1 citations · 1 across the 6 of their papers we have counts for
8 papers · 1 filter
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…
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…