| 2024 | The Impact of Synthetic Data on Fall Detection Application. | Minakshi Debnath, Md Shahriar Kabir, Jianyuan Ni, Anne Hee Hiong Ngu |
| 2024 | Prediction Modelling and Data Quality Assessment for Nursing Scale in a Big Hospital: A Proposal to Save Resources and Improve Data Quality. | Chiara Dachena, Roberto Gatta, Mariachiara Savino, Stefania Orini, Nicola Acampora, M. Letizia Serra, Stefano Patarnello, Christian Barillaro, Carlotta Masciocchi |
| 2024 | Breast Cancer Subtype Prediction Model Integrating Domain Adaptation with Semi-supervised Learning on DNA Methylation Profiles. | Joung Min Choi, Liqing Zhang |
| 2024 | A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images. | Zhijun Chen, Erolcan Sayar, Haoyue Zhang, Helen Richards, Lucas Liu, Baris Turkbey, Michael Haffner, Stephanie A. Harmon |
| 2024 | Applying Gaussian Mixture Model for Clustering Analysis of Emergency Room Patients Based on Intubation Status. | Po-Kuang Chen, Shih-Hsien Sung, Ling Chen |
| 2024 | Enhancing Hypotension Prediction in Real-Time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms. | Xiangru Chen, Milos Hauskrecht |
| 2024 | Explainable AI for Fair Sepsis Mortality Predictive Model. | Chia-Hsuan Chang, Xiaoyang Wang, Christopher C. Yang |
| 2024 | Beyond Self-consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging. | Chia-Hsuan Chang, Mary M. Lucas, Yeawon Lee, Christopher C. Yang, Grace Lu-Yao |
| 2024 | MRI Brain Cancer Image Detection: Application of an Integrated U-Net and ResNet50 Architecture. | Mahshid Benchari, Michael W. Totaro |
| 2024 | Content-Based Medical Image Retrieval for Medical Radiology Images. | Dario Barac, Teo Manojlovic, Mateja Napravnik, Franko Hrzic, Mihaela Mamula Saracevic, Damir Miletic, Ivan Stajduhar |
| 2024 | MRI Scan Synthesis Methods Based on Clustering and Pix2Pix. | Giulia Baldini, Melanie Schmidt, Charlotte Zske, Liliana Lourenco Caldeira |
| 2024 | Explanations of Augmentation Methods for Deep Learning ECG Classification. | Nikil Sharan Prabahar Balasubramanian, Sagnik Dakshit |
| 2024 | Modular Quantitative Temporal Transformer for Biobank-Scale Unified Representations. | Mtys Antal, Mrk Marosi, Tams Nagy, Andrs Millinghoffer, Andrs Gzsi, Gabriella Juhsz, Pter Antal |
| 2024 | Anticipating Stress: Harnessing Biomarker Signals from a Wrist-Worn Device for Early Prediction. | Marina Andric, Mauro Dragoni, Francesco Ricci |
| 2024 | Improving Reminder Apps for Home Voice Assistants. | Abrar S. Alrumayh, Chiu C. Tan |
| 2024 | Secure and Private Vertical Federated Learning for Predicting Personalized CVA Outcomes. | Corinne G. Allaart, Marc X. Makkes, Lea Dijksman, Paul van der Nat, Douwe Biesma, Henri E. Bal, Aart van Halteren |
| 2024 | Supervised Pectoral Muscle Removal in Mammography Images. | Parvaneh Aliniya, Mircea Nicolescu, Monica N. Nicolescu, George Bebis |
| 2024 | Ultrasound Image Segmentation via a Multi-scale Salient Network. | Abdalrahman Alblwi, Kenneth E. Barner |
| 2024 | Self-supervised Segment Contrastive Learning for Medical Document Representation. | Waheed Ahmed Abro, Hanane Kteich, Zied Bouraoui |
| 2024 | An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications. | Brandon Abela, Martin Masek, Jumana Abu-Khalaf, David Suter, Ashu Gupta |
| 2023 | Causal Discovery with Missing Data in a Multicentric Clinical Study. | Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella |
| 2023 | Autoencoder-Based Prediction of ICU Clinical Codes. | Tsvetan R. Yordanov, Ameen Abu-Hanna, Anita C. J. Ravelli, Iacopo Vagliano |
| 2023 | Explainable AI for Medical Event Prediction for Heart Failure Patients. | Weronika Wrazen, Kain Kordian Gontarska, Felix Grzelka, Andreas Polze |
| 2023 | Decentralized Web-Based Clinical Decision Support Using Semantic GLEAN Workflows. | William Van Woensel, Samina Abidi, Syed Sibte Raza Abidi |
| 2023 | Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies. | Junheng Wang, Milos Hauskrecht |