Projects per year
Personal profile
Biography
Dr Carlo Russo is a computer scientist and Research Associate at the Computational NeuroSurgery (CNS) Lab at Macquarie University, Sydney. He works on application and development of algorithms for image analysis in the neurosciences using non-linear geometry, including fractal analysis, and deep learning. He has previously worked more than 15 years at Humanitas Research Hospital in Rozzano, Milan (Italy), where he developed innovative software and hardware aimed to introduce computer aided automatic diagnosis tools both in research and in clinical workflows. His studies include the application of fractal geometry to histopathology and radiology images. He is author and co-author of 18 peer-reviewed articles and 5 patents
Fingerprint
Dive into the research topics where Carlo Russo 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
Projects
- 1 Active
-
Computational Neurosurgery Lab
Di Ieva, A. (Primary Chief Investigator), George, L. (Primary Chief Investigator), Azemi, G. (Primary Chief Investigator), Suero Molina, E. (Primary Chief Investigator), Russo, C. (Primary Chief Investigator), Liu, S. (Primary Chief Investigator), Guller, A. (Primary Chief Investigator), Tabassum, M. (Primary Chief Investigator), Kumari, P. (Primary Chief Investigator), Igrunkova, A. (Primary Chief Investigator), Unnikrishnan, S. (Primary Chief Investigator) & Beheshti, A. (Primary Chief Investigator)
1/01/19 → …
Project: Research
-
Developing a ground truth for a convolutional neural network-based segmentation of anatomical structures in endoscopic ear surgery videos
Kondo, M., Russo, C., Fadhil, M., Hunter, B., Chen, L., Darbari Kaul, R., Rana, P., Song, Y., Jufas, N., Di Ieva, A. & Patel, N., Aug 2025, In: Auris Nasus Larynx. 52, 4, p. 342-345 4 p.Research output: Contribution to journal › Article › peer-review
-
Predicting intraoperative 5-ALA-induced tumor fluorescence via MRI and deep learning in gliomas with radiographic lower-grade characteristics
Suero Molina, E., Azemi, G., Özdemir, Z., Russo, C., Krähling, H., Valls Chavarria, A., Liu, S., Stummer, W. & Di Ieva, A., Feb 2025, In: Journal of Neuro-Oncology. 171, 3, p. 589-598 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile19 Downloads (Pure) -
Synthetic [18F]FET-PET generation and hotspot prediction via preoperative MRI of glioma lacking radiographic high-grade characteristics
Molina, E. S., Tabassum, M., Azemi, G., Oezdemir, Z., Chavarria, A. V., Roll, W., Schindler, P., Thomas, C., Russo, C., Liu, S., Stummer, W. & Di Ieva, A., Apr 2025, In: Neurosurgery. 71, p. 222 1 p., 1329.Research output: Contribution to journal › Meeting abstract › peer-review
-
Synthetic O-(2-18F-fluoroethyl)-L-tyrosine-positron emission tomography generation and hotspot prediction via preoperative MRI fusion of gliomas lacking radiographic high-grade characteristics
Suero Molina, E., Tabassum, M., Azemi, G., Özdemir, Z., Roll, W., Backhaus, P., Schindler, P., Valls Chavarria, A., Russo, C., Liu, S., Stummer, W. & Di Ieva, A., 2025, In: Neuro-Oncology Advances. 7, 1, p. 1-14 14 p., vdaf001.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)67 Downloads (Pure) -
Artificial intelligence in brain tumors
Suero Molina, E., Azemi, G., Russo, C., Liu, S. & Di Ieva, A., 2024, Computational neurosurgery. Di Ieva, A., Suero Molina, E., Liu, S. & Russo, C. (eds.). Switzerland: Springer, Springer Nature, p. 201-220 20 p. (Advances in Experimental Medicine and Biology; vol. 1462).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
1 Citation (Scopus)