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ORCID1st AIiH 2024: Swansea, UK - Part II
- Xianghua Xie
, Iain B. Styles, Gibin G. Powathil, Marco Ceccarelli:
Artificial Intelligence in Healthcare - First International Conference, AIiH 2024, Swansea, UK, September 4-6, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14976, Springer 2024, ISBN 978-3-031-67284-2
AI in Proactive Care and Intervention
- Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan:
Cluster and Trajectory Analysis of Multiple Long-Term Conditions in Adults with Learning Disabilities. 3-16 - Fazli Wahid, YingLiang Ma, Vishal Mehta, Sandra Howell, Steven A. Niederer, C. Aldo Rinaldi:
A Deep Learning Framework for Assessing the Risk of Transvenous Lead Extraction Procedures. 17-30
AI-Aided Medical Imaging and Analysis
- Edouard Chatzopoulos, Sébastien Jodogne:
Assessing the Impact of Deep Learning Backbones for Mass Detection in Breast Imaging. 33-47 - Riti Paul, Sahil Vora, Pak Lun Kevin Ding, Ameet Patel, Leland Hu, Baoxin Li, Yuxiang Zhou:
Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI. 48-63 - Nchongmaje Ndipenoch, Alina Dana Miron, Kezhi Wang, Zhan Shu, Yongmin Li:
CVD_Net: Head and Neck Tumor Segmentation and Generalization in PET/CT Scans Across Data from Multiple Medical Centers. 64-76 - Alvaro Rey-Blanes, Enrique Domínguez:
Applying Deep Learning Based Super-Resolution to Knee Imaging. 77-88 - Shengbo Tan, Ying Cai, Yang Zhao, Junjie Hu, Yuanyuan Chen, Chenxi He:
FM-LiteLearn: A Lightweight Brain Tumor Classification Framework Integrating Image Fusion and Multi-teacher Distillation Strategies. 89-103 - Fabio Caraffini, Hassan Eshkiki, Mostafa Mohammadpour, Nikol Sullo, Christopher H. George:
Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks. 104-117 - Asmail Muftah, S. M. Shermer, Frank C. Langbein:
Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in MpMRI. 118-131
Medical Signal and Image Processing
- Shameer Aslam, Qi Chen, Jiaxiang Zhang:
DELRecon: Depth Electrode Reconstruction Toolbox for Stereo-EEG. 135-148 - Abraham Etinosa Enobun, Uche Henry Anakwenze, Aboozar Taherkhani, Zacharias A. Anastassi, Fabio Caraffini, Hassan Eshkiki:
Segmenting Breast Ultrasound Scans Using a Generative Adversarial Network Embedding U-Net. 149-159 - Gilad Rave, Daniel E. Fordham, Alex M. Bronstein, David H. Silver:
Enhancing Predictive Accuracy in Embryo Implantation: The Bonna Algorithm and its Clinical Implications. 160-171 - Afroza Rahman, Miraz Rahman, Md Atiqur Rahman Ahad:
Bacterial Behaviour Analysis Through Image Segmentation Using Deep Learning Approaches. 172-185
Assisted Living Technology
- Mulaedza Mathoho, Dustin van der Haar, Hima Vadapalli:
Innovations in Mosquito Identification: Integrating Deep Learning with Citizen Science. 189-202 - Vincent Gbouna Zakka, Zhuangzhuang Dai, Luis J. Manso:
Action Recognition for Privacy-Preserving Ambient Assisted Living. 203-217
Digital Twinning, Virtual Pathology and Oncology
- W. Joseph MacInnes, Natalia Zhozhikashvili, Matteo Feurra:
Weight Perturbations for Simulating Virtual Lesions in a Convolutional Neural Network. 221-234 - Catherine Little, Richard Gault, Stephanie G. Craig, Jacqueline A. James:
Using GANs to Visualise Class-Specific Features in Digital Histopathology Images. 235-247 - Alaa A. Abd-Alrazaq, Rawan AlSaad, Arfan Ahmed, Hania Aslam, Babul Salam Ksm Kader Ibrahim, Sarah Aziz, Javaid Sheikh:
Artificial Intelligence for Predicting Responses to Thyroid Cancer Treatment. 248-260
Patient Data, Privacy and Ethics
- Chaoyue Lv, Di Lu, Yuanyuan Zhang, Xindi Ma, Yulong Shen, Liping Wang, Jianfeng Ma:
ZMAM: A ZKP-Based Mutual Authentication Scheme for the IoMT. 263-278 - R. Vani Lakshmi, Rahul Sheshan Clare, Asha Kamath:
Demystifying the Ethical Framework for Generative AI in Healthcare: A Data Science Perspective. 279-289 - Megan Lind Morgan, Alma As-Aad Rahat, Gareth Jenkins, Jiaxiang Zhang:
Explainable Machine Learning: Predicting Clinical Outcomes in Welsh Emergency Departments. 290-301 - Georgios Tsoumplekas, Ilias Siniosoglou, Vasileios Argyriou, Ioannis D. Moscholios, Panagiotis G. Sarigiannidis:
Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting. 302-315 - Georgina Cosma, Mohit Kumar Singh, Patrick Waterson, Gyuchan Thomas Jun, Jonathan Back:
Intelligent Multi-document Summarisation for Extracting Insights on Racial Inequalities from Maternity Incident Investigation Reports. 316-329 - Emily Esther Nielsen, Tom Owen, Matthew Roach, Alan J. Dix:
Synthetic Patient Perspective Data for the Curation and Evaluation of Rare Disease Patient-Facing Technology. 330-343
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