7.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kiet Van Nguyen3 profiles21 · h 21
- N. Nguyen17 · h 22
- Son T. Luu2 profiles17 · h 10
- Nguyen Tri Toan Phuc2 profiles14 · h 4
- Quan M. Nguyen13 · h 9
- Trung-Nghia Le2 profiles12 · h 17
- Minh-Triet Tran3 profiles9 · h 11
- Tam V. Nguyen2 profiles9 · h 30
- A. Peleg8 · h 15
- Dieu D. Nguyen8 · h 13
- M. Tran2 profiles8 · h 24
- Phong Quoc Vo8 · h 2
- Ho Chi Minh City University of ScienceVN125 papers
- Ho Chi Minh City University of TechnologyVN29 papers
- Ho Chi Minh City International UniversityVN26 papers
- Ho Chi Minh City University of EducationVN14 papers
- Vietnam Academy of Science and TechnologyVN14 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- The University of TokyoJP10 papers
- Institute for Nuclear Science and TechnologyVN9 papers
- University of DaytonUS9 papers
- Vietnam National University, HanoiVN9 papers
- Tohoku UniversityJP8 papers
- Ton Duc Thang UniversityVN8 papers
4 papers · 2 filters
Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation
Ha-Hieu Pham, Minh Le, Han Huynh +2
Semi-supervised semantic segmentation (SSSS) is vital in computational pathology, where dense annotations are costly and limited. Existing methods often rely on pixel-level consist…
Recent Advances in Medical Image Classification
Loan Dao, Ngoc Quoc Ly
Medical image classification is crucial for diagnosis and treatment, benefiting significantly from advancements in artificial intelligence. The paper reviews recent progress in the…
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
Loan Dao, Ngoc Quoc Ly
Over the past decade, Medical Image Segmentation (MIS) using Deep Neural Networks (DNNs) has achieved significant performance improvements and holds great promise for future develo…
Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding
Tuan-Luc Huynh, Thanh-Danh Le, Tam V. Nguyen +2
In this paper, we address the crucial task of brain tumor segmentation in medical imaging and propose innovative approaches to enhance its performance. The current state-of-the-art…