Grants per year
Personal profile
Education/Academic qualification
PhD, Physics, Moscow State University
… → 2002
Fingerprint
Dive into the research topics where Yury Velichko 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
-
Optimizing treatment and advanced multi-imaging response evaluation for very high risk prostate cancer (OPTIMAL)
Sachdev, S. (PD/PI), Ross, A. E. (Co-PD/PI), Bagci, U. (Co-Investigator), Savas, H. (Co-Investigator) & Velichko, Y. (Co-Investigator)
1/31/24 → 1/31/28
Project: Research project
-
Hybrid Intelligence for Trustable Diagnosis And Patient Management of Prostate Cancer (HIT-PIRADS)
Bagci, U. (PD/PI), Miller, F. H. (Co-Investigator), Murphy, A. B. (Co-Investigator), Ross, A. E. (Co-Investigator), Schauer, J. M. (Co-Investigator), Schauer, J. M. (Co-Investigator), Schauer, J. M. (Co-Investigator) & Velichko, Y. (Co-Investigator)
6/22/23 → 5/31/27
Project: Research project
-
Image-guided Interventional Combination Liver Cancer Immunotherapy
Yaghmai, V. (PD/PI), Zhang, Z. (PD/PI), Benson III, A. B. (Co-Investigator), Ji, P. (Co-Investigator), Salem, R. (Co-Investigator) & Velichko, Y. (Co-Investigator)
3/15/20 → 1/2/21
Project: Research project
-
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation
Biswas, K., Pal, R., Patel, S., Jha, D., Karri, M., Reza, A., Durak, G., Medetalibeyoglu, A., Antalek, M., Velichko, Y., Ladner, D., Borhani, A. & Bagci, U., 2025, Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Xu, X., Cui, Z., Sun, K., Rekik, I. & Ouyang, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 1-11 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15241 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
A Probabilistic Hadamard U-Net for MRI Bias Field Correction
Zhu, X., Pan, H., Gundogdu, B., Jha, D., Velichko, Y., Murphy, A. B., Ross, A., Turkbey, B., Cetin, A. E. & Bagci, U., 2025, Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Xu, X., Cui, Z., Sun, K., Rekik, I. & Ouyang, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 208-217 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15241 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Delta Radiomics and Tumor Size: A New Predictive Radiomics Model for Chemotherapy Response in Liver Metastases from Breast and Colorectal Cancer
Gennaro, N., Soliman, M., Borhani, A. A., Kelahan, L., Savas, H., Avery, R. J., Subedi, K., Trabzonlu, T. A., Krumpelman, C., Yaghmai, V., Chae, Y. K., Lorch, J., Mahalingam, D., Mulcahy, M., Benson III, A. B., Bagci, U. & Velichko, Y. S., Mar 2025, In: Tomography. 11, 3, 20.Research output: Contribution to journal › Article › peer-review
Open Access -
Heterogeneity in response to neoadjuvant radiotherapy between soft tissue sarcoma histotypes: associations between radiology and pathology findings
Gennaro, N., van der Loo, I., Reijers, S. J. M., van Boven, H., Snaebjornsson, P., Bekers, E. M., Bodalal, Z., Trebeschi, S., Schrage, Y. M., van der Graaf, W. T. A., van Houdt, W. J., Haas, R. L. M., Velichko, Y. S., Beets-Tan, R. G. H. & Bruining, A., Mar 2025, In: European Radiology. 35, 3, p. 1337-1350 14 p., 5.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning
Zhang, Z., Keles, E., Durak, G., Taktak, Y., Susladkar, O., Gorade, V., Jha, D., Ormeci, A. C., Medetalibeyoglu, A., Yao, L., Wang, B., Isler, I. S., Peng, L., Pan, H., Vendrami, C. L., Bourhani, A., Velichko, Y., Gong, B., Spampinato, C. & Pyrros, A. & 18 others, , Jan 2025, In: Medical Image Analysis. 99, 103382.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations