Computer Vision Postdoc @UniofOxford - working on early cancer detection via machine/deep learning. Previously @LivUni @KingsCollegeLon, @imperialcollege
@stmball@fobby95@lina_ak94@numanchelik our fab paper out and downloadable on @PLOSONE DeepGANnel…. AI synthesis of single molecule data…. Tweets/RTs will increase the (apparent) impact 😜
https://t.co/IEsO2itKjh
Join the poster session today at #MICCAI2021 that I will present our work on domain adaptation for endoscopy segmentation. Session will start via this link: https://t.co/xjN7M2qfcT at 10:30 BTC time. Paper link: https://t.co/zUNQMtu5V4
Checkout our domain adaptation technique in endoscopy work at #MICCAI2021
Poster session @DomainAdaptation: 10:30 - 12:00 BST on Thursday, September 30
Paper: https://t.co/JGOa8hHmMB
1/NEW: Today the SPIRIT-AI and CONSORT-AI Working Group have published the first reporting guidelines for clinical trials evaluating AI interventions in @NatureMedicine@LancetDigitalH@bmj_latest
@MalikSana28 1. BSc Electronics and Communication Engineering
2. MSc Electronics and Computer Engineering
3. PhD Wearable computing for vital signs monitoring and machine learning
Job: Post-doc, with focus on Computer Vision - developing Deep learning models for medical images
Another paper based on self-supervised learning. Seen impressive effort in this year on self-supervised methods for semi-supervised tasks. Interesting era for the Computer Vision!
We are sharing a new technique for self-supervised training of convolutional networks. Our method outperforms previous self-supervised approaches and surpasses supervised techniques on most transfer tasks.
https://t.co/Aza0OYqsNy
Oxford’s Covid-19 vaccine produces a good immune response, reveals new study.
Teams at @VaccineTrials and @OxfordVacGroup have found there were no safety concerns, and the vaccine stimulated strong immune responses: https://t.co/krqRzXMh7B