
@adepeursinge
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Joined October 2013
Our work on AI for assessing myocardial perfusion in [82Rb] PET images for predicting major adverse cardiovascular events (MACE) has been published in 𝐍𝐚𝐭𝐮𝐫𝐞 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐑𝐞𝐩𝐨𝐫𝐭𝐬. Link to the paper: https://t.co/hciFze8wb7
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A new paper with @adepeursinge, J. Prior, @r_schaer, A. Martroye de Joly & @flooeve explores the educational potential of an AI-based medical imaging platform #QuantImage. We show how practical knowledge is incorporated in situated work. #EMCA #Radiomics
https://t.co/AAjK0BBWvW
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📣 Insight from #CIBMAnnualSymposium2023: Meritxell Bach Cuadra @MeriBach @unil is spotlighting the importance of responsible machine learning in medical image analysis. Discovering how ensuring image quality & reliable predictions is key in advancing #healthcare technology.
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Vincent Andrearczyk, Valentin Oreiller and @adepeursinge just published their fantastic work on "Wide Kernels and DCT Compression in CNNs for Nuclei Segmentation" in Informatics in Medicine Unlocked. 💻🩹 #Research #Innovation #Academia #Medical #DeepLearning #MachineLearning
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This paper summarizes important lessons learned from HECKTOR 2021, the first edition that combined both segmentation and outcome prediction. Check it out!
By now you may have heard of the HECKTOR challenge - organized by our colleagues @MedGIFT_group @adepeursinge & Vincent Andrearczyk. The description of its second edition is out! ✅data ✅tasks & participation ✅post-challenge analyses Check it out! 👇 #OpenScience
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Combining clinical and radiomics features is now possible in QuantImage! Check out the Clinical Feature tab.
New feature in QuantImage v2‼️ Import #ClinicalFeatures with a single click and easily combine them with #radiomics features in collections for #ML model training! Learn more about the QuantImage v2 platform here : https://t.co/HruyJv9WAi
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New feature in QuantImage v2‼️ Import #ClinicalFeatures with a single click and easily combine them with #radiomics features in collections for #ML model training! Learn more about the QuantImage v2 platform here : https://t.co/HruyJv9WAi
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We are happy to share this unique resource for image biomarker harmonization in CT based on an anthropomorphic phantom. An more data should come !! @Doc_X_Ray @r_schaer @henmueller1 @EnderKonukoglu @oscarjimenez @ojimzt @SPHN_ch
https://t.co/N5WKDtN8a1
cancerimagingarchive.net
Your attention, please!🚨 We have released a new dataset that can: ✅assess the discriminative power & stability of radiomics features with CT variations ✅be used to develop efficient data harmonization techniques Code👉 https://t.co/f9rIuVr8o5 Dataset👉 https://t.co/gak4GXf8H0
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Your attention, please!🚨 We have released a new dataset that can: ✅assess the discriminative power & stability of radiomics features with CT variations ✅be used to develop efficient data harmonization techniques Code👉 https://t.co/f9rIuVr8o5 Dataset👉 https://t.co/gak4GXf8H0
"Task-Based Anthropomorphic CT Phantom for Radiomics Stability and Discriminatory Power Analyses (CT-Phantom4Radiomics)" is now available. It aims to study radiomic feature stability and tissue classification using a 3D-printed CT phantom: https://t.co/8MuiFMxr3l
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"Task-Based Anthropomorphic CT Phantom for Radiomics Stability and Discriminatory Power Analyses (CT-Phantom4Radiomics)" is now available. It aims to study radiomic feature stability and tissue classification using a 3D-printed CT phantom: https://t.co/8MuiFMxr3l
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Very prestigious fellowships to fund your PhD at @unil
unil.ch
Page Doctorate of site Home hosted by the University of Lausanne
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Paper alert🚨 Our paper "Automated MS lesion detection and segmentation in clinical workflow: a systematic review" is published in @eic_nic Full text👉 https://t.co/d4IEQsJE11 Nice collab between @CHUVLausanne @ICT_Sierre @MedGIFT_group @UniBasel_en @UniSpitalBasel
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oops
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𝗣𝗢𝗥𝗧𝗥𝗔𝗜𝗧 : Pourquoi un institut de recherche en informatique travaille avec un chercheur en sciences sociales 👨👨👧? Jakub Mlynar, docteur en sociologie et collaborateur à l’Institut #Informatique 💻 nous parle de ses projets et de ses recherches.
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The description of QuantImage v2, our user friendly, free and open source radiomics research platform for medical researchers (no coding, no installation required) is now published in European Radiology Experimental. @RSNA @EurRadiology @SNM_MI
New paper alert🚨"QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research" Our colleagues present here a web-based platform that integrates #radiomics in the #clinics 😯 Full text➡️ https://t.co/w7BInaUbvw
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Very happy to share all the knowledge gathered in this third edition of HECKTOR, with a very high quality of the participation for 2022! More info:
hecktor.grand-challenge.org
Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Publication alert🚨 The proceedings of the 3rd HECKTOR #challenge (HEad and neCK TumOR segmentation and outcome prediction in PET/CT images (in conjunction with @MICCAI_Society 2022) are now available online: Proceedings➡️ https://t.co/s2VJXssyQy
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Thinking about getting a new #CT phantom? Ever considered an iodine-ink 3D-printed phantom? Check out our latest open-access article about the advantages and challenges of such a phantom: https://t.co/QtFDZ7Rdq6
@adepeursinge @EnderKonukoglu @UniSpitalBasel
aapm.onlinelibrary.wiley.com
Background To test and validate novel CT techniques, such as texture analysis in radiomics, repeat measurements are required. Current anthropomorphic phantoms lack fine texture and true anatomic...
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Excited to present "Why is the winner the best" at #CVPR2023: 🔥 https://t.co/DPpxj28Xto🔥 (update with ackn. of co-authors coming soon). Teaser: We analyzed all n = 80 @MICCAI_Society and @IeeeIsbi competitions 2021 to learn about winning strategies. Some insights: 1/
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#JobAlert 📢Applications open for a Tenure-track Assistant Professor toward Associate Professor in #ArtificialIntelligence & #MachineLearning for #Biomedicine within the BDSC ❗️Apply before April 16th, 2023 More info👉 https://t.co/1wLFPG9jRv
@CHUVLausanne @FBM_UNIL @unil
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