[Draft, subject to changes]
WEDNESDAY 4TH SEPTEMBER
| 09:15-09:30 | Welcome & Opening Remarks | CoFo 002 |
| 09:30-10:30 | Tutorial: Deep Generative Neural Networks (Part 1) Amir Atapour-Abarghouei, University of Durham | CoFo 002 |
| 10:30-11:00 | Break (tea & coffee) | Atrium |
| 11:00-12:00 | Tutorial: Deep Generative Neural Networks (Part 2) Amir Atapour-Abarghouei, University of Durham | CoFo 002 |
| 12:00-13:00 | Lunch | Atrium |
| 13:00-14:00 | Keynote Jacques Fleuriot, Edinburgh University | CoFo 002 |
| 14:00-15:15 | Best paper candidate session | CoFo 002 |
| Assessing the significance of longitudinal data in Alzheimer’s Disease forecasting Batuhan K Karaman (Cornell); Mert Sabuncu (Cornell) | ||
| Action Recognition for Privacy-preserving Ambient Assisted Living Vincent Gbouna Zakka (Aston University); Zhuangzhuang Dai (Aston University); Luis J. Manso (Aston University) | ||
| GraphDDI: Graph Neural Network for Prediction of Drug-Drug Interaction Suyash Gupta (IIIT Hyderabad); Siddhartha Laghuvarapu (IIIT Hyderabad); Deva Priyakumar (IIIT Hyderabad) | ||
| Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI Riti Paul (Arizona State University); Pak Lun Kevin Ding (Arizona State University); Sahil Vora (Arizona State University); Ameet C Patel (Mayo Clinica Arizona); Leland S Hu (Mayo Clinic); Baoxin Li (Arizona State University); Yuxiang Zhou (Mayo Clinc at Arizona) | ||
| CVD_Net: Head and Neck Tumor Segmentation and Generalization in PET/CT Scans Across Data from Multiple Medical Centers Ndipenoch Nchongmaje (Brunel University London) | ||
| 15:15-15:45 | Break (tea & coffee) | Atrium |
| 15:45-16:45 | Keynote: AI as the future of memory clinics: hype or happening? Timothy Rittman, Cambridge University | CoFo 002 |
| 16:45-17:15 | Digital twinning, virtual pathology and oncology | CoFo 002 |
| Weight Perturbations for Simulating Virtual Lesions in a Convolutional Neural Network Joseph MacInnes (Swansea University); Natalia Zhozhikashvili (HSE University); Matteo Feurra (HSE University) | ||
| Using GANs to visualise class-specific features in Digital Histopathology images Catherine Little (Queen’s University, Belfast); Richard Gault (Queen’s University, Belfast); Stephanie Craig (Queen’s University, Belfast); Jacqueline James (Queen’s University, Belfast) | ||
| 17:30-19:00 | Reception | CoFo Crucible |
THURSDAY 5TH SEPTEMBER
| 09:00-09:15 | Arrival tea & coffee | Atrium |
| 09:15-10:15 | Keynote: Frameworks for reliable deployment of AI in medical imaging Konstantinos Kamnitsas, Oxford University | CoFo 002 |
| 10:15-10:45 | Patient data, privacy and ethics | CoFo 002 |
| Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting Georgios Tsoumplekas (Metamind Innovations P.C.); Ilias Siniosoglou (University of Western Macedonia); Vasileios Argyriou (Kingston University London); Ioannis Moscholios (University of Peloponnese); Panagiotis Sarigiannidis (University of Western Macedonia) | ||
| Intelligent Multi-Document Summarisation for Extracting Insights on Racial Inequalities from Maternity Incident Investigation Reports Georgina Cosma (Loughborough University); Mohit Kumar Singh (Loughborough University ); Patrick Waterson (Loughborough University); Gyuchan Thomas Jun (Loughborough University); Jonathan Back (Health Services Safety Investigations Body (HSSIB)) | ||
| 10:45-11:15 | Break (tea & coffee) Poster Session One presenters to set up posters | Atrium |
| 11:15-12:00 | Personalised Healthcare and Medicine | CoFo 002 |
| Augmenting Infrequent Relationships in Clinical Language Models with Graph-Encoded Hierarchical Ontologies Suraj N Ramchand (Swansea University); Xianghua Xie (Swansea University) | ||
| Identifying Clusters on Multiple Long-Term Conditions For Adults with Learning Disabilities Emeka Abakasanga (Loughborough University); Rania Kousovista (Loughborough University); Georgina Cosma (Loughborough University); Gyuchan Jun (Loughborough University); Reza Kiani (Leicestershire Partnership NHS Trust); Satheesh Gangadharan (Leicestershire Partnership NHS Trust) | ||
| Interpreting Pretrained Speech Models for Automatic Speech Assessment of Voice Disorders Hok-Shing Lau (University of Wales Trinity Saint David); Mark Huntly (University of Wales Trinity Saint David); Nathan Morgan (University of Wales Trinity Saint David); Adesua Iyenoma (University of Wales Trinity Saint David); Biao Zeng (University of South Wales); Tim Bashford (University of Wales Trinity Saint David) | ||
| 12:00-13:30 | Lunch & Poster Session One | Atrium |
| 13:30-15:30 | Plenary Panel Session: Translating AI Research into Practice Chair: Iain Styles, Queen’s University Belfast | CoFo 002 |
| Artificial Intelligence and Rare Diseases: Addressing Clinical Needs Alba Di Pardo, IRCCS Istituto Neurologico Mediterraneo Neuromed, Italy | ||
| TITLE: TBA Noura Al Moubayed, Durham University & Evergreen Life | ||
| Generative AI for Pharmaceutical Company: Emerging Opportunities Haoda Fu, Eli Lilly and Company, USA | ||
| Panel Discussion Chair: Iain Styles, Queen’s University Belfast | ||
| 15:30-16:00 | Break (tea & coffee) | Atrium |
| 16:00-16:45 | AI in mental health | CoFo 002 |
| Evaluating the Feasibility and Acceptability of a GPT-based Chatbot for Depression Screening: A Mixed-Methods Study Zhijun Guo (UCL); Alvina Lai (UCL); Zhouyiyi Deng (UCL); Kezhi Li (UCL) | ||
| Structural Brain Network Generation via Brain Denoising Diffusion Probabilistic Model Hongjie Jiang (Southern University of Science and Technology); Xuhang Chen (University of Macau); Shuqiang Wang (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences) | ||
| Conversation Analysis of Remote Dialogue System for Mental Health Interventions Shengzhou Yi (The University of Tokyo); Toshiaki Kikuchi (Keio University); Toshihiko Yamasaki (The University of Tokyo) | ||
| 16:45-17:00 | Assisted living technology | CoFo 002 |
| Innovations in Mosquito Identification: Integrating Deep Learning with Citizen Science Mulaedza Mathoho (University of Johannesburg); Dustin T van der Haar (University of Johannesburg); Hima Vadapalli (University of Witwatersrand, University of Johannesburg) |
FRIDAY 6TH SEPTEMBER
| 09:00-09:15 | Arrival tea & coffee | Atrium |
| 09:15-10:15 | Keynote: Signature-based ML models help sepsis prediction despite the subtle effects of label extraction Hao Ni, University College London | CoFo 002 |
| 10:15-10:45 | Invited Talk: AI driven robotics for healthcare | CoFo 002 |
| 10:45-11:15 | Break (tea & coffee) Poster Session Two presenters to set up posters | Atrium |
| 11:15-12:00 | AI driven robotics for healthcare | CoFo 002 |
| Design and operation requirements for an ankle assisting device Giovanni Mastrangelo (University of Rome Tor Vergata); Marco Ceccarelli (University of Rome Tor Vergata); Matteo Russo (University of Rome Tor Vergata) | ||
| Development of a control algorithm for an ankle joint rehabilitation device Zhetenbayev Nursultan (Almaty University of Power Engineering and Telecommunications); Gani Sergazin (Eurasian National University); Gulzhamal Tursunbayeva (Eurasian National University); Arman Uzbekbayev (RI of «Applied science and technologies» LPP); Batyrkhan Kyrykbayev (Almaty University of Power Engineering and Telecommunications) | ||
| Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly Daniele Cafolla (Swansea University) | ||
| 12:00-13:30 | Lunch & Poster Session Two | Atrium |
| 13:30-14:30 | Keynote: Development of life support devices by using Inclusive design Eiichiro Tanaka, Waseda University, Japan | CoFo 002 |
| 14:30-15:00 | AI driven robotics for healthcare | |
| Towards Quantification of Eye Contacts Between Trainee Doctors and Simulated Patients in Consultation Videos Yash Deshmukh (Keele University); Bappaditya Mandal (Keele University); Peter Yeates (Keele University); Jenni Watson (Keele University) | ||
| Promoting Healthy Eating Habits via Intelligent Virtual Assistants, Improving Monitoring by Nutritional Specialists: State of the Art Jaime Cruz Casados (Universidad Autónoma de Tamaulipas); Miriam Janet Cervantes López (Universidad Autónoma de Tamaulipas); Richard de Jesús Gil Herrera (Universidad Internacional de la Rioja) | ||
| 15:00-15:30 | AI-aided medical imaging and analysis | CoFo 002 |
| FM-LiteLearn: A Lightweight Brain Tumor Classification Framework Integrating Image Fusion and Multi-Teacher Distillation Strategies Shengbo Tan (Southwest Minzu University); Cai Ying (Southwest Minzu University); Yang Zhao (La Trobe University); Junjie Hu (Sichuan University); Yuanyuan Chen (Sichuan University); Chenxi He (Southwest Minzu University) | ||
| Towards improving single-cell segmentation in heterogeneous configurations of cardiomyocyte networks Fabio Caraffini (Swansea University); Hassan Eshkiki (Swansea university); Mostafa Mohammadpour (Johannes Kepler University); Nikol Sullo (Swansea University); Christopher George (Swansea University) | ||
| 15:30-15:45 | Best Poster Prize & Closing remarks | CoFo 002 |
| 15:45-16:15 | Leaving tea and coffee | Atrium |
POSTER SESSION ONE – THURSDAY
| P01 | Responsible and Ethical AI for Mental Health Contexts: A Focus on Conservative Communities and Annie the Chatbot Wendy A Booth (University of South Wales); Dr Mabrouka Abuhmida (University of South Wales) |
| P02 | Unveiling Disparities in Maternity Care: A Topic Modelling Approach to Analysing Maternity Incident Investigation Reports Georgina Cosma (Loughborough University); Mohit Kumar Singh (Loughborough University ); Patrick Waterson (Loughborough University); Gyuchan Thomas Jun (Loughborough University ); Jonathan Back (Health Services Safety Investigations Body (HSSIB) |
| P03 | Cluster and Trajectory Analysis of Multiple Long Term Conditions in Adults with Learning Disabilities Emeka Abakasanga (Loughborough University); Rania Kousovista (Loughborough University); Georgina Cosma (Loughborough University); Gyuchan Jun (Loughborough University); Reza Kiani (Leicestershire Partnership NHS Trust); Satheesh Gangadharan (Leicestershire Partnership NHS Trust) |
| P04 | A Deep Learning Framework for Assessing the Risk of Transvenous Lead Extraction Procedures Fazli Wahid (University of East Anglia); YingLiang Ma (University of East Anglia); Vishal Mehta (School of Imaging Sciences and Biomedical Engineering , King’s College London); Sandra N Howell (KCL); Steven Niederer (King’s College London); C Aldo Rinaldi (School of Imaging Sciences and Biomedical Engineering , King’s College London) |
| P05 | Assessing the Impact of Deep Learning Backbones for Mass Detection in Breast Imaging Edouard Chatzopoulos (UCLouvain); Sébastien Jodogne (UCLouvain) |
| P06 | Enhancing One-Shot CT Image Segmentation with SAM and CLIP Prompt Learning Choo Sin Wai (Northwestern Polytechnical University); Zhibin Liao (University of Adelaide); Bo Li (Northwestern Polytechnical University); Lin Yuanbo Wu (Swansea University) |
| P07 | Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI Asmail Muftah (Azzaytuna University; Cardiff University); Sophie Shermer (Swansea University); Frank C Langbein (Cardiff University) |
| P08 | Effect of Face Obfuscation Methods on Pose-Based Action Recognition Muhammad Ahmed Raza (University of Edinburgh); Chris Lochhead (University of Edinburgh); Robert B Fisher (University of Edinburgh) |
| P09 | Artificial Intelligence for Predicting Responses to Thyroid Cancer Treatment Alaa Abd-alrazaq (Weill Cornell Medicine-Qatar); Rawan AlSaad (Weill Cornell Medicine-Qatar); Arfan Ahmed (Weill Cornell Medicine-Qatar); Hania Aslam ( Weill Cornell Medicine-Qatar); Babul Salam (Gulf University for Science & Technology); Sarah Aziz (Weill Cornell Medicine-Qatar); Javaid Sheikh ( Weill Cornell Medicine-Qatar) |
| P10 | Generative AI-powered Chronic Kidney Disease Exam Candidates’ Practice Test with Self-Grading Intissar HADDIYA (Faculty of medicine and pharmacy University Mohammed Premier); Andrea Pitrone (Loop AI Group) |
| P11 | Patient Data and Privacy in the Realm of Extended Reality: A Digital Health Perspective Rahul Sheshan Clare (Manipal Academy of Higher Education); Vani Lakshmi R (Manipal Academy of Higher Education); Sucheta Kolekar (Manipal Institute of Technology, Manipal Academy of Higher Education,); Asha Kamath (Manipal Academy of Higher Education) |
| P12 | ZMAM: A ZKP-Based Mutual Authentication Scheme for the IoMT Chaoyue Lv (Xidian University); Di Lu (Xidian University); Yuanyuan Zhang (Honghui Hospital, Xi’an Jiaotong University); Xindi Ma (Xidian University); Yulong Shen (Xidian University); Liping Wang (Honghui Hospital, Xi’an Jiaotong University); Jianfeng Ma (Xidian University) |
| P13 | Demystifying the Ethical Framework for Generative AI in Healthcare: A Data Science Perspective Vani Lakshmi R (Manipal Academy of Higher Education)*; Rahul Sheshan Clare (Manipal Academy of Higher Education); Asha Kamath (Manipal Academy of Higher Education) |
| P14 | Explainable Machine Learning: Predicting Clinical Outcomes in Welsh Emergency Departments Megan L Morgan (Swansea University); Alma Rahat; Gareth Jenkins (NHS – Hywel Dda University Health Board); Jiaxiang Zhang (Swansea University) |
| P15 | Synthetic Patient Perspective Data for the Curation and Evaluation of Rare Disease Patient-Facing Technology Emily E Nielsen (Swansea University); Tom Owen (Swansea University); Matt Roach (Swansea University); Alan Dix (Swansea University and Cardiff Metropolitan University) |
| P16 | Applying Deep Learning based Super-Resolution to Knee Imaging Álvaro Rey-Blanes (University of Malaga); Enrique Dominguez (University of Malaga) |
POSTER SESSION TWO – FRIDAY
| P01 | Deep Relative Learning for Prediction of Preclinical Alzheimer’s Disease Nupur Thakur (Arizona State University); Riti Paul (Arizona State University); Baoxin Li (Arizona State University); Oana Dumitrascu (Mayo Clinic); Yuxiang Zhou (Mayo Clinic at Arizona) |
| P02 | Bacterial Behaviour Analysis through Image Segmentation using Deep Learning Approaches Afroza Rahman (University of East London); Khondaker Miraz Rahman (King’s College London); Md Atiqur Rahman Ahad (University of East London) |
| P03 | Word or Phoneme? To Optimise Prosodic Features to Predict Lung Function with Helicopter Task Biao Zeng (University of South Wales); Hok-Shing Lau (University of Wales Trinity Saint David); Mark Huntly (University of Wales Trinity Saint David); Tim Bashford (University of Wales Trinity Saint David); Nathan Morgan (University of Wales Trinity Saint David); Chelsea Owen (University of South Wales); Lauren Game (University of South Wales) |
| P04 | Electrical Impedance Spectroscopy based Preterm Birth Prediction with Machine Learning Mengxiao Wang (the University of Sheffield); Ziqiang Lang (University of Sheffield) |
| P05 | Transfer Learning in Hypoglycemia Classification Beyza Cinar (Helmut-Schmidt-Universität – Universität der Bundeswehr Hamburg); Florian Grensing (Helmut-Schmidt-Universität – Universität der Bundeswehr Hamburg); Louisa van den Boom (Children’s Hospital, University of Bonn, Bonn, Germany); Maria Maleshkova (Helmut-Schmidt-Universität – Universität der Bundeswehr Hamburg) |
| P06 | A Comparative Analysis of Eleven Augmentation Techniques for Enhanced Retinal Pathology Recognition Mahdi Hadef (EMP)*; Said Yacine Boulahia (école militaire polytechnique); abdenour amamra (EMP) |
| P07 | Multi-Stage Chronic Kidney Disease Classification on Longitudinal Data Ali Guran (Swansea University); Gary Tam (Swansea University); James Chess ( Wales Kidney Research Unit and Morriston Hospital); Xianghua Xie (Swansea University) |
| P08 | Contrastive Multitask Transformer for Hospital Mortality and Length-of-Stay Prediction Fergus H Pick (Swansea University); Xianghua Xie (Swansea University); Lin Yuanbo Wu (Swansea University) |
| P09 | Machine and deep learning approaches for monitoring predictive in healthcare Mauro Mazzei (CNR, Italian National Research Council) |
| P10 | Laboratory experiences with an intelligent robotic crank for arm exercises Susana Sanz (University Carlos III of Madrid,)*; Vicente Díaz (University Carlos III of Madrid); Marco Ceccarelli (University of Rome Tor Vergata); Matteo Russo (University of Rome Tor Vergata) |
| P11 | ADALINE neurons used for targeting performance on the Deep Brain Stimulation platform Karla N Silva Garces (Instituto Politecnico Nacional); Fiacro Jimenez-Ponce (Hospital General de México); Christopher René rené Torres SanMiguel (Instituto Politécnico Nacional) |
| P12 | DELRecon: Depth Electrode Reconstruction Toolbox for Stereo-EEG Shameer Aslam (Swansea University); Qi Chen (South China Normal University); Jiaxiang Zhang (Swansea University) |
| P13 | Segmenting breast ultrasound scans using a generative adversarial network embedding U-Net Aboozar Taherkhani (De Montfort University); Fabio Caraffini (Swansea University); Hassan Eshkiki (Swansea university) |
| P14 | Enhancing Predictive Accuracy in Embryo Implantation: The Bonna Algorithm and Its Clinical Implications David H Silver (Rhea Labs); Daniel Fordham (Rhea Labs); Gilad Rave (Rhea Labs); Alex Bronstein (Technion) |
| P15 | TBA TBA |