VinDr Lab: Open-source data platform for medical AI
One of the biggest challenges in developing solutions for medical image diagnosis is the lack of efficient open-source annotation...
Read MoreThe Smart Health Center at VinBigdata aims to build the VinDr ecosystem that revolutionizes the storage, processing, analysis, and understanding of medical data.
VinDr-ChestXR is a CAD tool for chest X-ray interpretation. It is able to identify 52 types of common abnormalities and diseases on chest X-ray.
The system has been trained and validated on half a million chest X-ray studies from both public sources and several hospitals in Vietnam. The bounding box annotation and disease labeling for our private dataset have been performed by top Vietnamese radiologists. The accuracy of the system is above 90% for almost all diseases and findings.
VinDr-SpineXR is a CAD tool for spine x-ray interpretation. It is able to classify a spine X-ray scan as normal and abnormal. The system can also localize 6 types of common abnormalities on the image.
VinDr-SpineXR has been trained and validated on a large-scale dataset of approximately 10 000 studies collected from several hospitals in Vietnam, in which the bounding box annotation and disease labeling have been performed by top Vietnamese radiologists. The accuracy for the abnormality detection is about 60% in terms of mAP@0.2.
VinDr-Mammo is a CAD tool for mammography interpretation. It is able to classify a mammography study into 3 BI-RADS (Breast Imaging-Reporting and Data System) levels and 4 types of breast density. The system can also localize 13 types of common abnormalities on mammography.
VinDr-Mammo has been trained and validated on about 50,000 studies collected from several hospitals in Vietnam. The bounding box annotation and disease labeling for this private dataset have been performed by top Vietnamese radiologists. The accuracy for BI-RADS classification is above 80%.
VinDr-ChestCT is a CAD tool for Chest CT interpretation. It is able to identify 6 thoracic diseases and localize 24 types of common abnormalities on Chest CT scans.
The system will be trained and validated on about 30,000 studies collected from both public sources and several hospitals in Vietnam. The bounding box annotation (on 3-D volumes) and disease labeling for our private dataset have been performed by top Vietnamese radiologists.
VinDr-LiverCT is a CAD tool for abdomen CT interpretation. It is able to identify 10 liver diseases, including different types of liver cancer, and localize 24 types of common liver abnormalities on abdomen CT scans.
The system will be trained and validated on about 10,000 studies collected from both public sources and several hospitals in Vietnam. The bounding box annotation (on 3-D volumes) and disease labeling for our private dataset have been performed by top Vietnamese radiologists.
VinDr-BrainCT is a CAD tool for brain CT interpretation. It is able to identify 9 brain diseases, including several types of stroke, and localize 17 types of common abnormalities on brain CT scans.
The system will be trained and validated on about 30,000 studies collected from both public sources and several hospitals in Vietnam. The bounding box annotation (on 3-D volumes) and disease labeling for our private dataset have been performed by top Vietnamese radiologists.
VinDr-BrainMR is a CAD tool for brain MRI interpretation. It is able to identify 9 brain diseases, including brain tumor, and localize 20 types of common abnormalities on brain MRI scans.
The system will be trained and validated on about 3,000 studies collected from both public sources and several hospitals in Vietnam. The bounding box annotation (on 3-D volumes) and disease labeling for our private dataset have been performed by top Vietnamese radiologists.
Hieu T. Nguyen, Ha Q. Nguyen, Hieu H. Pham, Khanh Lam, Linh T. Le, Minh Dao, Van Vu – Nature Scientific Data, 2023
Hieu H. Pham, Ngoc H. Nguyen, Thanh T. Tran, Tuan N.M. Nguyen, Ha Q. Nguyen – Nature Scientific Data, 2023
Khiem H. Le, Tuan V. Tran, Hieu H. Pham, Hieu T. Nguyen, Tung T. Le, Ha Q. Nguyen – IEEE Access, 2023.
Dat T. Ngo, Thao T.B. Nguyen, Hieu T. Nguyen, Dung B. Nguyen, Ha Q. Nguyen, Hieu H. Pham – 2023 IEEE Statistical Signal Processing Workshop (SSP), 2023.
Ha Q. Nguyen, Khanh Lam, Linh T. Le, Hieu H. Pham, Dat Q. Tran, Dung B. Nguyen, Dung D. Le, Chi M. Pham, Hang T. T. Tong, Diep H. Dinh, Cuong D. Do, Luu T. Doan, Cuong N. Nguyen, Binh T. Nguyen, Que V. Nguyen, Au D. Hoang, Hien N. Phan, Anh T. Nguyen, Phuong H. Ho, Dat T. Ngo, Nghia T. Nguyen, Nhan T. Nguyen, Minh Dao, Van Vu – Nature Scientific Data, 2022.
Thao Nguyen, Tam M. Vo, Thang V. Nguyen, Hieu H. Pham, Ha Q. Nguyen – PLOS ONE, 2022
Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Lam Khanh – IEEE Access, 2022.
Huyen T. X. Nguyen, Sam B. Tran, Dung B. Nguyen, Hieu H. Pham, and Ha Q. Nguyen – IEEE International Engineering in Medicine and Biology Conference (EMBC 2022), Glasgow, Scotland, July, 2022
Ngoc Huy Nguyen, Ha Quy Nguyen, Nghia Trung Nguyen, Thang Viet Nguyen, Hieu Huy Pham, Tuan Ngoc-Minh Nguyen – Frontiers in Digital Health, 2022
Binh T. Dao, Thang V. Nguyen, Hieu H. Pham, and Ha Q. Nguyen – Medical Physics, 2022.
Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu – International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021).
Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen – IEEE/CVF International Conference on Computer Vision Workshops (ICCV Workshop 2021)
Hieu H. Pham, Dung V. Do, Ha Q. Nguyen – IEEE/CVF International Conference on Computer Vision Workshops (ICCV Workshop 2021)
Hoang C. Nguyen, Tung T. Le, Hieu H. Pham, Ha Q. Nguyen – International Conference on Medical Imaging with Deep Learning (MIDL 2021).
Sharib Ali, Mariia Dmitrieva, Noha Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Le Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James East, Jens Rittscher – Medical Image Analysis Volume 70, May 2021.
Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen – Neurocomputing, 2021.
Hieu T. Nguyen, Tung T. Le, Thang V. Nguyen and Nhan T. Nguyen – The 6th International Workshop on Brain Lesions 2020, MICCAI 2020, Peru, October (2020).
Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen – Short paper, Proceedings of Medical Imaging with Deep Learning (MIDL 2020).
Nhan T. Nguyen, Dat Q. Tran, Dung B. Nguyen – IEEE International Symposium on Biomedical Imaging (ISBI 2020).
Nhan T. Nguyen, Dat Q. Tran, Nghia T. Nguyen, Ha Q. Nguyen – Short paper, Proceedings of Medical Imaging with Deep Learning (MIDL 2020).
Ph.D. UIUC, M.Sc. MIT, Postdoc EPFL
DirectorB.Sc. FTU
VinDr CAD Team LeadB.Sc. UET
AI Research EngineerB.Sc. HUST
Software EngineerB.Sc. HUST
Software EngineerB.Sc. HUST
AI Research EngineerOne of the biggest challenges in developing solutions for medical image diagnosis is the lack of efficient open-source annotation...
Read MoreChỉ mất vài giây cho mỗi ca chụp, VinDr đã cho kết quả với độ chính xác trung bình...
Read More(khoahocdoisong.vn) – Từ tháng 7/2021, Bệnh viện Đại học Y Hà Nội đã ứng dụng công nghệ AI của...
Read More