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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
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Projects
- 1 Active
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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
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Characterizing visual neurosurgical expertise in brain MRI visualization using eye-tracking and 3D fractal dimension analysis
Kumari, P., Azemi, G., Russo, C. & Ieva, A. D., 2 Jun 2026, In: Journal of Eye Movement Research. 19, 3, p. 1-48 48 p., 62.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Downloads (Pure) -
Fractal and machine learning analyses of MALDI-TOF mass spectrometry data in glioblastoma
Lazari, L. C., Azemi, G., Russo, C., Rosa-Fernandes, L., Oba-Shinjo, S. M., Marie, S. K. N., Di Ieva, A. & Palmisano, G., 4 Aug 2026, In: Computational and Structural Biotechnology Journal. 35, 1, p. 1-8 8 p., 0169.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Quantifying the development of visual expertise in medical image interpretation using fractal eye-gaze metrics
Azemi, G., Kumari, P., Russo, C. & Di Ieva, A., 9 Jul 2026, (E-pub ahead of print) In: Medical and Biological Engineering and Computing. 14 p.Research output: Contribution to journal › Article › peer-review
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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
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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 AccessFile11 Link opens in a new tab Citations (Scopus)25 Downloads (Pure)