Constantin Seibold
@cmseibold
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Postdoctoral Researcher, UK-Essen
Essen
Joined November 2020
Neues KI-Institut @Uni_Stuttgart umfasst 2 @Cyber_Valley Prof. Analytic Computing (@ststaab) & #AutonomeSysteme (#KaiArras), @SimTechStuttga2 Prof. ML in den Sim.wiss., Jun.-Prof. Autonomous Sensing and Perception Systems (@AlinaRoitberg) & Prof. #MaschinellesLernen & #Robotik
KI für #Simulationen und #IntelligenteRobotik: Daran forscht künftig das neugegründete Institut für Künstliche Intelligenz an der #UniStuttgart. Das Ziel: den Transfer von KI-Anwendungen in Wirtschaft und Gesellschaft vorantreiben.👉
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Come join our #CVPR23 workshop on Large Scale Holistic Video Understanding (@LSHVU), happening on 18th starting at 8:30am PST. Program schedule (Room: East 8, Poster: West Exhibit Hall, # 100-114):
lnkd.in
This link will take you to a page that’s not on LinkedIn
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This was my last paper during my time at the graduate school @hidss4health and a collaboration with @AlexanderJaus, Matthias Fink, Moon Kim, @SimaelR, Ken Herrmann, @JensKleesiek and Rainer Stiefelhagen.
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We make this available via a simple "pip install cxas". We also provide a gradio demo to easily test this method: https://t.co/bSWxYT2OzF For more details, check out our paper: https://t.co/rsxUKoyvC5
arxiv.org
Purpose: Interpreting chest radiographs (CXR) remains challenging due to the ambiguity of overlapping structures such as the lungs, heart, and bones. To address this issue, we propose a novel...
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In this work, we leverage the shared imaging properties between CXR and CTs to enable networks to delineate anatomical structures pixel-wise. The used PAX-Ray++ dataset has 157 anatomical classes with more than ten thousand images and two million annotated instances.
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The anatomy in chest radiographs (CXR) is typically difficult segment manually due to the ambiguity introduced by overlapping structures. We Adress this in our paper and publish models to segment 157 anatomical labels in CXR: https://t.co/rsxUKoyvC5
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When your otherwise free work day is suddenly filled with meetings... 😅
🐢 | During a research trip, a team of Oxford researchers took part in the #ProtetugaProject through @FundaPrincipe to observe sea turtles laying eggs. Fundação Príncipe works with local communities to protect biodiversity on the island. 📽 | @principeproject
#TurtleDay
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Also a big thank you to the @hidss4health graduate school for enabling these past few years in research!
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I guess it is finally done!! Managed to successfully defend my PhD thesis today. I researched methods aiding the generation of medical reports. I loved my time at the cv:hci and the @KITKarlsruhe overall. I will certainly miss the atmosphere, great colleagues and friends!!
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Probably not thinking too straight right now due to an exam in the afternoon, but I think I might release a pre-print with associated Models and Dataset for fine-grained anatomy segmentation in the first week of May... (because self-set deadlines always work ... 😆)
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When annotating such findings, however, it is also worth thinking about, do we want to capture the entire abnormal organ or just the part of the organ that is abnormal. Cardiomegaly in CXR is obv not a strong example, but still ...
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I've been going over the saliency maps of our CXR Vision-Language model from MICCAI22. Despite it being somewhat obvious, I found it interesting that for some classes it will just activate on the abnormal enlargements for cardiomegaly. Other CNN had activated on the entire heart.
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Merry Christmas to all of you! I hope we can get some time to rest and then freshly start the new year.
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The more you can't have something, the more you want it, right? Currently writing my thesis and so many ideas pop into my head of what I would love to just try out, but I don't have the timeeee... Feels like torture... 😭😭😭
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Standing here in poster room 1 to present my paper about detailed chest Xray annotations for phrase grounding 🤸 Still wish I could have attended #BMVC2022 in person =(
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Recently, I started doing endurance training again like swimming or jogging and find myself often out of breath. I'm wondering if this is due to covid or due to me being out of shape... 🤔 (I'm assuming the latter 😄)
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Great (and lengthy 😅) overview on Vision-language-pretraining by Gan et al. https://t.co/ET2Xu8Vmoi Imo worth checking out for anyone who is interested in this field. (Medical applications are not explicitly handled)
arxiv.org
This paper surveys vision-language pre-training (VLP) methods for multimodal intelligence that have been developed in the last few years. We group these approaches into three categories: ($i$) VLP...
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Analysis: Which countries are historically responsible for climate change? | @drsimevans @tomoprater #COP27 @COP27P #archive Read: https://t.co/12ePLNqUyx
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