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Medical & Biological Engineering & Computing|February 7, 2024
ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentationZhanlin Ji, Juncheng Mu, Jianuo Liu, et al.
Medical & Biological Engineering & Computing|February 7, 2024
Semi-supervised multi-source transfer learning for cross-subject EEG motor imagery classificationFan Zhang, Hanliang Wu, Yuxin Guo
Medical & Biological Engineering & Computing|February 4, 2024
LieWaves: dataset for lie detection based on EEG signals and waveletsMusa Aslan, Muhammet Baykara, Talha Burak Alakus
Medical & Biological Engineering & Computing|February 2, 2024
A survey on the state of the art of force myography technique (FMG): analysis and assessmentOmar Sherif, Mohamed Mahgoub Bassuoni, Omar Mehrez
Medical & Biological Engineering & Computing|February 2, 2024
A multimodal virtual vision platform as a next-generation vision system for a surgical robotYoung Gyun Kim, Jong Hyeon Lee, Jae Woo Shim, et al.
Medical & Biological Engineering & Computing|January 13, 2024
SSDL-an automated semi-supervised deep learning approach for patient-specific 3D reconstruction of proximal femur from QCT imagesJamalia Sultana, Mahmuda Naznin, Tanvir R Faisal
Medical & Biological Engineering & Computing|August 25, 2024
Role of intra-lamellar collagen and hyaluronan nanostructures in annulus fibrosus on lumbar spine biomechanics: insights from molecular mechanics-finite element-based multiscale analysesShambo Bhattacharya, Devendra K Dubey
Medical & Biological Engineering & Computing|September 1, 2024
Development and validation of the surmising model for volumetric breast density using X-ray exposure conditions in digital mammographyMika Yamamuro, Yoshiyuki Asai, Takahiro Yamada, et al.
Medical & Biological Engineering & Computing|August 30, 2024
Evaluation of instability in patients with chronic vestibular syndrome using dynamic stability indicatorsYingnan Ma, Xing Gao, Li Wang, et al.
Medical & Biological Engineering & Computing|September 29, 2024
A review of deep learning methods for gastrointestinal diseases classification applied in computer-aided diagnosis systemQianru Jiang, Yulin Yu, Yipei Ren, et al.
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