Congratulations to Dima Alattal and Ferdoos Nezhad for their presentations at IEEE CBMS in L’Aquila, Italy this week!

AIME 2023

Congratulations to Asal Azar for her talk (to 200 people!) and to Barbara Draghi and Ylenia Rotalinti for presenting their posters at a packed AIME 2023 conference.

Congratulations to Awad Alyousef

Congratulations to Awad who successfully defended his thesis entitled “Combined Supervised and Unsupervised Learning to Identify Subclasses of Disease for Better Prediction” in January. Thanks to examiners Jaakko Hollmen and Stasha Lauria.

Congratulations to Biraja Ghoshal

Biraja successfully defended his thesis, titled “When the Machine Does Now Know Measuring Uncertainty in Deep Learning Models of Medical Image” on 9th September.

IDA 2022

Toyah Overton presented and Juliana Branescu discussed her poster at the first in-person conference for a while in Rennes, France.

New Papers

Congratulations to those with new publications!:

Toyah Overton, Allan Tucker, Tim James and Dimitar Hristozov. dunXai: DO-U-Net for Explainable (Multi-Label) Image Classification, Intelligent Data Analysis Symposium 2022;

Ghoshal, B., Hikmet, F., Pineau, C., Tucker, A. and Lindskog, C. (2021) ‘DeepHistoClass: A novel strategy for confident classification of immunohistochemistry images using Deep Learning‘. Molecular & Cellular Proteomics, 0 (In Press). pp. 1 – 71. ISSN: 1535-9476

Barnaby E. Walker, Allan Tucker and Nicky Nicolson, Harnessing Large-Scale Herbarium Image Datasets Through Representation Learning, Front. Plant Sci., 13 January 2022 |

Health Data Research UK

The IDA- Group gave a talk at the inaugaural workshop by the HDR UK Synthetic Data Special Interest Group:

Congatulations to Yani Xue

Congratulations Yani Xue for successfully defending here thesis titled “Effective and Efficient Evolutionary Many-Objective Optimization”

Yani Xue

Congratulations to Lilly Yousefi

Congratulations to Lilly Yousefi for passing her PhD viva with minor corrections.

Leila Yousefi

Thesis Title: “Opening Artificial intelligence Black Box Models: Disease Prediction and Patient Personalisation Using Hidden Variable Discovery and Dynamic Bayesian Networks

Lilly is now working at Brunel Biosciences in collaboration with the Turing Institute and UCL.