Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
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MRC Biomedical Data Science Leadership Awards Brochure
BDSLAC Project, C Angione, D Bianco, C Brooksbank, E Caamaño‐Gutiérrez, S Cadman, T Casci, S Cockell, L Cutillo, P Davies, B Deja, A Droop, M Dunning, RE Etherington, A Evans, D Gavaghan, C George, KT Gurwitz, M Hall, J Hillston, D Hughes, M Iles, A Ivens, E Johnson, J Andy, E Karoune, A Khamseh…
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COST action CA22103 Net4Brain: Pan-European network advancing translational research in brain cancer
T Kisková-Šimková, P Simko, M Pešić, A Occhipinti, B Breznik, A Golebiewska, A Athanasiou, T Gazea, A Hajdarpasic, T Booth, TB Onder, Y Kaymaz, C Angione, U Ngameduru, R Jančálek, X Li
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Bridging modalities with AI: a review of AI advances in multimodal biomedical imaging
LMT Doan, K Shahhosseini, S Verma, A Marefat, G Locicero, S Verma, C Angione, A Occhipinti. Cited by 12
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Extracting Multi-Destination Tourism Flows Using LLM-Driven Process Mining: A Case Study of Structural Shifts in Thai Domestic Travel via Social Media Group Before-, During-, and After COVID-19
S Chinwicha, W Krathu, C Nukoolkit, N Atiratana
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ConSurv: Multimodal Continual Learning for Survival Analysis
D Yu, C Xiong, Y Chen, W Cui, X Zhang, Y Zhang, H Chen, JJ� Sung, I King
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Ultrasound Guided Regional Anesthesia using Deep Learning
Author: Dylan Mac Yves UGRA is a research project on nerve segmentation from ultrasound images using deep learning. The study utilizes public dataset of ultrasound images in the
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Self-attention driven transfer learnt deep neural network for improved lung cancer detection from radiographic images
S Ghosh, A Chatterjee. Cited by 3
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From bulk to single-cell and spatial data: An AI framework to characterise breast cancer metabolic dysregulations across modalities
LMT Doan, S Verma, N Eftekhari, C Angione, A Occhipinti. Cited by 3
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NK-A 17E-233I: a novel competitive inhibitor of human dihydroorotate dehydrogenase (DHODH) for cancer therapy
MM Anwar, S Meseguer, N García‐Rodríguez, E Krupinska, C Sèle, A Rodríguez-Jiménez, S Verma, S Sagadevan, J Ramón, R Martí, A Occhipinti, C Angione, P Ordóñez‐Morán, W Knecht, PS Huertas, MA Juanes. Cited by 4
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LLM2TEA: An Agentic AI Designer for Discovery With Generative Evolutionary Multitasking
M Wong, J Liu, T Rios, S Menzel, YS Ong. Cited by 1
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MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning
C Hou, H Yu, G Zhu, JD Anas, J Liu, YS Ong
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Does Changing the Game Metaphor Change the Assessment?
Y Zhou, YZ Hu, Z Xu, J Wu, M Chignell