Research output per year
Research output per year
Personal profile
Research Interests
My primary research areas are Artifical Intellgience in Medical Imaging, Machine Learning and Deep Learning in Image Processing and Medical Image Analysis, Statistical Pattern Recognition and statistical issues related to radiologic studies. More specifically, my research focuses on CAD on breast cancer detection in screening mammograms, whole-body CT segmentation, computational human anatomy, and construction of human voxel models for radiation dose calculation.
Supervision
- Registered
Research Areas
- Digital health
Supervisory Interests
- Medical image analysis
- Machine learning
- Artificial intelligence and image processing
- Data science
- Biomedical engineering
Fingerprint
Dive into the research topics where Gobert Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Imaging evaluation of a proposed 3D generative model for MRI to CT translation in the lumbar spine
Roberts, M., Hinton, G., Wells, A. J., Van Der Veken, J., Bajger, M., Lee, G., Liu, Y., Chong, C., Poonnoose, S., Agzarian, M. & To, M. S., Nov 2023, In: Spine Journal. 23, 11, p. 1602-1612 11 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Enhanced Passive Stormwater Infiltration Improves Urban Melia Azedarach Functioning in Dry Season
Gleeson, X., Johnson, T., Lee, G., Zhou, Y. & Guan, H., 30 Mar 2022, In: Frontiers in Climate. 4, 14 p., 783905.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)63 Downloads (Pure) -
Lumbar Spine CT synthesis from MR images using CycleGAN: A preliminary study
Bajger, M., To, M. S., Lee, G., Wells, A., Chong, C., Agzarian, M. & Poonnoose, S., 2021, 2021 Digital Image Computing: Techniques and Applications (DICTA). Zhou, J., Salvado, O., Sohel, F., Borges, P. & Wang, S. (eds.). New York, USA: Institute of Electrical and Electronics Engineers, 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT
Howes, M., Bajger, M., Lee, G., Bucci, F. & Martelli, S., 2021, 2021 Digital Image Computing : Techniques and Applications DICTA. Zhou, J., Salvado, O., Sohel, F., Borges, P. & Wang, S. (eds.). New York, USA: Institute of Electrical and Electronics Engineers, 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
Mammographic mass identification in dense breasts using multi-scale analysis of structured micro-patterns
Sajeev, S., Bajger, M., Lee, G., Muramatsu, C. & Fujita, H., 2020, 15th International Workshop on Breast Imaging, IWBI 2020. Bosmans, H., Marshall, N. & Van Ongeval, C. (eds.). Washington, USA: SPIE, 6 p. 1151323. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11513).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review