Service

reviewerReviewer

[J]–Journal [C]–Conference [O]–Others

[J]– IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
[J]– SIAM Journal on Imaging Sciences (SIIMS)
[J]–Inverse Problems in Imaging
[J]– Medical Image Analysis (MedIA)
[J]– IEEE Transactions on Image Processing (IEEE TIP)
[J]– International Journal of Computer Vision (IJCV)
[J]– IEEE Transactions on Multimedia (IEEE TMM)
[J]– IEEE Transactions on Medical Imaging (IEEE TMI)
[J]– IEEE Transactions on Cybernetics
[J]– IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS)
[J]– IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
[J]– Journal of Mathematical Imaging and Vision
[J]– IEEE Robotics and Automation Magazine
[J]– Scientific Reports
[J]– Artificial Intelligence in Medicine.
[J]– Sensors.
[J]– Robotica (Cambridge Core-Cambridge Press).
[J]– The International Journal for Computer Assisted Radiology and Surgery (IJCARS)
[C]– IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[C]– IEEE International Conference on Robotics and Automation (ICRA)
[C]– IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
[C]– International Symposium on Medical Robotics (ISMR)
[C]– International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
[C]– IEEE Winter Conf. on Applications of Computer Vision (WACV).
[C]– The International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 
[C]–
UK Conference on Medical Image Understanding and Analysis (MIUA)
[C]– European Conference on Computer Vision (ECCV)
[C]– Asian Conference on Computer Vision (ACCV)
[C]– IEEE/CVF International Conference on Computer Vision (ICCV)
[C]– AAAI Conference on Artificial Intelligence (AAAI)
[C]– IEEE/CVF Computer Vision and Pattern Recognition (CVPR)
[C]– International Conference on Machine Learning (ICML)
[C]– Neural Information Processing Systems (NeurIPS)
[C]– International Conference on Learning Representations (ICLR)

Professional Activities

– Area Chair, Workshop for WiML 2022 (co-located with NeurIPS),  November 2022,  New Orleans, USA.
– Co-organiser The British Machine Vision Conference (BMVC) London 2022
– Co-organiser Geometric Deep Learning in Medical Image Analysis (GeoMedIA) @MICCAI Singapoure 2022 
– Co-organiser Geometric Deep Learning in Medical Image Analysis (GeoMedIA) Workshop Amsterdam  2022 
– Co-organiser Medical Image Understanding and Analysis (MIUA 2022) 
– Co-organiser Women in Medical Image Understanding and Analysis (WiMIUA 2022)
 – Area Chair, Women in Machine Learning Workshop (WiML 2021) (co-located with NeurIPS),  December, 2021.
– Program Committee, CVAMD 2021 @ICCV, October 2021.
– Area Chair, Medical Imaging with Deep Learning (MIDL), Lübeck, Germany, July 2021.
– Guess Editor, Deep Learning in Remote Sensing Application, Remote Sensing.
– A Group Project Leader, WiSH Workshop, @BIRS @CMO, June 2021.
– Chair, Cambridge Computational Biology Institute (CCBI) Annual Symposium May 2021.
– Program Committee, AAAI Conference on Artificial Intelligence (AAAI-21), February 2021.
– Poster Judge, SIAM CSE, March 2021.
– Area Chair, 15th Women in Machine Learning Workshop (WiML 2020) (co-located with NeurIPS),  December, 2020.
– Scientific Committee, GRaphs in biomedicAl Image anaLysis (GRAIL2020) Satellite Event MICCAI2020.  Lima Peru, 2020
– Program Committee, AAAI Conference on Artificial Intelligence (AAAI-20), February 7-12  2020. New York, NY, USA.
– Area Chair, IEEE WACV 2020 (Winter Conf. on Applications of Computer Vision), March 2-5, 2020. Colorado, USA.
– Area Chair, Workshop for WiML 2019 (co-located with NeurIPS),  December, 2019, Vancouver, Canada.
– PC Member,  @ipaMAC2019, ACPR ’19 (Asian Conference on Pattern Recognition), 26-29 November 2019, Auckland, New Zealand

Service Recognition

– Outstanding Reviewer recognition (Top 5%) @ICCV2021
– Best Reviewers (Top 10%) recognition  @ICML 2021  (granted registration)
– Outstanding Reviewer recognition @CVPR 2021

Scientific Activities and Organisation

[T]-Tutorial [W]-Workshop [M]-Minisymposia [S]-Seminars [H]– Hackathon

[W]– Workshop GeoMedIA Amsterdam 2022
Geometric Deep Learning in Medical Image Analysis (GeoMedIA) Workshop 2022
Organised by J Wolterink (University of Twente), A.I Aviles-Rivero (University of Cambridge) and E Bekkers (University of Amsterdam)Webpage
[T]— Tutorial in MICCAI 2022.
Geometric Deep Learning in Medical Image Analysis (GeoMedIA) MICCAI2022
Organised by J Wolterink (University of Twente), A.I Aviles-Rivero (University of Cambridge) and E Bekkers (University of Amsterdam)Webpage
[M] SIAM Conference on Imaging Science (IS20), 2022.
More Tasks for Better Performance: Data-Driven Multi-Task Models for Image Analysis. Organised by A.I Aviles-Rivero (University of Cambridge) R Ke (University of Cambridge) and CB Schonlieb (University of Cambridge)
[M] SIAM Conference on Imaging Science (IS20), 2022.
Breaking the Limits of Labels: Unsupervised Learning for Image Analysis. Organised by A.I Aviles-Rivero (University of Cambridge) N Debroux (Universite Clermont Auvergne) and H Peng (University of Cambridge)
[T] IGARSS 2021. All You Need to Know about Learning with Limited Labels for Remote Sensing. Organised by A.I Aviles-Rivero (University of Cambridge),R Ke (University of Cambridge), L Mou (DLR/TUM), S Sasha (DLR/TUM), CB Schonlieb (University of Cambridge) and XX Zhu (DLR,TUM) — Link
[M] — SIAM Conference on Computational Science and Engineering (CSE21), 2021. Beyond Supervised Learning: Data-Driven Techniques for Image Segmentation with Fewer Labels. Organised by R Ke (University of Cambridge) and A.I Aviles-Rivero (University of Cambridge) Link
SIAM-IS20[M] SIAM Conference on Imaging Science (IS20), 2020.
Are We Ready for Semi-Supervised Learning for Big Data? From Theory to Practice. Organised by A.I Aviles-Rivero (University of Cambridge) and Nicolas Papadakis (CNRS/Universite de Bordeaux) — Link
MSSIAMIS20Multitasking[M] SIAM Conference on Imaging Science (IS20), 2020.
The Power of Variational and Hybrid Multi-task Models for Image Analysis. Organised by A.I Aviles-Rivero (University of Cambridge), Noemie Debroux (Universite Clermont Auvergne) — Link
ACPR19[T] — Asian Conference on Pattern Recognition (ACPR), 2019.
Classic and Deep Vision for Healthcare Image Analysis  A.I Aviles-Rivero (University of Cambridge), R. Chan (City U), K. Chen (University of Liverpool), H. Ji (NUS) and CB. Schonlieb (UoC) Tutorial — Link
TransportCam19[W]/[H]Re-visioning Transport and Health 2019 Workshop/Hackathon, 2019.
From Satellite to Street Level: Computer Vision … to Benefit Population Health , CB. Schonlieb, J Woodcok, A.I Aviles-Rivero, T Bishop, R Goel, A. Abbas, A Alexander and M Murphy. Tutorial — Link
accv18-tutorial[T]Asian Conference on Computer Vision ACCV, Perth Australia, 2018.
Classic vs Deep Vision. What is Beyond Deep Learning in Computer Vision? , CB. Schonlieb (University of Cambridge) ,  R. Tan (Yale-NUS), A.I Aviles-Rivero (University of Cambridge), S. You (Data61/ ANU), Q. Fan (Shandong University) and SM Alsaleh(GWU).  Tutorial – Link
cialogo_green_rounded_rectangle_website[S][2018-Current] Cambridge Image Analysis Seminars.  @Centre for Mathematics (CMS), University of Cambridge.
I’m co-organising the CIA- Seminars. The coming talks can be seen @TalksCam