1 citations · 1 across the 6 of their papers we have counts for
9 papers
Benchmarking Data-Free Continual Model Merging for Whole-Slide Image Survival Analysis
Vu Minh Tran, Doanh C. Bui, Maï K. Nguyen +1
Continual survival analysis on whole-slide images (WSIs) requires models to integrate knowledge from sequentially arriving cancer cohorts while preserving previously learned inform…
On Parameter Symmetries and Conservation Laws in Gradient Flow
Khang Nguyen, Guido Montúfar
Parameter space symmetries and conservation laws play an important role in understanding the loss landscapes and implicit biases of neural networks. Inspired by Noether's theorem i…
CG-GLORE: A Conjugate Gradient-Based Global-Local Regularization Network for Sparse-View CT Reconstruction
Tran Xuan Hieu Le, Doanh C. Bui, Vu Trung Duong Le +5
Sparse-view computed tomography (CT) reduces radiation dose by acquiring fewer projection views, but the resulting inverse problem is highly ill-posed and often produces severe str…
Toward Efficient Weakly Supervised Semantic Segmentation Using Only Low-Magnification Histopathological Images
Dung Minh Do, Nhat-Thanh Huynh, Duc Minh Huynh +2
Whole-slide images (WSIs) provide rich tissue-level and cellular-level information, but storing and transmitting high-magnification pathology data is resource-intensive. Moreover,…
Benchmarking UAV-based Vehicle Re-Identification under Simulated Weather Conditions
Vu Minh Tran, Khang Nguyen
UAV-based vehicle re-identification (ReID) has emerged as a promising technique for traffic surveillance, urban monitoring, and public-safety applications thanks to the flexible vi…
Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis
Duc-Thanh Le, Doanh C. Bui, Maï K. Nguyen +1
Model merging offers a practical alternative to conventional continual learning by integrating independently fine-tuned models without retaining previous training data. Recent stat…
MergeSurv: Merging-Based Continual Learning for Survival Analysis on Whole-Slide Images
Vu Minh Tran, Doanh C. Bui, Van-Hau Pham +2
Survival analysis on Whole Slide Images (WSIs) is important in computational pathology for prognosis estimation and treatment planning. However, existing survival models are typica…
MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
Doanh C. Bui, Ba Hung Ngo, Hoai Luan Pham +3
Lifelong learning on Whole Slide Images (WSIs) aims to train or fine-tune a unified model sequentially on cancer-related tasks, reducing the resources and effort required for data…
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation
Doanh C. Bui, Hoai Luan Pham, Vu Trung Duong Le +4
Whole Slide Images (WSIs) play a crucial role in accurate cancer diagnosis and prognosis, as they provide tissue details at the cellular level. However, the rapid growth of computa…