Richard Droste
@richard_droste
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Infrastructure Lead @FlexionBots | Previously @amazon, @UniofOxford, @ETH_en, etc.
Zurich, Switzerland
Joined October 2010
RT @RonLitman: Announcing TiE: Text in Everything Workshop @eccvconf. Call for papers is now open. This workshop proposes The OOV-ST Challe….
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RT @arXiv_Daily: A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry.by Yuan Gao et al. inc….
deepai.org
08/28/21 - This paper presents a novel approach to automatic fetal brain biometry motivated by needs in low- and medium- income countries. Sp...
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RT @Ox_wrh: Congrats to @ldrukker (Papageorghiou group). His new paper in @SpringerNature and @SciReports considers obstetric ultrasound as….
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RT @leggedrobotics: Learning a navigation policy in dynamic environments in 10 minutes and deploying it sim-to-real is not as hard as it so….
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RT @NobleLabOxford: We're looking for a PhD student to work on multimodal learning and analysis for healthcare - funded - for more details….
findaphd.com
PhD Project - Research Studentship in Multimodal learning and analysis at University of Oxford, listed on FindAPhD.com
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RT @anirbanakash: "What is Wrong with Continual Learning in Medical Image Segmentation?".With this slightly provocative title our effort wo….
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RT @NobleLabOxford: We're recruiting for a Translational Imaging Research Software Engineer!. Find out more: Closi….
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RT @Oxford_VGG: New #ECCV2020 Spotlight paper UNISAL - Unified Image and Video Saliency Modeling, by @richard_droste Jianbo Jiao and @Aliso….
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RT @NobleLabOxford: We're recruiting for a Postdoctoral Research Assistant in Multi Modal Deep Learning for Biomedical Image Analysis. Fin….
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RT @NobleLabOxford: Pleased to announce that our PULSE project researchers have three abstracts accepted @ISUOG 2020 Virtual World Congress….
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Excited to share that our paper "Unified Image and Video Saliency Modeling" was accepted as a spotlight at @eccvconf #ECCV2020!. Camera ready version on arXiv now: with Jianbo Jiao and @AlisonNoble_OU @NobleLabOxford.
arxiv.org
Visual saliency modeling for images and videos is treated as two independent tasks in recent computer vision literature. While image saliency modeling is a well-studied problem and progress on...
Out now: "Unified Image and Video Saliency Modeling".arXiv: Code: While previous work focuses on either image or video saliency prediction, we achieve SOTA performance with a simple unified model through domain adaptation.
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The guidance signal correctly predicts movements towards the standard planes with 89-91% accuracy as long as the probe is not yet at the standard plane position. For more information, check out the paper at:
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We achieve this through a neural network that outputs probe movements towards the standard plane based on the ultrasound video signal and the motion signal from an IMU that is attached to the probe. The network is trained with expert acquisitions through behavioral cloning.
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Obstetric ultrasound operators require years of experience until they can effectively find the correct "standard planes" of the fetus. Therefore, we propose an algorithm - trained with thousands of clinical acquisitions - that can guide operators towards these planes.
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Check out our @MICCAI2020 paper:."Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound".With @ldrukker @FetalUltrasound @AlisonNoble_OU @NobleLabOxford.Short summary below 👇
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RT @AIUMultrasound: On Thursday, June 18th, at 1 PM EST, Lior Drukker, MD (@ldrukker) will host the AIUM Webinar, Introduction to Artificia….
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RT @ldrukker: Delighted to let you know that our paper “Safety Indices of Ultrasound: Adherence to Recommendations and Awareness During Rou….
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Delighted to share that our paper "Discovering Salient Anatomical Landmarks by Predicting Human Gaze" has won 2nd runner up for best paper award at IEEE ISBI 2020!. You can read the paper here:
Can eye-tracking data be used to automatically discover salient anatomical landmarks in medical images?.Our #ISBI2020 paper shows how, with deep visual saliency prediction:.with Pierre Chatelain, @ldrukker, @ichbinharshita, @FetalUltrasound, Alison Noble.
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