Our Workshop proposal to the IEEE Computer Vision & Pattern Recognition (CVPR) 2024 Conference with title “Domain adaptation, Explainability and Fairness in AI for Medical Image Analysis (DEF-AI-MIA)” has been accepted! The Workshop also includes the 4th COV19D Competition. The Workshop will be held in Seattle, USA, 17-21 June, 2024.
Our Workshop & Competition proposal to the IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) 2023 with title “AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition” has been accepted and the Workshop will be held in Rhodes Island, Greece, 4 – 9 June, 2023.
For more information on the Workshop and the Competition you can have a look here.
Our Workshop & Competition proposal to the European Conference on Computer Vision (ECCV) 2022 with title “AI-enabled Medical Image Analysis – Digital Pathology & Radiology/COVID19 (AIMIA)” has been accepted and the Workshop will be held in conjunction with ECCV 2022 in Tel-Aviv, Israel, 23 – 24 October, 2022.
For more information on the Workshop you can have a look here.
For more information on the Competition you can have a look here.
Our Workshop proposal to the International Conference on Computer Vision (ICCV 2021) with title “AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (MIA-COV19D)” has been accepted and the Workshop will be held in conjunction with ICCV 2021 in Montreal, Canada, October 11- October 17, 2021.
The Organisers are: Stefanos Kollias, Xujiong Ye, Luc Bidaut, Francesco Rundo, Dimitrios Kollias and Giuseppe Banna.
For more information you can have a look here.
Four new members at the Lecturer/Senior lecturer level have been elected and are in the procedure of joining the mlearn Group. They are:
Dr Vassilis Cutsuridis, with Ph.D in Computer Science on biologically inspired neural models and brain state analysis, with a long experience in understanding mental experiences and behaviours and generating brain related algorithms for complex data analysis, medical imaging and neuroscience.
Dr Mingjun Zhong, with Ph.D. on Independent Component Analysis and application to fMRI data and a long expertise on computational statistics & machine learning, devising statistical and probabilistic methods for real-life data analysis, e.g., for high resolution gas & electricity data, related to energy.
Dr Georgios Leontidis, with Ph.D. in computer science and medical informatics and postdoctoral experience in big data analytics, data mining, machine learning and statistical modelling, with application field in radiation therapy.
Dr Miao Yu, with Ph.D. in computer vision and application in human activity recognition and in fall detection and postdoctoral experience in intelligent and knowledge assisted signal processing, with a focus on object tracking and localization.