Reference Layer Artefact Subtraction (RLAS): Electromagnetic Simulations

Autor: Chowdhury, Muhammad E. H., Khandakar, Amith, Mullinger, Karen, Hossain, Belayat, Al-Emadi, Nasser, Antunes, Bowtell, Richard

The utility of EEG-fMRI is limited by the large artefact voltages produced in EEG recordings made during concurrent fMRI. Novel approaches for reducing the magnitude and variability of the artefacts are, therefore, required. One such approach involve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1664::780aa03d5750ae4903e5f355bca9f3d7
https://hdl.handle.net/10576/42012

Improving lesion detection algorithm in digital breast tomosynthesis leveraging ensemble cross-validation models with multi-depth levels

Autor: Drukker, Karen, Iftekharuddin, Khan M., Lu, Hongbing, Mazurowski, Maciej A., Muramatsu, Chisako, Samala, Ravi K., Hossain, Belayat, Nishikawa, Robert M., Lee, Juhun

Publikováno v: Proceedings of SPIE; April 2022, Vol. 12033 Issue: 1 p120330D-120330D-7, 1082978p

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A deep learning approach for surgical instruments detection in orthopaedic surgery using transfer learning

Autor: Fei, Baowei, Linte, Cristian A., Hossain, Belayat, Nishio, Shoichi, Takafunio, Hiranaka, Kobashi, Syoji

Publikováno v: Proceedings of SPIE; March 2020, Vol. 11315 Issue: 1 p113151M-113151M-7, 1018367p

Post-operative Implanted Knee Kinematics Prediction in Total Knee Arthroscopy Using Clinical Big Data.

Autor: Hossain, Belayat Md., ii, Manabu, Morooka, Takatoshi, Okuno, Makiko, Yoshiya, Shiichi, Kobashi, Syoji

Publikováno v: Intelligent Robotics & Applications: 9th International Conference, ICIRA 2016, Tokyo, Japan, August 22-24, 2016, Proceedings, Part II; 2016, p405-412, 8p