| 2023 | Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring. | Tetsuya Asakawa, Yuki Sugimoto, Hiroki Shinoda, Kazuki Shimizu, Takuya Togawa, Takuyuki Komoda, Masaki Aono |
| 2023 | Natural Language Processing for Clinical Quality Measures. | Juan F. Arias |
| 2023 | Imputation of missing clinical, cognitive and neuroimaging data of Dementia using missForest, a Random Forest based algorithm. | Federica Aracri, Maria Giovanna Bianco, Andrea Quattrone, Alessia Sarica |
| 2023 | Detection of cerebral ischaemia using transfer learning techniques. | Cristina Antn-Munrriz, Rafael Pastor Vargas, Juan Mario Haut, Antonio Robles-Gmez, Mercedes Eugenia Paoletti, Jos Alberto Bentez-Andrades |
| 2023 | Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine Learning. | Gianluca Amprimo, Irene Rechichi, Claudia Ferraris, Gabriella Olmo |
| 2023 | Fully Automatic Grading of Retinal Vasculitis on Fluorescein Angiography Time-lapse from Real-world Data in Clinical Settings. | Victor Amiot, Oscar Alfonso Jimnez del Toro, Pauline Eyraud, Yan Guex-Crosier, Ciara Bergin, Andr Anjos, Florence Hoogewoud, Mattia Tomasoni |
| 2023 | AI-powered image acquisition and characterisation of dressings for patient-centred wound management. | Pedro Alves, Ana Filipa Sampaio, Nuno Cardoso, Paulo Jorge Pereira Alves, Pedro Salgado, Maria Joo M. Vasconcelos |
| 2023 | A FAIR Approach to Real-World Health Data Management and Analysis. | Joo Rafael Almeida, Jorge Miguel Silva, Jos Lus Oliveira |
| 2023 | Computer-based Blind Diagnostic System for Classification of Healthy and Disordered Voices. | Zulfiqar Ali, Alba Garcia Seco de Herrera, Tamer A. Mesallam, Ghulam Muhammad |
| 2023 | Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy: *2022 35th International Symposium on Computer-Based Medical Systems (CBMS). | Dima R. Alattal, Zhenchen Wang, Puja Myles, Allan Tucker |
| 2023 | COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning. | Mahbub Ul Alam, Jaakko Hollmn, Rahim Rahmani |
| 2023 | Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer. | Fatih Aksu, Fabrizia Gelardi, Arturo Chiti, Paolo Soda |
| 2023 | Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. | Erikson Jlio De Aguiar, Mrcus V. L. Costa, Caetano Traina, Agma J. M. Traina |
| 2023 | Machine Learning-Based Classification of Hypertension using CnD Features from Acceleration Photoplethysmography and Clinical Parameters. | Saad Abdullah, Abdelakram Hafid, Maria Lindn, Mia Folke, Annica Kristoffersson |
| 2022 | ECG heartbeat classification based on combined features extracted by PCA, KPCA, AKPCA and DWT. | Junhao Zhu, Yi Zeng, Jianheng Zhou, Xunde Dong |
| 2022 | Automatic Detection of Prostate Cancer Systemic Lesions Based on Deep Learning and | Shaonan Zhong, Yuxuan Wu, Zhantao Liu, Zhaohong Pan, Bingsheng Huang, Qinqin Yang |
| 2022 | Contrastive learning-based Adenoid Hypertrophy Grading Network Using Nasoendoscopic Image. | Siting Zheng, Xuechen Li, Mingmin Bi, Yuxuan Wang, Haiyan Liu, Xiaoshan Feng, Yunping Fan, Linlin Shen |
| 2022 | Breast Lesions Segmentation using Dual-level UNet (DL-UNet). | Yanjiao Zhao, Zhihui Lai, Linlin Shen, Heng Kong |
| 2022 | A novel CNN model with dense connectivity and attention mechanism for arrhythmia classification. | Qin Zhan, Peilin Li, Yongle Wu, Jingchun Huang, Xunde Dong |
| 2022 | Ethically Informed Software Process for Smart Health Home. | Xiang Zhang, Matthew Pike, Nasser Mustafa, Vladimir Brusic |
| 2022 | MRI-guided Automated Delineation of Gross Tumor Volume for Nasopharyngeal Carcinoma using Deep Learning. | Meiyan Yue, Zhenhui Dai, Jiahui He, Yaoqin Xie, Nazar Zaki, Wenjian Qin |
| 2022 | A goal-driven approach for clinical decision conflict detection and its application to the treatment of multimorbidity. | Yunlong Ye, Liang Xiao |
| 2022 | Graph-based Regional Feature Enhancing for Abdominal Multi-Organ Segmentation in CT. | Zefan Yang, Yi Wang |
| 2022 | Towards Evidence-based Argumentation Graph for Clinical Decision Support. | Liang Xiao |
| 2022 | Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI. | Hong Wu, Yingwen Huo, Yupeng Pan, Zeyan Xu, Rian Huang, Yu Xie, Chu Han, Zaiyi Liu, Yi Wang |