Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions OMER F AHMAD| ANTONIO S SOARES| EVANGELOS MAZOMENOS| PATRICK BRANDAO| ROSER VEGA| EDWARD SEWARD| DANAIL STOYANOV| MANISH CHAND| LAURENCE B LOVAT Lancet Gastroenterol Hepatol 2019; 4: 71–80 DOI: https://doi.org/10.1016/S2468-1253(18)30282-6 This paper reviews the different use of CAD (i.e. Computer Aided Diagnosis) and AI…

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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…

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Unsupervised 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:…

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Parallel 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…

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Capsules 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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Real-time in vitro intravascular reconstruction and navigation for endovascular aortic stent grafting Chaoyang Shi | Carlos Tercero | Xianliang Wu | Seiichi Ikeda | Kimihiro Komori | Kiyohito Yamamoto | Fumihito Arai | Toshio Fukuda  Int J Med Robotics Comput Assist Surg 2016; 12:648-657 DOI: https://doi.org/10.1002/rcs.1736 This paper is introduced as a new framework for…

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Kick off meeting

ATLAS had is Kick Off Meeting in Leuven, the 21 and 22 of January. We would like to thanks all the PIs and Fellows that participated to the meeting.  Great talks. Great Fondue Great Dessert   The second day of the meeting we challenged our Fellows to imagine how to structure an integrated project targeting…

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A Novel Robotic Meshworm With Segment-Bending Anchoring for Colonoscopy Julius E. Bernth | Alberto Arezzo | Hongbin LiuIEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 2, NO. 3, JULY 2017DOI:10.1109/LRA.2017.2678540 The authors introduced a novel design worm inspired robotic endoscope with multi degrees of freedom segments, which can move itself forward and backward by anchoring the different…

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