F
Felix Zhou
Researcher at Ludwig Institute for Cancer Research
Publications - 32
Citations - 572
Felix Zhou is an academic researcher from Ludwig Institute for Cancer Research. The author has contributed to research in topics: Biology & Computer science. The author has an hindex of 7, co-authored 20 publications receiving 304 citations. Previous affiliations of Felix Zhou include California Institute of Technology & University of Oxford.
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Journal ArticleDOI
Diverse and robust molecular algorithms using reprogrammable DNA self-assembly
Damien Woods,Damien Woods,Damien Woods,David Doty,David Doty,Cameron Myhrvold,Cameron Myhrvold,Joy Hui,Joy Hui,Felix Zhou,Felix Zhou,Peng Yin,Peng Yin,Erik Winfree +13 more
TL;DR: A set of 355 self-assembling DNA ‘tiles’ can be reprogrammed to implement many different computer algorithms—including sorting, palindrome testing and divisibility by three—suggesting that molecular self-assembly could be a reliable algorithmic component in programmable chemical systems.
Journal ArticleDOI
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
Sharib Ali,Felix Zhou,Barbara Braden,Adam A. Bailey,Suhui Yang,Guanju Cheng,Pengyi Zhang,Xiaoqiong Li,Maxime Kayser,Roger D. Soberanis-Mukul,Shadi Albarqouni,Xiaokang Wang,Chunqing Wang,Seiryo Watanabe,Ilkay Oksuz,Ilkay Oksuz,Qingtian Ning,Shufan Yang,Mohammad Azam Khan,Xiaohong W. Gao,Stefano Realdon,Maxim Loshchenov,Julia A. Schnabel,James E. East,Georges Wagnières,Victor B. Loschenov,Enrico Grisan,Enrico Grisan,Christian Daul,Walter Blondel,Jens Rittscher +30 more
TL;DR: A comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge is presented, revealing the shortcomings of current training strategies and highlighting the need for developing new optimal metrics to accurately quantify the clinical applicability of methods.
Journal ArticleDOI
A deep learning framework for quality assessment and restoration in video endoscopy.
TL;DR: In this paper, a fully automatic framework is proposed that can detect and classify six different artifacts, segment artifact instances that have indefinable shapes, provide a quality score for each frame, and restore partially corrupted frames.
Posted ContentDOI
Endoscopy artifact detection (EAD 2019) challenge dataset.
Sharib Ali,Felix Zhou,Christian Daul,Barbara Braden,Adam A. Bailey,Stefano Realdon,James E. East,Georges Wagnières,Victor B. Loschenov,Enrico Grisan,Walter Blondel,Jens Rittscher +11 more
TL;DR: The endoscopic artifact detection (EAD 2019) challenge as mentioned in this paper aims to identify and locate endoscopic frame artifacts to enable further key quantitative analysis of unusable video frames such as mosaicking and 3D reconstruction.
Journal ArticleDOI
Visualization of T Cell Migration in the Spleen Reveals a Network of Perivascular Pathways that Guide Entry into T Zones.
Anne Chauveau,Gabriela Pirgova,Cheng H-W.,A De Martin,Felix Zhou,S Wideman,Jens Rittscher,Jens Rittscher,Burkhard Ludewig,Tal I. Arnon +9 more
TL;DR: A role for vascular structures in lymphocyte recirculation through the spleen is revealed, indicating the existence of separate entry and exit routes and that of a checkpoint located at the gate to the T zone.