Ismail’s work on network modelling and machine learning for analyzing single molecule localization microscopy of prostate cancer super-resolution data: https://www.cs.sfu.ca/~hamarneh/bib/author/KHATER-IM.html
Congrats Saeed for Winning 2nd place in the Gastrointestinal Image ANAlysis (GIANA) sub-challenge for the polyp segmentation task, as a part of EndoVis challenge, MICCAI 2017. See press release.
Title: Adversarial Networks for Gastrointestinal Polyp Segmentation in Endoscopic Images
Winners of Polyp Segmentation awards. From left to right, Bogdan J. Matuszewski (CVML. 1st prize), Aïcha Bentaieb accepting the award on behalf of Saeed Izadi (SFU, 2nd prize), Vladimir Iglovikov (TA-MIT, 3rd prize) and Danail Stoyanov (UCL, 3rd prize).
Prof. Hamarneh awarded 4-year funding from BCCA and BrainCare for working on Medical Image Analysis and Machine Learning for Management of Malignant Brain Tumours.
Congrats to students Zahra, Mengliu, Kathleen, Jeremy, Aïcha, Mian, Colin and Arafat, for their papers accepted for presentation at MICCAI 2017 and its workshops:
MICCAI MLMI - Collage CNN for Renal Cell Carcinoma Detection from CT
Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants
at the UBC MRI Research Groups 11th Annual Retreat
Congratulations to Jeremy for being awarded "Graduate Prize in Computing Science" (top CS graduate student).
Our contribution on Multi‐site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data was selected as one of the highlights appearing under the Editors' Choice column for the Medical Physics Scitation and medphys.org websites
Our lab participated in the 2nd Annual Health Technology Symposium in Vancouver
Mengliu's work awarded an Honourable Mention for Best Computer Vision Paper at the 2017 Conference on Computer and Robot Vision (CRV) for her work on Leveraging Tree Statistics for Extracting Anatomical Trees from 3D Medical Images
Mengliu presented two papers at the 2017 Conference on Computer and Robot Vision (CRV)
Congratulations to Jeremey for achieving the score in Part 2 - clinical feature detection of the International Skin Imaging Collaboration (ISIC) skin lesion analysis challenge, in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI), and invited for an oral presentation at ISBI 2017 in Melbourne, Australia.