( en | de | ru )

 

Disambiguation of "Suzuki, Kenji"

Author of the publication

copydeleteadd this publication to your clipboard
Torso-Based Control Interface for Standing Mobility-Assistive Devices.

, , , and . CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yoko Suzuki

Shigenobu Suzuki

Seiichi Suzuki

Kazuyo Suzuki

Keiko Suzuki

 

Other publications of authors with the same name

Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs., and . Pattern Recognit., (2017)Neural Edge Detector - A Good Mimic of Conventional One Yet Robuster against Noise., , and . IWANN (2), volume 2085 of Lecture Notes in Computer Science, page 303-310. Springer, (2001)Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79630F. SPIE, (2011)Computer-aided detection of polyps in CT colonography by means of AdaBoost., and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83150V. SPIE, (2012)Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6915 of SPIE Proceedings, page 69150M. SPIE, (2008)Reduction in training time of a deep learning model in detection of lesions in CT., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105753V. SPIE, (2018)Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): Consolidation, ground-glass opacity (GGO), and normal opacity., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 1057536. SPIE, (2018)Computer-aided diagnosis system for coronary artery stenosis using a neural network., , , and . Medical Imaging: Image Processing, volume 4322 of SPIE Proceedings, SPIE, (2001)Optimizing two-pass connected-component labeling algorithms., , and . Pattern Anal. Appl., 12 (2): 117-135 (2009)Max-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography., and . IEEE J. Biomed. Health Informatics, 18 (2): 585-593 (2014)