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Dive into the research topics where Usman Roshan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A Cascaded Neural Network System For Rating Student Performance In Surgical Knot Tying Simulation
Xue, Y., Eletta, O., Ady, J. W., Patel, N. M., Bongu, A. & Roshan, U., 2023, Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023. Institute of Electrical and Electronics Engineers Inc., p. 58-64 7 p. (Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Link opens in a new tab Scopus citations -
ACCURACY OF WHITE BOX AND BLACK BOX ADVERSARIAL ATTACKS ON A SIGN ACTIVATION 01 LOSS NEURAL NETWORK ENSEMBLE
Xue, Y. & Roshan, U., 2023.Research output: Contribution to conference › Paper › peer-review
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An AI system for evaluating pass fail in fundamentals of laparoscopic surgery from live video in realtime with performative feedback
Xue, Y., Hu, A., Muralidhar, R., Ady, J. W., Bongu, A. & Roshan, U., 2023, Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023. Jiang, X., Wang, H., Alhajj, R., Hu, X., Engel, F., Mahmud, M., Pisanti, N., Cui, X. & Song, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 4167-4171 5 p. (Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Link opens in a new tab Scopus citations -
Defense Against Adversarial Attacks Based on Stochastic Descent Sign Activation Networks on Medical Images
Yang, Y., Shih, F. Y. & Roshan, U., Mar 15 2022, In: International Journal of Pattern Recognition and Artificial Intelligence. 36, 3, 2254005.Research output: Contribution to journal › Article › peer-review
10 Link opens in a new tab Scopus citations -
Accurate and adversarially robust classification of medical images and ECG time-series with gradient-free trained sign activation neural networks
Yang, Z., Yang, Y., Xue, Y., Shih, F. Y., Ady, J. & Roshan, U., Dec 16 2020, Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020. Park, T., Cho, Y.-R., Hu, X. T., Yoo, I., Woo, H. G., Wang, J., Facelli, J., Nam, S. & Kang, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 2456-2460 5 p. 9313442. (Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
8 Link opens in a new tab Scopus citations
Press/Media
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No Trainers, No Translations, No Problem: How AI Is Democratizing — And Drastically Speeding Up — Workplace Training
6/25/25
1 item of Media coverage
Press/Media: Press / Media
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AI is changing how employees train—and starting to reduce how much training they need
6/11/25
3 items of Media coverage
Press/Media: Press / Media
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Cutting-Edge AI Program to Transform Surgical Training with Real-time Feedback
2/26/24
1 item of Media coverage
Press/Media: Press / Media
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AI Revolution in the Operating Room: Real-Time Feedback Transforms Surgical Training
2/26/24
1 item of Media coverage
Press/Media: Press / Media
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AI-powered surgical training program provides real-time feedback and instruction
2/26/24
3 items of Media coverage
Press/Media: Press / Media