| Meta-Polyp: a baseline for efficient Polyp segmentation QH Trinh 🗣️ 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | 43 | 2023 |
| SHREC 2021: Retrieval of cultural heritage objects I Sipiran, P Lazo, C Lopez, M Jimenez, N Bagewadi, B Bustos, H Dao, ... Computers & Graphics 100, 1-20, 2021 | 28 | 2021 |
| Pefnet: Positional embedding feature for polyp segmentation TH Nguyen-Mau, QH Trinh, NT Bui, PTV Thi, MV Nguyen, XN Cao, ... International Conference on Multimedia Modeling, 240-251, 2023 | 22 | 2023 |
| SAM-EG: Segment Anything Model with Edge Guidance framework for efficient Polyp Segmentation QH Trinh, HD Nguyen, BTN Ngoc, D Jha, U Bagci, MT Tran Proceedings of the 35th British Machine Vision Conference (BMVC), 2024 | 13 | 2024 |
| M2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation QH Trinh, NT Bui, THN Mau, MV Nguyen, HM Phan, MT Tran, HD Nguyen 2023 31st European Signal Processing Conference (EUSIPCO), 1115, 2023 | 13 | 2023 |
| Multi kernel positional embedding convnext for polyp segmentation TH Nguyen-Mau, QH Trinh, NT Bui, MT Tran, HD Nguyen 2022 RIVF International conference on computing and communication …, 2022 | 13 | 2022 |
| Polypdb: A curated multi-center dataset for development of ai algorithms in colonoscopy D Jha, NK Tomar, V Sharma, QH Trinh, K Biswas, H Pan, RK Jha, ... arXiv preprint arXiv:2409.00045, 2024 | 11 | 2024 |
| HCMUS-Juniors 2020 at Medico Task in MediaEval 2020: Refined Deep Neural Network and U-Net for Polyps Segmentation. QH Trinh, MV Nguyen, TG Huynh, MT Tran MediaEval, 2020 | 8* | 2020 |
| Ensemble of deep neural networks for rice leaf disease classification S Van Ho, HG Vuong, BQ Nguyen, QH Trinh, MT Tran 🏆 Best Paper Award RIVF 2022, 238-243, 2022 | 7 | 2022 |
| Custom deep neural network for 3d covid chest ct-scan classification QH Trinh, M Van Nguyen arXiv preprint arXiv:2107.01456, 2021 | 7 | 2021 |
| Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges D Jha, V Sharma, D Banik, D Bhattacharya, K Roy, SA Hicks, NK Tomar, ... Medical image analysis 99, 103307, 2025 | 6 | 2025 |
| KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation QH Trinh 2024 IEEE International Conference on Multimedia and Expo (ICME), 2024 | 5* | 2024 |
| PRS-MED: Position Reasoning Segmentation in Medical Imaging QH Trinh, MV Nguyen, J Zeng, G Durak, U Bagci, D Jha Medical Imaging with Deep Learning, 2025 | 4* | 2025 |
| Pgds: Pose-guidance deep supervision for mitigating clothes-changing in person re-identification QH Trinh, NT Bui, DH Hoang, PTV Thi, HD Nguyen, D Jha, U Bagci, N Le, ... 🗣️ 2024 IEEE International Conference on Advanced Video and Signal Based …, 2024 | 4 | 2024 |
| Res-Dense Net for 3D Covid Chest CT-Scan Classification QH Trinh, MV Nguyen, TP Nguyen-Dinh International Conference on Image Analysis and Processing, 483-495, 2022 | 4 | 2022 |
| EfficientNet for brain-lesion classification QH Trinh, THN Mau, R Zosimov, MV Nguyen International MICCAI Brainlesion Workshop, 249-260, 2021 | 4 | 2021 |
| Endoscopy Image Retrieval by Mixer Multi-Layer Perceptron QH Trinh, MV Nguyen Annals of Computer Science and Information Systems, 2021 | 4 | 2021 |
| NeIn: Telling What You Don't Want NT Bui, DH Hoang, QH Trinh, MT Tran, T Nguyen, S Gauch 🏆 Proceedings of the Computer Vision and Pattern Recognition Conference …, 2025 | 3 | 2025 |
| Speechsyncnet: Speech to talking landmark via the fusion of prior frame landmark and the audio XN Cao, QH Trinh, VS Ho, MT Tran 2023 IEEE international conference on visual communications and image …, 2023 | 3 | 2023 |
| SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes J Zeng, Y Huang, E Keles, HE Aktas, G Durak, NK Tomar, QH Trinh, ... arXiv preprint arXiv:2508.12410, 2025 | | 2025 |
Minh-Triet TranUniversity of Science & John von Neumann Institute, VNU-HCMVerified email at fit.hcmus.edu.vn
