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Akimichi Ichinose

Showing results (1-10 of 10) with videos related to

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Neurorehabilitation and Neural Repair|July 11, 2017
Somatosensory Feedback to the Cheek During Virtual Visual Feedback Therapy Enhances Pain Alleviation for Phantom ArmsAkimichi Ichinose, Yuko Sano, Michihiro Osumi, et al.
Plos One|March 21, 2024
Development of automatic generation system for lung nodule finding descriptionsYohei Momoki, Akimichi Ichinose, Keigo Nakamura, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Reliability of phantom pain relief in neurorehabilitation using a multimodal virtual reality systemYuko Sano, Akimichi Ichinose, Naoki Wake, et al.
Neuroscience Letters|August 15, 2015
Structured movement representations of a phantom limb associated with phantom limb painMichihiro Osumi, Masahiko Sumitani, Naoki Wake, et al.
Journal of Neuroengineering and Rehabilitation|June 30, 2016
Tactile feedback for relief of deafferentation pain using virtual reality system: a pilot studyYuko Sano, Naoki Wake, Akimichi Ichinose, et al.
Neurocase|November 26, 2019
Direct evidence of EEG coherence in alleviating phantom limb pain by virtual referred sensation: Case reportMichihiro Osumi, Yuko Sano, Akimichi Ichinose, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|March 15, 2026
Artificial intelligence for accurate tumor size assessment and non-invasive adenocarcinoma prediction in small-sized lung cancerTaiyo Nakamura, Yujin Kudo, Jun Matsubayashi, et al.
Clinical Lung Cancer|May 17, 2024
AI-driven Characterization of Solid Pulmonary Nodules on CT Imaging for Enhanced Malignancy Prediction in Small-sized Lung AdenocarcinomaYujin Kudo, Taiyo Nakamura, Jun Matsubayashi, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|April 16, 2026
Artificial intelligence-enhanced three-dimensional radiological analysis for predicting spread through air spaces in early-stage lung adenocarcinomaRyosuke Amemiya, Yujin Kudo, Jun Matsubayashi, et al.
BMC Medical Imaging|November 24, 2022
Development and performance evaluation of a deep learning lung nodule detection systemShichiro Katase, Akimichi Ichinose, Mahiro Hayashi, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Neurorehabilitation and Neural Repair|July 11, 2017
Somatosensory Feedback to the Cheek During Virtual Visual Feedback Therapy Enhances Pain Alleviation for Phantom ArmsAkimichi Ichinose, Yuko Sano, Michihiro Osumi, et al.
Plos One|March 21, 2024
Development of automatic generation system for lung nodule finding descriptionsYohei Momoki, Akimichi Ichinose, Keigo Nakamura, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Reliability of phantom pain relief in neurorehabilitation using a multimodal virtual reality systemYuko Sano, Akimichi Ichinose, Naoki Wake, et al.
Neuroscience Letters|August 15, 2015
Structured movement representations of a phantom limb associated with phantom limb painMichihiro Osumi, Masahiko Sumitani, Naoki Wake, et al.
Journal of Neuroengineering and Rehabilitation|June 30, 2016
Tactile feedback for relief of deafferentation pain using virtual reality system: a pilot studyYuko Sano, Naoki Wake, Akimichi Ichinose, et al.
Neurocase|November 26, 2019
Direct evidence of EEG coherence in alleviating phantom limb pain by virtual referred sensation: Case reportMichihiro Osumi, Yuko Sano, Akimichi Ichinose, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|March 15, 2026
Artificial intelligence for accurate tumor size assessment and non-invasive adenocarcinoma prediction in small-sized lung cancerTaiyo Nakamura, Yujin Kudo, Jun Matsubayashi, et al.
Clinical Lung Cancer|May 17, 2024
AI-driven Characterization of Solid Pulmonary Nodules on CT Imaging for Enhanced Malignancy Prediction in Small-sized Lung AdenocarcinomaYujin Kudo, Taiyo Nakamura, Jun Matsubayashi, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|April 16, 2026
Artificial intelligence-enhanced three-dimensional radiological analysis for predicting spread through air spaces in early-stage lung adenocarcinomaRyosuke Amemiya, Yujin Kudo, Jun Matsubayashi, et al.
BMC Medical Imaging|November 24, 2022
Development and performance evaluation of a deep learning lung nodule detection systemShichiro Katase, Akimichi Ichinose, Mahiro Hayashi, et al.
Pageof 1