3 papers indexed
Duc-Thanh Le, Doanh C. Bui, Maï K. Nguyen, Khang Nguyen
Model merging offers a practical alternative to conventional continual learning by integrating independently fine-tuned models without retaining previous training data. Recent state-of-the-art model merging methods employ test-time adaptation (TTA-guided merging) to address distr…
Vu Minh Tran, Doanh C. Bui, Maï K. Nguyen, Khang Nguyen
Survival analysis on Whole Slide Images (WSIs) is important in computational pathology for prognosis estimation and treatment planning. However, existing survival models are typically trained independently for each cancer cohort, making continual adaptation computationally expens…
Djahid Abdelmoumene, Ishak Ayad, Maï K. Nguyen, Christian Daveau
Multi-Frequency Electrical Impedance Tomography (MF-EIT) is a non-invasive, low-cost modality that reconstructs electrical property distributions from boundary voltages. For stroke imaging, progress in 3D deep-learning reconstruction is limited by the lack of large-scale datasets…