News 2017
20171223
Congrats to Jeremy and Colin for their ISBI 2018 paper on Connectome Priors in Deep Neural Networks to Predict Autism
20171223
Congrats to Saeed, Zahra and Jeremy for their ISBI 2018 paper on Generative Adversarial Networks to Segment Skin Lesions.
20171223
Congrats to Zahra, Saeed and Jeremy for their ISBI 2018 paper on Deep Auto-context Fully Convolutional Neural Network for Skin Lesion Segmentation.
20171223
Congrats to Saeid and Noirin for their CMIG paper on Segmentation-Free Direct Tumor Volume and Metabolic Activity Estimation from PET Scans.
20171221
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
20171104
Congrats to Aïcha for her new IEEE TMI paper on Adversarial Stain Transfer for Histopathology Image Analysis
20171020
Our work IEEE JBHI work (DOI) is featured on the Medical Physics Web: "From photo, to 3D model, through to wound healing"
20170915
Congrats Mian for winning the best spotlight presentation award at MICCAI LABELS workshop
Title: SwifTree: Interactive Extraction of 3D Trees Supporting Gaming and Crowdsourcing
20170910
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).
20170909
20170901
New paper published:
Segmentation and Measurement of Chronic Wounds for Bioprinting, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
201708015
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.
20170801
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 - Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants.
MICCAI LABELS - Uncertainty Driven Multi-Loss Fully Convolutional Networks for Gland Analysis.
MICCAI LABELS - SwifTree: Interactive Extraction of 3D Trees Supporting Gaming and Crowdsourcing.
MICCAI GRAIL - Graph Geodesics to Find Progressively Similar Skin Lesion Images.
MICCAI MLMI - Collage CNN for Renal Cell Carcinoma Detection from CT
20170715
Kathleen presented
Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants
at the UBC MRI Research Groups 11th Annual Retreat
20170712
Congratulations to Jeremy for being awarded "Graduate Prize in Computing Science" (top CS graduate student).
20170701
Congratulations to Colin and Roja for their Brachytherapy journal paper on
20170701
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
http://aapm.onlinelibrary.wiley.com/hub/issue/10.1002/(ISSN)2473-4209.EDITORS_CHOICE/
20170526
Our lab participated in the 2nd Annual Health Technology Symposium in Vancouver
Topology Aware Fully Convolutional Networks for Histology Gland Segmentation
Tumor Lesion Segmentation from 3D PET using a Machine Learning driven Active Surface
BrainNetCNN: Artificial Convolutional Neural Networks for Connectomes
Tree Structure Analysis in 3D Medical Images
20170410
Saeid’s work presented at the Quantitative Imaging Network (QIN) Annual Meeting, 2017: Lesion volume Estimation from PET without Requiring Segmentation
20170426
20170519
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
20170517
Mengliu presented two papers at the 2017 Conference on Computer and Robot Vision (CRV)
20170501
New software released supporting the work:
A Structured Latent Model for Ovarian Carcinoma Subtyping from Histopathology Slides
The code is available at here.
20170401
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.
20170401
Congratulations to Aïcha for her new J.MedIA paper on
Contextual Representation of Histopathology Slides for Automatic Ovarian Carcinoma Diagnosis
20170223
Congratulations to Colin for judges' choice award and Payam for people's choice award in the faculty of applied science three minute thesis.
