Research output per year
Research output per year
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Dive into the research topics where Software Engineering is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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
Profiles
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Carlos NOSCHANG KUHN
- Software Engineering - Research Chair in Open Source Technologies
Person: Research Focused
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A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of EDA
Aziz, S., Joseph, C., Hirachan, N., Murtagh, L., Chetty, G., Goecke, R. & Fernandez-Rojas, R., 2025, In: Biomedical Signal Processing and Control. 104, p. 1-12 12 p., 107454.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Deep Learning Framework Based on Generative AI for Medical Image Analysis
Kallappadevara Math, S., CHETTY, G. & White, M., 2025, 2025 International Conference on Intelligent Control, Computing and Communications (IC3) . Awasthy, N., Singh, V. K., Pandey, N. K., Singh Sengar, R., Singh, U. & Govil, S. (eds.). India: IEEE, Institute of Electrical and Electronics Engineers, p. 493-501 9 p. (2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
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Empirically Transformed Energy Patterns: A novel approach for capturing fNIRS signal dynamics in pain assessment
Khan, M. U., Aziz, S., Murtagh, L., Chetty, G., GOECKE, R. & Fernandez Rojas, R., Jun 2025, In: Computers in Biology and Medicine. 192, p. 1-12 12 p., 110300.Research output: Contribution to journal › Article › peer-review
Activities
- 1 Invited talk
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Multimodal Generative AI: the Next Frontier in Medical Image Analysis
CHETTY, G. (Speaker)
14 Feb 2025Activity: Talk or presentation › Invited talk