News
From July 20th to July 24th our ESRs and other invited students from POLIMI participated in another of our Network Training Activity. Due to COVID-19 situation, the event was held online. The event was divided into theory, practice and hands-on, ATLAS pitches with a student challenge. The research topics crossed over an introduction to deep…
Read MoreUnsupervised Learning of Probably Symmetric Deformable 3D Objectsfrom Images in the Wild SHANGZHE WU | CHRISTIAN RUPPRECHT | ANDREA VEDALDI Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020. p. 1-10. DOI: https://arxiv.org/abs/1911.11130 This paper was presented at CVPR 2020 where it got the award for best paper. The problem tackled is…
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The Conference on New Technologies for Computer and Robot Assisted Surgery is now at his 10th edition! It will be held in Barcellona, ATLAS is co-organising it, and, this year, is in conjunction with COSUR. important dates: Extended Abstracts due: 30 June 2020 Notification of Acceptance: 31 July 2020 Conference: 28-30 September 2020 More info:…
Read MoreDuring the past month, most of the ESRs participated in weekly meetings, and discussed about a common topic: simulation. In our last session, we had the opportunity to listen to an experienced opinion from Vladimir Poliakov. Vladimir is a PhD student at KU Leuven, working on the development of a Virtual Reality simulator for in-office…
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The elections for ESR representative were held on 8th May, 2020 in which all 15 ESRs participated through video conferencing. After discussions, all ESRs were named on the electoral roll and votes were cast. Out of the 13 votes cast, ESR1 received 3 votes, ESR2 received 6 votes, ESR5 received 2 votes, and ESR10 received…
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ESR 2 – Mohammad Hasan Dad Ansari was invited to be a part of a short review article related to magnetic spermbots. The article titled “Sperm Cell Driven Microrobots—Emerging Opportunities and Challenges for Biologically Inspired Robotic Design” has been accepted in the journal Micromachines and is online as of 23 April 2020. The article is…
Read MoreParallel deep neural networks for endoscopic OCT image segmentation DAWEI LI| JIMIN WU| YUFAN HE|XINWEN YAO| WU YUAN|DEFU CHEN|HYEON-CHEOL PARK| SHAOYONG YU| JERRY L.PRINCE|XINGDE LI Biomedical Optics Express, Vol. 10, Issue 3, pp. 1126-1135(2019) DOI: https://doi.org/10.1364/BOE.10.001126 This article reports parallel-trained deep neural networks for automated endoscopic OCT image segmentation feasible even with a limited training…
Read MoreCapsules for Object Segmentation Rodney LaLonde |Ulas Bagci In the last few years, deep learning-based methods, in particular Convolutional Neural Networks (CNNs), have become the state-of-the-art for various image analysis tasks. Specifically related to the object segmentation problem, U-Net, Fully Convolutional Networks (FCN) have become the most used models for various medical image segmentation tasks.…
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On Tuesday, February 18th, Politecnico di Milano opened its doors to celebrate the inauguration of the new laboratories of the Department of Electronics, Information and Bioengineering. In the new facilities, located at Leonardo campus, will work about 100 people including researchers, doctoral, postdoctoral and masters students in different projects: from humanoid robots that help the…
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